Sign inSubmit
Tips: “quotes” for a phrase · author:Lee · a DOI goes straight to its article

243 results for “Integrated Model”
Set a search alert
Research ArticleOpen accessIn the abstractReconstruction Investigation Model for Database Management SystemsAbdulaziz Saleh AlraddadiThere have been increased levels of cybercrime in the database industry, which has hurt the confidentiality, integrity, and availability of these systems. Most organizations apply several security layers to detect and prevent database crimes. For this reason, Database Forensics (DBF) plays a very important role in capturing and discovering, who the criminal is, when the crime was committed, and which … …Journal of Computer Science, Vol. 20, Issue 1 · 28 Nov 2023 · 5,610 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeep Regularization Mechanism for Combating Class Imbalance Problem in Intrusion Detection System for Defending DDoS Attack in SDNNarender M, Yuvaraju B NIntegration of deep learning into Intrusion Detection Systems (IDS) for Software Defined Networking (SDN) is an emerging field of research. Most of the datasets used to build IDS are highly imbalanced, especially in the case of DDoS attacks, which account for a larger percentage of malicious samples than normal traffic. As a result of a class imbalance, the classification result … …Journal of Computer Science, Vol. 19, Issue 3 · 24 Feb 2023 · 5,668 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Model of Cyber Extremists' Rhetorical Structure Towards Protecting Critical InfrastructureOsman Khairunnisa, Jano Zanariah, Ahmad RabiahMuch research at present focuses on the ways in which organizations secure their networks and information in the supply chain, ignoring the ways in which organizations construct and understand the core of the cybersecurity risks. Cybersecurity focuses more on defense mechanisms such as anti-virus software, malware protection, firewall and more on securing network and application. More research to understand extremist … …Journal of Computer Science, Vol. 20, Issue 6 · 14 Mar 2024 · 5,192 accessesView PDFCite
Research ArticleOpen accessIn the abstractQuantization and Pipelined Hardware Implementation of Deep Neural Network ModelsEl Hadrami Cheikh Tourad, Mohsine EleuldjInrecent years, Deep Neural Networks (DNNs) have garnered much interest due toadvances in computational power and data availability. Indeed, DNNs presents a considerable advantage in several challenges, suchas classification problems and video analysis. Although, such accomplishmentleads to significantly increasing energy demands, computational expenses, andmemory capacity. In addition, current efficient DNNs may have more complex andextensive structures. As a result, implementing … …Journal of Computer Science, Vol. 18, Issue 11 · 26 Oct 2022 · 5,707 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Ensemble of Gaussian Mixture Model and Support Vector Machines for Network Intrusion DetectionOlujimi Daniel Alao, Sheriff Alimi, Shade Oluwakemi Kuyoro et al.NetworkIntrusion Detection Systems (NIDS) can protect computer networks and computersystems by detecting abnormal network packets and taking agreed action plans,such as notifying an administrator or rejecting the network packets. In this study,the aim is the implementation of NIDS with improved performance using anensemble of Support Vector Machines (SVMs) and the Gaussian Mixture Model(GMM). Four SVMs with Radial Basis Function (RBF), … …Journal of Computer Science, Vol. 18, Issue 9 · 21 Sep 2022 · 6,123 accessesView PDFCite
Research ArticleOpen accessIn the abstractStudy of Concentrated Solar Power Collectors with Organic Rankine Cycle and Magnetized NanofluidsSamuel Sami HowardThe performance of “magnetized nanofluids in a Parabolic Trough Concentrating Solar Collector (CSP)-integrated Organic Rankine Cycle (ORC) and a Thermal Energy Storage (TES) systems are studied. The characteristics of magnetized nanofluids AI2O3, CuO, Fe3O4 and SiO2 as heat transport fluid circulating in integrated Concentrating Solar Power (CSP) with ORC and TES under different solar radiations, angles of incidence and different … …American Journal of Engineering and Applied Sciences, Vol. 15, Issue 1 · 5 Mar 2022 · 6,657 accessesView PDFCite
Research ArticleOpen accessIn the abstractMulti-FOM: A Unified Multimodal Deep Learning Framework for Intelligent Pre-Harvest Papaya Classification and Crop ValorisationSovers Singh Bisht, Sanjeev Thakur, Sanjeev PanwarIntelligent pre-harvest crop assessment has become an essential component of precision agriculture, where accurate crop quality evaluation enables informed decision-making and sustainable crop management. However, existing multimodal frameworks often exhibit limited data diversity and insufficient cross-modal semantic interaction, reducing the reliability of intelligent crop valorisation. Address these limitations, this paper proposes a Multimodal Focal-Mamba Optimized Valorisation Model (Multi-FOM), a unified … …Journal of Computer Science, Vol. 22, Issue 9 · 24 Sep 2026 · 678 accessesView PDFCite
Research ArticleOpen accessIn the abstractForecasting Corporate Financial Distress Using Explainable Machine Learning: Implications for Risk Management TechnologyKanjana Hinthaw, Warawut NarkbunnumFinancial distress prediction is a critical task in financial risk management, yet it remains challenging due to class imbalance, complex financial structures, and limited model interpretability. This study develops an integrated machine learning framework that combines feature selection, class imbalance handling, threshold optimization, and Explainable Artificial Intelligence (XAI) to improve both predictive performance and decision-making reliability. Using a dataset of … …Journal of Computer Science, Vol. 22, Issue 7 · 22 Jul 2026 · 1,135 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntelligent Multi Model Ensemble for Engagement PredictionFahmida Begum, K Ulaga PriyaFor intelligent educational systems, the ability to monitor and respond to student engagement in real time is essential for enhancing learning outcomes. However, existing models often lack adaptability and practical deployment potential, as they depend on single data modalities, rigid ensemble mechanisms, and post-session analysis. This study introduces an intelligent multimodal ensemble framework designed to address these challenges by predicting … …Journal of Computer Science, Vol. 22, Issue 4 · 28 Apr 2026 · 1,853 accessesView PDFCite
Research ArticleOpen accessIn the abstractPredictive Mathematical Modeling and Classification of Retail Sales Orders Using AI Machine Learning TechniquesMohammad Subhi Al-Batah, Mowafaq Salem Alzboon, Hamzeh ZureigatThis study presents a systematic mathematical model known as a low-code approach to classifying retail sales orders by size using AI machine learning techniques within the Orange Data Mining platform. Leveraging a real-world sales dataset sourced from Kaggle, we implemented and evaluated ten classification models, including ensemble learners (AdaBoost, Gradient Boosting), probabilistic classifiers (Naïve Bayes), distance-based methods (kNN), and interpretable … …Journal of Computer Science, Vol. 22, Issue 3 · 10 Mar 2026 · 1,573 accessesView PDFCite