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Arya K. Bhattacharya

Observed names: A.K. Bhattacharya, Arya Bhattacharya, Arya K Bhattacharya, Arya Kumar Bhattacharya
Institution: Mahindra University
ORCID: 0000-0001-5144-4582
Observed ORCID: 0000-0001-5144-4582
OpenAlex ID: A5080157265
Hyperspectral Radiometry to Quantify the Grades of Iron Ores of Noamundi and Joda Mines, Eastern India
2011 · Magendran Thangavelu, Sanjeevi Shanmugam, et al. · Journal of the Indian Society of Remote Sensing · 29
Parallel differential evolution approach for cloud workflow placements under simultaneous optimization of multiple objectives
2016 · Daniel Balouek-Thomert, Arya K. Bhattacharya, et al. · IEEE Congress on Evolutionary Computation (CEC) · 22
Estimation of operating blast furnace reactor invisible interior surface using Differential Evolution
2012 · Arya K. Bhattacharya, Debjani Aditya, et al. · Applied Soft Computing · 14
Optimization of continuous casting mould oscillation parameters in steel manufacturing process using genetic algorithms
2007 · Arya K. Bhattacharya, S. Debjani, et al. · IEEE Congress on Evolutionary Computation (CEC) · 11
Investigations on convergence behaviour of Physics Informed Neural Networks across spectral ranges and derivative orders
2022 · Mayank Deshpande, Siddharth Agarwal, et al. · IEEE Symposium Series on Computational Intelligence (SSCI) · 9
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Training Convolutional Neural Networks with Differential Evolution using Concurrent Task Apportioning on Hybrid CPU-GPU Architectures
2021 · Rochan Avlur Venkat, Zakaria Oussalem, et al. · IEEE Congress on Evolutionary Computation (CEC) · 8
Adaptive Critic Design for Extreme Learning Machines applied to noisy and drifting industrial processes
2018 · Ravinithesh Reddy Annapureddy, Arya K. Bhattacharya, et al. · IEEE Symposium Series on Computational Intelligence (SSCI) · 8
Synthesis of CFD and Monte-Carlo simulations for improved design and operation of Dense Medium Cyclones
2014 · Debjani Sambasivam, Arya K. Bhattacharya · Computers & Fluids · 8
Recognition of Fault Signature Patterns Using Fuzzy Logic for Prevention of Breakdowns in Steel Continuous Casting Process
2005 · Arya K. Bhattacharya, P. S. Srinivas, et al. · Lecture notes in computer science · 7
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Fuzzy diagnostics system for breakout prevention in continuous casting of steel
2004 · A.K. Bhattacharya, K. Chithra, et al. · World Congress on Intelligent Control and Automation · 7
Advance Predictions of critical digressions in a noisy industrial process- performance of Extreme Learning Machines versus Artificial Neural Networks
2018 · Ravinithesh Reddy, Arya K. Bhattacharya, et al. · IFAC-PapersOnLine · 6
Synthesis of Optimal Trajectories in Aerial Engagements using Differential Evolution
2018 · Pranay Thangeda, Arya K. Bhattacharya, et al. · IFAC-PapersOnLine · 6
Extreme Learning Machines with frequency based noise filtering for prediction of critical digressions in a noisy industrial process
2017 · Aditya Gupta, PLN Manikumar, et al. · IEEE India Council International Conference (INDICON) · 6
Physics Informed Extreme Learning Machines With Residual Variation Diminishing Scheme for Nonlinear Problems With Discontinuous Surfaces
2024 · Kaumudi Joshi, Vukka Snigdha, et al. · IEEE Access · 5
Comparative Performances of Neural Networks of Variant Architectures Trained with Backpropagation and Differential Evolution
2021 · Zakaria Oussalem, Rochan Avlur Venkat, et al. · IEEE Congress on Evolutionary Computation (CEC) · 5
Multi-Objective Differential Evolution with unbalanced Divide-and-Conquer Strategy for Warehouse Resource Allocation
2021 · Jahnavi Malagavalli, Sai Rohan Gowtham K, et al. · International Conference on Emerging Techniques in Computational Intelligence (ICETCI) · 4
Advance Prediction of Adverse Digressions in Continuous-Time Systems Using ANN Kernels: A Generic Approach Instantiated in Steel Manufacturing
2016 · Arya K. Bhattacharya, K. Rajasekar · Advances in intelligent systems and computing · 4
Parallelization of industrial process control program based on the technique of differential evolution using multi-threading
2014 · Rajeev Agrawal, Abhinav Goyal, et al. · 4
Neural Architecture Search Applied to Autoencoders Trained on Noisy Industrial Data: Single and Multi-Objective Investigations
2024 · Aditya Sai Ellendula, Aurelien Anand, et al. · International Conference on Emerging Techniques in Computational Intelligence (ICETCI) · 3
Multi-objective differential evolution for automated control of industrial process input material composition incorporating supply-side fluctuations
2016 · Arya K. Bhattacharya, Debjani Sambasivam · IEEE Congress on Evolutionary Computation (CEC) · 3
Design of fuzzy logic controller for unstable fighter aircraft using a genetic algorithm for rule optimization
2000 · Arya Bhattacharya, A. Sivakumar · AIAA Applied Aerodynamics Conference · 3
Modulations of Chromosome Gene Parents at Crossover for Boosting Differential Evolution Performance
2025 · Vukka Snigdha, Sriabhirath Reddy Sangala, et al. · International Conference on Emerging Techniques in Computational Intelligence (ICETCI) · 2
Emotion Aligned Music Composition from Sound Fundamentals Using Differential Evolution
2024 · Prafulla Kalapatapu, Ishaan Chigilli Palli, et al. · IEEE Congress on Evolutionary Computation (CEC) · 2
Self-Organizing Map for Automated Quality Assessment in Algorithmic Music Computation
2024 · Prafulla Kalapatapu, Ventrapragada Sai Srikar, et al. · International Conference on Emerging Techniques in Computational Intelligence (ICETCI) · 1
Constructing Extreme Learning Machines with zero Spectral Bias
2023 · Kaumudi Joshi, Vukka Snigdha, et al. · International Conference on Emerging Techniques in Computational Intelligence (ICETCI) · 1
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Works count: 34
Citation count: 180
H-index: 8
I10-index: 4
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