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52 results for “Hybrid Computation”
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Research ArticleOpen accessIn the abstractSmart and Secure Anomaly Detection in IoT Using Quantum Inspired Kernel Ensemble LearningAbrar M. AlajlanThe exponential growth of the Internet of Things networks has greatly increased the attack surface for cyber threats, necessitating the use of strong and perceptive anomaly detection systems. Traditional intrusion detection systems often struggle with high false alarm rates, limited generalization, and inefficiency in processing high-dimensional heterogeneous IoT data. To address this issue, a novel Hybrid Quantum-Enhanced Kernel Ensemble Learning … …Journal of Computer Science, Vol. 22, Issue 3 · 12 Mar 2026 · 1,769 accessesView PDFCite
Research ArticleOpen accessIn the abstractFine-Tuned and Optimized Transformer-Based Model for EEG Seizure DetectionPuspanjali Mallik, Ajit Kumar Nayak, Kumar Janardan Patra et al.Epilepsy, a widely recognized neurological disorder, results from irregularities in the transmission of electrical impulses among neurons in the brain. Over the last two decades, significant efforts have been made by researchers and clinicians to develop effective methods for its early detection and management. The electroencephalogram (EEG), a non-invasive tool used to monitor brainwave activity, has become a central device … …Journal of Computer Science, Vol. 21, Issue 11 · 11 Feb 2026 · 1,424 accessesView PDFCite
Research ArticleOpen accessIn the abstractGroup Decision Support System to Determine Regional Development Priority Using the Item-Based Clustering Hybrid MethodSri Setiyowati, Sumiati, Sutarti et al.Determination of regional development priorities is usually influenced by two factors, firstly the policy-making subjectivity (regional head) second to the results of the development data analysis. But both often do not go hand in hand because in fact subjectivity is more dominant than combining the two. The development of computational technology, especially in the area of decision support, provides space … …Journal of Computer Science, Vol. 15, Issue 4 · 19 Apr 2019 · 7,832 accessesView PDFCite
Research ArticleOpen accessIn the abstractSelf-Supervised Contrastive Learning for Steering Angle Prediction in Autonomous Driving SimulationsMaxson Phang, Suryadiputra LiawatimenaPredicting steering angles is a crucial task in autonomous driving, with end-to-end deep learning being a widely used approach. However, such models often suffer from overfitting to learned trajectories, limiting their generalization to new data. To address this, self-supervised contrastive learning is explored as an alternative, allowing models to learn meaningful representations without labeled data. The primary objective is to … …Journal of Computer Science, Vol. 21, Issue 9 · 20 Oct 2025 · 2,588 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Analysis of Binary Patterns Pyramid and Gabor Filters for Machine Learning-Based Nail Disease DetectionJagadeeswari Boopalan, Maruthu Perumal SabtharishiNail diseases, including Onychomycosis and Psoriasis, are common conditions that pose diagnostic challenges due to subtle clinical presentations and reliance on invasive methods. This study investigates the effectiveness of Binary Patterns Pyramid Filter (BPPF) and Gabor Filter (GF) as feature extraction techniques for machine learning-based nail disease detection, addressing three categories: Healthy, Onychomycosis, and Psoriasis. Using a dataset of 1,466 … …Journal of Computer Science, Vol. 21, Issue 8 · 2 Oct 2025 · 2,183 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhanced RSACRT for Energy Efficient Authentication to Wireless Sensor Networks SecurityP. Kalyani, C. ChellappanProblem statement: The Security in WSN has become a challenge because of its inherent limitations of resources imposed on the sensor nodes. Authentication and key management scheme allows WSNs to be used with confidence and maintains integrity of data in sensor networks. Approach: In the WSN limited resource scenario the generation of public key done and are randomly pre distributed … …American Journal of Applied Sciences, Vol. 9, Issue 10 · 18 Aug 2012 · 7,344 accessesView PDFCite
Research ArticleOpen accessIn the abstractNovel Adaptive Job Scheduling Algorithm on Heterogeneous Grid ResourcesG. K. Kamalam, V. Murali BhaskaranGrid provides an infrastructure for sharing geographically distributed heterogeneous resources to process many applications and mainly used for solving scientific problems that requires more computation time. Problem statement: Grid is a dynamic environment, where the resources may join or leave the environment at any time and the jobs also arrives at different intervals of time. To meet the demands and … …American Journal of Applied Sciences, Vol. 9, Issue 8 · 6 Jul 2012 · 6,853 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Parallel Maximal Cliques Algorithm for Protein Sequence ClusteringKhalid Jaber, Nur’Aini Abdul Rashid, Rosni AbdullahProblem statement: Protein sequence clustering is a method used to discover relations between proteins. This method groups the proteins based on their common features. It is a core process in protein sequence classification. Graph theory has been used in protein sequence clustering as a means of partitioning the data into groups, where each group constitutes a cluster. Mohseni-Zadeh introduced a … …American Journal of Applied Sciences, Vol. 6, Issue 7 · 31 Jul 2009 · 7,103 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Hybrid Approach Based Medical Image Retrieval System Using Feature Optimized Classification Similarity FrameworkYogapriya Jaganathan, Ila VennilaFor the past few years, massive upgradation is obtained in the pasture of Content Based Medical Image Retrieval (CBMIR) for effective utilization of medical images based on visual feature analysis for the purpose of diagnosis and educational research. The existing medical image retrieval systems are still not optimal to solve the feature dimensionality reduction problem which increases the computational complexity … …American Journal of Applied Sciences, Vol. 10, Issue 6 · 6 Jun 2013 · 7,029 accessesView PDFCite
Research ArticleOpen accessIn the abstractOn the Closed Form Solutions of Linear and Nonlinear Cauchy Reaction-Diffusion Equations Using the Hybrid of Fourier Transform and Variational Iteration MethodS.S. Nourazar, A. Nazari-Golshan, M. NourazarProblem statement: In the present study, a hybrid of Fourier transform and Variational Iteration Method (FTVIM) is developed for solving the non-homogeneous linear and nonlinear partial differential equations of Cauchy reaction-diffusion problem. Approach: The closed form solutions obtained from the series solution of recursive sequences is valid for the entire range of problem domain. Results and Conclusion: Moreover, the very … …Physics International, Vol. 2, Issue 1 · 26 Oct 2011 · 8,197 accessesView PDFCite