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255 articles for “hybrid approach”
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Research ArticleOpen accessEvery word in the titleAnimal 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 · 1,488 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAnimal Health Prediction Using Hybrid KNN Based Vector Neighbor Classification Model: A Machine Learning ApproachJ. Rathi, A. SumathiAnimal condition disease prediction is a crucial task in veterinary medicine, and accurate prediction can significantly improve animal health and reduce economic losses. This paper proposed a novel hybrid classification model that combines an Improved Fuzzy-based feature selection process with a Hybrid KNN-based Vector Neighbor Classification model to enhance animal condition disease prediction. The proposed model aims to improve the … …Journal of Computer Science, Vol. 21, Issue 9 · 21 Oct 2025 · 2,905 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleHybrid SIFT-DCT Approach for Face Matching of BuddhaStatues: Addressing Negative Similarity Metrics with SHashingLinda Marlinda, Fikri Budiman et al.Art and cultural heritage rely on image processing techniques forpreservation and analysis. A key challenge in this study is accuratelydetecting highly similar Buddha faces despite variations in lighting, rotation,and minor facial differences. This paper proposes a Content-Based ImageRetrieval (CBIR) framework that integrates Discrete Cosine Transform(DCT) and Scale-Invariant Feature Transform (SIFT) to enhance face-matching accuracy. The system is tested on a … …Journal of Computer Science, Vol. 21, Issue 7 · 29 Jul 2025 · 3,493 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleHydrological Forecasting Using Hybrid Data-Driven ApproachYoungmin Seo, Sungwon KimThis study develops a hybrid model, EEMD-FANN, coupling feed Forward Artificial Neural Network (FANN) and Ensemble Empirical Mode Decomposition (EEMD) for improving the accuracy of daily river stage forecasting. An original river stage data is broken down into a residue and Intrinsic Mode Functions (IMFs) using the EEMD and different FANNs are developed as forecasting models for the decomposed IMFs … …American Journal of Applied Sciences, Vol. 13, Issue 8 · 2 Sep 2016 · 8,140 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA HYBRID METHOD USING LEXICON-BASED APPROACH AND NAIVE BAYES CLASSIFIER FOR ARABIC OPINION QUESTION ANSWERINGKhalid Khalifa, Nazlia OmarOpinion Question Answering (Opinion QA) is the task of enabling users to explore others opinions toward a particular service of product in order to make decisions. Arabic Opinion QA is more challenging due to its complex morphology compared to other languages and has many varieties dialects. On the other hand, there are insignificant research efforts and resources available that focus … …Journal of Computer Science, Vol. 10, Issue 10 · 13 May 2014 · 7,880 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Fast Hybrid Algorithm Approach for the Exact String Matching Problem Via Berry Ravindran and Alpha Skip Search AlgorithmsAbdulwahab Ali AlmazroiProblem statement: String matching algorithm had been an essential means for searching biological sequence database. With the constant expansion in scientific data such as DNA and Protein; the development of enhanced algorithms have even become more critical as the major concern had always been how to raise the performances of these search algorithms to meet challenges of scientific information. Approach: … …Journal of Computer Science, Vol. 7, Issue 5 · 7 May 2011 · 7,403 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAn Independent Rough Set Approach Hybrid with Artificial Bee Colony Algorithm for Dimensionality ReductionNambiraj Suguna, Keppana Gowder ThanushkodiProblem statement: Dimensionality reduction is viewed as an important pre-processing step for pattern recognition and data mining. As the classical rough set model considers the entire attribute set as a whole to find the subset, comparing all possible combinations of sets of attributes is difficult. Approach: In this study, we have introduced an improved Rough Set-based Attribute Reduction (RSAR) namely … …American Journal of Applied Sciences, Vol. 8, Issue 3 · 25 Mar 2011 · 8,342 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Hybrid Architecture Approach for Quantum AlgorithmsMohammad Reza Soltan Aghaei, Zuriati Ahmad Zukarnain, Ali Mamat, Hishamuddin ZainuddinProblem statement: In this study, a general plan of hybrid architecture for quantum algorithms is proposed. Approach: Analysis of the quantum algorithms shows that these algorithms were hybrid with two parts. First, the relationship of classical and quantum parts of the hybrid algorithms was extracted. Then a general plan of hybrid structure was designed. Results: This plan was illustrated the … …Journal of Computer Science, Vol. 5, Issue 10 · 31 Oct 2009 · 6,983 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAPPLYING A HYBRID POLLING APPROACH BY SOFTWARE IMPLEMENTATION TO EXTEND THE LIFETIME OF A WIRELESS SENSOR NETWORKInácio Henrique Yano, Vitor Chaves de Oliveira, Mauricio Becker, Andreiwid Sheffer CorreaWireless Sensor Networks are networks suitable for data collection in harsh environments, where it would be difficult or costly the deployment of wired infrastructure. In spite of these advantages, such networks often rely on batteries to operate, which may lead to a serious limitation on the networks lifetime. Bearing this in mind, in this article is proposed and tested a … …Journal of Computer Science, Vol. 11, Issue 4 · 24 Jul 2015 · 7,020 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Misuse and Anomaly Intrusion Detection System Using Hybrid Supervised and Unsupervised Data Mining ApproachesHoma Molavi, Mohammad KhanbabaeiIntrusion Detection Systems (IDSs) play a crucial role in monitoring computer network security. Data mining and machine learning techniques facilitate the identification of intrusion patterns within large volumes of data. Hybrid data mining models have become increasingly popular in IDSs due to their enhanced effectiveness. This study presents a novel hybrid IDS that combines misuse and anomaly detection by integrating … …Journal of Computer Science, Vol. 22, Issue 6 · 6 Jul 2026 · 1,011 accessesView PDFCite