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83 results for “device performance”
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Research ArticleOpen accessEvery word in the titlePerformance Evaluation of an Assisting Device for Training "Normal-Like" Sit To Stand MovementPierluigi Rea, Erika Ottaviano, Gianni CastelliThis paper presents a performance evaluation and results on the modelling and simulation of an assisting device to be used as aiding or guiding system for people with reduced mobility. There is a high level of motivation for elderly to perform independently basic Activities of Daily Life (ADL). Therefore, it is of great interest to design and implement reliable assisting … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 3 · 26 Jul 2017 · 7,694 accessesView PDFCite
Research ArticleOpen accessIn the keywordsNovel Scheme for Enhancing Storage Management and Performance and Saving Energy of Mobile Cloud ComputingAli A. Yassin, Abdulla J. Yassin, Abdullah Mohammed Rashid, Ahmed A. AlkadhmaweeModern industries for smart mobile devices, such as smartphones, provide end users with interactive features that consider network accessibility, computation performance, storage usage, energy saving and limited battery resources. The combination of cloud and mobile computing capabilities has introduced a new technology called Mobile Cloud Computing (MCC), which has extended smartphones and modern mobile devices beyond their core capacities. Many … …Journal of Computer Science, Vol. 15, Issue 5 · 9 May 2019 · 7,871 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAdaptive Complementary Metal-Oxide-Semiconductor Device by Externally Controlled Gate Oxide ThicknessB. Gopi, R. S.D. WahidabanuProblem statement: Since the advent of IC and VLSI technology, the demand for high-speed devices and equipment is growing very rapidly. Every individual researcher is marching towards the dream of achieving it. The role of a design engineer is becoming more challenging. As per Moore’s law, the packing density doubles every eighteen months. This is possible only by scaling down … …Journal of Computer Science, Vol. 8, Issue 4 · 1 Feb 2012 · 7,103 accessesView PDFCite
Review ArticleOpen accessIn the keywordsMulti-Timescale Microscopic Theory for Radiation Degradation of Electronic and Optoelectronic DevicesDanhong Huang, Fei Gao, D.A. Cardimona et al.A multi-timescale hybrid model is proposed to study microscopically the degraded performance of electronic devices, covering three individual stages of radiation effects studies, including ultra-fast displacement cascade, intermediate defect stabilization and cluster formation, as well as slow defect reaction and migration. Realistic interatomic potentials are employed in molecular-dynamics calculations for the first two stages up to 100 ns as well … …Space Science International, Vol. 3, Issue 1 · 15 Jun 2015 · 10,235 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Comparative SCAPS-1D Study of Lead-Free CsSnCl₃-Based Perovskite SCs Employing Different ETLsRony Tota, Shak Mahmudul Hasan, Md. Morsalin et al.Cesium tin chloride (CsSnCl3) has drawn considerable interest as a non-toxic absorber candidate for next-generation photovoltaic devices, offering an attractive combination of affordability, thermal robustness, and competitive conversion performance suitable for clean-energy deployment. In the present work, the photovoltaic behaviour of CsSnCl₃-based SCs was numerically examined using the SCAPS-1D software. Three distinct device stacks were constructed by varying the ETL, … …American Journal of Engineering and Applied Sciences, Vol. 19, Issue 1 · 22 May 2026 · 1,737 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntegration of Local Large Language Models, Retrieval-Augmented Generation, and Adaptive LearningAnass Belcaid, Kamal ReklaouiIn recent years, many schools and teachers have started using closed Large Language Models (LLMs) to help with learning. These tools can be very helpful for tutoring and personal learning, but they also bring serious problems. One big issue is that they use cloud systems, which means student data is sent to outside servers. This can put privacy at risk … …Journal of Computer Science, Vol. 22, Issue 4 · 26 Mar 2026 · 3,923 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 · 1,412 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Deep Learning Approach for Tomato Leaf Disease Detection Using Optimized CNN ArchitectureSunil K. Vithalani, Vipul K. DabhiEarly disease detection in plants is essential for sustaining agricultural yield and guaranteeing food security. A comparative analysis of transformer-based and convolutional based deep learning models for classifying tomato leaf diseases is presented. Specifically, it examines the performance of a Vision Transformer (ViT), tested both in a form of scratch training setup and through transfer learning, against well-known CNN architectures … …Journal of Computer Science, Vol. 22, Issue 1 · 7 Feb 2026 · 3,917 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Edge Efficient and Lightweight Hybrid CNN Vision Transformer Network With CBAM for IoT Based Plant Disease DetectionNyabeye Pangop Doris-Khöler, Kengni Ngangmo OlgaDetecting crop disease early enough to act on it remains a bottleneck for smallholder and precision farming alike, particularly when diagnosis depends on manual inspection or lab analysis that cannot keep pace with an outbreak. We present AgriViTNet, a compact CNN-Vision Transformer hybrid built for exactly this constraint: It extracts local texture cues through convolution, relates them across the whole … …Journal of Computer Science, Vol. 22, Issue 9 · 20 Sep 2026 · 578 accessesView PDFCite
Review ArticleOpen accessIn the abstractA Systematic Review of Artificial Intelligence and Deep Learning Approaches for Cocoa Pod Disease DetectionHenry Techie-Menson, Michael Asante, Yaw Marfo Missah et al.Cocoa pod diseases destroy an estimated 700,000 metric tons of cocoa annually, threatening 40–50 million smallholder farmers across tropical regions. Accurate field diagnosis remains constrained by symptom similarity, labour-intensive scouting, and limited specialist access in remote communities. This paper presents a PRISMA-guided systematic review of 25 peer-reviewed studies on automated cocoa pod disease detection and classification (2016–2026), addressing architectural approaches, … …Journal of Computer Science, Vol. 22, Issue 8 · 8 Sep 2026 · 733 accessesView PDFCite