396 results for “Learning Based Approach”

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Research ArticleOpen accessAll words, across the recordUnderwater Fused Image Classification Using Deep Learning Based Resnet and Hybrid PSO + HHO ModelDevika Sarath, M. SucharithaIn image fusion, multiple images are combined into one with minimal distortion and data loss. Image fusion forms a highly configured image with good results. The image fusion technique is employed in various domains, including remote sensing, robotics, medical applications, and underwater image processing. The focus of this study is on a unique underwater image fusion approach that allows for … …Journal of Computer Science, Vol. 19, Issue 4 · 24 Mar 2023 · 5,844 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordAn Adaptive Machine Learning Algorithm for Resilient Higher-Order Mutant GenerationSubhasish Mohanty, Jyotirmaya Mishra, Sudhir Kumar Mohapatra et al.In the field of software engineering, ensuring the reliability androbustness of software is paramount, and software testing plays a criticalrole in this process. Mutation testing, a fault-based technique, evaluates theeffectiveness of test suites by introducing artificial defects, known asmutants, into programs. This research presents a novel method forgenerating higher-order mutants (HOMs) using the Chemical ReactionOptimization (CRO) algorithm, which enhances the … …Journal of Computer Science, Vol. 21, Issue 5 · 20 May 2025 · 8,238 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordClassification of Heart Disease Using Cluster Based DT LearningSenthilkumar Mohan, Chandrsegar Thirumalai, Abdalah RababahIn the rural side, due to the absence of cardiovascular ailment centers, around 12 million people passing away worldwide reported by WHO. The principal purpose of coronary illness is a propensity of smoking. Our Cluster based disease Diagnosis (CDD) applies the ML classifiers to improve the prediction accuracy of cardiovascular diseases. For this we have taken a real Cleveland dataset … …Journal of Computer Science, Vol. 16, Issue 1 · 10 Jan 2020 · 7,363 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordA Coding Schema-Based Mobile System for Children With ASD in MauritaniaCheikhne Mohamed Mahmoud Seyidi, Ahmed Mohameden, Mohamed Lamine Diakité, Mohamedade Farouk NanneChildren with Autism Spectrum Disorders (ASD) in many African countries face persistent barriers, including limited diagnostic awareness, scarce specialized resources, and the absence of educational interventions adapted to local contexts. In Mauritania, these challenges are exacerbated by the extreme centralization of autism services, with only two care centers available nationwide. Unlike existing ASD interventions that rely on imported pedagogical models … …Journal of Computer Science, Vol. 22, Issue 5 · 25 May 2026 · 1,312 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordEnhancing Social Media Face Emotion Recognition Using a Fuzzy ELM ApproachShuchi Gupta, K. Viswanath, S. Gokul Pran et al.Our computational tools for searching, exploring, and sharing personal photographs are falling behind the rapid pace at which these images are being captured digitally. The use of automatic face recognition to categorize images according to the people in them is one potential solution. Accurate recognition on the Internet scale, however, presents the seemingly insurmountable challenge of picking out specific people … …Journal of Computer Science, Vol. 22, Issue 3 · 20 Mar 2026 · 1,978 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordA 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 · 1,549 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordCascaded MNetV3UNet: A Lightweight Two-Stage Architecture for High-Precision Brain Tumor Segmentation in MRIMayuri Popat, Sanskruti PatelPrecise brain tumor segmentation is an essential but quite challenging process in MRI images because of their irregular shapes, heterogeneous appearance, and low contrast with surrounding tissues. While U-Net-based architectures have achieved significant success, their high computational complexity limits deployment on resource-constrained systems. In this study, a Novel two-stage cascaded architecture, MNetV3UNet, is introduced, which employs the light-weight MobileNetV3-Large as … …Journal of Computer Science, Vol. 22, Issue 2 · 23 Feb 2026 · 1,788 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordDeep Learning-Based Spectrum Sensing in Cognitive Radio Networks using Stacked LSTM: Performance Analysis of SNR and BERKavitha Veerappan, Seetharaman GopalakrishnanRapid evolution of wireless communication technologies and emergence of 5G networks have addressed lack of spectrum resources, highlighting the need for innovative topologies to improve the spectrum utilization. Due to this reason, Cognitive Radio (CR) has evolved as an optimized solution to overcome these difficulties by allowing dynamic spectrum access, thereby reducing the under-usage of available spectrum. Considering this, precise … …Journal of Computer Science, Vol. 21, Issue 11 · 19 Dec 2025 · 2,219 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordAutomatic Skin Lesion Diagnosis and Medical ReportGeneration Based on Image CaptioningAbdelouahed Sabri, Chaimae Zouitni, Hamza El Medhoune, Abdellah AarabCaptioning or textual description of the visual content of imagesinvolves generating meaningful words and sentences to describe the contentof an image. This work lies at the crossroads of Natural LanguageProcessing (NLP) and computer vision. When dealing with medical imagesand especially skin lesions, it goes beyond simple classification to generatedetailed textual reports describing the skin lesion's conditioncomprehensively. Such reports are crucial … …Journal of Computer Science, Vol. 21, Issue 5 · 13 May 2025 · 5,422 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordEmpirical Study on Modified Pre-Trained CNN Architectures for Fitzpatrick17k Skin Diseases Prediction ModellingSteven Matthew, Nur Afny Catur Andryani, Rojali et al.Preventing missed diagnosis of skin diseases is critical for enhancing patient outcomes. Technology support empowered by AI based algorithms have been recently developed to minimize the burden. Convolutional Neural Networks (CNNs) are increasingly utilized for image classification tasks including skin's diseases prediction modelling. Its advancement architectures such as pre-trained models, VGG16 andResNet50 provide a strong foundation to up-skill the prediction … …Journal of Computer Science, Vol. 21, Issue 7 · 8 Jul 2025 · 3,934 accessesView PDF Cite