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117 results for “network DEA”
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Research ArticleOpen accessEvery word in the titleDENIAL OF SERVICE ATTACK IN DISTRIBUTED WIRELESS NETWORK BY DISTRIBUTED JAMMER NETWORK: A BIRTH-DEATH RANDOM PROCESS ANALYSISR. Dhanasekaran, G. SingaravelLarge number of low power, tiny radio jammers are constituting a Distributed Jammer Network (DJN) is used nowadays to cause a Denial of Service (DoS) attack on a Distributed Wireless Network (DWN). Using NANO technologies, it is possible to build huge number of tiny jammers in millions, if not more. The Denial of Service (DoS) attacks in Distributed Wireless Network … …Journal of Computer Science, Vol. 10, Issue 8 · 7 Mar 2014 · 6,802 accessesView PDFCite
Research ArticleOpen accessIn the keywordsNetwork Data Envelopment Analysis Model for Estimating Efficiency and Productivity in UniversitiesMohammad Mahallati Rayeni, Faranak Hosseinzadeh SaljooghiProblem statement: The aim of this study was to compute disaggregate performance measures of universities. The traditional models for Data Envelopment Analysis (DEA) type performance measurement are based on thinking about production as a "black box". Inputs are transformed in this box into outputs. One of the drawbacks of these models is the neglect of linking activities. Approach: Network DEA … …Journal of Computer Science, Vol. 6, Issue 11 · 23 Oct 2010 · 7,880 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDistribution, Arrangement and Interconnectedness of Cell Surface Receptor sites in the body of an OrganismUtoh-Nedosa, Uchechukwu AnastasiaCell surface receptors have been identified as the sites of disease infectivity in living organisms in a previous study. Drugs used for the treatment or cure of infections have to eliminate infections through attacking infective organisms at the cell surface receptors to which the infective organisms are attached. Problem statement: The present study examines a wide sample of living things … …OnLine Journal of Biological Sciences, Vol. 11, Issue 4 · 26 Jan 2012 · 7,355 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEfficient Detection of Palm and Hand Landmark for Speech Impaired People Using Mediapipe ModelSharmila Rathod, Nilesh Rathod, Nilesh Marathe et al.Human-machine interaction may be a basic figure in this age of touch-screen gadgets. Numerous gadgets are being created that can be worked without touching the system. So, in this consideration, how to function the framework utilizing signals instead of touching it appears. The point of this study is to create different communication procedures between humans and individual computers that would … …Journal of Computer Science, Vol. 20, Issue 9 · 24 Jun 2024 · 5,415 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
Research ArticleOpen accessIn the abstractPersonalized Recommendation System: Web of Things Using Modular Density-Based Community DiscoveryVinod Patidar, Jayashree A. Patil, Sonika Thapak et al.Community discovery is the cornerstone and core of study in customized recommendation, assembling group features and social network analysis on the web of things. Conventional community discovery methods, however, struggle with difficulties including low accuracy, delayed convergence, modularity resolution limits and more when dealing with more complicated social networks. Because of this, differential evolution and module density are included in … …Journal of Computer Science, Vol. 20, Issue 9 · 21 Jun 2024 · 5,628 accessesView PDFCite
Research ArticleOpen accessIn the abstractGrasshopper Optimization Algorithm-Generative Adversarial Network for Lung Cancer Detection and ClassificationSukruth Gowda, A JayachandranLung cancer is one of the most dangerous deadly diseases for individuals worldwide. Thus, the survival rate is low due to the difficulty in detecting lung cancer at advanced stages like symptoms; thus, prominence for early diagnosis is important. The detection and treatment of lung cancer is having great importance for early diagnosis. The existing Convolution Neural Network (CNN) based … …Journal of Computer Science, Vol. 18, Issue 3 · 9 Apr 2022 · 6,575 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing Kidney Stone Detection Accuracy Using Image Processing and a Hybrid Convolutional Deep Belief NetworkGeetha M. N, Barkathulla A, S. Nandhini Devi et al.Automated CKD is a rapidly expanding non-communicable ailment that significantly contributes to global mortality and morbidity. CKD impacts more than 10% of the worldwide population, leading to millions of deaths annually. This paper proposes an enhanced deep learning model for renal disease detection that integrates convolutional and involution layers to enhance classification accuracy. CKD is a worldwide health issue characterised … …Journal of Computer Science, Vol. 22, Issue 10 · 9 Oct 2026 · 749 accessesView PDFCite
Research ArticleOpen accessIn the abstractCooling Load Prediction in the Under-Actuated Zone with Multilayer Perceptron Artificial Neural NetworkYaddarabullah, Aedah Abd Rahman, Amna SaadThis study focuses on addressing the challenge of predicting cooling loads in under-actuated zones, where the variability in occupant behavior, environmental conditions, and electronic usage creates complex dynamics. Traditional models like Support Vector Regression (SVR) and E-Lastic-Net (ELN) often struggle to capture these non-linear relationships, leading to inefficient Heating, Ventilation, and Air Conditioning (HVAC) management and increased energy consumption. To … …Journal of Computer Science, Vol. 21, Issue 3 · 27 Jan 2025 · 5,300 accessesView PDFCite
Research ArticleOpen accessIn the abstractKnowledge Based Bayesian Network Construction Algorithm for Medical Data Fusion to Enhance Services and DiagnosisAhmed SamehTraditional Bayesian networks' algorithms are treating the network construction process as an isolated and autonomous data-driven trial-and-error process and completely ignoring the domain knowledge. In this work we are proposing a new 'Semantically Aware Ontology-Based Bayesian Network construction algorithm' that is knowledge centered instead of data centered. The objective of the new algorithm is to empower patients through improving their … …Journal of Computer Science, Vol. 15, Issue 5 · 28 May 2019 · 8,035 accessesView PDFCite