Pawan Kumar Singh

Mita Nasipuri, Ram Sarkar, Pawan Kumar Singh, 2015, Proceedings of the 2015 Third International Conference on Computer, Communication, Control and Information Technology (C3IT).

Fashion Retail: Forecasting Demand for New Items pdf

Pawan Kumar Singh, Nilpa Jha, Aruna Rajan, 2019, ArXiv.

Script invariant handwritten digit recognition using a simple feature descriptor

Mita Nasipuri, Ram Sarkar, Pawan Kumar Singh, 2018, Int. J. Comput. Vis. Robotics.

Page-to-Word Extraction from Unconstrained Handwritten Document Images

Ram Sarkar, Pawan Kumar Singh, Shubham Sinha, 2017 .

Application of daisy descriptor for language identification in the wild

Pawan Kumar Singh, Ayatullah Faruk Mollah, Ram Sarkar, 2020, Multim. Tools Appl..

A Coherent Cluster Head Selection Algorithm Based on Pinnacle Weight

Pawan Kumar Singh, Anju Gera, Deep Kiran Munjal, 2020, 2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM).

Optimized mobile sink based grid coverage-aware sensor deployment and link quality based routing in wireless sensor networks

Seema Dahiya, Pawan Kumar Singh, S. Dahiya, 2018 .

A Two-Stage Approach to Handwritten Indic Script Identification

Mita Nasipuri, Ram Sarkar, Pawan Kumar Singh, 2017 .

A Study of Moment Based Features on Handwritten Digit Recognition

Mita Nasipuri, Ram Sarkar, Pawan Kumar Singh, 2016, Appl. Comput. Intell. Soft Comput..

A New Framework for Smartphone Sensor-Based Human Activity Recognition Using Graph Neural Network

Vikrant Bhateja, Pawan Kumar Singh, Ram Sarkar, 2021, IEEE Sensors Journal.

Indic script identification from handwritten document images

Mita Nasipuri, Ram Sarkar, Pawan Kumar Singh, 2019, Int. J. Intell. Syst. Technol. Appl..

M-HMOGA: A New Multi-Objective Feature Selection Algorithm for Handwritten Numeral Classification

Mita Nasipuri, Pawan Kumar Singh, Ram Rup Sarkar, 2019, J. Intell. Syst..

Secure Broadcast Using Random Keys in Wireless Sensor Networks

Pawan Kumar Singh, Nandini Mukherjee, Tanmoy Sarkar, 2010, ICWN.

Line-Level Script Identification for Six Handwritten Scripts Using Texture Based Features

Mita Nasipuri, Ram Sarkar, Pawan Kumar Singh, 2015 .

A Texture Based Approach to Word-Level Script Identification from Multi-script Handwritten Documents

Mita Nasipuri, Ram Sarkar, Pawan Kumar Singh, 2014, 2014 International Conference on Computational Intelligence and Communication Networks.

Understanding NFC-Net: a deep learning approach to word-level handwritten Indic script recognition

Mita Nasipuri, Ram Sarkar, Pawan Kumar Singh, 2019, Neural Computing and Applications.

Understanding Fashionability: What drives sales of a style? pdf

Pawan Kumar Singh, Aruna Rajan, Yadunath Gupta, 2018, ArXiv.

A comprehensive survey on Bangla handwritten numeral recognition

Mita Nasipuri, Ram Sarkar, Pawan Kumar Singh, 2018, Int. J. Appl. Pattern Recognit..

Benchmark databases of handwritten Bangla-Roman and Devanagari-Roman mixed-script document images

Subhadip Basu, Mahantapas Kundu, Mita Nasipuri, 2018, Multimedia Tools and Applications.

Offline Script Identification from multilingual Indic-script documents: A state-of-the-art

Mita Nasipuri, Ram Sarkar, Pawan Kumar Singh, 2015, Comput. Sci. Rev..

A Study of Different Classifier Combination Approaches for Handwritten Indic Script Recognition

Mita Nasipuri, Ram Sarkar, Pawan Kumar Singh, 2018, J. Imaging.

A New Approach for Texture based Script Identification At Block Level using Quad Tree Decomposition pdf

Mita Nasipuri, Pawan Kumar Singh, Ram Rup Sarkar, 2020, ArXiv.

MMHAR-EnsemNet: A Multi-Modal Human Activity Recognition Model

Vikrant Bhateja, Pawan Kumar Singh, Ram Sarkar, 2021, IEEE Sensors Journal.

Handwritten Mixed-Script Recognition System: A Comprehensive Approach

Mita Nasipuri, Ram Sarkar, Pawan Kumar Singh, 2016, FICTA.

Application of Structural and Topological Features to Recognize Online Handwritten Bangla Characters

Ram Sarkar, David S. Doermann, Pawan Kumar Singh, 2018, ACM Trans. Asian Low Resour. Lang. Inf. Process..

HP_DocPres: a method for classifying printed and handwritten texts in doctor’s prescription

Pawan Kumar Singh, Ram Sarkar, Avishek Garain, 2020, Multimedia Tools and Applications.

Hybrid of Harmony Search Algorithm and Ring Theory-Based Evolutionary Algorithm for Feature Selection

Ram Sarkar, Pawan Kumar Singh, Zong Woo Geem, 2020, IEEE Access.

Create an Automatic Uncertainty Elimination Tools in Software Engineering

Pawan Kumar Singh, Ravi Kumar Tewari, 2019, 2019 International Conference on Automation, Computational and Technology Management (ICACTM).

Word Segmentation from Unconstrained Handwritten Bangla Document Images using Distance Transform pdf

Mita Nasipuri, Pawan Kumar Singh, Shubham Sinha, 2020, ArXiv.

CGA: a new feature selection model for visual human action recognition

Debotosh Bhattacharjee, Pawan Kumar Singh, Ram Sarkar, 2020 .

A comprehensive survey on Bangla handwritten numeral recognition

Mita Nasipuri, Ram Sarkar, Pawan Kumar Singh, 2018 .

Late Acceptance Hill Climbing Based Social Ski Driver Algorithm for Feature Selection

Ram Sarkar, Pawan Kumar Singh, Zong Woo Geem, 2020, IEEE Access.

Word-level script identification for handwritten Indic scripts

Mita Nasipuri, Ram Sarkar, David S. Doermann, 2015, 2015 13th International Conference on Document Analysis and Recognition (ICDAR).

Feature Selection Using Histogram-Based Multi-objective GA for Handwritten Devanagari Numeral Recognition

Mita Nasipuri, Ram Sarkar, Pawan Kumar Singh, 2018 .

A histogram based fuzzy ensemble technique for feature selection

Vikrant Bhateja, Ram Sarkar, Pawan Kumar Singh, 2019, Evolutionary Intelligence.

Page-level handwritten script identification using modified log-Gabor filter based features

Ram Sarkar, Pawan Kumar Singh, Iman Chatterjee, 2015, 2015 IEEE 2nd International Conference on Recent Trends in Information Systems (ReTIS).

Line Parameter based Word-Level Indic Script Identification System

Mita Nasipuri, Ram Sarkar, Pawan Kumar Singh, 2016, Int. J. Comput. Vis. Image Process..

Script invariant handwritten digit recognition using a simple feature descriptor

Mita Nasipuri, Ram Sarkar, Pawan Kumar Singh, 2018, Int. J. Comput. Vis. Robotics.

Significance of non-parametric statistical tests for comparison of classifiers over multiple datasets

Mita Nasipuri, Ram Sarkar, Pawan Kumar Singh, 2016 .

Page-level script identification from multi-script handwritten documents

Mita Nasipuri, Ram Sarkar, Pawan Kumar Singh, 2015, International Conference on Computer, Communication, Control and Information Technology.

Sink Node Mobility Patterns in Clusters based Wireless Sensor Networks

Seema Dahiya, Pawan Kumar Singh, 2018 .

Recognition of offline handwriten Devanagari numerals using regional weighted run length features

Mita Nasipuri, Ram Sarkar, Pawan Kumar Singh, 2016, 2016 International Conference on Computer, Electrical & Communication Engineering (ICCECE).

A comprehensive handwritten Indic script recognition system: a tree-based approach

Vikrant Bhateja, Mita Nasipuri, Ram Sarkar, 2018, Journal of Ambient Intelligence and Humanized Computing.

Development of a page segmentation technique for Bangla documents printed in italic style

Mita Nasipuri, Samir Malakar, Ram Sarkar, 2014, 2014 2nd International Conference on Business and Information Management (ICBIM).

Handwritten Script Identification from Text Lines pdf

Pawan Kumar Singh, Mita Nasipuri, Iman Chatterjee, 2020, ArXiv.

Statistical comparison of classifiers for script identification from multi-script handwritten documents

Subhadip Basu, Mita Nasipuri, Ram Sarkar, 2014, Int. J. Appl. Pattern Recognit..

Clustering of Nodes in Wireless Sensor Network (WSN): A Survey

Seema Dahiya, Pawan Kumar Singh, 2018 .

A Hybrid Swarm and Gravitation-based feature selection algorithm for handwritten Indic script classification problem

Mita Nasipuri, Ram Sarkar, Pawan Kumar Singh, 2020, Complex & Intelligent Systems.

Feature Selection Using Harmony Search for Script Identification from Handwritten Document Images

Mita Nasipuri, Ram Sarkar, Pawan Kumar Singh, 2018, J. Intell. Syst..

Handwritten Indic Script Recognition Based on the Dempster–Shafer Theory of Evidence

Mita Nasipuri, Ram Sarkar, Pawan Kumar Singh, 2018, J. Intell. Syst..

FuzzyGCP: A deep learning architecture for automatic spoken language identification from speech signals

Pawan Kumar Singh, Ram Sarkar, Avishek Garain, 2021, Expert Syst. Appl..

Significance of non-parametric statistical tests for comparison of classifiers over multiple datasets

Mita Nasipuri, Ram Sarkar, Pawan Kumar Singh, 2016, Int. J. Comput. Sci. Math..

A Comparative Study of Different Feature Descriptors for Video-Based Human Action Recognition

Debotosh Bhattacharjee, Pawan Kumar Singh, Ram Sarkar, 2020 .

A simple and effective expert system for schizophrenia detection

Ram Sarkar, Pawan Kumar Singh, R. Sarkar, 2015, Int. J. Intell. Syst. Technol. Appl..

A clustering‐based feature selection framework for handwritten Indic script classification

Mita Nasipuri, Pawan Kumar Singh, Manosij Ghosh, 2019, Expert Syst. J. Knowl. Eng..

SV-NET: A Deep Learning Approach to Video Based Human Activity Recognition

Debotosh Bhattacharjee, Pawan Kumar Singh, Ram Sarkar, 2019, SoCPaR.

A study on smartphone sensor-based Human Activity Recognition using deep learning approaches

Ram Sarkar, Debotosh Bhattacharjee, Pawan Kumar Singh, 2021, Handbook of Computational Intelligence in Biomedical Engineering and Healthcare.

GRA_Net: A Deep Learning Model for Classification of Age and Gender From Facial Images

Ram Sarkar, Pawan Kumar Singh, Ali Ahmadian, 2021, IEEE Access.

Spoken Language Identification of Indian Languages Using MFCC Features

Ram Sarkar, Pawan Kumar Singh, Mainak Biswas, 2021 .

A new feature extraction approach for script invariant handwritten numeral recognition

Mita Nasipuri, Ram Sarkar, Pawan Kumar Singh, 2021, Expert Syst. J. Knowl. Eng..

Transfer learning with fine tuning for human action recognition from still images

Ram Sarkar, Debotosh Bhattacharjee, Pawan Kumar Singh, 2021, Multimedia Tools and Applications.

Improved Binary Sailfish Optimizer Based on Adaptive β-Hill Climbing for Feature Selection

Zong Woo Geem, Ram Sarkar, Pawan Kumar Singh, 2020, IEEE Access.