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13 results for “Situation Prediction”
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Research ArticleOpen accessEvery word in the titleAn Adaptive Assessment and Prediction Mechanism in Network Security Situation AwarenessYu-Beng Leau, Ali Abdulrazzaq Khudher, Selvakumar Manickam, Samer Al-SalemNetwork intrusion attempts have reached an alarming level. Cisco's 2014 Security Report indicated that 50,000 network intrusions were detected and 80 million suspicious web requests were blocked daily. Hence, Intrusion Prevention System (IPS) had been chosen as a defence mechanism in many organizations. However, the University of South Wales reported that seven big-brand IPS had failed to detect and block … …Journal of Computer Science, Vol. 13, Issue 5 · 22 May 2017 · 8,349 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Combined Deep Learning Model with Attention Mechanism for Detection of Implant Manufacturer Using X-Ray ImagesAttar Mahay Sheetal, K. SreekumarShoulder replacement surgery is one of the invasive techniques in orthopedic disciplines that replaces dead shoulder joints with prostheses made from polyethylene and metal components. To perform the surgery, there is a need to know the implant accessories and manufacturer of the implant. Some problems arise in a situation where the patient experiences pain and shoulder malfunctions that need replacement, … …Journal of Computer Science, Vol. 21, Issue 6 · 12 Jun 2025 · 3,252 accessesView PDFCite
Review ArticleOpen accessIn the abstractCrime Prediction Using Machine Learning: A Comparative AnalysisAbdulrahman Alsubayhin, Muhammad Ramzan, Bander AlzahraniIn the past few years, Machine Learning (ML) methods have acquired extensive attention from researchers and even criminology practitioners for their potential in crime prediction and crime forecast. To date, many research studies have already been performed on crime prediction using machine learning techniques. Some common methods that have been used include KNNs, Decision trees, Naïve Bayes, and random forest, … …Journal of Computer Science, Vol. 19, Issue 9 · 29 Aug 2023 · 8,063 accessesView PDFCite
Research ArticleOpen accessIn the abstractCombination of Backward and Forward Approaches for Future Prediction by Business Intelligence ToolsMohammad Najjartabar Bisheh, Abbas Raissi, Saeedeh MokhtariBusiness intelligence tools now play an important role in data collection, processing and analyses of organizations. Managers may use outputs of such tools and make improved decisions. To provide an even better situation for managers, business intelligence tools may be used to predict future and display present and past statuses of the organization. Available business intelligence tools predict future based … …American Journal of Engineering and Applied Sciences, Vol. 14, Issue 1 · 15 Jan 2021 · 6,427 accessesView PDFCite
Research ArticleOpen accessIn the abstractExperimental Investigation on the Failure Mechanism of Bovine Bone by Three-point Bending TestsHua Li, Rujie Gao, Ruiqi Li et al.Bone damage is a common type of sport injury. The loading rate affects the type of fracture and the degree of soft tissue injury. In view of the problem of whole bone bending damage and failure, this paper introduces the test method of bovine bone bending and the mechanism of bending failure under different loading rates is analyzed through experimental … …American Journal of Biochemistry and Biotechnology, Vol. 16, Issue 3 · 10 Jul 2020 · 6,535 accessesView PDFCite
Research ArticleOpen accessIn the abstractAutomated Fall Armyworm (Spodoptera frugiperda, J.E. Smith) Pheromone Trap Based on Machine LearningSimon H. Chiwamba, Jackson Phiri, Philip O.Y. Nkunika et al.Maize is the main food crop that meets the nutritional needs of both humans and livestock in the sub-Saharan African region. Maize crop has in the recent past been threatened by the fall armyworm (Spodoptera frugiperda, J.E Smith) which has caused considerable maize yield losses in the region. Controlling this pest requires knowledge on the time, location and extent of … …Journal of Computer Science, Vol. 15, Issue 12 · 19 Dec 2019 · 8,364 accessesView PDFCite
Research ArticleOpen accessIn the abstractContext Aware Middleware Model for Handling Vehicular Safety IssuesArunkumar Thangavelu, R. A.K. SaravanaguruProblem statement: This study proposed a mathematical model for the existing framework InVANET; context prediction and simulation for vehicle safety. Approach: Markov process was used to model context and predict the states with the help of transition probability matrix. The context parameters were collected from CarSim simulator and inferred using JENA and SPARQL. Results: The longitudinal speed and lateral offset … …Journal of Computer Science, Vol. 8, Issue 8 · 12 Jul 2012 · 7,103 accessesView PDFCite
Research ArticleOpen accessIn the abstractAlgorithm Development for Measurement and Prediction the Traffic in Broad Band Integrated Service NetworksMohammad Al Rawajbeh, Ibrahim Mansi, Majed HussienProblem statement: In this study an effort had been made to develop an algorithm for traffic prediction and measurement for a wide use networks such as B-ISDN. Such algorithm should base on valuable parameters during the various stages of data elements transmission. The offered algorithm was expected to enforce the main sources of congestion problem in network. With this technique … …Journal of Computer Science, Vol. 6, Issue 10 · 10 Aug 2010 · 7,481 accessesView PDFCite
Research ArticleOpen accessIn the abstractUnbalance Quantitative Structure Activity Relationship Problem Reduction in Drug DesignD. Pugazhenthi, S. P. RajagopalanProblem statement: Activities of drug molecules can be predicted by Quantitative Structure Activity Relationship (QSAR) models, which overcome the disadvantage of high cost and long cycle by employing traditional experimental methods. With the fact that number of drug molecules with positive activity is rather fewer than that with negatives, it is important to predict molecular activities considering such an unbalanced … …Journal of Computer Science, Vol. 5, Issue 10 · 31 Oct 2009 · 6,704 accessesView PDFCite
EditorialOpen accessIn the abstractProtecting crop species from biotic and abiotic constraints in the era of Global Change: are we ready for this challenge?Marco Landi, Giovanni BenelliReliable and affordable supply of food is of crucial importance to the progress and stability of human societies. During the last century, we have assisted to an extraordinary increase of crop yields, especially for the most widespread and consumed crop species, such as rice, wheat, corn and soybean. The Broadbalk experiment, one of the oldest continuous agronomic experiments in the … …American Journal of Agricultural and Biological Sciences, Vol. 11, Issue 2 · 4 Jun 2016 · 8,399 accessesView PDFCite