Resource Management Strategies Research Articles

Strategi Pengelolaan Sumber Daya Manusia untuk Menekan Perpindahan Tugas Pegawai

This study aims to find out human resource management strategies to reduce the transfer of employee duties. This research is a qualitative descriptive research, descriptive research does not provide treatment, manipulation or alteration to the variables studied, but describes a condition as it is. Data collection is carried out through observation, interviews, and documentation. Data analysis was carried out qualitatively consisting of data reduction, data presentation, and conclusion drawing. As a result of the previous discussions, the author concludes that effective HR management strategies to suppress the transfer of employee duties are a key factor in the success of the organization. By implementing the right strategies in human resource management, organizations can reap significant benefits, from increased productivity to better employee retention. It is important for organizations to continue to improve strategies in effective human resource management to reduce the transfer of employee duties in accordance with the development of the times and employee needs.

Challenges and way forward in the handling and disposal of battery waste: Towards sustainable practices

The management and disposal of battery waste, particularly lead-acid batteries, present numerous challenges that must be addressed to ensure environmental protection, public health, and sustainable resource management. This thesis examines the multifaceted nature of these challenges and explores potential solutions for sustainable battery management. Drawing on insights from prior research, field observations, stakeholder interviews, and literature reviews, the study synthesizes existing knowledge to inform strategies for mitigating the environmental, safety, and economic impacts associated with battery waste. The current scenario on battery waste management highlights significant challenges, including environmental pollution, health risks, safety hazards, recycling challenges, regulatory compliance issues, technological limitations, infrastructure constraints, and the need for public awareness and education. Countermeasures to address these challenges encompass regulatory interventions, technological innovations, infrastructure development, capacity building, and public engagement initiatives. By integrating findings from diverse sources, this thesis aims to contribute to the existing knowledge base on battery waste management and propel strategies for sustainable resource management.

Is human resources management sustainable enough? Evidence from the food industry

PurposeBased on the Natural resource-based view (NRBV), this study aims to analyze the association between the Sustainable Development Goals related to Gender Equality, Decent Work, Innovation, and Climatic Action in the Food Industry.Design/methodology/approachA quantitative study is adopted based on the 2019 World Bank Enterprise Survey microdata. The database includes 1,242 food enterprises from 16 European Union countries. We applied logistic regression with cluster robust standard errors.FindingsDespite global efforts to promote decent work and gender equity, the anticipated results have not yet been achieved, suggesting varying performance in different contexts. Food firms, characterized by significant environmental impacts and seasonal tasks, employ diverse Human Resource Management (HRM) strategies based on whether they pursue innovation or environmental objectives. Grounded in the NRBV, our findings underscore the importance of investing in qualified workers and offering attractive wages to meet environmental goals, as well as providing stable contracts for female workers. The NRBV framework also highlights the crucial role of product and process innovations, whether green or not, in achieving climate action objectives.Practical implicationsEuropean policies must be adapted to the human resources characteristics in the food industry, providing specific training on environmental and innovation issues and contributing to more work stability and gender equality.Originality/valueOur study applies the NRBV to analyze how human resources and product/process innovations can boost environmental preservation in an industry characterized by strong environmental impacts, seasonal tasks, and financial constraints.

Is human resources management sustainable enough? Evidence from the food industry

PurposeBased on the Natural resource-based view (NRBV), this study aims to analyze the association between the Sustainable Development Goals related to Gender Equality, Decent Work, Innovation, and Climatic Action in the Food Industry.Design/methodology/approachA quantitative study is adopted based on the 2019 World Bank Enterprise Survey microdata. The database includes 1,242 food enterprises from 16 European Union countries. We applied logistic regression with cluster robust standard errors.FindingsDespite global efforts to promote decent work and gender equity, the anticipated results have not yet been achieved, suggesting varying performance in different contexts. Food firms, characterized by significant environmental impacts and seasonal tasks, employ diverse Human Resource Management (HRM) strategies based on whether they pursue innovation or environmental objectives. Grounded in the NRBV, our findings underscore the importance of investing in qualified workers and offering attractive wages to meet environmental goals, as well as providing stable contracts for female workers. The NRBV framework also highlights the crucial role of product and process innovations, whether green or not, in achieving climate action objectives.Practical implicationsEuropean policies must be adapted to the human resources characteristics in the food industry, providing specific training on environmental and innovation issues and contributing to more work stability and gender equality.Originality/valueOur study applies the NRBV to analyze how human resources and product/process innovations can boost environmental preservation in an industry characterized by strong environmental impacts, seasonal tasks, and financial constraints.

Remote Sensing Assessment of Water Resources, Vegetation, and Land Surface Temperature in Eastern Saudi Arabia: Identification, Variability, and Trends

Saudi Arabia has one of the biggest water shortages and the least vegetation in the world, which is presumed to provoke this problem further due to climate change. Therefore, the present study investigates the water, vegetation, and temperature over Al-Asfar Lake region, Al Ahsa, Eastern province of Saudi Arabia using the Normalized Difference Water Index (NDWI), Normalized Difference Vegetation Index (NDVI), and Land Surface Temperature (LST: °C) from Landsat-8 based operational land imager (OLI) measurements for the period 2013 to 2023. This study presented annual and seasonal (dry months: June–September and wet months: December–April) spatiotemporal distribution and variations, calculated their absolute change and trends, and examined their relationship. Results showed positive NDWI values over Al-Asfar Lake, indicating waterbodies; while positive NDVI values on the lake's bank, signifying vegetation. Notably, there were significant temporal variations in water and vegetation observed on annual, seasonal, and monthly scales. The study also found an overall decrease in vegetation areas of 5.36 km2 in 2023 compared to 2013, while waterbodies increased by 8.83 km2. The trend analysis using area-averaged data demonstrated that NDWI increased on annual (0.0075/year) and seasonal (dry: 0.0083/year and wet: 0.0049/year) scales, while NDVI decreased (annual: 0.0066/year, dry: 0.0083/year, and wet: 0.0009/year). Moreover, LST was recorded least amount over waterbodies (28.23 °C) and vegetation (32.45 °C) covered areas compared to the entire lake region (38.43 °C), respectively. Remark, LST displayed decreasing trends over waterbodies (−0.05/year), followed by vegetation (−0.17/year), and the entire lake region (−0.0001/year), signifying that water and vegetation are vital components to controlling land surface temperature in this region. Finally, the LST showed a positive correlation with NDVI and negative correlation with NDWI. There may be a direct and indirect impact of climate change upon NDVI, LST, and NDWI as shown by the decreases in NDVI and LST and an increase in NDWI. This study can be considered as a base document to monitor waterbodies, vegetation cover, and temperature changes using remote sensing measurements of NDWI, NDVI, and LST, which will assist policymakers in developing water resource management, irrigation planning, and environmental monitoring strategies.

Resource Requirements in a Burn Mass Casualty Event

Burn mass casualty event occurrences are rare but will place significant burdens on any burn unit or healthcare system. Effective disaster preparedness plays a significant role in mitigating the aftermath of a burn mass casualty. The aim of this study was to assess the resource requirements during the initial two weeks of a burn mass casualty event. Eight patients in a burn mass casualty event were simulated using the Emergo Train System®. These simulated patients were matched with real historical patients treated in our burn centre, and their resource requirements were analysed. An average of eight staff is required to care for a patient per day along with almost 75 h of operating time (excluding anaesthesia and turnover time). A substantial quantity of consumables was used in the first two weeks. This study has demonstrated the substantial material consumption and staff requirements in the first two weeks of management in a burn mass casualty event. Such findings will offer valuable insight for disaster preparedness planning and resource management strategies.

Multi-step-ahead prediction of water levels using machine learning: A comparative analysis in the Vietnamese Mekong Delta

This study evaluates the efficacy of five machine learning algorithms Support Vector Regression (SVR), Decision Tree (DT), Random Forest (RF), Light Gradient Boosting Machine Regressor (LGBM), and Linear Regression (LR) in predicting water levels in the Vietnamese Mekong Delta's tidal river system, a complex nonlinear hydrological phenomenon. Using daily maximum, minimum, and mean water level data from the Cao Lanh gauging station on the Tien River (2000-2020), models were developed to forecast water levels one, three, five, and seven days in advance. Performance was assessed using Nash-Sutcliffe Efficiency, coefficient of determination, Root Mean Square Error, and Mean Absolute Error. Results indicate that all models performed well, with SVR consistently outperforming others, followed by RF, DT, and LGBM. The study demonstrates the viability of machine learning in water level prediction using solely historical water level data, potentially enhancing flood warning systems, water resource management, and agricultural planning. These findings contribute to the growing knowledge of machine learning applications in hydrology and can inform sustainable water resource management strategies in delta regions.

Multi-criteria GIS-based land suitability analysis for rice cultivation: a case study in Guilan Province, Iran.

Ensuring food security and sustainable resource management has become a paramount global concern, prompting significant attention to land suitability analysis for enhancing agricultural production. In this study, an AHP-weighted overlay method was employed to delineate rice cultivation suitability in Guilan province, Iran, a central hub for rice production. Sixteen climatic, topographic, and soil variables were integrated, and individual maps were reclassified to align with the specific requisites for rice production. The results revealed three suitability classes: including 'very suitable,' 'suitable,' and 'moderately suitable', covering 91%, 6%, and 3% of the land, respectively. Soil attributes, particularly organic matter, significantly influenced suitability (weight value of 0.745), with topographic and soil factors outweighing climate in assessment. While salinity is generally absent, organic matter deficiency affects 44% of the land. Phosphorus imbalances are prevalent, with potassium toxicity observed in 10%. Microelement deficiencies, especially in iron and zinc, are noted. Additionally, the results indicated that topographic and soil attributes played a more significant role than climate-related factors in assessing land suitability for rice cultivation within the study area. This research provides a comprehensive spatial analysis of all variables in the study region, shedding light on the complexities of land suitability for rice cultivation. These findings contribute to the understanding of agricultural sustainability and resource management strategies in the context of food security.

Optimizing the management of multiple water resources in irrigation area under uncertainty: A novel scenario-based multi-objective fuzzy-credibility constrained programming model

Effective water resources management is vital for sustainable development, healthy ecosystems, stable socio-economic, and human well-being. However, managing water resources faces challenges due to the involvement of multiple stakeholders and uncertainties in various hydrologic fluxes. This complexity makes it rare for research to simultaneously address the hidden uncertainties in both objectives and constraints. Here, we developed a scenario-based multi-objective fuzzy-credibility constrained programming approach and applied it to the water resource management system (SMOFCP-WRMS) of the Zhaokou Yellow River Diversion Irrigation Area Phase II Project (ZKID-II). This method handles uncertainties represented by scenarios and fuzzy sets, while also resolving fuzzy uncertainty parameters within the multiple objectives and constraints of the model. We solve the SMOFCP-RWMS model by integrating the Nondominated sorting genetic algorithm III (NSGA- III) and compromise programming (CP) method. The results show that: (1) An increase in constraints violation risks (credibility level from 0.5 to 1.0) results in a decrease in water resources allocation and pollutant discharge by 25.95 × 106 m3 and 207.63 tonne, respectively, accompanied by a decline in net economic income by 68.04 × 106 CNY; (2) From extraordinary dry year to normal year (design frequencies from 95 % to 50 %) leads to a reduction in water shortage by 167.07 × 106 m3. Incorporating ‘credibility levels’ and ‘design frequencies’ would be beneficial for addressing uncertainties, including fuzzy information and discrete possibilities for the future; (3) Regarding the multi-objective model solution, the combined NSGA- III and CP approach demonstrates an average increase of 1.71 % in net economic benefits and 4.03 % in total pollution discharge, along with a 5.91 % reduction in the water deficit ration compared to the traditional CP method. Although the ecological benefits decrease slightly in the compromise-optimal solutions using the combined NSGA- III and CP method, the economic and social benefits are improved compared to those from the combined NSGA- II and CP method. This study provides valuable decision-making guidance for water resources managers in irrigated areas, aiding them in balancing economic, social, and ecological benefits, and enabling the section of an optimal water resources management scheme based on acceptable risk levels under various uncertain conditions.

Human Resource Management Strategy the Role of Managers and Career Development

The process of career development enables employees to identify their career goals within the context of human resource management strategies. Furthermore, the role of the manager is an important aspect to consider. The objective of this study is to ascertain the role of managers at PT XYZ in the career development of its employees. The research method employed was that of qualitative research using a case study model. This approach entails an in-depth and detailed investigation of a specific subject within a defined context, involving a single research subject, document, or event. The findings of this study indicate that PT XYZ's resource management has facilitated the career development of its employees through the implementation of continuous training programs, accompanied by a systematic evaluation process to ensure the efficacy of these programs in aligning with the needs of employee career development. Additionally, the role of the manager in the context of human resource management at PT XYZ has been identified as a crucial factor in this process. Furthermore, the organization has demonstrated its commitment to employee career advancement through the implementation of a promotion structure, which has been duly approved by the board of directors.

Securing Water for Arid Regions: Rainwater Harvesting and Sustainable Groundwater Management using remote sensing and GIS techniques

Arid regions experience climatic stress under climate change: increased drought frequency coupled with intensified storm events. This disruption and lack of precipitation patterns leads to water scarcity and hinders the achievement of sustainable development goals. Egypt drainage basin exhibiting the greatest suitability for the implementation of rainwater harvesting (RWH) strategies. To facilitate the development of sustainable water resource management practices in the region, this study uses a multi-criteria methodology to delineate optimal zones for RWH within the Wadi Safaga. Integration of radar and optical remote sensing data obtained from Sentinel-1&2, Landsat-8, ALOS/PALSAR, and Sentinel-1 Interferometric SAR with climatic Tropical Rainfall Measuring Mission (TRMM), hydrological, and geological datasets emphasizes the hydrologic characteristics of the catchments. Additionally, the analysis of rainfall intensity patterns within the basin was undertaken. Thirteen factors are used in the predicted model including elevation, slope, curvature, depression, lithology, radar, InSAR CCD, drainage density (Dd), distance to river (DR), vegetation, topographic wetness index (TWI), rainfall, and lineament density. A knowledge-driven Geographic Information System (GIS) methodology, including weighted factors based on the Analytical Hierarchy Process (AHP), was implemented to delineate plausible areas for RWH and groundwater potential zones (GWPZs). The resultant map categorized the basin into five GWPZ classes: very low (14%), low (28%), moderate (27%), high (21%), and very high (10%). Furthermore, the study identified optimal locations for constructing reservoirs to store harvested rainwater and provide protection for downstream mining, industrial, and tourism activities. In conclusion, the obtained information is crucial for planners and decision-makers to implement sustainable water resource management strategies within the Wadi Safaga basin.

Human Resources Management Strategies and Teachers’ Job Performance in Public Senior Secondary Schools

Human resources management strategies have played tremendous roles in the attainment of educational goals. The study investigated human resources management strategies and teachers’ job performance in public senior secondary schools in Kwara State. The study adopted a descriptive survey of correlational type. Two research questions and one hypothesis were raised to guide the study. The researcher's instrument was titled Human Resources Management Questionnaire” (HRMSQ) and Teachers’ Job Performance Questionnaire (TJPQ) was used to collect data for the study. Descriptive statistic of frequency counts, percentages, mean and standard deviation was used to analyse demographics and answer the research questions raised. Inferential statistics of Pearson Product Moment Correlation statistics were used to test the formulated research hypotheses. The findings of the study revealed that; staff promotion practices constituted the highest human resources management strategies in senior secondary schools in Kwara State. Teachers’ job performance was high in public senior secondary schools in Kwara State. There was a significant relationship between human resources management strategies and teachers’ job performance in senior secondary schools in Kwara State. It was recommended among others that public senior secondary schools in Kwara State should give special emphasis on improving their human resources management strategies in the areas of teamwork, job definition, employee participation, compensation, career planning and training.

Global challenges of the mining industry: Effect of job insecurity and reward on turnover intention through job satisfaction

Orientation: This research focusses on the dynamics of job insecurity, job satisfaction and employee turnover intentions in the Indonesian mining industry facing significant global and local economic challenges.Research purpose: This research aims to investigate the influence of job insecurity and rewards on the turnover intentions of employees with job satisfaction as a mediating variable in the mining industry of Indonesia.Motivation for the study: This research is based on the observation that the mining industry faces high turnover rates, which can be detrimental to company operations and sustainability.Research approach/design and method: This research uses a quantitative approach by collecting data through surveys distributed to employees in various mining industries. The population in this study were employees of the mining industry in PT Vale Indonesia, totalling 3044 employees, and a sample of 230 respondents was taken at random.Main findings: The main findings show that job insecurity negatively influences job satisfaction, increasing employee turnover intentions. However, when companies implement a fair and adequate reward system, the negative impact of job insecurity on job satisfaction and turnover intentions can be minimised.Practical/managerial implications: The practical implication of this research is the importance of the mining industry developing human resource management strategies that not only focus on competitive compensation but also create a stable and satisfying work environment.Contribution/value-add: This research provides an important contribution to the development of human resource management by highlighting the mediating role of job satisfaction in the relationship between job insecurity and turnover intentions. These findings provide new insights for companies in overcoming employee retention challenges with a holistic approach and good reward system.

Impact of Human Resource Management on The Implementation of Physical Education Program in Selected Universities in Guizhou Province: Basis for Inputs to Policy Reformulation

This study investigated the impact of human resource management (HRM) strategies on the implementation of Physical Education Programs (PEPs) in selected universities within Guizhou Province, China. Employing a descriptive-correlational research design, data were gathered through self-made questionnaires assessing the implementation of HRM practices and PEPs. The study involved 310 physical education teachers from Guizhou Medical University, Guizhou University, and Guizhou Normal University. Findings revealed moderate to high levels of HRM implementation across various aspects, with room for improvement in employee satisfaction and compensation. Similarly, PEP implementation demonstrated moderate levels across key areas, suggesting opportunities for enhancement. Significant correlations were observed between certain HRM practices, such as performance evaluation, and aspects of PEP implementation, notably curriculum integration. However, other HRM factors showed less substantial impacts on PEP implementation. Based on these findings, recommendations were proposed to optimize HRM practices and improve PEP effectiveness. These included tailored professional development initiatives, revised performance evaluation practices, prioritization of employee satisfaction, enhancement of compensation and benefits, promotion of academic freedom, adoption of a holistic HRM approach, facilitation of collaborative partnerships, and establishment of a culture of continuous improvement and evaluation.

Enhancing Educational Quality through Principals' Human Resources Management Strategies

This article investigates the principal's strategies for enhancing the quality of education through human resource management at MTs Al Anwar Sarang. The school faces several challenges, including teacher discipline, the mismatch between academic qualifications and teaching assignments, and the mastery of learning methods and media. A qualitative research method was employed, involving in-depth interviews to gather data on the strategies used by the school principal to improve education quality. Interviewees included principals, educators, education personnel, and other relevant parties. The data were analyzed using data condensation techniques as described by Miles and Huberman, followed by presentation and conclusion drawing. The study revealed that the principal implemented several effective strategies. These included granting educators the freedom to develop professionally, providing motivation and support, delegating training responsibilities, and involving resource persons. Additional support was given through adequate facilities, sufficient time, family meetings, and rewards. These strategies led to improvements in individual skills and fostered a dynamic, collaborative, and reward-focused school environment. Specifically, they enhanced educator discipline, improved the quality of teaching, and bolstered mastery of learning methods and media. The findings suggest that the principal’s policies, which promote autonomy and professional development, significantly contribute to educational improvements. Furthermore, the strategies created a positive atmosphere and a solid community of educators, supporting sustainable growth for the entire educational team. This study provides valuable insights for educators, policymakers, and researchers into how strategic human resource management can enhance education quality. The pragmatic framework introduced here demonstrates how school principals can effectively guide human resource management to achieve significant educational improvements.

Implementasi Manajemen Sumber Daya Manusia dalam Meningkatkan Motivasi Kerja

Work motivation is an important factor in improving employee performance and achieving organizational goals. Human Resource Management (HRM) plays a crucial role in motivating employees through various strategies and policies. The method used in this study is a type of qualitative research. The data sources obtained in this study are from the results of library research from various sources. The main source of data for this research is the results of research published on google scholar. Data analysis was carried out qualitatively with the stages of data reduction, data presentation, and conclusion drawn. The results of this study are obtained how the role of human resource management in increasing work motivation, effective human resource management strategies and policies to increase work motivation, as well as challenges and solutions in the implementation of human resource management to increase work motivation

Understanding performance of public hospitals: operational strategies approach in Kajiado County, Kenya

The performance of the healthcare sector is crucial for delivering optimal patients care and creating efficient healthcare systems. However, Kajiado County in Kenya faces various challenges that obstruct effective performance. This paper aims to assess the impact of operational strategies on performances of public hospitals in Kajiado County, Kenya. Specifically, it aimed to investigate the effect of information management strategy, continuous quality improvement strategy, innovation strategy, and resources management strategy on hospital performance. This study was anchored on balanced scorecard model, resource-based theory, quality improvement theory, and technology acceptance model, and employed a descriptive research design. Primary data was gathered through questionnaires distributed to full-time healthcare workers, following a successful pilot study in Narok County. Data collection utilized the drop-and-pick later method. Statistical Package for the Social Sciences software was used to analyze the data, involving descriptive statistics such as percentages, frequencies, means, and standard deviations while multiple regression model was used to test the relationship between independent variables and the dependent variable. Main findings of the study revealed that there exists a statistically significant relation between information management strategy and hospital performance, as well as continuous quality improvement strategy, innovation strategy, and resource management strategy, respectively. Consequently, the study recommended that the County Health Department should initiate a comprehensive training program for healthcare professionals, collaborate with hospital management to adopt innovative technologies, and identify and address skill gaps while promoting a positive work environment within public hospitals in Kajiado County. These actions aim to enhance hospital performance and ultimately improve patient care in the region.

The Future of DevOps Compute: A Survey of Innovative Strategies for Efficient Resource Utilization

This paper investigates innovative strategies employed by DevOps teams to optimize compute resource utilization within their environments. High compute resource utilization is critical for efficient application development and deployment in DevOps workflows. Traditional virtual machines (VMs) often lead to resource waste due to overprovisioning and static allocation. This research analyzes the growing adoption of containers for achieving higher density and finer-grained resource control. Additionally, the impact of autoscaling and serverless functions on dynamically adjusting compute resources based on real-time demand is examined. Through a comprehensive survey, the paper identifies key trends, challenges, and best practices associated with optimizing compute utilization in DevOps. The findings aim to guide DevOps teams towards efficient and cost-effective compute resource management strategies within the ever- evolving landscape of application development. Keywords—DevOps, Compute Resource Utilization, Containers, Virtual Machines, Autoscaling, Serverless Functions, Resource Management, Application Development, Cost Optimization, Dynamic Resource Allocation

ორგანიზაციული კულტურის განვითარების ხელშემწყობი ფაქტორები და თანამედროვე მიდგომები

Organizational culture development, focusing on facilitating factors and modern approaches within Georgian organizations is an important factor. Organizational culture holds fundamental importance for organizational functioning, influenced by decisive factors extending beyond the economic sphere into social and political contexts. Consequently, organizations must address these external influences positively in today's world. The development and implementation of organizational culture are crucial for the long-term success and sustainable growth of an organization. However, the concrete execution of these processes often encounters challenges. Over time, leaders increasingly recognize the significance of fostering a healthy organizational culture for successful operation, necessitating the exploration of new, modern approaches and their implementation. The factors and support programs contributing to the establishment of organizational culture are qualification enhancement programs, human resources management strategies, team-building initiatives, and motivational activities and events. Special attention is given to employee evaluation systems, which significantly impacts employee motivation and offers a comprehensive view of employee performance. The integration of modern technology in organizations has brought significant changes in traditional operational methods, facilitating a new level of organizational management. Different models of organizational culture and the methods, strategies, and enabling factors that support their development are explored in the article, even though there isn't a single model for fostering organizational culture that meets the needs of all organizations in terms of content, roles, and functions.

A policy configured resource management scheme for AHNS using link reliability K‐means clustering algorithm and Weibull distribution‐based blue monkey optimization

SummaryCognitive Radio Ad Hoc Networks (CRAHNs) are an essential method for resolving conflicts between extreme spectrum scarcity and rapid traffic increase while maintaining high‐quality service for consumers. However, the coexistence of primary and secondary users represents a critical challenge for reasonable resource allocation in order to provide a sustaining system performance. Many approaches have been developed to efficiently allocate resources; however, these methods are currently limited by things like user collision, strange traffic networks, and high data transmission error rates. To address these constraints, this paper proposes a policy‐configured reinforcement learning‐based ad hoc network (AHN) model. To obtain the ideal policy configuration for the network, the system first models the cognitive radio (CR) network, in which nodes are initialised and grouped employing the Link Reliability K‐Means clustering Algorithm (LR‐KMA). The available spectrum was then detected and separated into multiple bands utilizing coherent‐based detection (CBD) and signal source identification employing the Parzen–Rosenblatt Window‐based Restricted Boltzmann Machine (PRW‐RBM). Next, the learning model for the resource allocation process employs the Weibull Distribution‐based Blue Monkey Optimization (WD‐BMO) approach to pick the relevant bands. Finally, the experimental results were analyzed in order to evaluate the proposed resource allocation model's performance in CRAHNs. When compared with previous findings, the proposed method improves resource utilization by 5%, the proposed model achieves a 7% higher throughput, and the PRW‐RBM's accuracy improves classification accuracy by 1.07%.