78 results for “Leverage”

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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 PDF Cite

Research ArticleOpen accessIn the abstractArtificial Intelligence in Quality Control: Transforming Manufacturing ProcessesGopinath KathiresanThe integration of Artificial Intelligence (AI) into Quality Control (QC) is transforming manufacturing by enhancing accuracy, efficiency, and productivity. Traditional QC methods, reliant on manual inspection and basic automation, often fall short in addressing the complexities of modern production environments. This paper presents a review on the application of AI, particularly machine learning, deep learning, and reinforcement learning, in manufacturing … …Journal of Computer Science, Vol. 22, Issue 1 · 12 Feb 2026 · 6,492 accessesView PDF Cite

Research ArticleOpen accessIn the abstractFedCarepod: Federated Quantum Transfer Learning Approach in Screening Process for Early Detection of Liver AbnormalitiesK MalaThe liver is the most frequently injured intra-abdominal organ that leads to complications. Visual interpretation depends on the expertise, and this justifies the need for automatic accelerated assistive prediction system. Classical and Quantum machine learning approaches are combined to leverage their benefits, and the feasibility of designing a novel system is explored. This approach successfully ends up with health care … …Journal of Computer Science, Vol. 21, Issue 10 · 16 Dec 2025 · 2,068 accessesView PDF Cite

Research ArticleOpen accessIn the abstractAdaptive Cybersecurity: Dynamically Retrainable Firewalls for Real-Time Network ProtectionSina AhmadiThe growing complexity of cyberattacks has necessitated the evolution of firewall technologies from static models to adaptive, machine learning-driven systems. This research introduces “Dynamically Retrainable Firewalls”, which respond to emerging threats in real-time. Unlike traditional firewalls that rely on static rules to inspect traffic, these advanced systems leverage machine learning algorithms to analyze network traffic patterns dynamically and identify threats. … …Journal of Computer Science, Vol. 21, Issue 9 · 7 Nov 2025 · 2,558 accessesView PDF Cite

Review ArticleOpen accessIn the abstractUnraveling the Mechanisms of Plant Structural Defenses against Insect PestsAroni Preya Biswas, Roksana Al Nafiu Insha, Md. Khairul Mazed et al.Plants employ a variety of physical, chemical, and genetic strategies to defend against herbivore attacks. These biochemical defense mechanisms are complex and dynamic, encompassing both direct and indirect responses. Defense-related chemicals, whether constitutive or induced by herbivore damage, significantly influence herbivore feeding behavior, growth, and survival. Plant defense systems impact herbivore nutrition, development, and survival, highlighting the importance of chemical … …OnLine Journal of Biological Sciences, Vol. 25, Issue 1 · 7 Jan 2025 · 5,793 accessesView PDF Cite

Research ArticleOpen accessIn the abstractEnhancing Disaster Resilience through Spatial Planning Strategies, a Case Study of Bono Region, GhanaAmponsah Maxwell, Nandi Nandi, Maryani EnokThe adverse impact of climate change has necessitated the global community to leverage spatial planning to curb the negative impacts of such incidents. Disasters continue to occur in human settlements, which makes it necessary to develop resilience through spatial planning strategies. The research question underpinning this study is, how can disaster resilience be improved through spatial planning strategies? Reducing the … …Journal of Social Sciences, Vol. 20, Issue 1 · 30 Dec 2024 · 5,008 accessesView PDF Cite

Research ArticleOpen accessIn the abstractFactors Affecting the Selection of B2C E-Commerce Website in Vietnam: A Fuzzy AHP AnalysisQuang Hung Do, Duong Quang Khanh, Nguyen Thai SonThe burgeoning B2C e-commerce landscape in Vietnam necessitates a deeper understanding of customer selection criteria to ensure sustained satisfaction and trust. This study addresses this gap by employing a Fuzzy Analytic Hierarchy Process (FAHP) to evaluate B2C e-commerce platforms in Vietnam. The FAHP facilitates the identification of critical factors and sub-factors influencing online customer satisfaction and website selection. We leverage … …Journal of Computer Science, Vol. 21, Issue 1 · 24 Dec 2024 · 5,232 accessesView PDF Cite

Review ArticleOpen accessIn the abstractFederated Learning for Analysis of Medical Images: A SurveyMuhammad Imran Sharif, Mehwish Mehmood, Md Palash Uddin et al.Machine learning models trained in medical imaging can help in the early detection, diagnosis, and prognosis of the disease. However, it confronts two major obstacles: deep learning models require access to a substantial amount of imaging data, which is a hard constraint, and the patient data is private and sensitive, so it cannot be shared like 1 other imaging data … …Journal of Computer Science, Vol. 20, Issue 12 · 28 Oct 2024 · 11,824 accessesView PDF Cite

Literature ReviewOpen accessIn the abstractThe Role of Customer Relationship Management in the Airline IndustryDevasya AgarwalIn the status quo, airlines are unable to maximize profits, partly because of the lack of transformation in customer management over the decades. In this study, we inherently showcase a part of the reason that airlines are not heavily profitable and how it can be averted. This study employs a critical review method of literature and economic theory analysis to … …American Journal of Economics and Business Administration, Vol. 16, Issue 1 · 14 Oct 2024 · 10,727 accessesView PDF Cite

Research ArticleOpen accessIn the abstractA Multi-Split Cross-Strategy for Enhancing Machine Learning Algorithms Prediction Results with Data Generated by Conditional Generative Adversarial NetworkAbdelfattah Abassi, Brahim Bakkas et al.In this study, we present a Multi-Split Cross-Strategy (MSC-Strategy) designed to leverage synthetic tabular data generated by a Conditional Generative Adversarial Network (CGAN). Our study aims to investigate the potential of synthetic data in comparison to real-world data for improving machine learning predictive results. Firstly, we develop a CGAN architecture tailored to generate synthetic tabular data, trained on a comprehensive … …Journal of Computer Science, Vol. 20, Issue 7 · 9 Apr 2024 · 6,695 accessesView PDF Cite