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Research ArticleOpen accessEvery word in the titleCuckoo Search Optimized Random Forest for Breast Cancer PrognosisPrasad S. Sase, Debabrata Swain, Shailesh KumarBreast cancer remains a major global health concern due to its high mortality rate, particularly when diagnosis occurs at an advanced stage. Accurate and early differentiation between benign and malignant tumors is therefore critical for improving patient outcomes. Conventional diagnostic practices largely depend on manual assessment and clinical expertise, which may lead to subjective variability in decision-making. To overcome this … …Journal of Computer Science, Vol. 22, Issue 1 · 31 Jan 2026 · 2,098 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Comparative Study of Informed and Uninformed Search Algorithm to Solve Eight-Puzzle ProblemWahyu Hidayat, Fitri Susanti, Dedy Rahman WijayaProblems in artificial intelligence can be solved using intelligent tracking methods through intelligent search mechanisms. Understandably, search algorithm performances are highly dependent on the problem solved. In this study, we evaluate and compare the performance of five uninformed and informed search (breadth-first search, depth first search, optimal search and best first search using two heuristic functions, namely mismatched tile and … …Journal of Computer Science, Vol. 17, Issue 11 · 3 Dec 2021 · 8,825 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleMining 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 accessEvery word in the titleA Conceptual Model for the E-Commerce Application Recommendation Framework using Exploratory SearchMohammed Mahmudur Rahman, Zulkifly Mohd Zaki, Najwa Hayaati Binti Mohd Alwi, Md. Monirul IslamThe users helped by the search engine for online transactions in e-commerce; nonetheless, there is still a lack of search interest from the user and online shopping intentions. To boost the user's search for product recommendations, use a search engine for the quest but not for purchasing purposes. Existing frameworks have some significant problems in the recommendation technology, such as … …Journal of Computer Science, Vol. 16, Issue 8 · 28 Aug 2020 · 7,160 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEnhanced Support Vector Machine based on Metaheuristic Search for Multiclass ProblemsAbdullah Saeed Ghareb, Mohammed Hamid Afif, Abdel-Rahman Hedar et al.Machine learning is an important field of artificial intelligent researches and it highly growing for real intelligent applications systems that relate brain computer interface to human brain activities. Support Vector Machine (SVM) is a popular machine learning approach, which can be used for pattern recognition, prediction and classification with many diverse applications. However, the SVM has many parameters, which have … …Journal of Computer Science, Vol. 16, Issue 7 · 9 Jul 2020 · 6,906 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleExploring a Flexible Scoring Scheme for a Heuristic Search Technique: A Case Study of University TimetablesSangsuree Vasupongayya, Warakorn Sitthirit, Suthon Sae-Wong, Thaniya KaosolThe university course timetabling management system is proposed in this work. The proposed system applies depth-bounded discrepancy search together with the heuristic and the hard-soft constraints to guide the search to a good solution space. To make the proposed system easy to use by a non-technical user, this work explores a scoring scheme including the effects of the ordering heuristics, … …Journal of Computer Science, Vol. 16, Issue 5 · 2 Jun 2020 · 7,359 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleUsing the Cuckoo Search for Generating New Particles in Particle Swarm Optimization AlgorithmFariaa Abdalmajeed Hameed, Harith Raad Hasan, Ahmed Abdullah Ahmed, Gulala Ali Hama AminThis study is focused on as Cuckoo Search (CS), one of the current meta-heuristic optimization algorithm. The CS algorithm is useful in generating and searching for the most optimum particles of important meta-heuristic optimization algorithm, known as the Particle Swarm Optimization (PSO), to enhance its performance. This optimization is confirmed through a benchmark online optimization and actual problems. The PSO … …Journal of Computer Science, Vol. 16, Issue 4 · 30 Apr 2020 · 7,441 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSEVQER: Automatic Semantic Visual Query Builder to Support Intelligent Image Search in Traffic ImagesHui-Hui Wang, Phei-Chin Lim, Yin-Chai Wang et al.Image search is a challenging process in the field of Content Based Image Retrieval (CBIR). Image search-by-example, search-by-keyword and search-by-sketch methods seldom provide user interface that allows user to accurately formulate their search intent easily. To overcome such issue, a novel image search interface-Semantic Visual Query Builder (SeVQer) is proposed as a non-verbal interface which allows user to drag and … …Journal of Computer Science, Vol. 14, Issue 7 · 6 Aug 2018 · 7,680 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDPSA: Deterministic Parallel Search Algorithm in Large DatabaseSami Qawasmeh, Arwa ZabianThe main goal of parallel processing is to reduce the complexity of finding a solution for a problem. In this study, we consider the problem of searching for multiple items at the same time in a large database. We propose a parallel search algorithm that reduces the searching time in comparison to binary search algorithm saving in that the time … …Journal of Computer Science, Vol. 13, Issue 9 · 6 Sep 2017 · 7,190 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEstimating the Claim Severity Distribution using Variable Neighborhood SearchKunjira Kingphai, Samruam ChongcharoenIn this study, Variable Neighborhood Search (VNS) is utilized to estimate the parameters of actual motor insurance claims data set and compared them obtained by the Moment Estimation Methods (MOM) and Maximum likelihood Estimation Method (MLE) which are known as a conscientious method. Then, the Kolmogorov-Smirnov test (K-S) is used to show how well the selected distribution fits the actual … …American Journal of Applied Sciences, Vol. 13, Issue 12 · 19 Dec 2016 · 7,326 accessesView PDFCite