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76 articles for “Architecture framework”
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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 · 1,336 accessesView PDFCite
Research ArticleOpen accessIn the abstractHybrid CNN-Based Transformer Pipeline With Radiomic Fusion for Multi-Class Lung Cancer DetectionAanchal Vij, Kuldeep Singh Kaswan, Anand NayyarEarly detection of lung cancer remains challenging due to high intra-class variation and inter-class similarity in Computed Tomography (CT) images. In this paper, we propose a hybrid deep learning model that combines convolutional, attention-based, and transformer-guided representations to address these challenges in multi-class lung cancer classification. For deep feature extraction, we use the EfficientNetV2-S architecture augmented with a Convolutional Block … …Journal of Computer Science, Vol. 22, Issue 6 · 3 Jun 2026 · 1,537 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Intelligent Hybrid Machine Learning Model for Paddy Disease DetectionS. Hrushikesava Raju, S. Adinarayna, U. Sesadri et al.Most countries rely on paddy/rice as a preferred staple crop due to its desirable agronomic characteristics. However, during the growth cycle, undetected or delayed identification of diseases can significantly reduce crop yield. To address this, machine learning approaches are increasingly employed for early-stage disease detection. Traditional Recurrent Neural Networks (RNNs), while useful for sequential data, suffer from limitations such as … …Journal of Computer Science, Vol. 22, Issue 4 · 29 Apr 2026 · 1,754 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Distillation GAN Model for Network Intrusion DetectionChandrakala C B, Sai Sreevall, Raghudathesh G PThis study presents a distillation-based Generative Adversarial Network (GAN) model designed for intrusion detection in network systems. A Teacher-Student architecture is proposed, in which a single teacher generator is utilized to train both the teacher discriminator and the student discriminator. The model was trained to identify anomalies present in network traffic intrusions by tuning the min-max loss function in GANs. … …Journal of Computer Science, Vol. 22, Issue 2 · 5 Mar 2026 · 1,560 accessesView PDFCite
Research ArticleOpen accessIn the abstractInternet of Things and Human Neocortex Inspired Algorithms for the Plant Disease Prediction-Sheath Blight for Paddy PlantThangaraj Ethilu, K. Parthiban, Arockia Jayadhas S et al.Sheath blight disease (Rhizoctonia solani) poses a critical threat to paddy (Oryza sativa) production, causing up to 50% yield losses under conducive environmental conditions. Existing computer vision-based disease detection systems identify infections only after symptom manifestation, while conventional machine learning prediction models suffer from high computational demands, data preprocessing requirements, and noise sensitivity. This research proposes a novel Hierarchical Temporal … …Journal of Computer Science, Vol. 21, Issue 11 · 18 Dec 2025 · 1,780 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Scalable Hierarchal Based Addressing Routing Architecture in Software Defined Network (SDN)Ahmed Gaber Abu Abd-Allah, Ashraf Zaki Ghalwash, Aya Sedky AdlySoftware Defined Networking (SDN) designs are initiated with their own apprehensions and challenges that are needed to be addressed by researchers. A Controller, the main and the dominant network resource in SDN, has complex connections that lead to traffic overhead between other devices in the network and also from and to other Controllers. A Controller’s capacity of communications obtains will … …Journal of Computer Science, Vol. 16, Issue 8 · 3 Sep 2020 · 6,478 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeep Learning Approach to Mitigate DDoS Attacks in SDNHema Surendrakumar Dhadhal, Paresh Kotak, Parvez Faruki, Atul GonsaiThe rise of Distributed Denial of Service (DDoS) attacks remains a significant obstacle to network security and availability. This abstract presents a new hybrid model for DDoS mitigation in Software-Defined Networking (SDN) environments, combining a Semi-supervised Deep Extreme Learning Machine (Semi-Deep ELM) with a hybrid architecture. SDN's centralized control and programmability create an ideal platform for implementing advanced mitigation strategies. … …Journal of Computer Science, Vol. 20, Issue 9 · 5 Jul 2024 · 5,345 accessesView PDFCite
Research ArticleOpen accessIn the abstractReal Time Object Tracking and Protection: Hybrid Logistics Architecture in Ubiquitous Environments (HLAiUE)Abdul Jawwad Patel, Abeer Alsadoon, P.W.C. Prasad, A. ElchouemiRealtime object security and vehicle tracking have not been successfully implemented in commercial vehicles due to limitations in processing large amount of data and hardware capabilities. This paper aimed to improve the object security, processing power and data storage in a distributed environment. The proposed system (HLAiUE) consists of a three-layer architecture, first layer is used to collect data, second … …American Journal of Applied Sciences, Vol. 15, Issue 8 · 17 Oct 2018 · 7,523 accessesView PDFCite
Research ArticleOpen accessIn the abstractUsing MVCA to Improve Architecture Modularity of Smart SpacesChakib Tadj, Moeiz Miraoui, Somia BelaidouniThere has been increasing interest in the use of context awareness, as a technique for designing architectures dedicated to smart spaces in order to adapt and produce suitable services according to user context. In recent years, various architectures have been developed to support context-aware systems. The major challenge with these systems is decomposing the entire architecture into smaller, modular components … …Journal of Computer Science, Vol. 13, Issue 10 · 20 Oct 2017 · 7,167 accessesView PDFCite
Research ArticleOpen accessIn the abstractEVALUATING THE DISCONTINUED TRADITIONS OF MALAY WOOD CARVINGS IN MALAYSIA: A FAILURE TO DEVELOP THE DISCOURSE ON MODERN AND POST MODERN ORNAMENTATION IN ARCHITECTURAL WORKSNangkula Utaberta, Mohamad Tajuddin Haji Mohamad RasdiThe main intention of this study is to contribute some thoughts on why the tradition of wood carvings in traditional Malay architecture was discontinued at the rise of modern and post-modern architectural works in Malaysia. Although the tradition of wood carvings more or less came to a stop in public architectural works with the development of colonial architecture, this study … …American Journal of Engineering and Applied Sciences, Vol. 7, Issue 2 · 19 Apr 2014 · 8,261 accessesView PDFCite