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Research ArticleOpen accessIn the keywordsRectangular Storm Sewer Design Under Equal Sediment MobilityJaber AlmedeijRectangular storm sewers are conduits delivering water to outfall locations and have sizes that are typically larger than standard pipes, by which they become subject to more sediment deposits during operation and thus require higher flow strengths to maintain the bed clean. This study suggests a design procedure of self-cleansing rectangular sewers based on maintaining a lower limit of Shields … …American Journal of Environmental Sciences, Vol. 8, Issue 4 · 19 Jun 2012 · 7,758 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdaptive Data Transformation for Enhanced Clustering Performance in Diagnostic SystemsMohammed Subhi Al-BatahThis paper presents an enhanced approach to the Balanced Iterative Reducing and Clustering using Hierarchies (BIRCH) algorithm, aimed at improving clustering accuracy in medical data, specifically for breast cancer diagnosis. The proposed method introduces a modified data transformation technique to optimize the original BIRCH algorithm. This transformation refines the clustering process, resulting in significant improvements in diagnostic accuracy. The modified … …Journal of Computer Science, Vol. 21, Issue 9 · 17 Oct 2025 · 2,294 accessesView PDFCite
Research ArticleOpen accessIn the abstractApplication of Data Enhancement Method Based on Generative Adversarial Networks for Soybean Leaf Disease IdentificationXiao Yu, Cong Chen, Qi Gong, Lina LuSoybean leaf disease data collection is an expensive and time-consuming task. Convolutional neural network training requires a large amount of data, but traditional data enhancement methods (such as rotation, flipping, translation) are restricted by fixed rules and cannot generate images with diversity and variability. Aiming at the problem of the lack of soybean leaf disease data set, this study proposes … …American Journal of Biochemistry and Biotechnology, Vol. 18, Issue 4 · 26 Nov 2022 · 5,208 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Blockchain-Enabled Scalable Network Log Management SystemMohammad Habibullah Rakib, Showkot Hossain, Mosarrat Jahan, Upama KabirLog data is an essential tool to identify the footprint of unauthorized activities executed in a network system. Hence, a compact storage mechanism is required for the massive volume of log data to protect them from malicious tampering attacks. In this regard, Blockchain (BC) has been used to design tamper-proof storage of log records. However, the existing BC-based solutions cannot … …Journal of Computer Science, Vol. 18, Issue 6 · 15 Jun 2022 · 7,181 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffect of Protein Feed Additives on Skin and Fur Quality of American MinkPavel Nikolayevich Abramov, Olga Fedorovna Chernova, Nikolai Aleksandrovich Balakirev et al.The purpose of the research is to study the effect of hydrolysates on the skin and fur quality. To assess morphological parameters of skin, as well as the commercial characteristics of the raw materials obtained, we formed three groups (one control and two experimental) of 3-month-old males (25 animals in each group) and females (50 animals in each group). Control … …American Journal of Animal and Veterinary Sciences, Vol. 17, Issue 1 · 5 Feb 2022 · 6,513 accessesView PDFCite
Research ArticleOpen accessIn the abstractSemen Quality and Artificial Insemination Efficacy Using Sericin-Silica-Phosphate-CuO Hydrogel in Thin-tailed SheepEnike Dwi Kusumawati, I Wayan Karyasa, Duran Corebima Aloysius et al.Artificial Insemination (AI) in livestock is increasingly demanded because it greatly affects the productivity and quality of livestock. AI should be supported by advanced material chemistry, especially organic-inorganic hybrid biomaterials. We aimed to produce a prototype of renewable advanced biomaterial technology in the form of Sericin-Silica-Phosphate (SER-SI-PO) hydrogel reinforced with Copper Nanoparticles (CuNPs) and its application in AI. The testing … …American Journal of Animal and Veterinary Sciences, Vol. 20, Issue 2 · 10 Jun 2025 · 3,855 accessesView PDFCite
Research ArticleOpen accessIn the abstractLSTM-Based AI Model for Sinkhole Attack Detection With Legal Basis in an Ecuadorian Public InstitutionEstefanía Alejandra Mora Parra, Rubén Nogales Portero, Moisés Toapanta T. et al.Wireless Sensor Networks (WSN) are an essential component of the Internet of Things (IoT). However, their decentralized nature, data transmission over unencrypted channels, and the physical exposure of nodes make them especially vulnerable to attacks, among which the sinkhole attack stands out. This research aims to develop a machine learning–based model to detect sinkhole‐type attacks in wireless sensor networks, with … …Journal of Computer Science, Vol. 22, Issue 3 · 4 Mar 2026 · 1,659 accessesView PDFCite
Research ArticleOpen accessIn the abstractStock Closing Price Forecasting Using LSTM, Sentiment Analysis, Kalman FilterAssel Abdildayeva, Galymzhan Nurtugan, Guldana Taganova, Ardak AkhmetovaThe article explores the problem of predicting the closing prices of stocks using an innovative approach that combines methods of machine learning, sentiment analysis and noise filtering. The focus is on the development and testing of a comprehensive model that integrates recurrent neural networks (LSTM) for time series analysis, the GPT-3 language model for processing and analyzing textual data from … …Journal of Computer Science, Vol. 20, Issue 11 · 4 Sep 2024 · 6,266 accessesView PDFCite
Research ArticleOpen accessIn the abstractPrediction of Data Traffic in Telecom Networks based on Deep Neural NetworksQuang Hung Do, Thi Thanh Hang Doan, Thi Van Anh Nguyen et al.Accurate prediction of data traffic in telecom network is a challenging task for a better network management. It advances dynamic resource allocation and power management. This study employs deep neural networks including Long Short-Term Memory (LSTM) and Gated Recurrent Units (GRU) techniques to one-hour-ahead forecast the volume of expected traffic and compares this approach to other methods including Adaptive Neuro-Fuzzy … …Journal of Computer Science, Vol. 16, Issue 9 · 30 Sep 2020 · 8,071 accessesView PDFCite
Research ArticleOpen accessIn the abstractMethodological Approach to Developing a Model of Interference-Free Processing of Multichannel Records of the Electrical Cardiological Impulse to Determine Episodes of Cardiac Muscle IschemiaSergey Alexandrovich Sheptunov, Alexander Nikolaevich Muranov, Abas Khasanovich Lampezhev, Tagirbek Gaidarbekovich AslanovThis study considered a set of topical issues aimed at improving the methodology of the early recognition of episodes of myocardial ischemia. It aims to solve a set of problems in the substantiation and development of a methodological approach for building a model of interference-free processing of multichannel electrocardio signal recordings. Based on theoretical and experimental studies, this will create … …Journal of Computer Science, Vol. 21, Issue 5 · 14 Apr 2025 · 4,922 accessesView PDFCite