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236 articles for “Data loss”
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Research ArticleOpen accessIn the abstractShots Temporal Prediction Rules for High-Dimensional Data of Semantic Video RetrievalShaimaa Toriah Mohamed Toriah, Atef Zaki Ghalwash, Aliaa A.A. YoussifTemporal consistency stands as a vital property in semantic video retrieval. Few research studies can exploit this useful property. Most of the used methods in those studies depend on rules defined by experts and use ground-truth annotation. The Ground-truth annotation is time-consuming, labor intensive and domain specific. Additionally, it involves a limited number of annotated concepts and a limited number … …American Journal of Applied Sciences, Vol. 15, Issue 1 · 30 Jan 2018 · 8,120 accessesView PDFCite
Research ArticleOpen accessIn the abstractHuman Synergy Based Analysis to Control of Rehabilitation Robot for Adaptive AssistanceGyanendra Nath TripathiAdaptive assistance is needed to support mobility of disabled person due to weakened muscles and loss of joint control. Assistive robot requires coordinated motion trajectory of its joint, similar to human joint trajectory. A robot trajectory planning mechanism, based on comparative analysis between robot trajectory and human joint trajectory data is important to find coordinated trajectory for assistive robot joint. … …Journal of Mechatronics and Robotics, Vol. 9, Issue 1 · 8 Oct 2025 · 3,057 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Effect of Packet Redundancy Elimination Technique in Sensor NetworksDeepa Priya, Sharmini EnochA lot of sensor nodes which are able to sense, process and communicate with external base station with the data obtained from external environment belong to a class of adhoc networks called wireless sensor networks. The main challenge in sensor network is to increase the life time of the network thereby reducing duplicate by detecting the redundant information. While the … …Journal of Computer Science, Vol. 14, Issue 6 · 25 Feb 2018 · 7,885 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalysis and Design of Protocol for the Reconstruction of Computer Field Model Using Dron and PhotogrammetryBoris Tunjić, Andrija Bernik, Andrej ČepOne of the main challenges in aerial photogrammetry is the lack of standardization in the process of data integration, which is the first step in 3D reconstruction. This study analyses the influence of the distance from the camera to the subject of the recording, the influence of different overlap percentages in photography as well as the difference between the three … …Journal of Computer Science, Vol. 19, Issue 12 · 15 Nov 2023 · 5,037 accessesView PDFCite
Research ArticleOpen accessIn the abstractEcological Situation of Poplar Species in the Aral Sea Region of KazakhstanBaikenzheyeva Ainur, Kurmanbayev Rakhat, Toktaganova Gulzhas et al.The study was conducted in response to the deteriorating environmental conditions in the Aral Sea region of Kazakhstan, characterized by the degradation of natural ecosystems, loss of biodiversity, and the disappearance of valuable tree species. Of particular importance is the investigation of the current status of populations of Populus pruinosa Schrenk and Populus diversifolia Schrenk, relic tree species of the … …OnLine Journal of Biological Sciences, Vol. 26, Issue 4 · 30 Sep 2026 · 588 accessesView PDFCite
Research ArticleOpen accessIn the abstractTAGN-IDC: Implicit Discrete Constraints for Tsunami Aware Graph Neural Networks in Spatial Evacuation RoutingSularno, Wendi Boy, Putri Anggraini et al.Tsunami evacuation route requires rapid identification of safe evacuation paths under dynamically changing hazard conditions. A major challenge is incorporating hard binary road-blockage constraints caused by tsunami inundation while maintaining end-to-end differentiability for deep learning models. Existing approaches commonly rely on continuous relaxations or stochastic sampling techniques, which either compromise physical feasibility or increase computational complexity. This study proposes the … …Journal of Computer Science, Vol. 22, Issue 9 · 24 Sep 2026 · 711 accessesView PDFCite
Research ArticleOpen accessIn the abstractMorphological Database and Quantification of Liberica Coffee Beans Using a Hybrid CNN ModelDioneces O. Alimoren, Francis G. Balazon, Jonnah R. Melo et al.Traditional evaluation of Liberica coffee (Kapeng Barako) in Batangas is commonly performed through manual visual inspection and sensory judgment, which are slow, subjective, and difficult to reproduce across farms, buyers, and grading personnel. These limitations can lead to inconsistent quality classification, weak traceability, and reduced bargaining power for local producers. This study develops and validates a web-based morphological analysis system … …Journal of Computer Science, Vol. 22, Issue 8 · 24 Aug 2026 · 1,344 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnimal Health Prediction Using Hybrid CNN Based BiLSTM Classification Model: A Deep Learning ApproachJ. Rathi, A. SumathiAccurate prediction of animal diseases is vital in veterinary medicine, as it can substantially enhance animal health outcomes and mitigate economic losses, making it a critical task that warrants attention and innovative solutions. This paper proposes a novel approach to animal condition classification, leveraging an Auto-encoder-based feature selection process and an Improved Hybrid Convolutional Neural Networks (CNN) with Bidirectional (Bi-LSTM) … …Journal of Computer Science, Vol. 22, Issue 5 · 20 May 2026 · 1,488 accessesView PDFCite
Research ArticleOpen accessIn the abstractTransfer Learning-Driven Binary Classification of Chest X-ray for Pneumonia Using Deep Convolutional ArchitecturesNusrath Fathima, Pradeep KumarPneumonia is the most common infectious cause of lung inflammation, resulting from the presence of viruses or bacteria in the microscopic air sacs. In recent years, artificial intelligence, particularly deep learning, has gained significant traction in the field of medical imaging. Early detection and diagnosis of pneumonia using chest X-rays can support radiologists in clinical decision-making and subsequent treatment planning, … …Journal of Computer Science, Vol. 22, Issue 3 · 10 Mar 2026 · 1,547 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimized WFST-Based ASR for Arabic: Balancing Memory, Speed, and AccuracyWael A. Sultan, Mourad S. Semary, Sherif M. AbdouWeighted Finite-State Transducers (WFSTs) have revolutionized Automatic Speech Recognition (ASR) by enabling significantly faster decoding speeds compared to traditional systems that build the search space progressively. However, applying WFSTs to morphology-rich languages such as Arabic presents challenges due to the large vocabulary, resulting in extensive networks that exceed the memory capacity of standard CPUs. This study introduces various strategies to … …Journal of Computer Science, Vol. 22, Issue 2 · 23 Feb 2026 · 1,446 accessesView PDFCite