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Research ArticleOpen accessPhrase in the titleA MOBILE AGENT BASED INTRUSION DETECTION SYSTEM ARCHITECTURE FOR MOBILE AD HOC NETWORKSBinod Kumar Pattanayak, Mamata RathApplications of Mobile Ad Hoc Networks (MANETs) have become extensively popular over the years among the researchers. However, the dynamic nature of MANETs imposes a set of challenges to its efficient implementation in practice. One of such challenges represents intrusion detection and prevention procedures that are intended to provide secured performance of ad hoc applications. In this study, we introduce … …Journal of Computer Science, Vol. 10, Issue 6 · 28 Jan 2014 · 7,267 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleSECURITY IN VEHICULAR AD HOC NETWORK BASED ON INTRUSION DETECTION SYSTEMOmkar Pattnaik, Binod Kumar PattanayakImplementation of mobile ad hoc networks has eventually captured practically most of the parts of day-to-day life. One variation of such networks represents the Vehicular Ad Hoc Networks (VANETs), widely implemented in order to control day-to-day road traffic. The major concern of VANETs is oriented around providing security to moving vehicles that makes it possible to reduce accidents and traffic … …American Journal of Applied Sciences, Vol. 11, Issue 2 · 27 Dec 2013 · 7,022 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleIntrusion Preventing System using Intrusion Detection System Decision Tree Data MiningSyurahbil, Noraziah Ahmad, M. Fadly Zolkipli, Ahmed N. AbdallaProblem statement: To distinguish the activities of the network traffic that the intrusion and normal is very difficult and to need much time consuming. An analyst must review all the data that large and wide to find the sequence of intrusion on the network connection. Therefore, it needs a way that can detect network intrusion to reflect the current network … …American Journal of Engineering and Applied Sciences, Vol. 2, Issue 4 · 31 Dec 2009 · 7,337 accessesView PDFCite
Review ArticleOpen accessEvery word in the titleA 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 PDFCite
Research ArticleOpen accessEvery word in the titleREVIEW ON MULTI-AGENT SYSTEM COLLABORATION IN LEARNING MANAGEMENT SYSTEM DOMAIN BY DEPLOYING WIRELESS SENSOR NETWORKS FOR STUDENT LOCATION DETECTIONA. K. Mwinyi, S. A.R. AL-Haddad, S. J. Bin Hashim, R. Bin Hj AbdullahStudent location detection in Learning Management System (LMS) by utilizing Multi-Agent System (MAS) which contains sensor nodes is a new area of research. This study reviews several studies to ascertain the potential of integrating these two technologies to automate students’ class attendance in Higher Learning Institutions (HLIs). Currently, the HLIs are using paper-based process to record students’ attendance in the … …Journal of Computer Science, Vol. 10, Issue 6 · 30 Jan 2014 · 7,677 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDEVELOPMENT OF A MACHINE VISION SYSTEM FOR WEED DETECTION DURING BOTH OF OFF-SEASON AND IN-SEASON IN BROADACRE NO-TILLAGE CROPPING LANDSHuajian Liu, Sang Heng Lee, Chris SaundersMore than half of the Australian cropping land is no-tillage and weed control within continuous no-tillage agricultural cropping area is becoming more and more difficult. A major problem is that the heavy herbicide usage causes some of more prolific weeds becoming more resistant to the regular herbicides and therefore more powerful and more expensive options are being pursued. To overcome … …American Journal of Agricultural and Biological Sciences, Vol. 9, Issue 2 · 29 Jan 2014 · 8,112 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleOptimized YOLOv8 for Insect Detection in Agricultural Farms Using Edge Vision SystemsDeebalakshmi R., Adhithyaa S., Yoga Vignesh V., Balaji Ganesh RajagopalFarmers started to adopt smart gadgets like automated pest detection and kiosks for their work in light of the AI revolution in agriculture. These kinds of technologies help farmers identify pest infestations early, which allows the farmers to take action accordingly and prevent crop loss. This results in improvement in both yield and sustainability. However, running an advanced model such … …Journal of Computer Science, Vol. 21, Issue 11 · 28 Jan 2026 · 2,640 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleOptimizing KNN for Face Recognition and Location Detection in Mobile Employee Attendance Systems Using Machine LearningPainem, Hari Soetanto, Achmad Solichin, Ibnu RamadhanEmployee attendance is critical to company operations, particularly for firms involved in ATM installations collaborating with banks. An effective attendance system enables bank vendors to verify the completion of ATM installations. The current attendance method employed by the company requires employees to send photos of themselves with the installed ATM, including the machine number and installation location. The company's admin … …Journal of Computer Science, Vol. 21, Issue 5 · 14 Apr 2025 · 5,989 accessesView PDFCite
Review ArticleOpen accessEvery word in the titleAI-Based Techniques for DDoS Attack Detection in WSN: A Systematic Literature ReviewMohammed Al-Naeem, Mohammed Ashikur Rahman, Adamu AbuBakar Ibrahim, M.M. Hafizur RahmanWireless Sensor Networks (WSNs) are currently being used in various industries such as healthcare, engineering, the environment and so on. Security is a significant issue for WSN due to its infrastructure and limited physical security. Distributed Denial of Service (DDoS) is one of the most vulnerable attacks that can be defined as attacks launched from multiple ends into a set … …Journal of Computer Science, Vol. 16, Issue 6 · 29 Jun 2020 · 8,375 accessesView PDFCite