Diptendu Bhattacharya

According to our database, Diptendu Bhattacharya authored at least 20 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Honey Badger algorithm using lens opposition based learning and local search algorithm.

Parijata Majumdar, Sanjoy Mitra, Diptendu Bhattacharya

Evol. Syst., April, 2024

An improved binary grey wolf optimizer for constrained engineering design problems.

Parijata Majumdar, Diptendu Bhattacharya, Sanjoy Mitra, Leonardo Ramos Rodrigues, Diego Oliva

Expert Syst. J. Knowl. Eng., January, 2024

A Decision-Making Model With Intuitionistic Fuzzy Information for Selection of Enterprise Resource Planning Systems.

Partha Pratim Deb, Diptendu Bhattacharya, Indranath Chatterjee, Abhijit Saha, Arunodaya Raj Mishra, Sk. Hasane Ahammad

IEEE Trans. Engineering Management, 2024

2023

Soil moisture simulation of rice using optimized Support Vector Machine for sustainable agricultural applications.

Parijata Majumdar, Sanjoy Mitra, Diptendu Bhattacharya

Sustain. Comput. Informatics Syst., December, 2023

A 2-phase prediction of a non-stationary time-series by Taylor series and reinforcement learning.

Debolina Dey, Lidia Ghosh, Diptendu Bhattacharya, Amit Konar

Appl. Soft Comput., September, 2023

Application of Green IoT in Agriculture 4.0 and Beyond: Requirements, Challenges and Research Trends in the Era of 5G, LPWANs and Internet of UAV Things.

Parijata Majumdar, Diptendu Bhattacharya, Sanjoy Mitra, Bharat Bhushan

Wirel. Pers. Commun., August, 2023

Dynamic strategy to use optimum memory space in real-time video surveillance.

Tamal Biswas, Diptendu Bhattacharya, Gouranga Mandal

J. Ambient Intell. Humaniz. Comput., March, 2023

A feature boosted deep learning method for automatic facial expression recognition.

Tanusree Podder, Diptendu Bhattacharya, Priyanka Majumder, Valentina Emilia Balas

PeerJ Comput. Sci., 2023

An Intuitionistic Fuzzy Consensus WASPAS Method for Assessment of Open-Source Software Learning Management Systems.

Partha Pratim Deb, Diptendu Bhattacharya, Indranath Chatterjee, Prasenjit Chatterjee, Edmundas Kazimieras Zavadskas

Informatica, 2023

2022

Real-time fast low-light vision enhancement for driver during driving at night.

Gouranga Mandal, Diptendu Bhattacharya, Parthasarathi De

J. Ambient Intell. Humaniz. Comput., 2022

2021

Real-time automotive night-vision system for drivers to inhibit headlight glare of the oncoming vehicles and enhance road visibility.

Gouranga Mandal, Diptendu Bhattacharya, Parthasarathi De

J. Real Time Image Process., 2021

Real-time fast fog removal approach for assisting drivers during dense fog on hilly roads.

Gouranga Mandal, Parthasarathi De, Diptendu Bhattacharya

J. Ambient Intell. Humaniz. Comput., 2021

Real Time Vision Based Overtaking Assistance System for Drivers at Night on Two-Lane Single Carriageway.

Gouranga Mandal, Diptendu Bhattacharya, Parthasarathi De

Computación y Sistemas, 2021

A multi-objective algorithm for crop pattern optimization in agriculture.

Sonal Jain, Dharavath Ramesh, Diptendu Bhattacharya

Appl. Soft Comput., 2021

2019

Learning regularity in an economic time-series for structure prediction.

Diptendu Bhattacharya, Jishnu Mukhoti, Amit Konar

Appl. Soft Comput., 2019

2018

Self-adaptive type-1/type-2 hybrid fuzzy reasoning techniques for two-factored stock index time-series prediction.

Diptendu Bhattacharya, Amit Konar

Soft Comput., 2018

2017

Time-Series Prediction and Applications - A Machine Intelligence Approach

Amit Konar, Diptendu Bhattacharya

Intelligent Systems Reference Library 127, Springer, ISBN: 978-3-319-54597-4, 2017

Music-Induced Emotion Classification from the Prefrontal Hemodynamics.

Pallabi Samanta, Diptendu Bhattacharya, Amiyangshu De, Lidia Ghosh, Amit Konar

Proceedings of the Pattern Recognition and Machine Intelligence, 2017

2016

Secondary factor induced stock index time-series prediction using Self-Adaptive Interval Type-2 Fuzzy Sets.

Diptendu Bhattacharya, Amit Konar, Pratyusha Das

Neurocomputing, 2016

Knowledge extraction from a time-series using segmentation, fuzzy matching and predictor graphs.

Jishnu Mukhoti, Pratyusha Rakshit, Diptendu Bhattacharya, Amit Konar, Atulya K. Nagar

Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016