Chinmaya Kumar Behera Sip Pdf Banks Personal Finance Ajit kumar behera associate professor, computer science & engineering department, silicon university, bhubaneswar verified email at silicon.ac.in computational intelligence machine learning. Email : 919437147840, 7008061186 (m) : [email protected], ajit behera@hotmail.
Ajit Kumar Behera Warehouse Incharge At Dhl Supply Chain Linkedin Ajit kumar behera, sr. asst. professor | cited by 189 | of silicon institute of technology, bhubaneshwar | read 31 publications | contact ajit kumar behera. View ajit kumar behera’s profile on linkedin, a professional community of 1 billion members. Dr. ajit behera currently working as asst. professor in metallurgical & materials department at national institute of technology, rourkela. he born in 1987 in odisha. he completed his ph.d. at iit kharagpur in 2016. Ajit kumar behera name: ajit kumar behera region: scientists designation: scientist 'c' email: akbehera [dot]nihr [at]gov [dot]in phone number: resume: area of interest:.
Ajit Kumar Behera Store Supervisor At Ugc Supply Chain Solution Pvt Dr. ajit behera currently working as asst. professor in metallurgical & materials department at national institute of technology, rourkela. he born in 1987 in odisha. he completed his ph.d. at iit kharagpur in 2016. Ajit kumar behera name: ajit kumar behera region: scientists designation: scientist 'c' email: akbehera [dot]nihr [at]gov [dot]in phone number: resume: area of interest:. © copyright 2025 ieee all rights reserved, including rights for text and data mining and training of artificial intelligence and similar technologies. affiliations: [department of computer science & engineering, silicon institute of technology, bhubaneswar, india]. Dr. ajit kumar behera is an associate professor in the department of computer science and engineering at silicon university, bhubaneswar, india. his research interests include software reliability, machine learning, and artificial intelligence based applications. Ajit kumar behera department of computer science and application, utkal university, vani vihar, bhubaneswar, odisha, india , c. sanjeev kumar dash department of computer science and engineering, silicon institute of technology, patia, bhubaneswar, odisha, india , mrutyunjaya panda. In this work, we have used an accepted statistical method inter quartile range (iqr) to detect outliers in data and deal with them using the winsorizing method. for classification problem, it is discovered that radial basis function network (rbfn) can estimate any continuous multivariate function.
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