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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 Deep Learning Approach for Telugu Domain Identification with Multichannel LSTM-CNNBuddha Hari Kumar, Chitra Perumal, Inakoti Ramesh Raja et al.The vast growth of textual data has ushered into the limelight, a plethora of applications in information retrieval and natural language processing (NLP). Proper extraction of information from text is heavily dependent on recognizing the thematic content, which becomes crucial in the tasks of document summarization, information extraction, question answering, machine translation, and sentiment analysis. The great complexity of this … …Journal of Computer Science, Vol. 21, Issue 9 · 26 Nov 2025 · 2,395 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 · 1,481 accessesView PDFCite
Literature ReviewOpen accessIn the abstractAgricultural Farmers Training in Nepal: A Review of Social Work PerspectiveSom Nepali, Rajesh TamangSocial workers can mediate in the agricultural process on two crucial levels- first, it can familiarize the local people with the new technologies, information, training, available subsidies, and facilities either by the state or by institutions and organizations, secondly, it can use first-hand knowledge of the condition of the farmers to understand the need of the hour and convey the … …American Journal of Agricultural and Biological Sciences, Vol. 17, Issue 1 · 8 Oct 2022 · 6,040 accessesView PDFCite
Research ArticleOpen accessIn the abstractGenetics Polymorphisms of INHA in Local Goat Populations in South-West Sulawesi Region of IndonesiaMuhammad Ihsan Andi Dagong, Sri Rachma Aprilita Bugiwati, Lellah Rahim, Nurul PurnomoInhibin subunit alpha (INHA) is one important gene that control reproductive characteristics of animal. The aim of this research was to identify the genetic diversity of INHA gene of Kacang and Peranakan Etawa (PE) goat as local goat breed which were maintained by farmers at goat development centers in Sulawesi region, Indonesia. DNA samples were collected from 137 heads Kacang … …American Journal of Animal and Veterinary Sciences, Vol. 15, Issue 1 · 12 Mar 2020 · 7,273 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 abstractGrowth Performance and Duodenal Morphometry of 1-6 Week Old Kampung Chickens Supplemented With L-LeucineCharles Venirius Lisnahan, Steffanie Merlin Clyricia Noach, Lukas Pardosi, Theresia Nur Indah KoniThis study evaluated the effects of dietary L-leucine supplementation on growth performance and duodenal morphometry of Kampung chickens during the starter phase (1–6 weeks). A total of 600 one-week-old Kampung chickens were randomly assigned to five dietary treatments with six replicates of 20 birds each in a completely randomized design. The treatments consisted of a basal diet without L-leucine (T0) … …American Journal of Animal and Veterinary Sciences, Vol. 21, Issue 3 · 11 Sep 2026 · 904 accessesView PDFCite
Research ArticleOpen accessIn the abstractSeasonal Pattern of Varroa Mite Infestation and Its Impact on Honey Production in Apis mellifera Beekeeping in Chitwan, NepalSujan Amgai, Kedar DevkotaHoneybee colony health and productivity are severely affected by infestations of Varroa mites, which have become one of the most significant threats to apiculture due to their role in colony weakening, reduced productivity, and increased colony losses worldwide. The study was conducted in Chitwan district to assess beekeepers’ perceptions on mite infestation in different seasons, its effect on honey production, … …American Journal of Agricultural and Biological Sciences, Vol. 21, Issue 1 · 14 Aug 2026 · 1,234 accessesView PDFCite
Research ArticleOpen accessIn the abstractImplementing a Hybrid VMD–BiTCN–BiGRU Architecture With Intelligent Optimization for Agricultural Commodity Price Prognostication in Gujarat MarketsJignesh Hirapara, Ratnesh Kumar Namdeo, Ankit Kumar Dubey et al.In the agricultural sector, the prices of pulses require adequate forecasting to plan farming activities, store and market, and guide policy-making. However, the pulse price series is highly volatile, seasonal, nonstationary, and nonlinear, and thus conventional linear time series models are not necessarily very effective. In the suggested framework, the raw price data series is decomposed using Variational Mode Decomposition … …Journal of Computer Science, Vol. 22, Issue 7 · 1 Aug 2026 · 1,021 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Explainable AI (XAI) Framework for Intrusion Detection and Identification to Secure IoT NetworksVibhor Harit, Rajeev Dahiya, Umang Garg, Anil KumarThe Internet of Things (IoT) encompasses a wide range of applications from wearable devices to smart homes, as well as industrial automation and smart cities. As IoT networks and devices continue to grow rapidly, security has become crucial. There are many techniques utilized to provide security aspects in IoT networks. These security aspects focus on mitigating risks and fixing vulnerabilities … …Journal of Computer Science, Vol. 22, Issue 7 · 23 Jul 2026 · 1,005 accessesView PDFCite