D. Srivastava

Cluster analysis is a technique used for classification of data in which data elements are partitioned into groups called clusters that represent collections of data elements that are proximate based on a distance or dissimilarity function

Rashmi Goyal, D. Srivastava, 2016 .

Texture Representation and Classification: The Feature Frequency Matrix Approach

Helen C. Shen, D. Srivastava, 1996 .

Dwindling of interference by adopting MRMC technique in WMN

D. Srivastava, Sheenam, 2022, AGRIVOLTAICS2021 CONFERENCE: Connecting Agrivoltaics Worldwide.

Data Classification: A Rough - SVM Approach

K. S. Patnaik, D. K. Srivastava, L. Bhambhu, 2010 .

A novel approach for CPU utilization on a multicore paradigm using parallel quicksort

Alok Aggarwal, Tinku Singh, Durgesh Kumar Srivastava, 2017, 2017 3rd International Conference on Computational Intelligence & Communication Technology (CICT).

DATA CLASSIFICATION USING SUPPORT VECTOR MACHINE

Lekha Bhambhu, Durgesh K. Srivastava, D. Srivastava, 2009 .

A Genetic Algorithm-Based Approach to Solve a New Time-Limited Travelling Salesman Problem

D. Srivastava, Moumita Mondal, 2023, Int. J. Distributed Syst. Technol..

Computational Intelligence Approach to improve the Classification Accuracy of Brain Tumour Detection

D. Srivastava, Priyangshu Sarkar, 2022, 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE).

A Behaviour‐Based Authentication to Internet of Things Using Machine Learning

Mohit Goyal, D. Srivastava, 2021, Design and Development of Efficient Energy Systems.

Detection of Acoustic Scenes and Events using Audio Analysis – A Survey

H. Shankar, D. Srivastava, Dinesh Vij, 2023, 2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE).

DATA CLASSIFICATION USING SUPPORT VECTOR MACHINE

D. Srivastava, L. Bhambhu, 2009 .