Ankur Singh Bist

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Parikshik dutta, Dilip Kumar pratihar do modelling of TIF welding process using conventional regression analysis and neural network-based approaches. journal of Materials Processing Technology 184 (2007) 56–68 P. Sathiya ?, K. Panneerselvam, M. Y. Abdul Jaleel "Optimization of laser welding process parameters for super austenitic stainless steel using(More)
Computer viruses are big problem for security. It is essential to differentiate between reproducing programs and its similar forms. Reproducing programs will not necessarily harm the system. Classification aspect of metamorphic viruses is an emerging issue of research. The orientation and expansion of metamorphic viruses is quite critical and general(More)
In many pattern recognition applications, limiting the number of features is a very important requirement due to high dimensional cost as well as the risk of “overfitting” imposed by the high-dimensional feature vectors. Feature subset selection addresses the dimensionality reduction problem by determining a subset of available features which(More)
Video based Face Recognition is an emerging research issue which has received much attention during the recent years. In this research, an effective approach for calculating the periodicity of a subject i.e. exact appearance of a subject in different time in video data stream is presented. The system is the combination of two studies: face detection and(More)
Image classification is an important field of artificial intelligence. A machine tries to classify the images into different predefined categories using the intelligence and experience gained by the training session. Classification is a complex process which is affected by many factors as it is difficult to classify an image containing blurry and noisy(More)
Class imbalance problem refers to unequal distribution of data instances between classes. Due to this, popular classifiers misclassify data instances of minority class into majority class. Initially, Extreme learning machine was proposed with the prime objective of handling real valued datasets. Though, it a fast learning technique, it suffers from the(More)