468 articles for “F.S. Mohammad”

Research ArticleOpen accessIn the author namesA Misuse and Anomaly Intrusion Detection System Using Hybrid Supervised and Unsupervised Data Mining ApproachesHoma Molavi, Mohammad KhanbabaeiIntrusion Detection Systems (IDSs) play a crucial role in monitoring computer network security. Data mining and machine learning techniques facilitate the identification of intrusion patterns within large volumes of data. Hybrid data mining models have become increasingly popular in IDSs due to their enhanced effectiveness. This study presents a novel hybrid IDS that combines misuse and anomaly detection by integrating … …Journal of Computer Science, Vol. 22, Issue 6 · 6 Jul 2026 · 1,011 accessesView PDF Cite

Research ArticleOpen accessIn the author namesHybrid Soft Voting Ensemble of XGBoost and DNN for At-Risk Student Performance PredictionEugene Wan, Po Chan Chiu, Mohammad bin Hossin et al.Early identification of at-risk students in higher education is important for timely academic intervention, yet conventional prediction methods often struggle with data imbalance and limited model precision. This study proposes a hybrid soft voting ensemble model that integrates Extreme Gradient Boosting (XGBoost) and Deep Neural Network (DNN) to enhance multi-class student grade prediction (A-F classification) and at-risk student identification. This … …Journal of Computer Science, Vol. 22, Issue 5 · 28 May 2026 · 1,404 accessesView PDF Cite

Research ArticleOpen accessIn the author namesEnsemble Learning-Based Hybrid Explainable Intrusion Detection System With SMOTE for Enhanced Detection and Interpretability in CybersecurityMohammad Subhi Al-Batah, Taqieddin AldrousWith cyberattacks becoming increasingly sophisticated, there is a growing need for Intrusion Detection Systems (IDS) that are both accurate and interpretable. This study introduces a hybrid IDS framework that integrates Random Forest (RF) and Light Gradient Boosting Machine (LGBM) classifiers with the Synthetic Minority Over-sampling Technique (SMOTE) to address class imbalance. To enhance transparency and trust, the system also incorporates … …Journal of Computer Science, Vol. 22, Issue 5 · 19 May 2026 · 1,284 accessesView PDF Cite

Research ArticleOpen accessIn the author namesImplementation and Performance Evaluation of YOLOv8 for Wheat Fungal Disease DetectionShivani Sood, Shallu Duggal, Monika Sethi et al.Among the many difficulties in producing wheat, a vital food source for the world, there are biotic variables like fungal diseases, which drastically lower crop output. Around the world, biotrophic fungi particularly, leaf rust, powdery mildew, and yellow rusts-have become a constant threat to wheat production. Traditional methods of identification and mitigation are labor-intensive, slow, and imprecise, limiting therefore early … …Journal of Computer Science, Vol. 22, Issue 4 · 2 May 2026 · 1,609 accessesView PDF Cite

Review ArticleOpen accessIn the author namesDietary Flavonols With Antiviral Efficacy: Safety and Regulatory ConcernsTanisha Parvez, Tanveer Yaqub, Shama Parveen, Mohammad Khalid ParvezGlobally, a variety of pharmacologically-active plant or natural products are commonly consumed as health-protective dietary supplements. These are marketed as crude formulations, isolated metabolites, multi-vitamins, essential amino acids, unsaturated fatty acids and minerals. Of these, pharmacologically-active flavonols like rutin, quercetin, kaempferol, myricetin, isorhamnetin are the most consumed dietary supplements. In addition to their broad-spectrum therapeutic benefits, these are also known … …American Journal of Pharmacology and Toxicology, Vol. 20, Issue 1 · 19 Apr 2026 · 1,876 accessesView PDF Cite

Research ArticleOpen accessIn the author namesOptimized Vehicle Insurance Claim and Settlement Procedures Using IOT Sensors on a Blockchain-Based PlatformPreeti Sharma, Meenakshi Malik, Chander Prabha et al.The conventional vehicle insurance claim and settlement landscape is characterised by significant inefficiencies, including cumbersome claim submissions, arbitrary damage assessments, and susceptibility to fraudulent activities. These problems lead to a longer processing time, higher operational cost to the insurers and a reduction in policyholder satisfaction. To address these important challenges, this study proposes a streamlined vehicle insurance claims system that … …Journal of Computer Science, Vol. 22, Issue 3 · 26 Mar 2026 · 1,640 accessesView PDF Cite

Research ArticleOpen accessIn the author namesOntology Based Knowledge Management System Design for Organic FarmingMuqeem Ahmed, Afrah Fathima, Mohammad Islam et al.In the current agricultural system, information is often gathered manually, and farmers make decisions based on their judgment. Occasionally, they seek advice from experts and extension officers. Numerous information systems have recently emerged, offering insights into organic farming practices. However, this information is dispersed across various contexts, formats, and media on the Internet, making it challenging to access. Utilizing ontology … …Journal of Computer Science, Vol. 22, Issue 3 · 25 Mar 2026 · 1,443 accessesView PDF Cite

Research ArticleOpen accessIn the author namesPredictive 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 PDF Cite

Research ArticleOpen accessIn the author namesImpact of Euphorbia helioscopia Extract Administration on Diabetes Induced by Alloxan in MiceDoha Mohammad Beltagy, Amira Mohammed Beltagy, Mohammad Ramadan et al.Diabetes describes metabolic disorder with hyperglycemia and neurotic changes. This work aimed to evaluate the protective effect of total ethanolic extract of Euphorbia helioscopia grown in Egypt against pancreas and brain injuries in diabetic mice induced by alloxan. This work was carried out on 60 mice divided into four groups. Control Group (G1) included healthy normal mice that did not … …OnLine Journal of Biological Sciences, Vol. 20, Issue 3 · 19 Oct 2020 · 6,412 accessesView PDF Cite

Research ArticleOpen accessIn the author namesThe Impact of eHRM Practice on Organizational Performance: Investigating the Effect of Job Satisfaction of HRM ProfessionalsAbdul Kadar Muhammad Masum, Abdullah Mohammad Ahsanul Mamun, Mohammad Shariful Islam, Loo-See BehIn this study, an integrated eVALUE model is introduced to examine the relationship between organizational performance and electronic Human Resource Management (eHRM) practice. The model also explored the drivers of electronic Human Resource Management (eHRM) practice in the organizations. The primary data collected by using a pilot survey and closed-ended questionnaire designed on Likert 7-point scale. Simple random sampling was … …Journal of Computer Science, Vol. 16, Issue 7 · 5 Oct 2020 · 7,485 accessesView PDF Cite