D: Neural & AI (36)
GJCST: D
Evaluation of Job Offers Using The Evidential Reasoning Approach
Published In: GJCST Part: D: Neural & AI Volume: 13 Issue: 2
The word ‘Job’ term as a regular activity performed in exchange for payment is considered as one of the most important activities for many families worldwide .Evaluation is necessary when more than one opportunity come to an To fulfill their desired goal, it is the ‘evaluation’ which assesses among the factors. In addition, it...
Paper Information
Authors Tanjim Mahmud, Kazi Namirur Rahman, Dr.Mohammad Shahadat HossainRead Journal Click Here
Read Paper Click Here
Page No. 35 to 44
Normalized Vector Codes for Object Recognition Using Artificial Neural Networks in the Framework of Picture Description Languages
Published In: GJCST Part: D: Neural & AI Volume: 13 Issue: 2
Your Understanding how biological visual systems recognize objects is one of the ultimate goals in computational neuroscience. People are able to recognize different types of objects despite the fact that the objects may vary in view, points, sizes, scale, texture or even when they are translated or rotated. In this paper we focus on syntactic approach for the description of objects as N...
Paper Information
Authors G.D. Jasmin, E.G. RajanRead Journal Click Here
Read Paper Click Here
Page No. 25 to 33
Tumor Prediction in Mammogram using Neural Network
Published In: GJCST Part: D: Neural & AI Volume: 13 Issue: 2
Detecting micro calcifications - early breast cancer indicators – is visually tough while recognizing malignant tumors is a highly complicated issue. Digital mammography ensures early breast cancer detection through digital mammograms locating suspicious areas with benign/- malignant micro calcifications. Early detection is vital in treatment and survival of breast cance...
Paper Information
Authors Ms. P.Valarmathi, Dr. V.RadhakrishnanRead Journal Click Here
Read Paper Click Here
Page No. 19 to 24
Neural Network Algorithms for using Radon Emanations as an Earthquake Precursor
Published In: GJCST Part: D: Neural & AI Volume: 13 Issue: 2
The investigation throughout the world in past two decades provides evidence which indicates that significance variation of radon and other soil gases may occur in association with major geophysical events such as earthquake events. The traditional statistical algorithm which included regression to remove the effect of the meteorological parameters from the as is measured radon along wit...
Paper Information
Authors Gupta Dhawal, Shahani D. TRead Journal Click Here
Read Paper Click Here
Page No. 1 to 10
A Simple Neural Network Approach toSoftware Cost Estimation
Published In: GJCST Part: D: Neural & AI Volume: 13 Issue: 1
The effort invested in a software project is one of the most challenging task and most analyzed variables in recent years in the process of project management. Software cost estimation predicts the amount of effort and development time required to build a software system. It is one of the most critical tasks and it helps the software industries to effectively manage their software develo...
Paper Information
Authors Dr. Anupama Kaushik, A.K. Soni, Rachna SoniRead Journal Click Here
Read Paper Click Here
Page No. 23 to 30
Efficient V-B block designs for CDC method 4
Published In: GJCST Part: D: Neural & AI Volume: 13 Issue: 1
Some optimal incomplete block designs for complete diallel cross method 4 are known in literature. These designs require several replications for each cross and thus consume more resources such as experimental units, experimental material, time etc. So, there is a need to evolve designs which require minimum possible replications of parental lines. In this paper a method of construction ...
Paper Information
Authors Dr. M.K.SharmaRead Journal Click Here
Read Paper Click Here
Page No. 17 to 21
A Proposed SAT Algorithm
Published In: GJCST Part: D: Neural & AI Volume: 13 Issue: 1
This paper reviews existing SAT algorithms and proposes a new algorithm that solves the SAT problem.The proposed algorithm differs from existing algorithms in several aspects. First, the proposed algorithm does not do any backtracking during the searching process that usually consumes significant time as it is the case with other algorithms.Secondly, the searching process in the proposed...
Paper Information
Authors Dr. Bagais A., Junaidu S. B., Abdullahi M.Read Journal Click Here
Read Paper Click Here
Page No. 7 to 16
Self Organization Map to Assess Forest Development and Problems with Multiple Regression Analysis
Published In: GJCST Part: D: Neural & AI Volume: 13 Issue: 2
Sustainability is a burning factor in the forestry sector around the world. Understanding sustainability is also a critical question. This research examined the status of Bangladesh forestry by indicating the needs of forest products and the efficiency of forest policy and management practices, and relates sustainability with scarcity situations Bangladesh is a country of beauty with for...
Paper Information
Authors Dr. Md Saiful Islam, Md Kamor Uddin SikderRead Journal Click Here
Read Paper Click Here
Page No. 11 to 17
Epistemological Differences in Tactical and Strategic Spatial Planning
Published In: GJCST Part: D: Neural & AI Volume: 13 Issue: 1
NA ...
Paper Information
Authors Dr. Aynaz LotfataRead Journal Click Here
Read Paper Click Here
Page No. 1 to 6
Applications of Kort Spiral Learning Method on Learners Behaviour Based on Wavelet Transform Method(DWT) in E-Learning Environment
Published In: GJCST Part: D: Neural & AI Volume: 12 Issue: 12
This paper is planning to address one of the important difficulties faced by the e-learning communities, that is, capturing of human emotion accurately both of a tutor and learner in e-learning sceanario. In this paper, an approach for human emotion recognition system based on Discrete Wavelet Transform (DWT) on korts spiral model of learning on learners and tutors is presented. The affe...
Paper Information
Authors Mr. E. Pandian, Dr. S.Santhosh BabooRead Journal Click Here
Read Paper Click Here
Page No. 15 to 18
More...
Tumor Extraction and Volume Estimation for T1-Weighted Magnetic Resonance Brain Images
Published In: GJCST Part: D: Neural & AI Volume: 12 Issue: 12
Magneticresonanceimaging (MRI)isasignificantimagingtechnologyfor brain tumor diagnosis because physicians can identify precise pathologies by studying thevariationsoftissuecharacteristicsthatoccursinvarious kinds of MR images. Segmentation of MRI is a pre-process in determining the volume of different brain tissues, but here tumor detection is of primary concern. We proposed a method to ...
Paper Information
Authors S.Satheesh, Dr.K.V.S.V.R Prasad, Dr. K. Jitender ReddyRead Journal Click Here
Read Paper Click Here
Page No. 9 to 14
Recognition of Similar Shaped Handwritten Marathi Characters Using Artificial Neural Network
Published In: GJCST Part: D: Neural & AI Volume: 12 Issue: 11
The growing need have handwritten Marathi character recognition in Indian offices such as passport, railways etc has made it vital area of a research. Similar shape characters are more prone to misclassification. In this paper a novel method is provided to recognize handwritten Marathi characters based on their features extraction and adaptive smoothing technique. Feature selections meth...
Paper Information
Authors Dr. Archana P.Jane, Prof.Mukesh.A.PundRead Journal Click Here
Read Paper Click Here
Page No. 1 to 5
An Empirical Investigation of Using ANN Based N-State Sequential Machine and Chaotic Neural Network in the Field of Cryptography
Published In: GJCST Part: D: Neural & AI Volume: 12 Issue: 10
Cryptography is the exchange of information among the users without leakage of information to others. Many public key cryptography are available which are based on number theory but it has the drawback of requirement of large computational power, complexity and time consumption during generation of key [1]. To overcome these drawbacks, we analyzed neural network is the best way to genera...
Paper Information
Authors Asst. Prof.Nitin Shukla , Abhinav TiwariRead Journal Click Here
Read Paper Click Here
Page No. 17 to 26
Artificial Intelligence an Essential Expected Computer World Surveillance
Published In: GJCST Part: D: Neural & AI Volume: 12 Issue: 10
A position paper toward an important and urgent discussion on how best uses the potential of Artificial Intelligence in the context of Computer World surveillance. AI is often cited in papers on Computer World surveillance. But what is meant is using pre-existing AI techniques in Computer World surveillance. AI techniques are established around applications. Computer World surveillance h...
Paper Information
Authors Dr. K.Sudheer Kumar, D.Srikar, CH.S.V.V.S.N MurthyRead Journal Click Here
Read Paper Click Here
Page No. 11 to 16
