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Research ArticleOpen accessIn the keywordsCognitive and Non-Cognitive Characteristics as Determinants of Success in Professional Courses at Undergraduate StageZebun Nisa KhanProblem statement: Professional education is the principle means of the developing the human resource. Students who do not perform well in professional courses are not in any way better than those who do not have professional knowledge, because their chances of employment and efficient working are bleak. The present study attempted to examine success in different professional courses at undergraduate … …Journal of Social Sciences, Vol. 5, Issue 3 · 30 Sep 2009 · 8,414 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimization of Non-Technical Electricity Loss Detection Using Artificial Neural Networks: Case of Cameroon Distribution NetworkLekini Nkodo Claude Bernard, Bell Serge Samuel, Nyemb Nsoga Valjacques et al.Non-Technical Losses (NTL) represent a critical challenge for power utilities, particularly in developing countries. This paper proposes an unsupervised deep learning approach based on an autoencoder to detect abnormal electricity consumption patterns in the Cameroonian distribution network. The model learns normal customer behavior using historical consumption data and identifies anomalies through reconstruction error analysis. Statistical thresholds are applied to classify … …American Journal of Engineering and Applied Sciences, Vol. 19, Issue 1 · 23 Jul 2026 · 1,225 accessesView PDFCite
Research ArticleOpen accessIn the abstractMoney Laundering Detection in Financial Institutions Using Machine LearningNoor Samer Masood, Rasha Hassan Sakr, Amal Abou EleneenThis research aims to develop a system based on machine learning techniques for the accurate detection and classification of money laundering transactions. This system utilizes real and synthetic financial data, including the IBM AML dataset and synthetic financial databases. The methodology included data collection and cleaning, feature extraction from transaction behavior, and training several classification algorithms, including Random Forest, Support … …Journal of Computer Science, Vol. 22, Issue 4 · 16 Apr 2026 · 2,325 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimized XGBoost for Ethereum Fraud Detection: A Cost-Sensitive ApproachSupriya P., Rubah Sheriff, Shreya Padaki et al.In today’s technologically advancing world, many fields from finance to healthcare and education are shifting toward a digital and decentralized format. A significant transformation is underway with the currency of the masses. Blockchain-based cryptocurrencies like Bitcoin and Ethereum allow users to generate fungible tokens anonymously through smart contracts. However, these features also facilitate illicit transactions and cybercrimes like fraud, phishing, … …Journal of Computer Science, Vol. 21, Issue 12 · 10 Jan 2026 · 2,770 accessesView PDFCite
Review ArticleOpen accessIn the abstractAdaptive Security for Facilities in High-Risk Cities: A Case Study ApproachPuya PakshadEstablishing a facility in a high-crime urban area with complex security challenges necessitates strategic foresight and innovative approaches. This study investigates the range of risks confronting such facilities, including criminal activity, civil unrest, and cyber threats, and presents practical, evidence-based solutions to mitigate them. A central focus is placed on the collaborative engagement of key stakeholders-such as local authorities, community … …Journal of Computer Science, Vol. 21, Issue 6 · 23 May 2025 · 5,834 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Comprehensive Survey on Fake News Detection Using Machine LearningShraddha Shah, Sachin PatelIn the age of information data surplus and social media impact, the propagation of fake news has developed a significant societal concern. This challenge requires robust tools and methodologies for addressing, with machine learning emerging as a promising approach. The paper reviews different machine learning techniques in fake news detection, including supervised, unsupervised and semi-supervised methods. Supervised methods utilize labelled … …Journal of Computer Science, Vol. 21, Issue 4 · 20 Mar 2025 · 9,212 accessesView PDFCite
Research ArticleOpen accessIn the abstractInvestigating Cybercrimes with Digital ForensicsMaha Helal, Mohammed Alamri, Hazzaa AlshareefDigital forensics has gained a high degree of attention recently due to the benefits it has to offer in investigating cybercrimes by analyzing and presenting digital evidence. It aims to highlight any correlations related to such crimes. Since digital forensics techniques are capable of providing robust and credible evidence, they have been used in different contexts and are accepted by … …Journal of Computer Science, Vol. 20, Issue 11 · 18 Sep 2024 · 6,393 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn IoT based House Intruder Detection and Alert System using Histogram of Oriented GradientsNico Surantha, Wingky R. WicaksonoThis research aims to design and implement a home security system with human detection capability. Traditional home security systems, i.e., Closed-Circuit Television (CCTV) can only capture and record videos without the ability of giving warning feedback if there is any suspicious object. Therefore, an additional object detection and warning method is required. The proposed design is implemented using Raspberry Pi … …Journal of Computer Science, Vol. 15, Issue 8 · 8 Aug 2019 · 9,216 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Adaptive Assessment and Prediction Mechanism in Network Security Situation AwarenessYu-Beng Leau, Ali Abdulrazzaq Khudher, Selvakumar Manickam, Samer Al-SalemNetwork intrusion attempts have reached an alarming level. Cisco's 2014 Security Report indicated that 50,000 network intrusions were detected and 80 million suspicious web requests were blocked daily. Hence, Intrusion Prevention System (IPS) had been chosen as a defence mechanism in many organizations. However, the University of South Wales reported that seven big-brand IPS had failed to detect and block … …Journal of Computer Science, Vol. 13, Issue 5 · 22 May 2017 · 8,349 accessesView PDFCite
Research ArticleOpen accessIn the abstractDetecting an Anomaly Behavior through Enhancing the Mechanism of Packet FilteringMohammed Nazeh Abdul Wahid, Azizol AbdullahThe fundamental task of the Network Traffic Analysis is the ability of capturing and monitoring all the network traffics (incoming and outgoing) for local area network LAN and how the network analyzer is able to analyze and detect errors or any type of suspicious activities such as intruders. The idea of this research is to use flexible packet filtering to … …Journal of Computer Science, Vol. 11, Issue 6 · 1 Sep 2015 · 6,950 accessesView PDFCite