Website Data Research Articles

Analysis of the government’s strategy and capacity in reducing the risk of fire disasters in the Indonesian capital

Urban areas are increasingly vulnerable to fire disasters due to high population density, sprawling infrastructure, and often inadequate safety measures. This study aims to analyze the capacity of the DKI Jakarta government in terms of human resource capabilities, asset readiness, and budget planning capabilities. Furthermore, it measures the government’s success as evidenced by the public response to the achievement of firefighter performance. This study uses qualitative analysis with a content analysis approach. Data sources come from annual performance report documents and the content of the DKI Jakarta Fire Department website containing city disaster information. Performance report and website data are analyzed and used as research data to support qualitative analysis. This research shows that command decisions are essential in the organizational structure of the fire brigade. Both laboratory services are carried out optimally as a concrete effort to map fire potential. The laboratory tests the safety and suitability of firefighting equipment. Available budgetary support provides broad operational powers for the fire service. The government’s strength in minimizing or overcoming fire problems has received a positive response from the public. The operational achievements of firefighting continue to be consistent and increase. Ultimately, this research provides scientific insight into disaster mitigation and reducing the fire risk in cities.

Consumption as Changemaking and Producers as Artists

Abstract In this article the authors perform a transnational feminist analysis of marketing strategies deployed in compassionate consumption. This strategy communicates to the consumer that consuming equals doing good. Using public-facing website data, the authors conduct a discourse analysis of alt-profit corporations, a term they coined to demonstrate yet another widespread strategy of late capitalism. Applying a transnational feminist perspective, they postulate that these alt-profits (meant to invoke “alternative” and “altruistic” actions by corporations) McDonaldize their marketing strategies to capitalize on consumer interests for sustainability, fair trade, “women’s empowerment,” and a desire to consume artisanal goods. They further argue that artisans from the Global South serving consumers in the Global North are framed as gendered and globalized in a way that helps sales. This is done purposefully using text and graphics, including digital storytelling, buzzwords, and vibrant photography. Contrary to the Marxist framework of alienation, artisans are presented as workers who find joy in their work. Alt-profits invite consumers to buy products and appreciate the unique experience of “meeting the artists.” The authors conclude that the formulaic pattern of communication used by alt-profits is both distinct to them yet also common in publicizing any compassionate consumption and ultimately negates the reality of current global markets necessitating exploitative capitalist structures such as opaque and unsustainable supply chains.

THE IMPACT OF TECHNOLOGICAL MODERNIZATION ON THE ECONOMIC DEVELOPMENT OF KAZAKHSTAN

In modern conditions, the transition of the economy of the Republic of Kazakhstan to an innovative path of development is possible only on the basis of changes in the technological process of all sectors of the real sector of the economy. The basis for the technological modernization of the economy is innovation, which has reached a new level in the process of evolution. The main purpose of the study is the possibility of assessing technical modernization as a factor influencing the economic development of Kazakhstan. Important for assessing the development of the country's economy are the parameters, which include GDP, foreign direct investment, added value of industry, and high-tech exports. The study examines indicators assessing technological modernization and economic development in various countries. Based on data from the Bureau of National Statistics of the Agency for Strategic Planning and Reforms of the Republic of Kazakhstan, as well as website data theglobaleconomy.com The equations are based on correlation and regression analysis. The generated equation describes the level of GDP based on 48 countries of the world where the Republic of Kazakhstan is present, but at the same time, all the presented data are used for 2023. The added value of industry, which is one of the significant components of GDP, is used to form the development of the basis of industrialization. Taking into account the technological modernization of Kazakhstan, it should mainly capture industrialization, but with current trends, it should also take into account the modern digital economy. In conclusion, suggestions are given on the existing problems of technological modernization.

Effect of Fashion E-Commerce User Experience on Customer Retention in Ghana

Purpose: The aim of the study was to analyze the effect of fashion e-commerce user experience on customer retention in Ghana. Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings: Research indicates that positive user experiences, characterized by intuitive website navigation, efficient mobile interfaces, and responsive customer service, greatly enhance customer retention rates. Users who encounter seamless transactions, personalized recommendations, and reliable delivery services are more likely to return and engage with fashion e-commerce platforms repeatedly. Unique Contribution to Theory, Practice and Policy: Theory of planned behavior (TPB), self-determination theory (SDT) & expectation-confirmation theory (ECT) may be used to anchor future studies on effect of fashion e-commerce user experience on customer retention in Ghana. Practically, fashion e-commerce platforms should invest in user-friendly website design and navigation to enhance the overall shopping experience. This includes simplifying the checkout process, ensuring mobile compatibility, and improving site speed. From a policy perspective, e-commerce regulations should include guidelines for user experience best practices. This could involve setting standards for website accessibility, data protection, and user interface design to ensure a positive online shopping experience.

Pulling Back the Curtain: A Cross-Sectional Analysis of Medical Spas in Missouri.

There is very little legislation defining the degree of supervision and training required to perform cosmetic procedures in Missouri. The medical spa industry, particularly the volume and complexity of cosmetic procedures offered by medical spas, has seen significant growth in recent years. To better understand the medical spa workforce, depth, and breadth of aesthetic procedures offered by medical spas in Missouri. Cross-sectional study based on standardized telephone interviews, supplemented by website data. Survey responses were recorded, streamlined, and analyzed. Although 94.59% of medical spas in Missouri are affiliated with a physician, only 22.52% of medical spas have a physician on-site for administration of cosmetic treatments. Nonphysician staff members who administer cosmetic services generally outnumber physician affiliates at Missouri medical spas, with the average ratio of nonphysician staff who administer cosmetic services to MD/DO affiliates per spa being 2.1:1. There is significant variability in the level of training and supervision of medical spa staff performing cosmetic treatments in Missouri. As the medical spa industry continues to grow and high-risk cosmetic procedures become more commonplace, consistent statewide regulation of medical spas is needed to prevent harmful patient outcomes.

Pengaruh Budget Transparency dan Fiscal Autonomy terhadap Financial Sustainability: Studi Empiris pada Kabupaten dan Kota di Indonesia

The purpose of this study is to analyze the effect of budget transparency and fiscal autonomy on the financial sustainability of local governments in Indonesia. The data in this study were sourced from the Local Government Financial Statements obtained from the official website of the local government and the BPK RI website and TPAD data viewed on the official website of the local government. The sample collection method uses a purposive sampling method calculated using the Slovin formula. Hypothesis testing in this study uses multiple linear regression analysis. The results showed that budget transparency has no significant effect on financial sustainability and fiscal autonomy has a significant effect on financial sustainability.

LIME: A LIne MEasuring library for large and complex spectroscopic data sets

Context. The upcoming generation of telescopes, instruments, and surveys is poised to usher in an unprecedented “Big Data” era in the field of astronomy. Within this context, even seemingly modest tasks such as spectral line analyses could become increasingly challenging for astronomers. Aims. In this paper, we announce the release of LIME. This package is tailored for multidisciplinary observations with long-slit and integral field spectroscopy (IFS) support. LIME functions encompass the reading of observational files, detecting lines, conditioned line fitting, and the plotting and storage of results. Most importantly, these measurements are structured to support the subsequent chemical and kinematic analyses. Methods. To reduce the coding effort required from users, we introduced a notation system for atomic transitions that is accessible to humans and machine-readable. Along with this system, we present an extensive database of line bands, spanning from the ultraviolet to the infrared wavelength range. Additionally, we propose a model designed to train machine learning algorithms in line detection. LIME features a comprehensive online documentation, which details the command attributes and includes several tutorials. These tutorials range from measuring a single line to analyzing an entire IFS data cube. Results. This library functions and measurements are showcased in an online virtual observatory. The data in this interactive website come from the JWST NIRSpec observations of the CEERs survey. In this regard, LIME offers improvements related to the dissemination and accessibility of astronomical spectra.

Le farfalle delle zone speciali di conservazione IT5190008 Lago di Montepulciano e IT5190009 Lago di Chiusi (Toscana)

Butterflies of the IT5190008 Lago di Montepulciano e IT5190009 Lago di Chiusi (Tuscany)’s special areas of conservation (Lepidoptera Papilionoidea). Unpublished data collected between 1990 and 2022 and bibliographic and website data updated to 2023 on the rhopaloceran fauna of the lake of Montepulciano and lake of Chiusi, two special areas of conservation (92/43/EEC) in southern Tuscany, showed 57 and 64 species. The most significant species for conservation value and interesting because they are not so common elsewhere in southern Tuscany are Zerynthia cassandra (Geyer, [1828]), Cupido argiades (Pallas, 1771), Apatura ilia ([Denis & Schiffermüller], 1775) e Nymphalis antiopa (Linnaeus, 1758). The carrying out of late mowing of the herbaceous vegetation (in October-November) carried out in rotation on plots of reduced surface area alternating over the years and the monitoring of the species are fundamental measures for ensuring the survival of the rhopaloceran fauna of the Lago di Montepulciano and Lago di Chiusi, in particular of the populations of Zerynthia cassandra (Geyer, [1828]), few in number in Chiusi and probably declining in numbers in Montepulciano.

A Financial Analysis and Valuation of FedEx Corporation

This paper introduces the basic situation of FedEx, including its current main business, industry, market, market segment, revenue and so on. In addition to an initial overview, this article provides a SWOT analysis of FedEx and analyzes its strengths, weaknesses, opportunities, and threats in various aspects, resulting in a more comprehensive and in-depth understanding of FedEx Corporation. At the same time, based on the extraction, calculation and analysis of the data of the NASDAQ website and the ESTIMIZE website, this paper can derive the financial ratios related to FedEx and analyze their trends and proportions through line charts and bar charts. In the same way, this paper obtains and calculates financial data for three FedEx competitor companies, including UPS, J.B Hunt and CH Robinson. After comparing FedEx with its competitors, this paper can estimate its current advantages and risks, and the results of the analysis are very interesting. Finally, this paper makes relevant investment proposals by taking into account the current situation in the logistics industry.

Pengembangan Sistem Informasi Penjadwalan dan Monitoring Backup Data Berbasis Web

This research aims to facilitate the admins of the Business Partner Department and IT Services at PT. Pupuk Sriwidjaja Palembang in searching for data, backing up data, and scheduling data in an organized manner. To support this convenience, the author has developed a web-based infrastructure backup data portal system, utilizing a MySQL database. This system can be used to manage network data, website data, as well as data reports or archives. The research method employed is the Waterfall method, which consists of several stages: analysis, design, implementation, testing, and maintenance. Data collection methods included interviews and observations. The result of this research is a website that enhances the performance of the admins of the Business Partner Department and IT Services at PT. Pupuk Sriwidjaja Palembang in managing company data.

The primary nursing model of remote monitoring in patients with implantable cardiac devices (CIED)

Abstract Introduction The treatment of cardiac pathologies with devices has led to an exponential increase in patients with CIED, who need more frequent, more careful check-ups, with a consequent increase in the number and clinical complexity of patients who refer to cardiac stimulation centers. Aim The use of remote monitoring makes it possible to have a continuous flow of information relating not only to the performance of the device but also to clinical events such as arrhythmias and heart failure without the need for direct contact, drastically reducing hospital accesses and at the same time promptly detecting any critical issues that require intervention in a more or less short time. The benefits of remote monitoring, as we have seen over the years, intervene at multiple levels, economic, social and clinical. Materials and methods Numerous studies have shown how remote monitoring can replace outpatient check-ups without compromising patient safety, reducing resource consumption, while scheduling at least one outpatient follow-up per year as recommended by international guidelines. With the introduction of telecardiology and remote monitoring in clinical practice, new organizational models have been implemented, which harmonize and codify the activity of the various professionals involved in the diagnostic and therapeutic process. This model must guarantee a precise definition of roles and responsibilities, traceability of actions, continuity of care, low consumption of resources, patient satisfaction and acceptance, integration with traditional hospital and out-of-hospital diagnosis and treatment pathways. A model that encompasses all these peculiar features is the PRIMARY NURSE MODEL. Primary nursing is a relationship based and resource driven system of care delivery, the building blocks are: attribution and acceptance by each individual of personal responsibility in making decisions; assignment of day to day care according to the case method; direct person to person communication; a person operationally responsible for the quality of care provided to patients. The decentralised decision making approach is based on three basic concepts: the nurse's decision making authority, responsibility and accountability. Results and conclusions The real CORE of this model is represented by the responsibility for the decisions made by a single nurse. Then each patient is assigned to a nurse responsible for continuity of care, whose duties include patient and caregiver education and training, website data entry, review of critical case transmissions and assessments, and submission of critical cases to the physician.

The analysis of firm web data for predicting company innovativeness: a comparison across different types of innovation

ABSTRACT This paper investigates which of the core types of innovation can be best predicted based on ’firms’ website data. In particular, we focus on four distinct key standard types of innovations in firms: product, process, organisational, and marketing innovation. Web mining of textual data on the websites of firms from Estonia, combined with the application of artificial intelligence (AI) methods, turned out to be a suitable approach to predict firm-level innovation indicators. The key novel addition to the existing literature is the finding that web mining is more applicable to predicting marketing innovation than the other three core types of innovation. As AI-based models are often black-box in nature, for transparency, we use an explainable AI approach (SHAP - SHapley Additive exPlanations), where we look at the most important words predicting a particular type of innovation. Our models confirm that the marketing innovation indicator from survey data was clearly related to marketing-related terms on the ’firms’ websites. In contrast, the results on the relevant words on websites for other innovation indicators were much less clear. Our analysis concludes that the effectiveness of web-scraping and web-text-based AI approaches in predicting cost-effective, granular and timely firm-level innovation indicators varies according to the type of innovation considered.

Effects of Budget Expenditures on Education and Youth Policy on Decreasing the Level of Delinquent Behavior of Adolescents

One of the national development goals relates to realizing human potential and educating a socially responsible person, which, among other things, requires strengthening the state's role in preventing crimes, primarily among adolescents. In this regard, there is a need to quantify the impact of social spending budgets on the level of juvenile delinquency. The article substantiates a methodological approach to assessing the effects of expenditures on secondary vocational education and youth policy on the number of minors convicted of various crimes. In the study, the authors evaluated regression based on a fixed-effects model with the standard errors Driscoll – Kraay. Econometric modelling was based on panel data on 83 subjects of the Russian Federation for the period 2010–2020. The statistical data of the official websites of the Federal State Statistics Service, the Federal Treasury and the Prosecutor General's Office of the Russian Federation served as the information base of the study. Based on the simulation results, conclusions were drawn about the positive impact of increasing budget expenditures on secondary vocational education and youth policy, as a share of GRP, on reducing juvenile delinquency. The influence of control variables (income level, divorce rate, urbanization, general crime, etc.) was also confirmed. For the first time, the results obtained on Russian data significantly complement the conclusions of foreign econometric studies on similar issues

Impact of factory certifications on firm resources: a quantitative content analysis of the Bangladeshi readymade garments (RMG) industry

Purpose This study aims to investigate the association between certifications in the Bangladeshi readymade garment (RMG) sector and diverse firm resources, contributing to Bangladesh’s competitive advantage. Design/methodology/approach The study conducted a quantitative content analysis of 366 Bangladeshi RMG firm websites, using Barney’s (1991) resource-based theory (RBT) framework. Pearson correlation and linear regression analyses were used to explore the research questions. Findings The findings reveal significant positive impacts of certifications on all firm resource categories (physical, human, organizational knowledge and learning, general organizational and financial) under the RBT framework. Certifications correlate positively with resources, from small to medium, and with various factors, though some negative correlations were identified. Research limitations/implications The study improves comprehension of apparel manufacturers’ certifications and their association with firm resources, offering valuable insights for stakeholders on long-term competitive advantages. Yet, limitations should be considered, including size-dependent variations and reliance on self-reported website data. Originality/value This study represents a pioneering effort, concentrating on Bangladesh’s RMG sector and offering a unique perspective on the implications of certifications for firm resources within emerging economies.

Effects of Stock Trading Volume, Leverage, and Dividend Payout Ratio on Stock Price Volatility

This study aims to analyze the impact of stock trading volume, leverage, and dividend payout ratio (DPR) on stock price volatility among companies included in the Kompas100 Index and listed on the Indonesia Stock Exchange (IDX) from 2018 to 2022. The data used in this research were obtained from the financial statements available on the official IDX website and additional data from Yahoo Finance. A purposive sampling method was used to select the research sample based on specific criteria. The results of the study indicate that stock trading volume and leverage have a significant positive impact on stock price volatility, while DPR also influences volatility by showing changes that can elicit sharp market reactions. These findings provide important insights for investors and company management regarding factors that can increase risk and uncertainty in stock prices in the market.

Queensland Trauma Education (QTE): an innovative simulation program that addresses the needs and barriers of interprofessional trauma care education across a complex landscape.

Effective trauma care requires the rapid management of injuries. Rural and remote areas face inequity in trauma care due to time, distance and resource constraints, and experience higher morbidity and mortality rates than urban settings. A training needs analysis (TNA) conducted with stakeholders across Queensland, Australia, revealed a lack of contextual, accessible and interprofessional trauma education for clinicians. The Clinical Skills Development Service and Jamieson Trauma Institute developed the Queensland Trauma Education (QTE) program to address these concerns. QTE comprises a face-to-face training course and open access to online training resources created and reviewed by trauma experts. QTE also supports local training through a statewide simulation network and free access to simulation training equipment. The aim of this article is to review the QTE program and assess the benefits to clinicians in both the delivery of education and the provision of trauma care. To evaluate the QTE program, a desktop review was conducted. This included analyses of website data, course and website content, and facilitator, stakeholder, participant and user feedback. The data were evaluated using the RE-AIM (Reach, Effectiveness, Adoption, Implementation, and Maintenance) framework, and the program's alignment with the original TNA outcomes was assessed. The results showed that QTE aligns with the identified training needs. Specifically, QTE provides trauma education that is relevant, sustainable, employs best practice, is locally delivered, provides continuous support, is multidisciplinary, multi-platformed, physically accessible and accredited by the Australasian College for Emergency Medicine. The review also highlights how QTE has effectively been reaching its target population, improves knowledge and skills, has become widely adopted, and been implemented and maintained with relative success. The innovative QTE program addresses the previous deficits in trauma education and meets the needs identified in the TNA. The review also reveals further opportunities for continuous improvement and program sustainability.

The EWM-Based Evaluation of Healthy City Construction Levels in East China under the Concept of “Making Improvements Is More Important Than Reaching Standards”

In order to effectively identify the shortcomings and potential health risks in the construction of healthy cities and achieve sustainable development, relevant improvement strategies have been formulated. According to the National Healthy City Evaluation Index System, with the concept of “Making improvements is more important than reaching standards”, the healthy city construction levels of the first batch of 13 cities in East China were evaluated by combining entropy weight and linear coefficient weighting from the five dimensions of environment, population, society, service, and culture, based on the data of statistical yearbooks, bulletins, and government websites. The results show that Suzhou, Jiading, Wuxi, Hangzhou, Ningbo, Tongxiang, and Zhenjiang are in the first-grade group, Xiamen, Yantai, Jinan, and Weihai are in the second-grade group, and Yichun and Ma’anshan are in the third-grade group. There is also more significant heterogeneity in the healthy environment indicator among the 13 cities; at the same time, there are specific differences in the healthy culture indicator, and there are slight differences in the indicators of healthy population, society, and service. The study reveals the gaps and problems in the construction of healthy cities. It proposes constructive ideas for promoting follow-up improvement of “making up for shortcomings and strengthening the weaknesses”.

Calculation of Overall Hospital Quality Star Ratings With and Without Inclusion of the Peer Grouping Step.

The Centers for Medicare & Medicaid Services (CMS) Overall Star Rating is widely used by patients and consumers, and there is continued stakeholder curiosity surrounding the inclusion of a peer grouping step, implemented to the 2021 Overall Star Rating methods. To calculate hospital star rating scores with and without the peer grouping step, with the former approach stratifying hospitals into 3-, 4-, and 5-measure group peer groups based on the number of measure groups with at least 3 reported measures. This cross-sectional study used Care Compare website data from January 2023 for 3076 hospitals that received a star rating in 2023. Data were analyzed from April 2023 to December 2023. Peer grouping vs no peer grouping. The primary outcome was the distribution of star ratings, with 1 star being the lowest-performing hospitals and 5 stars, the highest. Analyses additionally identified the number of hospitals with a higher, lower, or identical star rating with the use of the peer grouping step compared with its nonuse, stratified by certain hospital characteristics. Among 3076 hospitals that received a star rating in 2023, most were nonspecialty (1994 hospitals [64.8%]), nonteaching (1807 hospitals [58.7%]), non-safety net (2326 hospitals [75.6%]), non-critical access (2826 hospitals [91.9%]) hospitals with fewer than 200 beds (1822 hospitals [59.2%]) and located in an urban geographic designations (1935 hospitals [62.9%]). The presence of the peer grouping step resulted in 585 hospitals (19.0%) being assigned a different star rating than if the peer grouping step was absent, including considerably more hospitals receiving a higher star rating (517 hospitals) rather than a lower (68 hospitals) star rating. Hospital characteristics associated with a higher star rating included urbanicity (351 hospitals [67.9%]), non-safety net status (414 hospitals [80.1%]), and fewer than 200 beds (287 hospitals [55.6%]). Collectively, the presence of the peer grouping step supports a like-to-like comparison among hospitals and supports the ability of patients to assess overall hospital quality. In this cross-sectional study, inclusion of the peer grouping in the CMS star rating method resulted in modest changes in hospital star ratings compared with application of the method without peer grouping. Given improvement in face validity and the close association between the current peer grouping approach and stakeholder needs for peer-comparison, the current CMS Overall Star Rating method allows for durable comparisons in hospital performance.

Online dissemination of Cochrane reviews on digital health technologies: a cross-sectional study

BackgroundThis cross-sectional study investigated the online dissemination of Cochrane reviews on digital health technologies.MethodsWe searched the Cochrane Database of Systematic Reviews from inception up to May 2023. Cochrane reviews with any population (P), intervention or concept supported by any digital technology (I), any or no comparison (C), and any health outcome (O) were included. Data on review characteristics (bibliographic information, PICO, and evidence quality) and dissemination strategies were extracted and processed. Dissemination was assessed using review information on the Cochrane website and Altmetric data that trace the mentions of academic publications in nonacademic online channels. Data were analysed using descriptive statistics and binary logistic regression analysis.ResultsOut of 170 records identified in the search, 100 Cochrane reviews, published between 2005 and 2023, were included. The reviews focused on consumers (e.g. patients, n = 86), people of any age (n = 44), and clinical populations (n = 68). All reviews addressed interventions or concepts supported by digital technologies with any devices (n = 73), mobile devices (n = 17), or computers (n = 10). The outcomes focused on disease treatment (n = 56), health promotion and disease prevention (n = 27), or management of care delivery (n = 17). All reviews included 1–132 studies, and half included 1–10 studies. Meta-analysis was performed in 69 reviews, and certainty of evidence was rated as high or moderate for at least one outcome in 46 reviews.In agreement with the Cochrane guidelines, all reviews had a plain language summary (PLS) that was available in 3–14 languages. The reviews were disseminated (i.e. mentioned online) predominantly via X/Twitter (n = 99) and Facebook (n = 69). Overall, 51 reviews were mentioned in up to 25% and 49 reviews in 5% of all research outputs traced by Altmetric data. Dissemination (i.e. higher Altmetric scores) was associated with bibliographic review characteristics (i.e. earlier publication year and PLS available in more languages), but not with evidence quality (i.e. certainty of evidence rating, number of studies, or meta-analysis performed in review).ConclusionsOnline attention towards Cochrane reviews on digital health technologies is high. Dissemination is higher for older reviews and reviews with more PLS translations. Measures are required to improve dissemination of Cochrane reviews based on evidence quality.Systematic review registrationThe study was prospectively registered at the Open Science Framework (https://osf.io/mpw8u/).

Hybrid optimization enabled squeeze net for phishing attack detection

Nowadays, phishing attacks are considered as one of the most common cyber-attacks which generally harm the security of various internet and communication systems. The phishing websites are produced with the intention of determining the user's financial information by creating cyber threats. The loss of valuable user assets occurs due to the frequent creation and circulation of fake websites all over the internet. The negative impacts of phishing websites include financial loss, loss of intellectual property, reputational harm, and interruption of daily operations. To identify and lessen these attempts, several anti-phishing strategies have been put forth during the past ten years. However, they are still inaccurate and inefficient. To overcome this problem, intelligent approaches, like Deep Learning (DL) is used, which can accurately learn the inherent characteristics of the websites and identify phishing websites. In this paper, the phishing websites are determined effectively using the Fractional Dingo Hunter Prey Optimization-SqueezeNet (FDHPO-SqueezeNet) technique. The different features, like web features, ocular features, and Natural Language Processing (NLP) features are extracted separately from the website data. Later, the optimal features are selected, fused, and augmented, and allowed for the detection of phishing websites using SqueezeNet. Finally, the phishing detection is performed using SqueezeNet, where the detection performance of the SqueezeNet is increased by training using the FDHPO technique. The investigation results revealed that the designed FDHPO-SqueezeNet technique recorded greater performance when compared with other prevailing phishing detection approaches with a maximal of 93.05 % accuracy, 94.26 % sensitivity, and 93.75 % specificity, respectively.