D: Neural & AI (36)
GJCST: D
Primary Education Status Analysis in Bangladesh Based On Neural Networks and Baysian Networks
Published In: GJCST Part: D: Neural & AI Volume: 12 Issue: 10
In this research work we have concentrate to measure the primary education status in Bangladesh, a developing country of South Asia. It known that the literacy rate of South Asian country is very slow and it is not the different in Bangladesh. Here we measure the dropout rate of primary school kids at different classes at different sessions. We have collected the data from various primar...
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Authors Dr. Snehasish Sarker, Md.Sarwar Kamal, Puja DasRead Journal Click Here
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Page No. 1 to 10
Intelligent Intrusion Detection In Computer Networks Using Fuzzy Systems
Published In: GJCST Part: D: Neural & AI Volume: 12 Issue: 11
The Internet and computer networks are exposed to an increasing number of security threats. With new types of attacks appearing continually, developing flexible and adaptive security oriented approaches is a severe challenge. Intrusion detection is a significant focus of research in the security of computer systems and networks. The security of computer networks plays a strategic role in...
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Authors Dr. Amin EinipourRead Journal Click Here
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Page No. 19 to 29
Relevance Search via Bipolar Label Diffusion on Bipartite Graphs
Published In: GJCST Part: D: Neural & AI Volume: 12 Issue: 10
The task of relevance search is to find relevant items to some given queries, which can be viewed either as an information retrieval problem or as a semi-supervised learning problem. In order to combine both of their advantages, we develop a new relevance search method using label diffusion on bipartite graphs. And we propose a heat diffusion-based algorithm, namely bipartite label diffu...
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Authors Dr. Zhang Liang, Ren LixiaoRead Journal Click Here
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Page No. 33 to 38
Review on Financial Forecasting using Neural Network and Data Mining Technique
Published In: GJCST Part: D: Neural & AI Volume: 12 Issue: 11
The rise of economic globalization and evolution of information technology, financial data are being generated and accumulated at an extraordinary speed. As a result, there has been a critical need for automated approaches to effective and efficient utilization of massive amount of financial data to support companies and individuals in strategic planning and investment decision-making. T...
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Authors Dr. Mehzabin Shaikh, Prof. Mrs. Gyankamal J. ChhajedRead Journal Click Here
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Page No. 15 to 18
Mobile Robot for Object Detection Using Image Processing
Published In: GJCST Part: D: Neural & AI Volume: 12 Issue: 11
This paper describes a robotic application that tracks a moving object by utilizing a mobile robot with sensors and image processing. The robotic platform uses a visual camera to sense the movement of the desired object and a range sensor to help the robot detect and then avoid obstacles in real time while continuing to detect and follow the desired object. In terms of real-time obstacle...
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Authors Dr. Himanshu Borse, Amol Dumbare, Rohit Gaikwad, Nikhil LendeRead Journal Click Here
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Page No. 13 to 14
Comparison of Angstrom-Prescott, Multiple Regression and Artificial Neural Network Models for the Estimation of Global Solar Radiation in Warri, Nigeria
Published In: GJCST Part: D: Neural & AI Volume: 12 Issue: 11
In this paper, the application of artificial neural network, Angstrom-Prescott and multiple regressions models to study the estimation of global solar radiation in Warri, Nigeria for a time period of seventeen years were carried out. Our study based on Multi-Layer Perceptron (MLP) of artificial neural network was trained and tested using seventeen years (1991-2007) meteorological data. T...
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Authors Dr. Ibeh G.F, Agbo G.A, Oboma D.N, Ekpe J.E, Odoh SRead Journal Click Here
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Page No. 7 to 11
Unsolved Tricky Issues on COTS Selection and Evaluation
Published In: GJCST Part: D: Neural & AI Volume: 12 Issue: 10
Component Based Software Engineering (CBSE) approach is based on the idea to develop software systems by selecting appropriate components and then to assemble them with a well-defined software architecture. (CBSE) offers developers the twin benefits of reduced software life cycles, shorter development times , saving cost and less effort as compare to build own component. However the succ...
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Authors Dr. Zahid Javed, Ahsan Raza Sattar, Muhammad Shakeel FaridiRead Journal Click Here
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Page No. 27 to 31
Data Mining Through Self Organising MapsApplied on Select Exchange Rates
Published In: GJCST Part: D: Neural & AI Volume: 12 Issue: 12
The self organising maps are gaining popularity as they help in organizing the haphazard data in topological maps. They conserve space in storing, help in pattern identification, matching, recognition, data mining etc. The Neural Networks designed by Hopfield is applied in this paper to organize the returns produced by seven exchange rates by the competitive Kohonen algorithm. Our analys...
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Authors Ravindran Ramasamy , Krishnan RengganathanRead Journal Click Here
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Page No. 19 to 27
