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Research ArticleOpen accessIn the keywordsInteger Factorization: Solution via Algorithm for Constrained Discrete Logarithm ProblemBoris S. VerkhovskyProblem statement: During the last thirty years many public-key cryptographic protocols based on either the complexity of integer factorization of large semiprimes or the Discrete Logarithm Problem (DLP) have been developed. Approach: Although several factorization algorithms with sub-exponential complexity have been discovered, the recent RSA Factoring Challenge demonstrated that it was still necessary to use several thousand computers working in … …Journal of Computer Science, Vol. 5, Issue 9 · 30 Dec 2009 · 7,156 accessesView PDF Cite

Review ArticleOpen accessIn the abstractA Systematic Review of Artificial Intelligence and Deep Learning Approaches for Cocoa Pod Disease DetectionHenry Techie-Menson, Michael Asante, Yaw Marfo Missah et al.Cocoa pod diseases destroy an estimated 700,000 metric tons of cocoa annually, threatening 40–50 million smallholder farmers across tropical regions. Accurate field diagnosis remains constrained by symptom similarity, labour-intensive scouting, and limited specialist access in remote communities. This paper presents a PRISMA-guided systematic review of 25 peer-reviewed studies on automated cocoa pod disease detection and classification (2016–2026), addressing architectural approaches, … …Journal of Computer Science, Vol. 22, Issue 8 · 8 Sep 2026 · 733 accessesView PDF Cite

Research ArticleOpen accessIn the abstractFully Retroactive Priority Queues using Persistent Binary Search TreesJoseWagner de Andrade Junior, Rodrigo Duarte SeabraClassic dynamic data structures maintains itself subject to sequence S of operations and answer queries using the latest version of the data structure. Retroactive data structures are those which allow making a modification or a query in any version of this data structure through its timeline. These data structures are used in some geometric problems and in problems related with … …Journal of Computer Science, Vol. 16, Issue 7 · 14 Jul 2020 · 7,006 accessesView PDF Cite

Research ArticleOpen accessIn the abstractAn Elite Pool-Based Big Bang-Big Crunch Metaheuristic for Data ClusteringIbrahim Al-Marashdeh, Ghaith M. Jaradat, Masri Ayob et al.This paper delves into the capacity of enhanced Big Bang-Big Crunch (EBB-BC) metaheuristic to handle data clustering problems. BB-BC is a product of an evolution theory of the universe in physics and astronomy. Two main phases of BB-BC are big bang and big crunch. The big bang phase involves a creation of a population of random initial solutions, while in … …Journal of Computer Science, Vol. 14, Issue 12 · 19 Jun 2018 · 7,879 accessesView PDF Cite

Research ArticleOpen accessIn the abstractSentimental Analysis on Health-Related Information with Improving Model Performance using Machine LearningWael M.S. Yafooz, Abdullah AlsaeediSocial media platforms are extensively used in exchanging and sharing information and user experience, thereby resulting in massive outspread and viewing of personal experiences in many fields of life. Thus, informative health-related videos on YouTube are highly perceptible. Many users tend to procure medical treatments and health-related information from social media particularly from YouTube when searching for chronic illness treatments. … …Journal of Computer Science, Vol. 17, Issue 2 · 22 Feb 2021 · 7,460 accessesView PDF Cite