Diptendu Bhattacharya

发表

Vivaldi antennas: a historical review and current state of art

A. Karmakar, Anuradha Saha, Anindita Bhattacharjee, 2020, International Journal of Microwave and Wireless Technologies.

Self-adaptive Interval Type-2 Fuzzy Set Induced Stock Index Prediction

A. Konar, Diptendu Bhattacharya, 2017 .

Design of a compact UWB MIMO‐diversity antenna incorporating fractal inspired isolation structure with band notch characteristics

A. Karmakar, Anuradha Saha, Anindita Bhattacharjee, 2021, Microwave and Optical Technology Letters.

Time efﬁcient real time facial expression recognition with CNN and transfer learning

Diptendu Bhattacharya, A. Majumdar, Tanusree Podder, 2022 .

IoT for Promoting Agriculture 4.0: a Review from the Perspective of Weather Monitoring, Yield Prediction, Security of WSN Protocols, and Hardware Cost Analysis

Diptendu Bhattacharya, Parijata Majumdar, Sanjoy Mitra, 2021, Journal of Biosystems Engineering.

Time efficient real time facial expression recognition with CNN and transfer learning

Diptendu Bhattacharya, A. Majumdar, Tanusree Podder, 2022, Sādhanā.

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

Diptendu Bhattacharya, Gouranga Mandal, Parthasarathi De, 2021, Journal of Real-Time Image Processing.

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

Diptendu Bhattacharya, Gouranga Mandal, Parthasarathi De, 2021, Journal of Ambient Intelligence and Humanized Computing.

A real-time fast defogging system to clear the vision of driver in foggy highway using minimum filter and gamma correction

Diptendu Bhattacharya, Parthasarathi De, Gouranga Mandal, 2020, Sādhanā.

A real-time fast defogging system to clear the vision of driver in foggy highway using minimum filter and gamma correction

Diptendu Bhattacharya, Gouranga Mandal, Parthasarathi De, 2020 .

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

Diptendu Bhattacharya, Parijata Majumdar, Sanjoy Mitra, 2023, Evolving Systems.

A multi-objective algorithm for crop pattern optimization in agriculture

Diptendu Bhattacharya, Dharavath Ramesh, Sonal Jain, 2021, Appl. Soft Comput..

Prediction of evapotranspiration and soil moisture in different rice growth stages through improved salp swarm based feature optimization and ensembled machine learning algorithm

Diptendu Bhattacharya, Parijata Majumdar, Sanjoy Mitra, 2023, Theoretical and Applied Climatology.

An Introduction to Time-Series Prediction

Amit Konar, Diptendu Bhattacharya, A. Konar, 2017 .

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

Amit Konar, Diptendu Bhattacharya, Pratyusha Das, 2016, Neurocomputing.

A feature boosted deep learning method for automatic facial expression recognition

V. Balas, Diptendu Bhattacharya, Tanusree Podder, 2023, PeerJ Comput. Sci..

Time efficient real time facial expression recognition with CNN and transfer learning

Diptendu Bhattacharya, A. Majumdar, Tanusree Podder, 2022, Sādhanā.

Real time facial expression and gender recognition with feature integrated CNN

Diptendu Bhattacharya, A. Majumdar, Tanusree Podder, 2021, The Imaging Science Journal.

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

Tamal Biswas, Diptendu Bhattacharya, Gouranga Mandal, 2023, Journal of Ambient Intelligence and Humanized Computing.

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

Diptendu Bhattacharya, Gouranga Mandal, Parthasarathi De, 2021, Computación y Sistemas.

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

Diptendu Bhattacharya, Gouranga Mandal, Parthasarathi De, 2021, J. Ambient Intell. Humaniz. Comput..

Real-time surface material identification using infrared sensor to control speed of an arduino based car like mobile robot

Amit Konar, Diptendu Bhattacharya, Susmit Nanda, 2015, Proceedings of the 2015 Third International Conference on Computer, Communication, Control and Information Technology (C3IT).

Dynamic method to optimize memory space requirement in real-time video surveillance using convolution neural network

Tamal Biswas, Diptendu Bhattacharya, Gouranga Mandal, 2023, The Imaging Science Journal.

Demand prediction of rice growth stage-wise irrigation water requirement and fertilizer using Bayesian genetic algorithm and random forest for yield enhancement

Diptendu Bhattacharya, B. Bhusan, Ryan Solgi, 2023, Paddy and Water Environment.

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

E. Zavadskas, Prasenjit Chatterjee, Indranath Chatterjee, 2023, Informatica.

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

B. Bhushan, Diptendu Bhattacharya, Parijata Majumdar, 2023, Wireless Personal Communications.

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

A. Konar, Lidia Ghosh, Diptendu Bhattacharya, 2023, Appl. Soft Comput..

An improved binary grey wolf optimizer for constrained engineering design problems

Diptendu Bhattacharya, Parijata Majumdar, Sanjoy Mitra, 2023, Expert Systems.

Music-Induced Emotion Classification from the Prefrontal Hemodynamics

Amit Konar, Diptendu Bhattacharya, Lidia Ghosh, 2017, PReMI.

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

A. Saha, A. Mishra, Indranath Chatterjee, 2024, IEEE Transactions on Engineering Management.

Learning regularity in an economic time-series for structure prediction

Amit Konar, Diptendu Bhattacharya, Jishnu Mukhoti, 2019, Appl. Soft Comput..

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

Pratyusha Rakshit, Amit Konar, Atulya K. Nagar, 2016, 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Grouping of First-Order Transition Rules for Time-Series Prediction by Fuzzy-Induced Neural Regression

Amit Konar, Diptendu Bhattacharya, A. Konar, 2017 .

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

Amit Konar, Diptendu Bhattacharya, A. Konar, 2017, Soft Computing.

Handling Main and Secondary Factors in the Antecedent for Type-2 Fuzzy Stock Prediction

Amit Konar, Diptendu Bhattacharya, A. Konar, 2017 .

Learning Structures in an Economic Time-Series for Forecasting Applications

Amit Konar, Diptendu Bhattacharya, A. Konar, 2017 .