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Research ArticleOpen accessIn the abstractStudy of the Anatomical, Morphological, and Phytochemical Properties of Conium maculatum L.Aigerim Abdygalieva, Meruyert Sakenovna Kurmanbayeva, Dina Karabalayeva et al.The aim of this study is to identify the characteristic anatomical and morphological features and analyze the phytochemical composition of Conium maculatum L. growing in the Almaty region, in order to assess the quality of the medicinal plant raw material. Detailed anatomical investigations were conducted, including microscopy of various plant organs (leaves, stems, and roots), as well as phytochemical analysis … …OnLine Journal of Biological Sciences, Vol. 25, Issue 2 · 23 Jun 2025 · 3,406 accessesView PDFCite
Research ArticleOpen accessIn the abstractXAI_MLPCNN: A Novel Explainable AI-Based Deep Learning Framework for Stress IdentificationFateh Bahadur Kunwar, Rakesh Kumar Yadav, Hitendra Singh, Nitin TripathiOver the past ten years, there has been a lot of emphasis focusedon the development of Artificial Intelligence (AI) and Machine Learning(ML)-based mental health treatments. To increase practitioners' and patients'trust in AI applications, AI systems need to explain their actions. This iscalled Explainable AI (XAI). While significant progress has been achievedin stress prediction models, XAI has not advanced as much. … …Journal of Computer Science, Vol. 21, Issue 5 · 6 May 2025 · 6,161 accessesView PDFCite
Research ArticleOpen accessIn the abstractSmart Tourism Design in Karangasem District Using Design Science Research ApproachHendro Nindito, Evaristus Didik Madyatmaja, Johan Hadi WijayaBy analyzing user needs and covering issues facing the regional tourism sector, this research seeks to create a smart tourism system for the Karangasem Regency. Extensive research, including surveys and interviews with a range of stakeholders, including visitors, local companies, and government representatives, served as a direction for the system's design and development. The research findings had a significant impact … …Journal of Computer Science, Vol. 21, Issue 3 · 7 Feb 2025 · 6,471 accessesView PDFCite
Research ArticleOpen accessIn the abstractMultimodal Face Expression Recognition Using Parametric Exponential Linear Unit-Long Short-Term MemoryKampa Ratna Babu, Akula Suneetha, Kampa Kanthi KumarMultimodal facial expression recognition combines information from multiple modalities of audio and video to achieve the required accuracy and robustness. By integrating different data sources, multimodal systems capture different aspects of human expression. However, accurately recognizing facial expressions across audio and video modalities causes challenges due to variations in expression representation. In this research, Parametric Exponential Linear Unit-Long Short-Term Memory … …Journal of Computer Science, Vol. 20, Issue 10 · 17 Aug 2024 · 4,612 accessesView PDFCite
Research ArticleOpen accessIn the abstractExperimental Assessment of Survival Rate of Artemia franciscana in Salt Waterbodies of Kazakhstan and Coexistence Possibility with the Local Species Artemia parthenogeneticaMoldir Aubakirova, Arailym Umirtayeva et al.The use of low-productive salt waterbodies for artemia production and increasing their productivity is a topical issue due to demands for Artemia cysts. One of the best representatives of Artemia, which will increase the productivity and value of low-productive salt waterbodies is Artemia franciscana. In this regard, the topically applied task is the experimental assessment of the survival rate of … …OnLine Journal of Biological Sciences, Vol. 24, Issue 4 · 30 Jul 2024 · 4,478 accessesView PDFCite
Research ArticleOpen accessIn the abstractFed-Deep CTRL (Light GBM)-Scalable, Interpretable, and Privacy-Preserving Federated Learning Framework for Wireless Intrusion Detection SystemSudaroli Vijayakumar, V. MuthumanikandanA learning-based intrusion detection system automates the understanding and reporting of network traffic information. The systems using neural networks and machine learning have demonstrated good detection accuracy, but the accuracy is entirely reliant on the type and volume of data. Additionally, there are issues with its scalability, privacy, efficiency, and interpretability. With the innovative fed-deep CTRL (light GBM) method, this … …Journal of Computer Science, Vol. 20, Issue 4 · 29 Feb 2024 · 5,321 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Hybrid Metaheuristic Algorithm for Diseases Classification Using UAV ImagesYagnasree Sirivella, Anuj JainRecent advances in technology are very astounding since they have made it possible to manage and monitor systems remotely. Traditional farming is undergoing a transition towards "smart farming" with the assistance of technological breakthroughs, which include the implementation of intelligent irrigation systems and the remote monitoring of the development of crops. In particular, the Unmanned Aerial Vehicle plays a significant … …Journal of Computer Science, Vol. 19, Issue 10 · 11 Sep 2023 · 5,251 accessesView PDFCite
Research ArticleOpen accessIn the abstractIoT Intrusion Detection using Auto-Encoder and Machine Learning TechniquesAhmed Ridha Khudhu, Khairulmizam SamsudinIoTnetwork refers to the capability of connecting smart and various devices to asingle network for the sake of performing a particular task. Similar toconventional networks, IoT networks are vulnerable to several attacks.Therefore, IoT Intrusion Detection has caught much research attention. Severalstudies have examined the task of intrusion detection for IoT networks. Withinsuch studies, the focus was set to accommodate a … …Journal of Computer Science, Vol. 18, Issue 10 · 27 Sep 2022 · 6,458 accessesView PDFCite
Review ArticleOpen accessIn the abstractZoo-Technical Features of Tabun Horses in Almaty Region of Republic of KazakhstanShynggys Assilbekov, Kairat Iskhan, Nursultan Japashov, Aidana OrynbassarovaThis work was attended to improve and show the comparative characteristics of exterior features, assessment of the constitutional type of horses, determination of the direction of the productive profile of mares bred in LLP "AKBOZ" of Almaty region. Horse meat obtained in herd horse breeding contains a high number of nitrogen-containing substances with a reduced content of intramuscular fat. Therefore, … …American Journal of Animal and Veterinary Sciences, Vol. 16, Issue 1 · 22 Jan 2021 · 6,916 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Efficient Cluster Head Selection in IoV-Enabled VANETs Using a Federated Diffusion Convolutional Recurrent Neural Networks FrameworkP Subhash, Madana Srinivas, A. Ranjith et al.The IoV enables the formation of VANETs that require a strong selection of CHs for effective communication within high-velocity changing traffic scenarios. Existing approaches often face issues related to scalability, privacy, and adaptability. To meet the aforementioned urgent needs, we design a decentralized scheme for intelligent CH selection based on Federated Learning with Diffusion Convolutional Recurrent Neural Networks (DCRNNs). According … …Journal of Computer Science, Vol. 22, Issue 10 · 1 Oct 2026 · 599 accessesView PDFCite