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Optimized and load balanced clustering for wireless sensor networks to increase the lifetime of WSN using MADM approaches

Wireless networks, 2020, Vol.26 (1), p.215-251

2020

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Learning path recommendation based on modified variable length genetic algorithm

Education and information technologies, 2018-03, Vol.23 (2), p.819-836

2018

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Integration of new evolutionary approach with artificial neural network for solving short term load forecast problem

Applied energy, 2018-05, Vol.217, p.537-549

2018

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A novel hybrid model based on neural network and multi-objective optimization for effective load forecast

Energy (Oxford), 2019-09, Vol.182, p.606-622

2019

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Effective Trust-aware E-learning Recommender System based on Learning Styles and Knowledge Levels

Educational technology & society, 2013-10, Vol.16 (4), p.201-216

2013

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A hybrid method based on neural network and improved environmental adaptation method using Controlled Gaussian Mutation with real parameter for short-term load forecasting

Energy (Oxford), 2019-05, Vol.174, p.460-477

2019

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Decoding the black box: LIME-assisted understanding of Convolutional Neural Network (CNN) in classification of social media tweets

Social Network Analysis and Mining, 2024-07, Vol.14 (1), p.133, Article 133

2024

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Knowledge transfer by domain-independent user latent factor for cross-domain recommender systems

Future generation computer systems, 2020-07, Vol.108, p.320-333

2020

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User profile as a bridge in cross-domain recommender systems for sparsity reduction

Applied intelligence (Dordrecht, Netherlands), 2019-07, Vol.49 (7), p.2461-2481

2019

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Comparative analysis of collaborative filtering techniques for the multi-criteria recommender systems

Multimedia tools and applications, 2024-01, Vol.83 (24), p.64551-64571

2024

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MADM based Optimal Nodes Deployment for WSN with Optimal Coverage and Connectivity

IOP conference series. Materials Science and Engineering, 2021-01, Vol.1020 (1), p.12003

2021

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Multiple Parameter Based Energy Balanced and Optimized Clustering for WSN to Enhance the Lifetime Using MADM Approaches

Wireless personal communications, 2019-05, Vol.106 (2), p.829-877

2019

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"Mental Health among Students and Educators and its Impact on Education System during Pandemic"

Techno Learn, 2022-06, Vol.12 (1)

Dwivedi, Pragya

2022

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Fuzzy based hierarchical optimized approach with connectivity in WSN using multiple conflicting factors for application in the supervision of pipeline

Journal of physics. Conference series, 2021-03, Vol.1831 (1), p.12014

2021

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Aligned Intrinsic User Factors Knowledge Transfer for Cross-domain Recommender Systems

Procedia computer science, 2020, Vol.167, p.363-372

2020

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Multi-criteria recommendation system based on deep matrix factorization and regression techniques

International journal of information technology (Singapore. Online), 2024-03

2024

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Enhanced multi-criteria recommender system based on fuzzy Bayesian approach

Multimedia tools and applications, 2018-05, Vol.77 (10), p.12935-12953

2018

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Engineering circular RNA for molecular and metabolic reprogramming

Functional & integrative genomics, 2024-08, Vol.24 (4), p.117, Article 117

2024

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Matrix factorization in Cross-domain Recommendations Framework by Shared Users Latent Factors

Procedia computer science, 2018, Vol.143, p.387-394

2018

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Tags and Item Features as a Bridge for Cross-Domain Recommender Systems

Procedia computer science, 2018, Vol.125, p.624-631

2018

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e-Learning recommender system for a group of learners based on the unified learner profile approach

Expert systems, 2015-04, Vol.32 (2), p.264-276

2015

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Load Forecasting for EV Charging Stations Based on Artificial Neural Network and Long Short Term Memory

Advanced Network Technologies and Intelligent Computing, p.473-485

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Handling Natural Noise in Multi Criteria Recommender System utilizing effective similarity measure and Particle Swarm Optimization

Procedia computer science, 2017, Vol.115, p.853-862

2017

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A Linear Regression Approach to Multi-criteria Recommender System

Data Mining and Big Data, p.235-243

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Short-Term Electricity Load Forecast Using Hybrid Model Based on Neural Network and Evolutionary Algorithm

Numerical Optimization in Engineering and Sciences, 2020, Vol.979, p.167-176

2020

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Optimized and load balanced clustering for wireless sensor networks to increase the lifetime of WSN using MADM approaches

Learning path recommendation based on modified variable length genetic algorithm

Integration of new evolutionary approach with artificial neural network for solving short term load forecast problem

A novel hybrid model based on neural network and multi-objective optimization for effective load forecast

Effective Trust-aware E-learning Recommender System based on Learning Styles and Knowledge Levels

A hybrid method based on neural network and improved environmental adaptation method using Controlled Gaussian Mutation with real parameter for short-term load forecasting

Decoding the black box: LIME-assisted understanding of Convolutional Neural Network (CNN) in classification of social media tweets

Knowledge transfer by domain-independent user latent factor for cross-domain recommender systems

User profile as a bridge in cross-domain recommender systems for sparsity reduction

Comparative analysis of collaborative filtering techniques for the multi-criteria recommender systems

MADM based Optimal Nodes Deployment for WSN with Optimal Coverage and Connectivity

Multiple Parameter Based Energy Balanced and Optimized Clustering for WSN to Enhance the Lifetime Using MADM Approaches

"Mental Health among Students and Educators and its Impact on Education System during Pandemic"

Fuzzy based hierarchical optimized approach with connectivity in WSN using multiple conflicting factors for application in the supervision of pipeline

Aligned Intrinsic User Factors Knowledge Transfer for Cross-domain Recommender Systems

Multi-criteria recommendation system based on deep matrix factorization and regression techniques

Enhanced multi-criteria recommender system based on fuzzy Bayesian approach

Engineering circular RNA for molecular and metabolic reprogramming

Matrix factorization in Cross-domain Recommendations Framework by Shared Users Latent Factors

Tags and Item Features as a Bridge for Cross-Domain Recommender Systems

e-Learning recommender system for a group of learners based on the unified learner profile approach

Load Forecasting for EV Charging Stations Based on Artificial Neural Network and Long Short Term Memory

Handling Natural Noise in Multi Criteria Recommender System utilizing effective similarity measure and Particle Swarm Optimization

A Linear Regression Approach to Multi-criteria Recommender System

Short-Term Electricity Load Forecast Using Hybrid Model Based on Neural Network and Evolutionary Algorithm

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