Research Problem Research Articles (Page 1)

This study aims to analyse the reality of audit practices within the Libyan Audit Bureau and to assess their compliance with the requirements of the International Standards on Auditing (ISA200), (ISA220), given their pivotal role in defining professional responsibilities and ensuring quality performance in audit engagements. The significance of the study stems from the need to evaluate the extent to which regulatory bodies in Libya adhere to international standards, thereby enhancing the reliability of government financial reports and improving the efficiency of audit performance. The research problem lies in the potential gap between the formal adoption of international standards and their actual implementation within the Bureau, particularly in light of the institutional and environmental challenges facing audit work in Libya. The study employed a descriptive-analytical approach and relied on a field survey involving 119 auditors from the Bureau’s technical departments. The questionnaire consisted of (36) items distributed across four main dimensions representing the scope of analysis: ethical dimension, risk dimension, technical dimension, and supervision and quality dimension. Data were analysed using factor analysis, which revealed six principal dimensions of (ISA200), (ISA220), explaining (64.205%), of the total variance. The behavioural/ethical and technical dimensions separated into independent factors, namely professional judgment, evidence, independence, and ethics. Meanwhile, items from different dimensions converged into a single practical factor representing the implementation stage (audit execution, results analysis, and response to deficiencies). The supervision and quality dimension split into two main factors: team quality and administrative oversight on one hand, and independent review and compliance monitoring on the other. This distinction reflects respondents’ differentiation between internal and external supervision. The most prominent factor was leadership, planning, and responsibility for engagement quality, followed by ethical commitment and performance monitoring, indicating a high level of professional alignment with the requirements of the two standards. The findings also revealed a limited gap in the dimensions of independence and supervision, highlighting the need to strengthen institutional control mechanisms and professional development. The study concludes that the Libyan Audit Bureau conducts audits with a high degree of professional discipline, while emphasizing the necessity of reinforcing auditor independence and activating peer review to ensure audit quality in the future.

ABSTRACT We investigate the nexus between economy (per-capita income), ecology (pollution intensity), and energy (mix diversification). The research problem arises from the lack of studies incorporating energy mix diversification into the energy – growth nexus and energy – environment nexus. We construct a concentration – diversification index of energy sources satisfying the cardinality property and apply it to 32 OECD countries over 1970–2017. Annual country-level panels are analyzed through dynamic semi-log specifications with fixed effects and instrumental variables to address endogeneity. Results indicate that greater diversification of the energy mix is associated with reductions in pollution intensity (≈2.6% short run and ≈9.6% long run per unit decrease in the index), while also supporting higher per-capita income (≈1.3% and ≈5.7%). Robustness checks, including alternative unit-root and cointegration diagnostics and controls for cross-sectional dependence, confirm the findings. From a policy perspective, promoting diversified energy portfolios aligns with simultaneous improvements in economic performance and environmental quality.

Background: Wasting is one of the acute nutritional problems in toddlers, reflecting a weight that is too low for their height. This condition can increase the risk of mortality and long-term developmental disorders. The prevalence of wasting in Indonesia in 2022 reached 7.7%, with Bandar Lampung City at 8.4%, exceeding the provincial average. Objective: This study aims to review research articles or journals on the factors causing wasting in toddlers. Methods: The method used in this study is a literature review sourced from the Google Scholar and PubMed databases within the period of 2020-2025. Literature selection was conducted based on inclusion and exclusion criteria determined by the researcher. This review stage includes identifying the research problem, searching for literature, presenting data, and evaluating the data. Results: Based on the literature review collected, the causes of wasting can be categorized into direct and indirect factors. Direct factors include inadequate food intake and infectious diseases like diarrhea. Indirect factors include exclusive breastfeeding, feeding practices, and access to healthcare services. The main underlying factors are poverty, family characteristics, food distribution patterns, the mother’s education level, employment status, and household income level. Conclusion: Wasting in young children is caused by a complex interaction between direct, indirect, and primary factors. Prevention and management efforts for wasting must be designed comprehensively, considering all contributing factors, especially improved nutritional intake, management of infectious diseases, increased maternal knowledge, and improvement of family socioeconomic conditions.

THE RELEVANCE of this work lies in the analysis of the local robustness of a controlled electric drive, which is a key task in the case of operation under conditions of uncertainty, when one of the most important requirements for the system is to maintain the ability of the object of study to maintain stability and the required quality of control processes under the influence of destabilizing factors of various physical natures. PURPOSE. The paper studies the system properties of a positional electric drive with the definition of quantitative estimates of permissible variations in the parameters of the mathematical model of the system. The target setting of this analysis is to evaluate direct and indirect indicators of the quality of the positional electric drive operation based on the interval polynomial formed as a result of the study using computer modeling methods. Analysis of local robustness allows us to estimate the boundaries of asymptotic stability of the system under study under parametric disturbances. Formation of an interval polynomial based on the apparatus of Hermite-Bieler polynomials and computer modeling of the positional electric drive under study in the range of calculated boundaries of parameter variations is an important and urgent task. METHODS. When solving the research problem, methods of mathematical analysis, stability theory and theory of automatic control systems, vector-matrix equations in the form of state spaces and differential equations in operator form, the mathematical apparatus of Hermite-Biehler polynomials, as well as modeling of the dynamics equations of the electric drive under study in a software environment were used MatLab. RESULTS. In this work, the problem of analyzing the local robustness of a positional electric drive is solved and an interval polynomial with lower and upper bounds of the coefficients is obtained that accompanies the characteristic polynomial of the system under research. Based on the results of the analysis, computer modeling was carried out and quantitative estimates of the quality indicators of the functioning of the electric drive under research were obtained in the time and frequency domains. Graphs of additional motion are presented, which allow, when forming control objects of this class with sensors and coordinate controllers, to carry out a comparative analysis of the configuration of the system under research for the potential stability of performance indicators under conditions of parametric disturbances. CONCLUSION. The research of the system properties of a positional electric drive according to the output coordinate of its mathematical model from the point of view of local robustness analysis allows us to evaluate the range of parameter variations according to the degree of achievability of the required indicators of the quality of functioning of the object using the characteristic features of various control algorithms. The results of the analysis provide the opportunity to rationally distribute control resources based on classical algorithms and evaluate the effect of introducing output coordinate controllers into the system under conditions of parametric disturbances. It is also possible to compare options for the formation of correction algorithms using classical methods with an adaptive approach of search or analytical (non-search) types, based on the use of reference models of the research object with identification or direct types of control.

ABSTRACT Drawing on Celia Lury's concept of problem space, which highlights how conceptual frameworks shape what comes to be recognised as a problem, we argue that education research on youth-smartphone relations remains constrained by policy-driven formulations. These formulations centre behaviour, attention, well-being, and academic performance, producing a narrow risk-benefit discourse that limits how young people's engagements with smartphones are conceptualised. In response, we propose an affective-atmospheric approach that reframes the research problem by foregrounding the embodied, affective, and ambient ways young people navigate school life with mobile media. Through a conceptual review of scholarship at the intersection of youth geographies and mobile media studies, we show how smartphones operate as affective-technical interfaces embedded in young people's spatial and relational worlds. From this review, we outline four conceptual orientations intended to guide research and policy towards more nuanced accounts: (1) the circulation and spatialisation of affect, (2) participation in the wireless atmosphere, (3) the ambiguity of affect in mobile media, and (4) the technicity of youth's collective life. A key insight we foreground is that even when devices are out of sight, the affective relations they enable continue to circulate, shaping school experience in ambient and often overlooked ways.

Simulations play a crucial role in the modern scientific process. Yet despite (or due to) this ubiquity, the Data Science community shares neither a comprehensive definition for a “high-quality” study nor a consolidated guide to designing one. Inspired by the Predictability-Computability-Stability (PCS) framework for “veridical” Data Science, we propose six M E R I T S that a simulation study should satisfy. ( M odularity and E fficiency support the computability of a study, encouraging clean and flexible implementation. R ealism and S tability address the conceptualization of the research problem: How well does a study predict reality, such that its conclusions generalize to new data/contexts? Finally, I ntuitiveness and T ransparency encourage good communication and trustworthiness of study design and results.) Drawing an analogy between simulation and cooking, we moreover offer (a) a conceptual framework for thinking about the anatomy of a simulation “recipe”; (b) a baker’s dozen in guidelines to aid the Data Science practitioner in designing one; and (c) a case study demonstrating the practical utility of our framework by using it to autopsy a preexisting simulation study. With this “PCS primer” for high-quality Data Science simulation, we seek to distill and enrich the best practices of simulation across disciplines into a cohesive recipe for trustworthy, veridical Data Science.

The problem of the functioning of the native language and its status was and remains at all stages of the evolution of humanity and national states as one of the main and defining ones in this process. Therefore, language rights are an integral part of human and citizen rights, in particular, fundamental, natural rights. Therefore, when studying this problem, which is openly politicized today, it is necessary to take into account the consequences of such processes that took place in the past (ethnocide, lingocide, colonial violence, etc.) and are taking place today (wars to destroy nations, sovereign states, their language, culture, etc.), with the aim of adequately ensuring language rights and the mechanism of their protection in solving this problem. This article reveals the conceptual theoretical and methodological foundations of scientific research and the need to create an appropriate system of tools for the relevant topic by each researcher, as important conditions in reaching reliable conclusions. The scientist proves this with her publication, which is based on the legal status of the Ukrainian language in the space of time in ethnic Ukrainian lands that were under the jurisdiction of various foreign state entities. She emphasizes that only awareness of the need for a new approach in the methodology of scientific research, adherence to the essence of fundamental principles and justification of a comprehensive choice of research methods make it possible to obtain objective, scientifically based and convincing results, in particular conclusions and proposals that testify to the quality of research on such topics and problems. And also to find out the essence of the research problem both in terms of theory and expediency of application practice. This, in turn, complements and reveals the essence of the interpretation and use of language rights as fundamental in the history of state practice at various stages and with a projection on the solution of today’s language problems as a complex and multifactorial process and a concentrated expression of the results of political and legal activity in ethnic Ukrainian lands, which were at different times under the jurisdiction of various foreign state entities. The author of the study justifies the need to clearly define the direction of such political and legal research, take into account the specifics of these states and think over the system of tools that will be used, and be sure to adhere to the basic principles of research and cause-and-effect relationships.

An important planning tool is linear fuzzy fractional programming, it is used in various fields such as business, engineering, and others. We are trying to get one of the direct and effective methods that contain some arithmetic operations to obtain the optimal real values through which a multi-objective fuzzy linear programming problem (MOFLFPP) is transformed into a linear programming problem (LPP) through the use of α-cut and MaxMin technique. The field of application is Iraqi Light Industries Company and chose the best products that must be protected which achieved a possible greatest profit ratio to less cost, Where the paper will include two sections, the first is concerned with describing the data and building the mathematical model for the problem (MOFLFPP) related to the research problem. The second section deals with trying to solve the model as well as finding the optimal solution, which represents determining the best and optimal production mix that achieves maximum profits at the lowest costs in light of the restrictions imposed on the production process, which may limit the company’s ability to provide products in the required quantity and the right time. The proposed methodology proved effective in solving multi-objective linear fractional programming problems with fuzzy coefficients (MOLFPP). While the previous approach produced results between (0.19904, 0.3406), our technique improved them to (0.2087, 0.3431), demonstrating higher reliability and efficiency with an ε-optimal unique solution.

This research, analysis of the effectiveness of cash waqf in integrating the Sustainable Development Goals (SDGs) from the perspective of maslahah mursalah (a case study at mim foundation), aims to analyze the effectiveness of cash waqf implementation at MIM Foundation in integrating the SDGs, and to assess the alignment of its implementation with the principles of maslahah mursalah. The researcher formulates two main research problems: how the practice of cash waqf implementation at MIM Foundation integrates the goals of the SDGs, and how the perspective of maslahah mursalah applies to the implementation of cash waqf at MIM Foundation in relation to SDG integration. This study employs a qualitative juridical-sociological approach, using both primary and secondary data, as well as techniques including observation, interviews, and documentation. The research findings on the effectiveness of cash waqf in integrating the SDGs from the perspective of maslahah mursalah show that MIM Foundation has implemented cash waqf through the Cash Waqf Linked Deposit (CWLD) scheme, by depositing waqf funds into an Islamic Financial Institution Receiving Cash Waqf (LKS-PWU). The funds are then used for social, economic, educational, and health empowerment programs that align with several SDG indicators such as poverty alleviation (SDG 1), creation of new employment opportunities (SDG 8), provision of clean water (SDG 6), and access to education for underprivileged children (SDG 4).From the perspective of maslahah mursalah, the implementation of cash waqf by MIM Foundation has proven to bring tangible benefits to the wider community, including improved living standards, access to education and healthcare services, and economic empowerment.

The research summarizes the vision of the wonderful ceramic heritage within a framework through economic investment that combines wonderful authenticity, as the research problem helps through planning the following question: How can the ceramic craft be obtained as a source of income and an investment field with an analysis of the challenges facing potters, then we seek to search for a center towards studying the ceramic craft as a source of income and an investment field, Analyzing the challenges facing potters in transforming their craft into a source of income, and presenting practical mechanisms for marketing ceramic products locally and internationally. The importance of the research lies in its connection between the heritage and artistic dimensions of ceramics and their economic developmental dimensions. It also serves potters by investing in their talents and transforming them into economic projects, Supporting development initiatives that seek to promote small and medium-sized ceramic industries, highlighting the most important challenges facing potters in transforming the ceramic craft into a source of income, and clarifying practical mechanisms for marketing ceramic products locally and internationally, The research results showed that transforming the pottery craft into an investment and source of income requires concerted efforts between potters, cultural institutions, and government agencies, and considering and promoting e-commerce as a primary means of marketing pottery, Potters must focus on innovation in their designs and products while preserving authenticity and heritage identity, and exploit the craft of pottery to make it an important area of economic development for potters and society itself by integrating the ceramic products industry into economic development plans.

Despite global advancements in digital policing, South African law enforcement agencies continue to face systemic barriers that limit the effective adoption and equitable deployment of technology. While numerous tools, such as surveillance systems, predictive analytics, and digital case management, have been introduced, their influence on crime prevention and policing outcomes remains uneven and under-researched. This study addresses a critical gap in the literature by examining how technological innovations are shaping operational practices, institutional culture, and public trust within the South African Police Service (SAPS), with particular attention to the urban-rural divide, ethical governance, and community acceptance. The research problem centres on the disconnection between national digital policing strategies and the localized realities of SAPS precincts, many of which struggle with inadequate infrastructure, limited technical capacity, and historical legacies of mistrust. Understanding how these challenges impact the integration and effectiveness of new technologies is essential for informing sustainable, rights-based approaches to public safety. Using a qualitative methodology grounded in documentary analysis, this study reviews policy documents, SAPS reports, oversight submissions, and civil society publications from 2018 to 2024. The findings reveal that while technology has the potential to improve crime response and data management, its impact is severely constrained by uneven deployment, lack of officer training, resistance to change, and ethical concerns, particularly around surveillance in historically marginalized communities. Moreover, the study finds that the Technology Acceptance Model (TAM), while useful, must be expanded to include social and political dimensions such as trust, legitimacy, and fairness to fully account for the South African context. This study highlights the need for inclusive, ethically grounded, and context-sensitive digital policing strategies. It offers critical insights for policymakers, law enforcement leaders, and researchers seeking to harness technology in ways that promote justice, accountability, and public trust.

The Internet of Things (IoT) can communicate and process information more efficiently with the use of cloud services and fog-based solutions. IoT solutions can do more complex tasks in shorter amounts of time because to cloud and fog servers' increased processing capability, which is not achievable when depending only on IoT devices. Since IoT devices can barely handle complicated security responsibilities, the advantages of cloud and fog computing are much greater when sensitive data processing is taken into account. Trusted Execution Environments (TEEs) enable the processing of sensitive data and code within secure, separated memory regions, hence enhancing data security in cloud/fog-based IoT applications. This article presents a brief overview of the usage of TEEs to protect data in cloud/fog-based Internet of Things applications. We highlight key research problems and directions while concentrating on solutions based on the two top TEE technologies currently on the market (Intel SGX and ARM Trust zone).

This study aims to determine the influence of leadership style and work stress on employee performance at the Population and Civil Registration Office of Makassar City. This is a quantitative research study. The sample consists of all 54 employees at the Population and Civil Registration Office, selected using a saturated sampling technique. The type of data used is quantitative data obtained from questionnaires distributed based on the research problem. Data collection techniques include observation, documentation, and questionnaire distribution.. Based on statistical analysis using SPSS version 26, the results showed that leadership style has a positive and significant effect on employee performance, with a t-count value of 2.515 > 2,008 and a significance value of 0.015 < 0.05. Work stress also has a positive and significant effect on employee performance, with a t-count value of 2.422 > 2,008 and a significance value of 0.019 < 0.05. Therefore, leadership style and work stress should be continuously improved and effectively managed, as both have a significant impact on enhancing employee performance.

Synopsis The Research Problem Concerns about how organizations are governed and how they account for their stewardship and operational impacts on society, the environment, and the broader economy have given rise to stakeholder expectations about the veracity of their public disclosures. Extending accountability beyond organizational financial performance, while still important and relevant, is no longer enough to address stakeholder expectations. Thus, in recent years, the notion of assurance has expanded to include other nonfinancial organizational practices and disclosures, with a concomitant rise in scholarly research into the world of assurance, motivating us to explore developments in this regard. Motivation In this context, we respond to calls for more research into the world of assurance by reviewing 218 articles on assurance and assurance practices to document developments in this field. Target Population This includes accountants, auditors, assurance providers, finance analysts, shareholders of companies, stakeholders interested in company activities, finance managers, independent auditors, and shareholders. Adopted Methodology We used a guided (narrative and systematic) literature review process. Analyses We attempt to establish what we already know about the world of assurance and to understand where we are headed. We identify the different types of assurance and assurance practices as well as the general main themes of the studies under the assurance categories, the extent to which they have been researched, and identify areas requiring further research. We also identified the development of appropriate standards and regulations and the contribution of policymakers, practitioners, standard setters, and regulators in ensuring the integrity of corporate governance practices and the veracity of organizational disclosures. Findings In summary, among other findings, we note that the different kinds of financial and nonfinancial assurance have mostly been discussed under three broad categories: assurance practices, assurance reports, and auditor/provider role/activities. Among these three, assurance practices appear to have the most research convergence compared with assurance reports and auditor/provider role/activities.

The real estate market requires effective and precise house price prediction, as conventional models often face difficulties in generalization, computational efficiency, and interpretability. The research problem is addressed by introducing the House Price Evaluation Model (HPEM), which utilizes a hybrid deep learning network for analyzing multi-source geographic data. The network integrates the attention mechanism with spatial feature extraction, and a bat optimization algorithm is used to improve explainability and accuracy. The gathered properties are processed using normalized techniques to convert unstructured data into structured data, which directly improves the overall prediction accuracy. The bat-optimized attention mechanism with spatial networks dynamically arranges high-impact features to effectively address unstable feature importances, computation inefficiency, and poor generalization issues. In addition, the echolocation-inspired approach explores optimal solutions by balancing exploration and exploitation, thereby minimizing the deviation between the outputs and reducing training time by 30% compared to existing methods. The efficiency of the system is then evaluated using the Housing Price Dataset information, where HPEM achieves 98.5% feature stability, 1.2 hours of human-in-loop updates, and a 4.2% mean absolute error (MAE) under distribution shifts. The effective exploration of dynamic features through bat optimization integration yields 15% closer convergences, enhancing regulatory compliance and accuracy. Therefore, the developed model is effectively utilized in real estate valuation schemes.

One natural metaheuristic optimization technique is the Salp Swarm Algorithm (SSA), which takes its behavior from the swarming and feeding habits of salps in the ocean. With its straightforward structure, few parameters need, efficient exploration/exploitation balance, and adaptability to many optimization domains, SSA has garnered a lot of interest since its introduction. This paper provides a comprehensive review of SSA, highlighting its key advantages and applicability across a wide search space. The study includes its limitations, including sensitivity to problem types and reliance on the No Free Lunch theorem. This review analyzes different adaptations of SSA, such as binary versions, hybrid models, multi-objective extensions, and parameterless approaches, with the goal of enhancing performance and overcoming the limitations of the original algorithm. This paper analyzes the diverse applications of SSA in several domains, such as machine learning (including feature selection and neural network training), engineering optimization (covering scheduling, power systems, and renewable energy), image processing, localization, and additional practical areas. This study evaluates SSA through an analysis of its strengths, weaknesses, and potential areas for improvement. The study demonstrates that SSA is a promising and versatile optimization technique; however, it requires ongoing refinement to effectively address complex, dynamic, and multi-objective problems in future research.

The study aimed to understand the role of agile leadership in enhancing the effectiveness of digital transformation and its impact on improving performance and increasing efficiency in higher education institutions in Palestine. This was achieved by presenting theoretical frameworks for the role of agile leadership in digital transformation at universities. This was achieved by developing Palestinian universities to keep pace with digital transformation by applying the dimensions of agile leadership. This was achieved by providing a digital information network that supports digital transformation and is connected to global networks. This network provides university employees with the mechanisms and culture of e-management, as well as psychological, behavioral, technical, and material readiness, among other requirements for adapting to e-management. The study hypotheses included the existence of a relationship between agile leadership management and improving performance and increasing the effectiveness of digital transformation at universities. It also emphasized the existence of specific agile leadership methods that lead to improved both job performance and development effectiveness. The study used a descriptive and analytical approach to develop and monitor theoretical frameworks based on previous scientific studies and a scientific approach to analyze the research problem. The study concluded that agile leadership at universities focuses on preparing human resources to implement digital transformation, providing qualified personnel capable of using and analyzing data to make effective decisions, and being able to select human competencies and scientific expertise. It bears the burdens and efforts of data management and monitoring, as well as providing appropriate tools for statistical analysis and future forecasting, and reconciling internal resistance from employees and conflicting opinions. Flexibility and calm agile leadership helps establish an effective framework that ensures optimal implementation of digital transformation. This includes internal and external alignment in operational processes, and improves and develops the professional performance of faculty members through the provision of information. The use of self-critical thinking skills in analyzing problems and issues has a positive impact on improving performance. The study recommended the need to save time and accelerate the learning process to reduce the burden on faculty in traditional education for exams, marking, and results so that they are completed electronically. The quality of education should be improved by enhancing the quality of curricula and educational programs, and equal educational opportunities for all students to participate in the learning process, discuss, dialogue, and freely express their opinions on educational topics. Bridging the digital gap between urban and rural cultures among staff, and providing adequate professional training on the use of digital education tools and artificial intelligence in Palestinian universities.

This article presents a development and validation of a method to determine the starting time for hardening concrete flooring mechanically floated using the Dry Shake Topping technique. Until now, an informal method based on shoeprint penetration depth of 3–4 mm into the hardening concrete floor has been used in practice, but it is prone to significant errors. The probe time method described in the literature also has multiple limitations and drawbacks. Currently, there is no scientifically verified method for accurately determining the setting time of concrete mix and its early compressive strength. This gap poses a research problem because incorrect early timing of topping floating leads to further defects in concrete flooring. Through various laboratory, pilot, and technical-scale tests, a new method was developed. According to this method, floating should begin when the penetration depth of the Proctor Compaction Test Apparatus in the concrete mix reaches 4–7 mm. This penetration depth corresponds to the point at which the hardening concrete mix achieves sufficient strength to support the floating equipment while remaining plastic enough to ensure a strong bond between the topping and concrete layers. The article presents correlations between the Proctor Compaction Test results and the early strength of young concrete. It also explains practical on-site application of the method, providing immediate results without the need for interpolation. This method can be applied to any concrete mix intended for use in concrete flooring.

Research Problem: Shifting travel habits have generated demand for novel accommodation that blends comfort with authentic experience. Glamping (“ehl-i keyf” camping in Turkish) has emerged as a hybrid model of tourism, yet its relationship to design strategies such as ad hoc remains underexplored. Aim: This study examines glamping structures as a new building model in tourism and explores their alignment with the ad hoc design strategy, focusing on improvisation, material reuse, and rapid construction. Method: A case study was conducted at Whispering Springs Wilderness Retreat (Ontario, Canada). Data were collected through field observation and a semi-structured, face-to-face interview with the owners, guided by open-ended questions on site selection, construction, materials, and user experience. Findings: Results reveal that glamping structures reflect ad hoc design in four key respects: (i) improvised techniques adapted to site conditions; (ii) extensive use of reclaimed and second-hand materials; (iii) short construction periods allowing rapid deployment; and (iv) small-scale interior improvisations that enhance authenticity and comfort. Conclusion: Glamping offers a viable design model that merges ad hoc pragmatism with contemporary tourism expectations. Beyond documenting a single case, this study suggests that ad hoc design strategies can support scalable tourism development that is both sustainable and experience-oriented, including potential applications in Turkey under the cultural lens of ehl-i keyf.

The research problem being proposed is to determine how the Long Short-Term Memory (LSTM) networks forecast daily rain in the Sylhet district, Bangladesh, between June 2014 and June 2023. LMST is a form of recurrent neural network (RNN), which was utilized because it is capable of modelling the temporal association of the sequential information. The model has been trained based on data between 2014 and 2021, and the predictions have been tested up to 2022 and 2023. The results indicated that the LSTM achieved a total accuracy score of 82 with a high-performance rate at the monsoon approaching normal season (May to September). The model, however, presented some limitations in forecasting occasional rainfall events in the dry and transition months. The paper indicates the possible use of LSTM networks in the prediction of rainfall, particularly where forecasting roles of weather vary significantly. Further development could be achieved through the inclusion of more meteorological variables, improvement of data resolution, and also consideration of a hybrid form of modelling to determine predictions of extreme precipitation or rainfall predictions more perfectly.