S. Minz

发表

Information, Communication and Computing Technology

D. Ślęzak, Simone Diniz Junqueira Barbosa, Phoebe Chen, 2018, Communications in Computer and Information Science.

Change Detection Using Unsupervised Learning Algorithms for Delhi, India

Hemant Kumar Aggarwal, Sonajharia Minz, H. Aggarwal, 2014 .

Multilevel Privacy Preserving in Distributed Environment using Cryptographic Technique

S. Minz, F. Al-Yarimi, 2022 .

HIERARCHICAL PRIVACY PRESERVING DISTRIBUTED FREQUENT ITEMSET MINING OVER VERICALLY DISTRIBUTED DATASET (HPPDFIM)

S. Minz, Fuad Ali moh. Alyarimi, 2013 .

CORRIGENDUM to “RICE PLANT DISEASE CLASSIFICATION USING TRANSFER LEARNING OF DEEP CONVOLUTION NEURAL NETWORK”

M. K. Pradhan, V. K. Shrivastava, S. Minz, 2019 .

Machine learning for forewarning crop diseases.

Sonajharia Minz, Rajni Jain, S. Minz, 2009 .

Generalized fuzzy c-means with spatial information for clustering of remote sensing images

Prem Shankar Singh Aydav, S. Minz, 2014, 2014 International Conference on Data Mining and Intelligent Computing (ICDMIC).

Self-Training with Spatially Confident and Diverse Samples for the Classification of Remote Sensing Images

Prem Shankar Singh Aydav, S. Minz, Vipin Kumar, 2022, Journal of the Indian Society of Remote Sensing.

Spatio-temporal changes pattern in the hotspot's footprint: a case study of confirmed, recovered and deceased cases of Covid-19 in India

Mohd Shamsh Tabarej, S. Minz, 2022, Spatial Information Research.

Spatio-temporal changes pattern in the hotspot's footprint: a case study of confirmed, recovered and deceased cases of Covid-19 in India

Mohd Shamsh Tabarej, S. Minz, 2022, Spatial Information Research.

Fuzzy-genetic approach to context-aware recommender systems based on the hybridization of collaborative filtering and reclusive method techniques

Sonajharia Minz, Kamal Kant Bharadwaj, Sonal Linda, 2019, AI Commun..

Getis-Ord (Gi*) based Farmer Suicide Hotspot Detection

S. Minz, Amisha Bharti, 2022, Journal of Information Technology and Digital World.

Link prediction in signed social networks based on fuzzy computational model of trust and distrust

K. K. Bharadwaj, S. Minz, Nancy Girdhar, 2019, Soft Computing.

Game Theory Based Pixel Approximation for Remote Sensing Imagery

Sonajharia Minz, Aditya Raj, S. Minz, 2020, Appl. Soft Comput..

Spatial clustering using neighborhood for multispectral images

Sonajharia Minz, Aditya Raj, S. Minz, 2020 .

Spatial Rough k-Means Algorithm for Unsupervised Multi-spectral Classification

Sonajharia Minz, Aditya Raj, S. Minz, 2020 .

Unsupervised classification of remote sensing imagery using multi-sensor data fusion

Sonajharia Minz, Ashish Kumar Agarwalla, S. Minz, 2017, 2017 International Conference on Signal Processing and Communication (ICSPC).

Classification of hyperspectral images using self-training and a pseudo validation set

Prem Shankar Singh Aydav, Sonajharia Minz, S. Minz, 2018, Remote Sensing Letters.

Self-training with Neighborhood Information for the Classification of Remote Sensing Images

Prem Shankar Singh Aydav, Sonajharia Minz, S. Minz, 2018, Information and Communication Technology for Competitive Strategies.

Feature Selection: A literature Review

Vipin Kumar, Sonajharia Minz, Vipin Kumar, 2014, Smart Comput. Rev..

Fast active learning for hyperspectral image classification using extreme learning machine

Sonajharia Minz, Vimal K. Shrivastava, Monoj K. Pradhan, 2019, IET Image Process..

Multi-view ensemble learning: an optimal feature set partitioning for high-dimensional data classification

Vipin Kumar, Sonajharia Minz, S. Minz, 2015, Knowledge and Information Systems.

RICE PLANT DISEASE CLASSIFICATION USING TRANSFER LEARNING OF DEEP CONVOLUTION NEURAL NETWORK

Sonajharia Minz, Vimal K. Shrivastava, Monoj K. Pradhan, 2019, ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.

Negotiation framework for group recommendation based on fuzzy computational model of trust and distrust

Sonajharia Minz, Kamal Kant Bharadwaj, Nirmal Choudhary, 2020, Multimedia Tools and Applications.

Improving Multi-agent Evolutionary Techniques with Local Search for Job Shop Scheduling Problem

Sonajharia Minz, Ahmad Balid, S. Minz, 2008, 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology.

Measure of roughness using granular computing

Sonajharia Minz, Rangbahadur Patel, S. Minz, 2013, 2013 3rd IEEE International Advance Computing Conference (IACC).

Effective Context-Aware Recommendations Based on Context Weighting Using Genetic Algorithm and Alleviating Data Sparsity

Sonajharia Minz, Kamal Kant Bharadwaj, Sonal Linda, 2020, Appl. Artif. Intell..

Granulation-based self-training for the semi-supervised classification of remote-sensing images

Prem Shankar Singh Aydav, Sonajharia Minz, S. Minz, 2020, Granular Computing.

Granulation-based self-training for the semi-supervised classification of remote-sensing images

Prem Shankar Singh Aydav, S. Minz, 2019, Granular Computing.

Data Privacy in Data Engineering, the Privacy Preserving Models and Techniques in Data Mining and Data Publishing: Contemporary Affirmation of the Recent Literature

Sonajharia Minz, Fuad Ali Mohammed Al-yarimi, S. Minz, 2012 .

Multi-Objective Particle Swarm Optimization: An Introduction

Vipin Kumar, Sonajharia Minz, Vipin Kumar, 2014, Smart Comput. Rev..

Multi-view ensemble learning: an optimal feature set partitioning for high-dimensional data classification

Vipin Kumar, S. Minz, 2016, Knowledge and Information Systems.

A Kernel-Based Extreme Learning Machine Framework for Classification of Hyperspectral Images Using Active Learning

Sonajharia Minz, Vimal K. Shrivastava, Monoj K. Pradhan, 2019, Journal of the Indian Society of Remote Sensing.

CCRA: channel criticality based resource allocation in cognitive radio networks

Sonajharia Minz, Vinesh Kumar, S. Minz, 2017, Int. J. Commun. Syst..

Group Recommender Systems – An Evolutionary Approach Based on Multi-expert System for Consensus

Sonajharia Minz, Ritu Meena, S. Minz, 2018, J. Intell. Syst..

Multi-view ensemble learning using multi-objective particle swarm optimization for high dimensional data classification

Prem Shankar Singh Aydav, Sonajharia Minz, Vipin Kumar, 2021, J. King Saud Univ. Comput. Inf. Sci..

Link prediction in signed social networks based on fuzzy computational model of trust and distrust

Sonajharia Minz, Kamal Kant Bharadwaj, K. K. Bharadwaj, 2019, Soft Comput..

An Optimal Multi-view Ensemble Learning for High Dimensional Data Classification Using Constrained Particle Swarm Optimization

Sonajharia Minz, Vipin Kumar, Vipin Kumar, 2017 .

Multi-view Ensemble Learning: A Supervised Feature Set Partitioning for High Dimensional Data Classification

Vipin Kumar, Sonajharia Minz, Vipin Kumar, 2015, WCI '15.

Modified Self-Learning with Clustering for the Classification of Remote Sensing Images

Prem Shankar Singh Aydav, Sonajharia Minz, S. Minz, 2015 .

Fisher discriminant ratio based multiview active learning for the classification of remote sensing images

Sonajharia Minz, Vimal K. Shrivastava, Monoj K. Pradhan, 2018, 2018 4th International Conference on Recent Advances in Information Technology (RAIT).

Rough-Set Based Hotspot Detection in Spatial Data

Sonajharia Minz, Mohd Shamsh Tabarej, S. Minz, 2019, ICACDS.

Discretization Using Clustering and Rough Set Theory

Sonajharia Minz, Girish Kumar Singh, G. Singh, 2007, 2007 International Conference on Computing: Theory and Applications (ICCTA'07).

Inductive-Analytical Learning based Stepwise Support Vector Machine ( SVM ) Model

S. Minz, Anshu Bharadwaj, 2014 .

Adaptive Segmentation with Intelligent ResNet and LSTM–DNN for Plant Leaf Multi-disease Classification Model

S. Minz, K. Sahu, 2023, Sensing and Imaging.

Refining decision tree classifiers using rough set tools

Sonajharia Minz, Rajni Jain, S. Minz, 2005, Int. J. Hybrid Intell. Syst..

Should Decision Trees be Learned using Rough Sets?

Sonajharia Minz, Rajni Jain, S. Minz, 2003, IICAI.

Classifying Mushrooms in the Hybridized Rough Sets Framework

Sonajharia Minz, Rajni Jain, S. Minz, 2003, IICAI.

Hybridized Rough Set Framework for Classification: An Experimental View

Sonajharia Minz, Rajni Jain, S. Minz, 2003, HIS.

Exploring Self-learning for spatial-spectral classification of remote sensing images

Prem Shankar Singh Aydav, Sonajharia Minz, S. Minz, 2015, 2015 International Conference on Computer Communication and Informatics (ICCCI).

Spatial Granule based Clustering Technique for Hyperspectral Images

S. Minz, Aditya Raj, 2022, 2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon).

On relationships between q-product identities and combinatorial partition identities

S. Minz, M. Chaudhary, S. Chaudhary, 2020, Mathematica Moravica.

Mood classifiaction of lyrics using SentiWordNet

S. Minz, V. Kumar, S. Minz, 2013, 2013 International Conference on Computer Communication and Informatics.

Performance analysis of cognitive radio networks under spectrum sharing using queuing approach

Vipin Kumar, Sonajharia Minz, Vinesh Kumar, 2016, Comput. Electr. Eng..

Adaptive fusion of K-means region growing with optimized deep features for enhanced LSTM-based multi-disease classification of plant leaves

S. Minz, K. Sahu, 2023, Geocarto International.

Self‐adaptive‐deer hunting optimization‐based optimal weighted features and hybrid classifier for automated disease detection in plant leaves

S. Minz, K. Sahu, 2022, Expert Syst. J. Knowl. Eng..

RICE PLANT DISEASE CLASSIFICATION USING TRANSFER LEARNING OF DEEP CONVOLUTION NEURAL NETWORK

M. K. Pradhan, V. K. Shrivastava, S. Minz, 2019, ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.

Granulation using Clustering and Rough Set Theory and its Tree Representation

G. Singh, S. Minz, 2007 .

Circle-based Group Recommendation in Social Networks

Sonajharia Minz, Kamal Kant Bharadwaj, Nirmal Choudhary, 2020, Soft Computing.