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214 results for “data reduction”
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Literature ReviewOpen accessIn the abstractAtherosclerosis and Alzheimer’s Disease Interconnection: Inflammation, Aβ and MoreAnastasia Vladimirovna Poznyak, Victoria Khotina, Roghayyeh Vakili-Ghartavol et al.Despite being the leading cause of CVD and cardiovascular mortality globally, Atherosclerosis (ATH) remains underdiagnosed and undertreated. The reasons behind Alzheimer’s Disease (AD) also remain unclear and there is currently no cure for it. At present, at least 55 million people are believed to be suffering from the disorder and the figures are expected to grow. At the same time, … …OnLine Journal of Biological Sciences, Vol. 24, Issue 4 · 26 May 2024 · 4,761 accessesView PDFCite
Research ArticleOpen accessIn the abstractHMGD: A High-Accuracy Model for Detection and Prediction of Respiratory Genetic DiseasesKamal ElDahshan, Hesham Hefny, Iman Ahmed ElSayedRespiratory genetic diseases are considered a major participant in the reasons of death worldwide nowadays and were one of the major participants in helping in increasing the numbers of COVID-19 patients. It is considered one of the most alarming diseases affecting in particular the respiratory system. The journey of early detection of respiratory genetic diseases is considered to be very … …Journal of Computer Science, Vol. 20, Issue 6 · 30 Mar 2024 · 5,272 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 · 574 accessesView PDFCite
Review ArticleOpen accessIn the abstractMultidrug Resistant Microorganisms (MDR) and Biofilm Producers: A Challenge for Hospital Infectious ControlDaniel Lucio, Elizabeth Proaño, Alberto Bustillos et al.Antimicrobial Resistance (AMR) now represents a major threat to contemporary health care, especially in hospitals, where repeated antimicrobial exposure selects for and facilitates the dissemination of Multidrug-Resistant (MDR) microorganisms. Biofilm growth adds another layer of persistence by increasing microbial tolerance, supporting long-term colonization of medical devices, and worsening clinical and economic outcomes. This narrative review synthesizes evidence on MDR biofilm-forming … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 3 · 12 Sep 2026 · 774 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnsemble Learning for Proactive Detection of Network-Intrusion-Based Insurance FraudBenjamin Asubam Weyori, Selorm Kofi Tagbo et al.We propose an ensemble learning pipeline that proactively integrates Stacking Feature Embedding (SFE) with Principal Component Analysis (PCA) and tree-based ensembles to proactively detect insurance fraud originating from network intrusions. The main contributions are: (1) the novel integration of SFE-PCA as a meta-feature construction step for tabular network flow data; (2) a sensitivity analysis that justifies PCA reduction ratios used … …Journal of Computer Science, Vol. 22, Issue 7 · 16 Jul 2026 · 935 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Context-Aware Temporal Convolutional Network for Water Replacement Prediction in Catfish Biofloc Ponds With Imbalanced Event HandlingYaddarabullah, Inanpi Hidayati Sumiasih, Mutiara Dewi PuspitawatiWater replacement is a biologically critical yet under-automated decision in biofloc-based aquaculture systems. Mistimed actions can destabilize microbial ecosystems, elevate fish mortality, and compromise sustainability through excessive water usage. Traditional rule-based heuristics often fail to account for the nonlinear and multiscale dynamics of pond environments. To address this, we propose a Context-Aware Temporal Convolutional Network (CA-TCN), a rare-event classification framework … …Journal of Computer Science, Vol. 22, Issue 3 · 5 Mar 2026 · 1,664 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 · 1,442 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Hybrid Grey Wolf Optimizer and Deep Transfer Learning-Based Intrusion Detection System for IoTKapil Shrivastava, Manish Tiwari, Prasun ChakrabartiThe rapid proliferation of Internet of Things (IoT) devices has driven significant advancements in connectivity and automation, but it has also introduced substantial cybersecurity risks, including intrusions and cyberattacks. To address these challenges, this study proposes a hybrid intrusion detection framework that combines advanced optimization techniques with ensemble deep learning to enhance detection accuracy and computational efficiency. The proposed framework … …Journal of Computer Science, Vol. 22, Issue 2 · 17 Feb 2026 · 1,506 accessesView PDFCite
Research ArticleOpen accessIn the abstractClassifcation of Social Media Posts X For Mental Health Symptoms Identification Using NLP Techniques and Transformers ModelAndika Dwi Asmoro Wicaksono, RojaliThe increasing use of social media has enabled large-scale analysis of user-generated content to monitor mental health trends. This study focuses on sentiment prediction of mental health-related posts on platform X using transformer-based models, specifically IndoBERT, DistilBERT, and IndoRoBERTa. The goal is to evaluate the effectiveness of these models in classifying social media posts into positive, negative, and neutral sentiment … …Journal of Computer Science, Vol. 22, Issue 1 · 11 Feb 2026 · 1,851 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Lightweight and Privacy-Preserving Biometric Authentication Framework for Sustainable IoMT SystemsSaima Anwar Lashari, Mahmood A. Al-Shareeda et al.Biometric authentication provides secure, identity-bound access control for the Internet of Medical Things (IoMT), crucial for wearable, implantable, and ambient devices. However, the inherent immutability and sensitivity of biometric data pose severe privacy risks in the event of a breach. Furthermore, conventional public-key cryptography is often too computationally intensive for resource-constrained IoMT hardware. To address these challenges, this paper proposes … …Journal of Computer Science, Vol. 22, Issue 1 · 9 Feb 2026 · 1,924 accessesView PDFCite