Arvind Kumar Tiwari

发表

Feature based classification of nuclear receptors and their subfamilies using fuzzy K-nearest neighbor

Arvind Kumar Tiwari, Rajeev Srivastava, 2015, 2015 International Conference on Advances in Computer Engineering and Applications.

Application of Optimization Techniques for Gene Expression Data Analysis

Arvind Kumar Tiwari, Suresh Dara, Suresh Dara, 2017 .

Optimization of EDM Process of (Cu-W) EDM Electrodes on Different Progression

Arvind Kumar Tiwari, 2014 .

Feature Selection Algorithms for Classification and Clustering

Arvind Kumar Tiwari, A. Tiwari, 2020, Cognitive Analytics.

Machine Learning Approaches for Face Identification Feed Forward Algorithms

Arvind Kumar Tiwari, Ratnesh Kumar Shukla, 2019 .

Classification of enzyme functional classes and subclasses using support vector machine

Arvind Kumar Tiwari, Sanjeev Kumar Yadav, Amit Bhola, 2015, 2015 International Conference on Futuristic Trends on Computational Analysis and Knowledge Management (ABLAZE).

Machine Learning Based Approaches for Cancer Prediction: A Survey

Ajay Kumar, Arvind Kumar Tiwari, Rama Sushil, 2019, SSRN Electronic Journal.

A Survey of Computational Intelligence Techniques in Protein Function Prediction

Arvind Kumar Tiwari, Rajeev Srivastava, R. Srivastava, 2014, International journal of proteomics.

Refugee and human rights

Arvind Kumar Tiwari, 2014 .

Prediction of G-protein coupled receptors and their subfamilies by incorporating various sequence features into Chou's general PseAAC

Arvind Kumar Tiwari, A. Tiwari, 2016, Comput. Methods Programs Biomed..

An Improved Approach for Text Retrieval in Distributed Environment

Anil Kumar, Arvind Kumar Tiwari, Amit Doegar, 2014 .

MACHINE LEARNING BASED APPROACHES FOR PREDICTION OF PARKINSON 'S DISEASE

Arvind Kumar Tiwari, A. Tiwari, 2016 .

An efficient approach for the prediction of ion channels and their subfamilies

Arvind Kumar Tiwari, Rajeev Srivastava, R. Srivastava, 2015, Comput. Biol. Chem..

An Efficient Approach for the Prediction of G-Protein Coupled Receptors and Their Subfamilies

Arvind Kumar Tiwari, Rajeev Srivastava, Subodh Srivastava, 2016 .

Machine-Learning-Based Approach for Face Recognition

Arvind Kumar Tiwari, A. Tiwari, 2017 .

Machine Learning based Approach for protein Function Prediction using Sequence Derived Properties

Arvind Kumar Tiwari, Sanjeev Kumar Yadav, Amit Bhola, 2014 .

Sentiment Analysis by using Recurrent Neural Network

Arvind Kumar Tiwari, Alpna Patel, 2019 .

Introduction to Machine Learning

Arvind Kumar Tiwari, A. Tiwari, 2020, Deep Learning and Neural Networks.

Comparative Analysis of Machine Learning Based Approaches for Face Detection and Recognition

Arvind Kumar Tiwari, Ratnesh Kumar Shukla, 2021 .

Advanced Computing and Software Engineering

Arvind Kumar Tiwari, 2021, Recent Advances in Computer Science and Communications.

A Survey: Approaches to Facial Detection and Recognition with Machine Learning Techniques

Arvind Kumar Tiwari, Prateek Singhal, Prabhat Kumar Srivastava, 2021, Proceedings of Second Doctoral Symposium on Computational Intelligence.

An Efficient Approach for Prediction of Nuclear Receptor and Their Subfamilies Based on Fuzzy k-Nearest Neighbor with Maximum Relevance Minimum Redundancy

Arvind Kumar Tiwari, Rajeev Srivastava, R. Srivastava, 2018 .

A Survey of Machine Learning Based Approaches for Parkinson Disease Prediction

Arvind Kumar Tiwari, A. Tiwari, Shubham Bind, 2015 .

Design and Implementation of Secure Computer Based Examination System Based On B / S Structure

Arvind Kumar Tiwari, A. Tiwari, S. K. Singh, 2016 .