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
Research ArticleOpen accessIn the abstractA Prediction Model for Information Anxiety of CSs Based on CMA-ES and XGBoostBin Wang, Li ShaoWith the rapid advancement of information technology, college students are increasingly facing the problem of information overload. Information anxiety, an emerging mental health issue, significantly impacts their studies, daily lives, and mental well-being. Given the limitations of existing methods in handling complex nonlinear relationships and high-dimensional data, this study proposes an efficient and accurate prediction model for college students’ information … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 1 · 21 Apr 2026 · 1,695 accessesView PDFCite
Research ArticleOpen accessIn the abstractMining Sports Articles using Cuckoo Search and Tabu Search with SMOTE Preprocessing TechniqueWaheeda AlmayyanSentiment analysis is one of the most popular domains for natural language text classification, crucial for improving information extraction. However, massive data availability is one of the biggest problems for opinion mining due to accuracy considerations. Selecting high discriminative features from an opinion mining database is still an ongoing research topic. This study presents a two-stage heuristic feature selection method … …Journal of Computer Science, Vol. 17, Issue 3 · 12 Mar 2021 · 6,534 accessesView PDFCite
Research ArticleOpen accessIn the abstractQuay Crane Scheduling in Container Terminals Using a Hybrid Genetic AlgorithmAidi Sanaa, Torbi Imane, Mazouzi MohamedContainer terminals are crucial nodes within the global supply chain, playing a vital role in the efficient movement of goods. Effective scheduling of Quay Cranes (QCs) is a key factor in maximizing port productivity and minimizing delays. This research investigates the Quay Crane Scheduling Problem (QCSP) using a Hybrid Genetic Algorithm (HGA). The proposed HGA method combines the exploratory power … …Journal of Computer Science, Vol. 21, Issue 1 · 26 Dec 2024 · 6,007 accessesView PDFCite
Research ArticleOpen accessIn the abstractVoronoi Partition to Support Data Search in Uncertain Database with k-Bound FilteringSlamet Sudaryanto Nurhendratno, Sudaryanto, Solichul HudaWith the development of mobile technology, one of its main functions is to have mobile navigation capabilities, this is one of the Location-Based Services (LBS). Mobile navigation is designed as a mobile device to be able to monitor access objects from users. Because of the mobile characteristic, the impact on the points of objects to be found always occur a … …Journal of Computer Science, Vol. 16, Issue 12 · 22 Dec 2020 · 6,645 accessesView PDFCite
Research ArticleOpen accessIn the abstractCharacteristics of Antagonistic Activity of Two Trichoderma Species New to Kazakhstan Against Soil PathogensYelena Rakhimova, Assem Assylbek, Lyazzat Kyzmetova et al.The high efficiency of representatives of the Trichoderma genus in suppressing a wide range of plant pathogens contributes to the conduct of large-scale research on the search for local strains. The purpose of this study is to characterize the antagonistic activity of two Trichoderma species new to Kazakhstan (T. pararogersonii and T. rossicum) isolated from the rhizosphere of Picea schrenkiana … …OnLine Journal of Biological Sciences, Vol. 23, Issue 4 · 17 Oct 2023 · 4,456 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 abstractEnrolment and Matching of Fingerprints using Minutiae TreePraseetha V.M., S. VadivelAutomated fingerprint matching is considered as the most challenging phase of fingerprint recognition since it can be affected by a variety of factors such as noise, skin condition, rotation, distortions and displacements. When there is a large database, the search time to get a matching fingerprint will be relatively high. To reduce the searching time in the database, we have … …Journal of Computer Science, Vol. 15, Issue 3 · 15 Mar 2019 · 7,566 accessesView PDFCite