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Research ArticleOpen accessIn the abstractTransverse Bed-Slope, Lateral Bed-Load Rate and Bed-Load Deviation Angle in Meandering Alluvial StreamsYoussef Ismail HafezA novel expression for the deviation angle of the bed-load discharge is developed which allows its distinction with the other deviation angles of the flow velocity and boundary shear stress. A transverse bed-slope equation is developed which compares very well with experimental data and field data at the Fall River and Muddy Creek, USA. Stream-wise computations are successfully performed of … …American Journal of Environmental Sciences, Vol. 20, Issue 1 · 9 Sep 2024 · 4,912 accessesView PDFCite
Research ArticleOpen accessIn the abstractCrime Rate Analysis and Mapping from Socio-Economic Data Using Deep Neural NetworksSanthosh Sankara, Nadeson SugithaCrime prediction is the attempt to identify and mitigate future criminal activity. Crime is typically "unpredictable"; it cannot be predicted in advance. Addressing the roots of crime has long been a priority for researchers. Extracting causality from data is difficult if the relevant data aspects are not selected. In this research activity, an innovative classification framework is defined which is … …Journal of Computer Science, Vol. 20, Issue 10 · 17 Aug 2024 · 5,089 accessesView PDFCite
Review ArticleOpen accessIn the abstractCirculating Immune Complexes as an Important Link between Inflammation and Lipid Alterations in AtherosclerosisAnastasia Vladimirovna Poznyak, Nikolay Alexandrovich Orekhov, Vasily Nikolaevich Sukhorukov et al.This review article rigorously investigates the emerging facets of atherosclerosis pathogenesis through an exhaustive examination of the existing data on the intricate interplay between lipid metabolism disorders and inflammation. A primary objective of this study is to thoroughly explore the role of Circulating Immune Complexes (CIC) as a pivotal indicator of this multifaceted interaction. The focus of this review centers … …OnLine Journal of Biological Sciences, Vol. 24, Issue 4 · 14 Aug 2024 · 3,926 accessesView PDFCite
Research ArticleOpen accessIn the abstractEpileptic Seizure Detection Using Integrated Decomposed Features from EEG SignalShupta Das, Suraiya Akter Mumu, M. A. H. Akhand, Md Abdus Samad KamalThe root cause of the seizure is a sudden abnormal excessive electrical discharge in the brain and it is an Epileptic Seizure (ES) when such abnormal electrical activity arises particularly for epilepsy. Recognizing ES is crucial for effective treatment as it often repeats and can lead to serious outcomes. Since epilepsy is a neurological issue, detecting ES by analyzing brain … …Journal of Computer Science, Vol. 20, Issue 10 · 8 Aug 2024 · 4,845 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeep Learning Approach to Mitigate DDoS Attacks in SDNHema Surendrakumar Dhadhal, Paresh Kotak, Parvez Faruki, Atul GonsaiThe rise of Distributed Denial of Service (DDoS) attacks remains a significant obstacle to network security and availability. This abstract presents a new hybrid model for DDoS mitigation in Software-Defined Networking (SDN) environments, combining a Semi-supervised Deep Extreme Learning Machine (Semi-Deep ELM) with a hybrid architecture. SDN's centralized control and programmability create an ideal platform for implementing advanced mitigation strategies. … …Journal of Computer Science, Vol. 20, Issue 9 · 5 Jul 2024 · 5,338 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing Semantic Web Retrieval Through Ontology-Driven Feature Extraction: A Novel PropositionMeer Hazar Khan, Muhammad Imran Sharif, Mehwish Mehmood et al.Web images represent unstructured data sets which often lead to challenges when users try to locate distinct images via text-based searches on the web. Such difficulties stem from different factors, e.g., redundant image storage, irrelevant metadata tags, and incorrect associations. To overcome this issue, we propose a semantic model based on the ontology language that enables users to find images … …Journal of Computer Science, Vol. 20, Issue 5 · 23 Feb 2024 · 5,562 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Improved Object Detection Technique for Hazard Avoidance SystemsSupreet Kaur Deol, P.W.C. Prasad, Abeer Alsadoon, A. ElchouemiHazard detection and avoidance at construction sites working with heavy equipment and moving vehicles is one of the biggest issues in modern surveillance. Background subtraction using a Gaussian Mixture Model (GMM) is widely utilized for identification of moving objects with most existing methods leading to improvements but lacking accuracy of object detection. This paper aims to improve accuracy and processing … …American Journal of Applied Sciences, Vol. 15, Issue 7 · 27 Sep 2018 · 8,195 accessesView PDFCite
Review ArticleOpen accessIn the abstractEnvironmental Concerns and Toxicogenetic Endpoints of Priority Substances (PSs) and Contaminants of Emerging Concerns (CECs): A Comprehensive ReviewDe-Sheng Pei, Chun-Di Chen, Naima Hamid et al.Priority Substance (PSs) and Contaminant of Emerging Concerns (CECs) exhibited a wide range of environmental and public health concerns worldwide. This review summarized the documented studies related to the current surface water occurrence, spatial distribution, ecological risks and toxicity of selected PSs, such as polycyclic aromatic hydrocarbons (PAHs) and CECs, such as Di(2-Ethylhexyl) Phthalate (DEHP) and Pharmaceuticals and Personal Care … …American Journal of Environmental Sciences, Vol. 14, Issue 3 · 10 Jul 2018 · 8,389 accessesView PDFCite
Research ArticleOpen accessIn the abstractCardiovascular Diseases Identification Using Wavelet Optimization and Modify Cuckoo Search AlgorithmBanit Negi, Abhilekh Bartwal, Agya Ram Verma et al.The problem the author aims to solve is the extraction of discriminatory features in ECG (Electrocardiogram) signals for classification purposes. The scope of the work is to propose a new method for building wavelets that best reflect the discriminatory capacity of ECG signals. The approach involves optimizing the wavelets specifically for the classification function under consideration. To address the problem, … …Journal of Computer Science, Vol. 19, Issue 8 · 3 Aug 2023 · 5,403 accessesView PDFCite
Research ArticleOpen accessIn the abstractDEACT: Hardware Solution to Rowhammer AttacksTesfamichael Gebregziabher Gebrehiwot, Fitsum Assamnew Andargie, Mohammed IsmailDynamic Random Access Memory (DRAM) is a crucial component in modern computing devices. Improvements in process technology have significantly increased the speed and storage capacity of memory devices. However, as memory cells become smaller and closer to one another, annoying circuit disturbance errors such as the Row-hammer problem have become significant. Studies show that attackers can systematically exploit such errors … …Journal of Computer Science, Vol. 19, Issue 7 · 22 Jun 2023 · 6,483 accessesView PDFCite