Research ArticleOpen accessPhrase in the titleStructural Analysis of Spatial MechanismsFlorian Ion Tiberiu PetrescuThe paper briefly presents how structural analysis is performed on spatial mechanisms, presenting a practical application in the mechatronics of parallel robots, especially in Steward platforms. Structural analysis always helps to better understand the phenomena and especially the way the mechanisms are made. At spatial mechanisms the problems are a little more complex than those raised by plane mechanisms. For … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 2 · 26 May 2018 · 7,971 accessesView PDFCite
Research ArticleOpen accessIn the abstractExplainable MedAttn-ResNet50 for Automated Kidney Tumor Classification from CT Images With Grad-CAM VisualizationD. Vetrithangam, Pramod Kumar, Shilpasree S. et al.Kidney tumor classification from CT imaging remains challenging due to CT-specific intensity variations, tumor heterogeneity, and limited clinically meaningful interpretability in existing deep learning models. To address these limitations, we propose an Explainable MedAttn-ResNet50 framework that integrates radiology-driven preprocessing, multi-scale feature extraction, and medical attention mechanisms within a unified architecture. The preprocessing pipeline applies radiology-inspired intensity normalization, contrast enhancement, and … …Journal of Computer Science, Vol. 22, Issue 8 · 13 Aug 2026 · 1,120 accessesView PDFCite
Review ArticleOpen accessIn the abstractA Systematic Review of Adversarial Attacks: ML Techniques, Classification and CountermeasuresBhavesh Kumar Sharma, Sanatan Ratna, Rajiv KumarMachine Learning (ML) and Deep Learning (DL)-based technologies have made significant strides in areas such as computer vision, natural language processing, and autonomous systems. Yet they have been applied in high-stake applications, and have been found to be fragile through adversarial attacks-, maliciously crafted small distortions that fool models into making mistakes. From the pioneering work by Szegedy et al. … …Journal of Computer Science, Vol. 22, Issue 5 · 19 May 2026 · 1,497 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntelligent Multi Model Ensemble for Engagement PredictionFahmida Begum, K Ulaga PriyaFor intelligent educational systems, the ability to monitor and respond to student engagement in real time is essential for enhancing learning outcomes. However, existing models often lack adaptability and practical deployment potential, as they depend on single data modalities, rigid ensemble mechanisms, and post-session analysis. This study introduces an intelligent multimodal ensemble framework designed to address these challenges by predicting … …Journal of Computer Science, Vol. 22, Issue 4 · 28 Apr 2026 · 1,844 accessesView PDFCite
Research ArticleOpen accessIn the abstractBiformer Attention and ASF-YOLO for Cordyceps Sinensis Target RecognitionRu Yang, Peng Wu, Zhentao QinCordyceps sinensis, a highly valued traditional Chinese medicine, faces challenges in collection due to inefficiencies in manual searching, strenuous labor, and the impact of subjective expertise. The integration of deep learning into Cordyceps sinensis identification is an unexplored area. To alleviate the manual labor and enhance the precision and speed of identifying Cordyceps sinensis, a novel detection approach that combines … …American Journal of Biochemistry and Biotechnology, Vol. 20, Issue 4 · 14 Nov 2024 · 4,543 accessesView PDFCite
Research ArticleOpen accessIn the abstractSerial, Anthropomorphic, Spatial, Mechatronic Systems can be Studied More Simply in a PlanRelly Victoria Virgil Petrescu, Raffaella Aversa, Antonio Apicella et al.The mobile, mechatronic, robotic, serial, spatial, anthropomorphic type systems, which are currently the most used in the machine building industry, can be studied much more simply in a plan instead of the usual spatial study. This not only simplifies the understanding of these systems (including from a didactic point of view) but also facilitates computational methods, moving from matrix analytical … …Journal of Mechatronics and Robotics, Vol. 1, Issue 2 · 20 Dec 2017 · 6,441 accessesView PDFCite
Research ArticleOpen accessIn the abstractCurrent Stage in the Field of Mechanisms with Gears and RodsRelly Victoria Virgil Petrescu, Raffaella Aversa, Antonio Apicella et al.The development and diversification of machines and mechanisms with applications in all fields require new scientific researches for the systematization and improvement of existing mechanical systems by creating new mechanisms adapted to modern requirements, which involve increasingly complex topological structures. The modern industry, the practice of designing and building machinery is increasingly based on the results of scientific and applied … …Journal of Mechatronics and Robotics, Vol. 1, Issue 2 · 13 Dec 2017 · 6,846 accessesView PDFCite
Research ArticleOpen accessIn the abstractRobust of Doppler Centroid for Mapping Sea Surface Current by Using Radar Satellite DataMazlan Hashim, Maged MarghanyProblem statement: Sea surface current retrieving from Synthetic Aperture Radar (SAR) is required standard methods due to the complexity of sea surface ocean imaging in SAR data. In this context, various analytical models have been developed which describe overall effects of sea surface roughness on the Doppler signal mechanisms. Nevertheless, such models are limited in the complexity of the sea … …American Journal of Engineering and Applied Sciences, Vol. 2, Issue 4 · 31 Dec 2009 · 7,415 accessesView PDFCite
Research ArticleOpen accessIn the abstractFabric Behavior of Sand in Post-liquefactionSeyed Amirodin SadrnejadAn anisotropic plasticity model for post-liquefaction of the undrained behavior of sand is presented. The model incorporates the critical/steady state concept that postulates the existence of a state where sand continuously deforms at a certain constant effective stress depending two main parameters of both initial bulk parameters (void ratio or relative density) and the stress level (mean stress). The local … …American Journal of Applied Sciences, Vol. 2, Issue 12 · 31 Dec 2005 · 6,409 accessesView PDFCite
Review ArticleOpen accessAll words, across the recordA 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