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51 articles for “Multi Agent”
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Research ArticleOpen accessIn the keywordsAN AGENT BASED FRAMEWORK FOR SENTIMENT CLASSIFICATION OF ONLINE REVIEWS USING ONTOLOGYP. Kalaivani, K. L. ShunmuganathanIn this study, we design and develop an agent based framework for sentiment classification of online reviews using ontology. The book review ranking is based on the sentiment classification result. We propose a novel approach with the help of the JADE platform to solve problems by non-visual automatic sentiment classification. The description of book reviews ranking are generated from the … …Journal of Computer Science, Vol. 10, Issue 5 · 15 Jan 2014 · 6,744 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSystem Evolving using Ant Colony Optimization AlgorithmNada M.A. AL-SalamiProblem statement: The goal of automatic programming system is to create, in an automated way, a computer program that enables a computer to solve a problem. It is difficult to build an automatic programming system: They require carefully designed specification languages and an intimate knowledge base. Determine the relevance of mathematical system theory to the problems of automatic programming and … …Journal of Computer Science, Vol. 5, Issue 5 · 30 May 2009 · 7,516 accessesView PDFCite
Research ArticleOpen accessIn the abstractFL-CARE: Federated Learning-Based Contention-Aware and Energy-Balanced Routing for Dense FANETsHalimjon Khujamatov, Elyanora Jolimbetova et al.In dense multi-drone FANET environments, routing efficiency is often reduced due to constant competition for a wireless channel, frequent changes in network topology, and uneven energy consumption between UAV nodes. These factors lead to a decrease in the packet delivery ratio, an increase in delays on the busiest or most unstable routes, and a reduction in the total network lifespan. … …Journal of Computer Science, Vol. 22, Issue 8 · 13 Aug 2026 · 1,172 accessesView PDFCite
Research ArticleOpen accessIn the abstractMulti-Satellite Custody of Moving Ground TargetsDavid SchusterMaintaining persistent custody of ground targets from Low Earth Orbit (LEO) is a key challenge in space-based surveillance and reconnaissance. Traditional rule-based tasking strategies struggle with scalability as the number of assets and targets grows. In this paper, we present a centralized Reinforcement Learning (RL) approach using Proximal Policy Optimization (PPO) to coordinate four LEO satellites tasked with tracking two … …Journal of Computer Science, Vol. 22, Issue 3 · 25 Mar 2026 · 1,575 accessesView PDFCite
Review ArticleOpen accessIn the abstractStructural Barriers to the Deployment of AI Foundation ModelsHristo Hristov, Elena Somova, Emil FuchedzhievArtificial Intelligence (AI) foundation models excel at benchmarks but are not always cost-effective or successfully deployed in enterprise systems. This paper analyzes the failures in their deployment through interconnected structural components characterized by: Economic constraints (computational costs, memory, and latency that scale with increasing use of AI model services), cognitive constraints (related to training objectives that optimize plausibility rather than … …Journal of Computer Science, Vol. 22, Issue 10 · 5 Oct 2026 · 808 accessesView PDFCite
Research ArticleOpen accessIn the abstractColiforms Diversity and Antibiotic Resistance in Kazakhstan CheeseAnar Kuzeubayeva, Altay Ussenbayev, Ali Aydin et al.Coliform bacteria contaminate dairy products and pose public health concerns including food poisoning and toxemia. We aimed to determine the species diversity of coliforms and to evaluate the resistance to antibiotics of E. coli in various types of cheese sold by local producers in Kazakhstan. We collected 197 samples from different cheeses sold by producers in the Kostanay (n = … …American Journal of Animal and Veterinary Sciences, Vol. 19, Issue 2 · 22 Feb 2024 · 5,993 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Evaluation of Synergistic Antibacterial Effects in Blended Essential Oil against Gram-Positive and Gram-Negative PathogensMin-Gi Kwon, Jae Kyung KimThe rising emergence of multidrug-resistant bacteria has heightened the search for novel antibiotic agents. Essential Oils (EOs) are complex combinations of volatile organic compounds generated by plants, with many exhibiting significant antimicrobial properties. This study evaluates the antibacterial movement of single and blended EOs against representative gram-positive bacteria Staphylococcus aureus and Methicillin-Resistant S. aureus (MRSA) and gram-negative bacteria Escherichia coli … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 2 · 7 Jul 2025 · 5,481 accessesView PDFCite
Research ArticleOpen accessIn the abstractRoute Optimization using Hybrid GRU Learning Model for SDN and Edge-Based VANET TopologySavitha Kumar, Chandrasekar ChinnasamyIntelligent Transportation System (ITS) offersoutstanding features, including security applications and emergency alerts.Unfortunately, ITS limits traffic control services, adaptability, andadjustability due to the traffic volume. Hence, expanding the standard VehicularAd hoc Networks (VANET) framework is a requirement. As a result, in the latestdays, the concept of Software-Defined Networking based Vehicular Ad hocNetworks (SDN-VANETs) has drawn considerable attention, creating VANETssmarter. The SDN-VANETs … …Journal of Computer Science, Vol. 18, Issue 8 · 26 Aug 2022 · 6,160 accessesView PDFCite
Research ArticleOpen accessIn the abstractDominant Multidrug-Resistant Bacteria in Five Biggest Hospitals in Asir Region from March to June 2018Mohammed AlmaghrabiThere is a rapid increase in the emergence of multidrug resistance which consider as one of the public health threats in all over the world. MDR was defined as acquired non-susceptibility to at least one agent in three or more antimicrobial categories. The present study aims to determine the dominant multi-drug resistant bacteria in the five biggest hospitals in Asir … …American Journal of Infectious Diseases, Vol. 17, Issue 1 · 9 Mar 2021 · 6,782 accessesView PDFCite
Research ArticleOpen accessIn the abstractSTRATEGY PATTERNS PREDICTION MODELAram Baruch Gonzalez Perez, Jorge Adolfo Ramirez UrestiMulti-agent systems are broadly known for being able to simulate real-life situations which require the interaction and cooperation of individuals. Opponent modeling can be used along with multi-agent systems to model complex situations such as competitions like soccer games. In this study, a model for predicting opponent moves based on their target is presented. The model is composed by an … …Journal of Computer Science, Vol. 10, Issue 1 · 12 Nov 2013 · 6,854 accessesView PDFCite