D: Neural & AI (36)
GJCST: D
Recognition of Cursive Arabic Handwritten Text using Embedded Training based on HMMs
Published In: GJCST Part: D: Neural & AI Volume: 16 Issue: 1
In this paper we present a system for offline recognition cursive Arabic handwritten text based on Hidden Markov Models (HMMs). The system is analytical without explicit segmentation used embedded training to perform and enhance the character models. Extraction features preceded by baseline estimation are statistical and geometric to integrate both the peculiarities of the text and the p...
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Authors Mouhcine RabiRead Journal Click Here
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Page No. 27 to 31
Artificial Intelligence: Uses and Misuses
Published In: GJCST Part: D: Neural & AI Volume: 16 Issue: 1
Artificial Intelligence (AI) was mostly regarded as science-fiction in the past but with the recent advancements in technology, it has silently crept into our lives. From social media to computer games to self-driving cars to military gadgets to personal digital assistants, AI is everywhere. This progress is also due to a paradigm shift in AI community where current trend is to make AI s...
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Authors Hibatullah AlzahraniRead Journal Click Here
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Page No. 21 to 26
A Neural Network Approach to Transistor Circuit Design
Published In: GJCST Part: D: Neural & AI Volume: 16 Issue: 1
Transistor amplifier design is an important and fundamental concept in electronics, typically encountered by students at the junior level in electrical engineering. This paper focuses on two configurations that employ neural networks to design bipolar junction transistor circuits. The purpose of this work is to determine which design best fits the required parameters. Engineers often nee...
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Authors Thomas L. HemmingerRead Journal Click Here
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Page No. 15 to 20
A New Approach to Adaptive Neuro-fuzzy Modeling using Kernel based Clustering
Published In: GJCST Part: D: Neural & AI Volume: 15 Issue: 1
Data clustering is a well known technique for fuzzy model identification or fuzzy modelling for apprehending the system behavior in the form of fuzzy if-then rules based on experimental data. Fuzzy c- Means (FCM) clustering and subtractive clustering (SC) are efficient techniques for fuzzy rule extraction in fuzzy modeling of Adaptive Neuro-fuzzy Inference System (ANFIS). In this paper w...
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Authors Sharifa Rajab, Vinod SharmaRead Journal Click Here
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Page No. 39 to 48
Adaptive Genetic Algorithm Based Artificial Neural Network for Software Defect Prediction
Published In: GJCST Part: D: Neural & AI Volume: 15 Issue: 1
To meet the requirement of an efficient software defect prediction,in this paper an evolutionary computing based neural network learning scheme has been developed that alleviates the existing Artificial Neural Network (ANN) limitations such as local minima and convergence issues. To achieve optimal software defect prediction, in this paper, Adaptive-Genetic Algorithm (A-GA) based ANN lea...
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Authors Racharla Suresh Kumar, Prof. Bachala SathyanarayanaRead Journal Click Here
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Page No. 23 to 32
Fuzzy Inspired Case based Reasoning for Hematology Malignancies Classification
Published In: GJCST Part: D: Neural & AI Volume: 15 Issue: 1
Conventional approaches for collecting and reporting hematological data as well as diagnosing hematologic malignancies such as leukemia, anemia, e.t.c are based on subjective professional physician personal opinions or experiences which are influenced by human error, dependent on human-to-human judgments, time consuming processes and the blood results are non-reproducible. In the light o...
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Authors Iminavan A.A., Odigie B. B.Read Journal Click Here
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Page No. 5 to 13
Enhance the performance of Chaotic Generator in the Filed of Cryptography: A Secret Key GenerationApproach
Published In: GJCST Part: D: Neural & AI Volume: 15 Issue: 1
The main focus of this research paper is to propose and improvement of the data security using encryption and decryption method in ANN based chaotic generator of original value. The Binary value sequence of ASCII CODE is converted with two initial parameter, and converted value is again decrypted with same initial parameter. In which consists of Binary value of ASCII Code, chaotic neural...
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Authors Sona Mishra, Asst. Prof. Amit MishraRead Journal Click Here
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Page No. 1 to 4
Gesture Recognition: A Survey of Gesture Recognition Techniques using Neural Networks
Published In: GJCST Part: D: Neural & AI Volume: 13 Issue: 3
Understanding human motions can be posed as a pattern recognition problem. In order to convey visual messages to a receiver, a human expresses motion patterns. Loosely called gestures, these patterns are variable but distinct and have an associated meaning. The Pattern recognition by any computer or machine can be implemented via various methods such as Hidden Harkov Models, Linear Progr...
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Authors Mahesh Sharma, Er.Rama ChawlaRead Journal Click Here
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Page No. 21 to 22
Database Extract Information Using Genetic Algorithm and Sending Message in HL7 Formatted Using Back Propagation
Published In: GJCST Part: D: Neural & AI Volume: 13 Issue: 3
To analysis the speed of sending message in Healthcare standard 7 with the use of back propagation in neural network. Various algorithms are define in back propagation in neural network we can use back propagation algorithm for sending message purpose. Genetic Algorithm are used to extract information and send these information with this algorithm appears to be fastest method for trainin...
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Authors Kanika Sharma, Hardeep Singh KangRead Journal Click Here
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Page No. 19 to 20
Classification of Heart Disease using Artificial Neural Network and Feature Subset Selection
Published In: GJCST Part: D: Neural & AI Volume: 13 Issue: 3
Now a day’s artificial neural network (ANN) has been widely used as a tool for solving many decision modeling problems. A multilayer perception is a feed forward ANN model that is used extensively for the solution of a no. of different problems. An ANN is the simulation of the human brain. It is a supervised learning technique used for non linear classification Coronary ...
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Authors M. Akhil jabbar, B.L Deekshatulu, Priti ChandraRead Journal Click Here
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Page No. 5 to 14
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CAPTCHA: Attacks and Weaknesses against OCR technology
Published In: GJCST Part: D: Neural & AI Volume: 13 Issue: 3
The basic challenge in designing these obfuscating CAPTCHAs is to make them easy enough that users are not dissuaded from attempting a solution, yet still too difficult to solve using available computer vision algorithms. As Modern technology grows this gap however becomes thinner and thinner. It is possible to enhance the security of an existing text CAPTCHA by system-apically adding no...
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Authors Silky Azad, Kiran JainRead Journal Click Here
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Page No. 15 to 17
Backpropagaton in Hl7 in Medical Informatics to Analysis Speed of Sending Data
Published In: GJCST Part: D: Neural & AI Volume: 13 Issue: 3
In this paper, analysis the speed of sending message in Healthcare standard 7 with the use of back propagation in neural network. Various algorithms are define in backpropagtion in neural network we can use trainlm algorithm for sending message purpose. This algorithm appears to be fastest method for training moderate sized feedforward neural network. It has a very efficient matlab imple...
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Authors Kanika Sharma, Hardeep Singh KangRead Journal Click Here
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Page No. 1 to 3
Bayesian Network Model forEpidemiological Data
Published In: GJCST Part: D: Neural & AI Volume: 13 Issue: 2
This documentation describes the implementation of Bayesian Network on Hiroshima Nagasaki atomic bomb survivor data, using “R†software. Bayesian networks, a state-of-the art representation of probabilistic knowledge by a graphical diagram, has emerged in recent years as essential for pattern recognition and classification in the healthcare field. Unlike some...
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Authors Sagar Baviskar, Dinesh Lokhande, Anand Biyani, Akash KabraRead Journal Click Here
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Page No. 51 to 57
Bayesian Regularization based Neural Network Tool for Software Effort Estimation
Published In: GJCST Part: D: Neural & AI Volume: 13 Issue: 2
Rapid growth of software industry leads to need of new technologies. Software effort estimation is one of the areas that need more concentration. Exact estimation is always a challenging task. Effort Estimation techniques are broadly classified into algorithmic and non-algorithmic techniques. An algorithmic model provides a mathematical equation for estimation which is based upon the ana...
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Authors Harwinder Kaur, Dalwinder Singh SalariaRead Journal Click Here
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Page No. 45 to 50
