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Research ArticleOpen accessIn the abstractPredicting Financial Statement Failure of Listed Firms in Market for Alternative Investment (mai) using Machine LearningPattanapong Kumsin, Salakjit Ninlaphay, Anupong SukprasertThe purpose of this research is to investigate the financial ratios of companies listed on the Market for Alternative Investment (mai) in Thailand, as well as the likelihood of these companies' financial statement failure. It also intends to create a financial statement failure predicting model for companies listed on the mai and assess the performance of various forecasting models using … …Journal of Computer Science, Vol. 21, Issue 9 · 24 Nov 2025 · 2,240 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimized Feature Reduction Techniques for Enhanced Network Threat Detection in Wireless Sensor NetworksBikash Kalita, Satyajit SarmahThe security of Wireless Sensor Networks (WSNs) is currently seriously threatened by numerous threats. Consequently, a number of applications are offered to regulate data and information sharing along with the related security features that need to be maintained throughout data transfer. This study suggests an intelligent feature reduction methodology based on machine learning that uses Modified Principal Component Analysis (MPCA) … …Journal of Computer Science, Vol. 21, Issue 8 · 10 Oct 2025 · 2,290 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Analysis of Binary Patterns Pyramid and Gabor Filters for Machine Learning-Based Nail Disease DetectionJagadeeswari Boopalan, Maruthu Perumal SabtharishiNail diseases, including Onychomycosis and Psoriasis, are common conditions that pose diagnostic challenges due to subtle clinical presentations and reliance on invasive methods. This study investigates the effectiveness of Binary Patterns Pyramid Filter (BPPF) and Gabor Filter (GF) as feature extraction techniques for machine learning-based nail disease detection, addressing three categories: Healthy, Onychomycosis, and Psoriasis. Using a dataset of 1,466 … …Journal of Computer Science, Vol. 21, Issue 8 · 2 Oct 2025 · 2,178 accessesView PDFCite
Research ArticleOpen accessIn the abstractXAI_MLPCNN: A Novel Explainable AI-Based Deep Learning Framework for Stress IdentificationFateh Bahadur Kunwar, Rakesh Kumar Yadav, Hitendra Singh, Nitin TripathiOver the past ten years, there has been a lot of emphasis focusedon the development of Artificial Intelligence (AI) and Machine Learning(ML)-based mental health treatments. To increase practitioners' and patients'trust in AI applications, AI systems need to explain their actions. This iscalled Explainable AI (XAI). While significant progress has been achievedin stress prediction models, XAI has not advanced as much. … …Journal of Computer Science, Vol. 21, Issue 5 · 6 May 2025 · 6,161 accessesView PDFCite
Research ArticleOpen accessIn the abstractEstrous Synchronization Protocols in South African Merino EwesNhlakanipho Sam Zulu, Fhulufhelo Vincent Ramukhithi, Khoboso Christine LehloenyaThe South African Merino breed is the most important sheep breed in South Africa due to its superior wool quality. With an increasing wool demand from China and Europe, the need for wool production in South Africa has risen significantly. To meet this high demand, it is crucial to enhance the reproduction rate of the Merino sheep using assisted reproduction … …American Journal of Animal and Veterinary Sciences, Vol. 20, Issue 1 · 29 Jan 2025 · 7,007 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Comparative Study of Mobility Models for Wireless Sensor NetworksAnas Abu TalebWireless sensor networks consist of hundreds or thousands of small, lightweight and low-powered sensor nodes that are deployed in the area of interest to collect information in an unattended manner. Since sensor nodes have limited battery, many research papers proposed techniques to enhance the performance and lifetime of wireless sensor networks. Using energy rich mobile sink to collect data from … …Journal of Computer Science, Vol. 14, Issue 10 · 10 Oct 2018 · 8,063 accessesView PDFCite
Review ArticleOpen accessIn the abstractEmployer Rights and Legal Defenses to OSHA CitationsThomas Oriet, Dr. Leo OrietCongress placed a statutory duty on the employer and employee to be safe in the workplace, but the courts do not reciprocate this duty onto employees. 1With plant managers understandably unaware of their rights,2 and with governmental tactics to obtain consent for administrative ease,3 a company's threat to litigation may derive from its ignorance of the law. This paper aims … …American Journal of Economics and Business Administration, Vol. 10, Issue 1 · 13 Aug 2018 · 16,501 accessesView PDFCite
Research ArticleOpen accessIn the abstractHuman Age Predication from Face Images Based on Combining Deep Wavelet Network and Machine Learning AlgorithmsZahraa Salam Abu Ghrban, Nidhal K. EL AbbadiDue to the numerous variances in face appearance, age estimation using facial images is a difficult subject. Many factors can affect the estimation of human age such as race, face post, gender, lifestyle, etc. By considering more factors, the optimum performance may be obtained. In this study, we proposed a method to predict the age of facial images. The proposed … …Journal of Computer Science, Vol. 19, Issue 5 · 5 May 2023 · 5,568 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe User Experience Analysis of Digital Health Tracking Application in IndonesiaSugiarto Hartono, Henricus Bambang Triantono, Hendri Hartono et al.Indonesia has an application for health tracking called SATUSEHAT. This application is used to search for hospitals, record vaccine data, and all functions related to public health. This application was first used since the COVID-19 pandemic in mid-2020. The problem is that people are starting to be reluctant to use the application. Initially, this application had 105 million users. Currently, … …Journal of Computer Science, Vol. 20, Issue 9 · 9 Jul 2024 · 5,260 accessesView PDFCite
Research ArticleOpen accessIn the abstractApplication of Unimodular Hill Cipher and RSA Methods to Text Encryption Algorithms Using PythonSamsul Arifin, Dwi Wijonarko, Suwarno, Edwin Kristanto SijabatText encryption is one of the techniques used to maintain the confidentiality of information in digital communications. In this study, we propose to apply a combination of the Unimodular Hill Cipher and RSA methods to a text encryption algorithm using the Python programming language. The Unimodular Hill Cipher method uses an unimodular matrix to replace text characters with encrypted characters, … …Journal of Computer Science, Vol. 20, Issue 5 · 1 Mar 2024 · 6,484 accessesView PDFCite