scispace - formally typeset
Search or ask a question
JournalISSN: 2277-9043

International Journal of Advanced Research in Computer Science and Electronics Engineering 

About: International Journal of Advanced Research in Computer Science and Electronics Engineering is an academic journal. The journal publishes majorly in the area(s): Wireless sensor network & Routing protocol. It has an ISSN identifier of 2277-9043. Over the lifetime, 469 publications have been published receiving 899 citations.

Papers published on a yearly basis

Papers
More filters
Journal Article
TL;DR: The presented paper elaborates and compares all popular feature extraction and acoustic modelling techniques along with the challenges and advancements in the field of ASR.
Abstract: This paper explains the concept of Automatic speech recognition (ASR) from the view point of pattern recognition. An ASR system can be broadly classified into two parts: front end and the back end which are responsible for feature extraction and acoustic modelling respectively. The presented paper elaborates and compares all popular feature extraction and acoustic modelling techniques along with the challenges and advancements in the field of ASR.

53 citations

Patent
Biebesheimer D1, Donn P. Jasura1, Keller N1, Daniel Oblinger1, Mark Podlaseck1, Stephen J. Rolando1 
TL;DR: In this paper, a customer self-service system and method for performing resource search and selection is presented, which includes steps of providing an interface (12) enabling entry of a query (131) for a resource and specification of one or more user context elements (132), each element representing a context associated with the current user state and having context attributes (14) and attribute values (232) associated therewith; enabling user specification of relevant resource selection criteria (245) for enabling expression of relevance of resource results in terms of user context.
Abstract: A customer self service system and method for performing resource search and selection. The method includes steps of providing an interface (12) enabling entry of a query (131) for a resource and specification of one or more user context elements (132) , each element (132) representing a context associated with the current user state and having context attributes (14) and attribute values (232) associated therewith; enabling user specification of relevant resource selection criteria (245) for enabling expression of relevance of resource results in terms of user context; searching a resource database and generating a resource response set having resources that best match a user's query (131), user context attributes (14) and user defined relevant resource selection criteria (245); presenting said resource response set (332, 333, 335, 336) to the user in a manner whereby a relevance of each of the resources being expressed in terms of user context in a manner optimised to facilitate resource selection; and, enabling continued user selection and modification (135, 136) of context attribute values (232) to enable increased specificity and accuracy of a user's query (131) to thereby result in improved selection logic and attainment of resource response sets best fitted to the query.

48 citations

Journal Article
TL;DR: Genetic algorithms are a class of optimization procedures which are well suited to the problem of training and optimize weights of Artificial Neural Networks and are shown in this paper.
Abstract: Artificial Neural Networks have a number of properties which make them psuitable to solve complex pattern classification problems. Their applications to some real world problems has been adopted by the lack of a training algorithm. This algorithms finds a nearly globally optimal set of weights in a relatively short time. Back propagation is one of the training algorithm of the Artificial neural network. However, training the neural networks using backpropagation algorithm may cause two main drawbacks: trapping into local minima and converging slowly. In view of these limitations of back-propagation neural networks, global search technique such as Genetic algorithm have been presented to overcome these shortcomings. Genetic algorithms are a class of optimization procedures which are good at exploring a large and complex space in an intelligent way. It finds values close to the global optimum. Hence, they are well suited to the problem of training and optimize weights of Artificial Neural Networks. In this paper the use of Genetic algorithms to optimize weights of Artificial Neural Networks is shown.

31 citations

Journal Article
TL;DR: An improved algorithm based on Discrete Wavelet Transform (DWT) is used to detect cloning forgery in a copy-move image forgery.
Abstract: In an age with digital media, it is no longer true that seeing is believing.In addition, digital forgeries, can be indistinguishable from authentic photographs. In a copy-move image forgery, a part of an image is copied and then pasted on a different location within the same image .In this paper an improved algorithm based on Discrete Wavelet Transform (DWT)is used to detect such cloning forgery. In this technique DWT (Discrete Wavelet Transform) is applied to the input image to yield a reduced dimensional representation.After that compressed image is divided into overlapping blocks. These blocks are then sorted and duplicated blocks are identified. Due to DWT usage, detection is first carried out on lowest level image representation so this Copy-Move detection process increases accuracy of detection process.

30 citations

Journal Article
TL;DR: A new algorithm for brain segmentation of MRI images by fuzzy c means algorithm to diagnose accurately the region of cancer for glioma growth by advanced diameter technique is presented.
Abstract: Tumor segmentation from MRI data is an important but time consuming manual task performed by medical experts. The research which addresses the diseases of the brain in the field of the vision by computer is one of the challenges in recent times in medicine, the engineers and researchers recently launched challenges to carry out innovations of technology pointed in imagery. This paper focuses on a new algorithm for brain segmentation of MRI images by fuzzy c means algorithm to diagnose accurately the region of cancer. In the first step it proceeds by noise filtering later applying FCM algorithm to segment only tumor area .In this research multiple MRI images of brain can be applied detection of glioma (Tumor) growth by advanced diameter technique.

23 citations

Network Information
Related Journals (5)
International Journal of Computer Applications
26.6K papers, 157.4K citations
80% related
International journal of engineering research and technology
22.3K papers, 32.6K citations
77% related
Journal of optical communications
2.2K papers, 13.4K citations
74% related
Performance
Metrics
No. of papers from the Journal in previous years
YearPapers
20204
20195
20186
201717
201614
201525