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Research ArticleOpen accessIn the keywordsElderly People Fall Detection System Using Skeleton Tracking and RecognitionD. Bansal, Abeer Alsadoon, P.W.C. Prasad et al.The fall detection systems use a variety of technologies like sensors, wearable devices, color camera, thermal camera etc. With the use of Microsoft Kinect camera for non-gaming purposes, depth images have started being utilized for fall detection. Various authors have made an attempt at using Kinect for fall detection in combination with a variety of techniques like ellipse analysis, bounding … …American Journal of Applied Sciences, Vol. 15, Issue 9 · 7 Nov 2018 · 8,212 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSimplified Analysis of the Lining Behavior During Earthquakes in Deep Rock TunnelsPierpaolo OresteThe sizing of the lining of a tunnel requires to consider not only the static loads transmitted from the surrounding rock, but also the effects of earthquakes on the stresses and strains of the lining. The detailed evaluation of the interaction earthquake-lining using numerical methods typically requires very long calculation time and can be limited to the verification of the … …American Journal of Applied Sciences, Vol. 12, Issue 3 · 4 May 2015 · 6,901 accessesView PDFCite
Research ArticleOpen accessIn the keywordsIntroduction to the New Type of Algorithms for Accelerating Convergence of SequenceR. ThukralA collection of new algorithms for accelerating the convergence of sequence of functions was described. The definitions and connections of these new algorithms with the improved functional epsilon algorithms are given. The effectiveness of these new algorithms was examined, namely the α-algorithms, the β-algorithms, the γ-algorithms, the δ-algorithms and the improved functional epsilon algorithms, for approximating solutions of a given … …Journal of Mathematics and Statistics, Vol. 1, Issue 1 · 31 Mar 2005 · 6,358 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing Fleet Management with GPS Data in Port Terminals: A Deep Learning Architecture for Truck Position PredictionMohammed El Karkraoui, Hicham AttariuasEffective truck fleet management in port terminals is crucial for improving operational efficiency and reducing delays. However, GPS-based positioning systems often face limitations in port environments due to signal obstructions and network issues. This study explores the utilization of advanced methods for deep learning, particularly Recurrent Neural Networks (RNNs) for predicting truck positions when GPS signals are unavailable or unreliable. … …Journal of Computer Science, Vol. 21, Issue 10 · 16 Dec 2025 · 2,271 accessesView PDFCite
Research ArticleOpen accessIn the abstractSparse Partial Optimal Transport via Quadratic RegularizationKhang Tran, Khoa Nguyen, Anh Nguyen et al.Partial Optimal Transport (POT) has recently emerged as a central tool in various Machine Learning (ML) applications. It lifts the stringent assumption of the conventional Optimal Transport (OT) that input measures are of equal masses, which is often not guaranteed in real-world datasets, and thus offers greater flexibility by permitting transport between unbalanced input measures. Nevertheless, existing major solvers for … …Journal of Computer Science, Vol. 21, Issue 7 · 17 Jul 2025 · 3,905 accessesView PDFCite
Research ArticleOpen accessIn the abstractCUDA-Powered EDSR x4: Super-Resolution for Real-Time Video EnhancementGaneshayya Shidaganti, Shubeeksh Kumaran, Vishwachetan DSuper-Resolution enhances image or video quality by upscaling frames to higher resolutions, which is essential for applications like investigative analysis demanding higher quality. However, this process is resource-intensive. GPUs, with their thousands of CUDA cores, offer significant parallel processing advantages over CPUs, enabling faster performance. This paper presents an optimized approach for real-time video enhancement using the EDSR x4 model … …Journal of Computer Science, Vol. 21, Issue 6 · 23 May 2025 · 5,805 accessesView PDFCite
Research ArticleOpen accessIn the abstractIsolation and Culture of Oocytes from Dairy Cows' Ovaries for Productivity in the Southeastern Region of KazakhstanDauren Maratovich Bekenov, Batyrkhan Azimkhanovich Buralkhiev, Yusupzhan Artykovich Yuldashbayev et al.This research work aims to study methods for isolating and culturing follicular oocytes from Holstein cows in vitro. The proven complex of technologies for embryo transplantation on an industrial scale will provide a 3-5-fold acceleration of reproduction of highly productive cows. As a result of scientific research, biotechnological methods of accelerated reproduction of dairy cattle have been substantiated and introduced … …OnLine Journal of Biological Sciences, Vol. 24, Issue 4 · 14 Oct 2024 · 4,298 accessesView PDFCite
Research ArticleOpen accessIn the abstractPresentation of Four-stroke Engine Design ElementsRelly Victoria Virgil PetrescuHaving escaped the shadow of the global energy crisis by implementing nuclear fission, wind, solar, bioenergy, but also by producing and extracting (deep) gases capable of providing us with planetary reserves for two more. Or at least three thousand years, we have started to relax more energetically, but due to the huge pollution produced by cars, the rules of their … …Journal of Mechatronics and Robotics, Vol. 4, Issue 1 · 28 Apr 2020 · 6,950 accessesView PDFCite
Research ArticleOpen accessIn the abstractShelf-Life Prediction of Specialty Coffees using the Arrhenius ModelFrank Fernández Rosillo, María Alina Cueva Ríos, Lenin Quiñones Huatangari, Carla Guianella Samaniego LalanguiThe study estimated the shelf life of roasted and ground specialty coffees in bi-laminated and tri-laminated packaging concerning cup score, using the Acceleration Test at temperatures of 40, 50, and 60°C. The sensory evaluation was carried out by Q Grader tasters. Based on the higher value of the coefficient of determination of the regressions resulting from the cup and temperature … …OnLine Journal of Biological Sciences, Vol. 23, Issue 1 · 23 Dec 2022 · 6,881 accessesView PDFCite
Research ArticleOpen accessIn the abstractImplementation of Sensor Filters and Altitude Estimation of Unmanned Aerial Vehicle using Kalman FilterMertcan Akın, Aytaç Gören, Ahmed RachidSensor outputs are used when finding the position of an Autonomous Aerial Vehicle (UAV). Outputs such as air pressure, vehicle acceleration or magnetic field help the vehicle decide its attitude and altitude. However, it must also predict the next movement of the vehicle. The Kalman Filter is used to assist observing and predicting the state of a system. To achieve … …Journal of Mechatronics and Robotics, Vol. 5, Issue 1 · 30 Jan 2021 · 8,026 accessesView PDFCite