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Research ArticleOpen accessIn the abstractSystematic Literature Review of Graph Neural Networks in Disaster Management: Methods, Applications, and Future DirectionsSularno, Wendi Boy, Putri Anggraini et al.The increasing frequency and complexity of natural disasters underscore the urgent need for intelligent systems that support timely and effective decision-making. Graph Neural Networks (GNNs) have emerged as a powerful deep-learning paradigm for modeling spatial and relational data, offering distinct advantages for disaster management. This study presents a Systematic Literature Review (SLR) of GNN-based approaches for disaster mitigation, emergency response, … …Journal of Computer Science, Vol. 22, Issue 2 · 17 Feb 2026 · 2,036 accessesView PDFCite
Research ArticleOpen accessIn the abstractApplication of Multi Task Analysis Model Based on EEG Features in the Study of the Correlation between Depression and Sleep Disorders in College StudentsFeng MaWith the improvement of multi-modal technology, research on depression recognition combining multiple biological signal features has been increasing. Electroencephalogram signals reflect brain activity, and by analyzing their characteristics, the accuracy and stability of depression recognition can be effectively improved. Therefore, this study proposes a correlation analysis between depression and sleep disorders in college students based on electroencephalogram feature analysis, innovatively … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 4 · 2 Feb 2026 · 1,994 accessesView PDFCite
Review ArticleOpen accessIn the abstractCognitive Workload Assessment: A Comprehensive ReviewNegin Ozve Aminian, William Michael, Mehdi GhoreyshiMental workload during high-effort tasks is a crucial measure of effective task performance. Maintaining cognitive demands within an individual's capacity enables the effective performance of complex multi-tasking. Conversely, surpassing this margin may lead to unpredictable and suboptimal performance. This review explores human mental workload assessment across real-world tasks like aircraft piloting, vehicle driving under challenging conditions, and automated power plant … …Journal of Aircraft and Spacecraft Technology, Vol. 9, Issue 1 · 20 Aug 2025 · 7,554 accessesView PDFCite
Review ArticleOpen accessIn the abstractGabapentin in Cattle: A Pharmacology SnapshotCharbel Fadel, Irene Sartini, Mario GiorgiGabapentin (GBP) is an antiepileptic and analgesic drug that is derived from gamma-aminobutyric acid. It is used as an analgesic in multi-modal pain management, as well as an anticonvulsant and anxiolytic, off-label in animals. Particularly, oral GBP prescriptions for cattle are becoming increasingly popular. Since its introduction into cattle farm practices, several types of research on GBP in cattle have … …American Journal of Animal and Veterinary Sciences, Vol. 17, Issue 3 · 29 Jul 2022 · 7,821 accessesView PDFCite
Research ArticleOpen accessIn the abstractNumerical Study of Static and Dynamic Instabilities of Pinned-Pinned Pipe under Different ParametersDahmane Mouloud, Zahaf Samir, Benkhettab Mohamed, Boutchicha DjilaliIn this study, the natural frequencies of the pipe transporting an fluid resting on an elastic Winkler-type and the critical velocities of instabilities are obtained by the standard finite element method. A dynamic characteristic of a pipe carrying internal fluid undergoes mechanical load due to inertia effect of fluid, Coriolis force, fluid kinetic force due to fluid flow velocity, dynamic … …American Journal of Engineering and Applied Sciences, Vol. 13, Issue 4 · 21 Nov 2020 · 7,004 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Dual Exponentiated Weibull ModelMona Mustafa ElbielyA new lifetime model with various shapes of the hazard rate function for modeling uni-modal and bimodal data sets is introduced and studied along with its statistical properties. Before using the maximum likelihood method for estimating the unknown model parameters, we assessed its performance via a simulation study. The flexibility of the new model is illustrated via plots of the … …Journal of Mathematics and Statistics, Vol. 15, Issue 1 · 29 Jun 2019 · 6,511 accessesView PDFCite
Research ArticleOpen accessIn the abstractReal-Time Multimodal Biometric User Authentication for Web Application Access in Wireless LANSanjay Kumar, Surjit Paul, Dilip Kumar ShawWeb applications store trustworthy information and can be accessed online through wired or wireless network. Authentication is one of the major challenges to access these web applications. With varying level of sensitive data stored in web application, the concept of level of authentication can be introduced using biometric traits. This paper proposes biometric-based multi-modal authentication system with four levels of … …Journal of Computer Science, Vol. 13, Issue 12 · 26 Sep 2017 · 7,465 accessesView PDFCite
Research ArticleOpen accessIn the abstractQUALITY BASED SPEAKER VERIFICATION SYSTEMS USING FUZZY INFERENCE FUSION SCHEMELydia Abdul Hamid, Dzati Athiar RamliPerformances of single biometric speaker verification systems are outstanding in clean condition but drop significantly in noisy condition. Implementation of multibiometric systems is one of the solutions to this limitation. However, in order to ensure the performances of multibiometric systems are sustained, the optimum weight for the fusion system must be determined correctly according to the quality of current data. … …Journal of Computer Science, Vol. 10, Issue 3 · 3 Dec 2013 · 6,898 accessesView PDFCite
Research ArticleOpen accessIn the abstractStability and Ergonomic Design Features of Tractor Mounted Hydraulic Elevator for Coconut HarvestingKishor Purushottamrao Kolhe, Ashok G. Powar, Amit D. Dhakane, Sham H. MankarProblem statement: The most important design criterion of mechanized device was safety; safety comprises both the safety of operator and safety of maintenance personnel. Failures and safety of harvesting platform of Tractor Mounted Hydraulic Elevator (TMHE) powered by tractor PTO was tested by finite element method for the mechanical harvesting of coconut orchards using digital ergonomic hart rate meter. The … …American Journal of Engineering and Applied Sciences, Vol. 4, Issue 3 · 20 Sep 2011 · 8,326 accessesView PDFCite
Research ArticleOpen accessIn the abstractUMPM-Net: A Multimodal Deep Learning Framework for Colorectal Cancer PrognosisK. Muthuchamy, S K. Piramu PreethikaColorectal cancer (CRC) is one of the most common cancers worldwide, for which early prediction of patient outcomes is important for personalised treatment planning and to improve survival. However, current prediction systems are limited in the fact that they are based on single-modality data and cannot capture the complex interactions between clinical, imaging, and genomic factors. To overcome these shortcomings, … …Journal of Computer Science, Vol. 22, Issue 9 · 20 Sep 2026 · 613 accessesView PDFCite