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292 results for “model presents”
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Research ArticleOpen accessIn the abstractLiDAR-Based Obstacle Detection and Avoidance for Navigation and Control of an Unmanned Ground Robot Using Model Predictive ControlSai Charan Dekkata, Sun Yi, M. A. Muktadir, Selorm GarfoUnmanned Ground Vehicles (UGVs) have, as of late, been utilized in a wide assortment of utilizations because of their flexibility, diminished expense, and quick response, among other benefits. Search and Rescue (SAR) is quite possibly the most conspicuous zones for the work of UGVs instead of a monitored mission, mainly due to its impediments on the expenses, human resources, and … …Journal of Mechatronics and Robotics, Vol. 7, Issue 1 · 30 Mar 2023 · 8,213 accessesView PDFCite
Research ArticleOpen accessIn the abstractBlockchain Based Solution for Secure and Efficient Agricultural Supply Chain SystemsYassir Farooqui, Syed Ibad Ali, Kush Bhushanwar et al.The agricultural supply chain forms the backbone for feeding the world and supporting economies, but there is always a challenge to it such as traceability, inefficiencies, fraud risk, and poor transparency. Trust is hampered as many traditional systems still depend on manual procedures and distributed data records. So as to overcome the issues and improve the security, overall effectiveness, and … …Journal of Computer Science, Vol. 22, Issue 10 · 28 Sep 2026 · 613 accessesView PDFCite
Research ArticleOpen accessIn the abstractMERAKI: An Online Collaborative Learning Platform Developed Using the UWE MethodologyPercy De-la-Cruz-VdV, Yesenia Torres-Donayre, Hugo Vega-Huerta et al.In the digital era, education has evolved with the integration of technologies that optimize the teaching-learning process. This article presents the need for more efficient online collaborative environments that overcome the limitations of traditional platforms, fostering meaningful interaction between students and teachers. To address this need, the collaborative platform “MERAKI” was developed using the UML-Based Web Engineering (UWE) methodology. This … …Journal of Computer Science, Vol. 21, Issue 12 · 10 Jan 2026 · 2,142 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhanced Lifetime Maximization Using Metaheuristics-Based Unequal Clustering With Routing Protocol on Wireless Sensor NetworksN. E. Kanaghadhara, R. SubanThe Wireless Sensor Network (WSN) consists of spatially distributed autonomous sensors that monitor environmental or physical factors such as sound, pressure, or temperature, and pass the information directly through the network to a sink or central location. Clustering and routing are essential in WSNs to optimize their longevity, scalability, and efficiency. Clustering includes grouping Sensor Nodes (SN) into clusters, each … …Journal of Computer Science, Vol. 22, Issue 7 · 21 Jul 2026 · 682 accessesView PDFCite
Research ArticleOpen accessIn the abstractA 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 · 999 accessesView PDFCite
Research ArticleOpen accessIn the abstractHybrid BiGRU-BiLSTM Model for Real-Time ECG Arrhythmia Detection Using Wearable SensorsPrem Narayan Singh, Rajendra Prasad MahapatraAccurate and real-time detection of cardiac arrhythmias is essential for timely medical intervention. Advances in wearable devices and deep learning have made it feasible to continuously monitor electrocardiogram (ECG) signals, facilitating early identification of abnormal heart rhythms. For arrhythmia detection, this study presents a hybrid deep learning architecture combining Bidirectional Gated Recurrent Units (Bi-GRU) and Bidirectional Long Short-Term Memory (Bi-LSTM). … …Journal of Computer Science, Vol. 22, Issue 5 · 5 Jun 2026 · 1,331 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 · 1,567 accessesView PDFCite
Research ArticleOpen accessIn the abstractAugmented Scope-Based E-Commerce Business Model for Emerging MarketsRazib Hayat Khan, Ankan Shahriar Islam et al.E-commerce is one of the world's fastest-growing software service industries. With the arrival and rise of the 4th industrial revolution and technological advancements such as Artificial Intelligence, machine learning, and subscription economies, e-commerce is primed for significant growth globally, particularly in emerging markets. Emerging markets provide several unique growth factors and catalysts such as smart device adoption, high internet penetration, … …Journal of Computer Science, Vol. 19, Issue 12 · 20 Oct 2023 · 7,415 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 · 5,703 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing E-Banking Security and Personalization through Convolutional Neural Network-Based Facial RecognitionRamy Kamal Amin, Ghada A. El Khayat, Farid El Sahn, Abeer A. AmerFacial recognition technology has become a cornerstone in enhancing the security and user experience of electronic banking services. Its ability to provide a seamless yet secure authentication method is vital in combating fraud and maintaining the integrity of online financial transactions. This study presents the development of an advanced electronic banking system that strengthens security through the integration of a … …Journal of Computer Science, Vol. 21, Issue 10 · 7 Dec 2025 · 3,310 accessesView PDFCite