Chandrasekar Ravi

13 papers Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Optimization of Selective Disassembly Sequence Planning for Waste Electrical and Electronic Equipment Using a Hybrid Dual-Advantage Reinforcement Learning Approach.
Qual. Reliab. Eng. Int.
Mirothali Chand, Chandrasekar Ravi
2025 J jnl
A Novel Deep Reinforcement Learning Approach for Stability-Based Parallel Disassembly Sequence Planning Problem.
SN Comput. Sci.
M. R. Mahesh Kumar, Chandrasekar Ravi
2024 J jnl
A novel reinforcement learning framework for disassembly sequence planning using Q-learning technique optimized using an enhanced simulated annealing algorithm.
Artif. Intell. Eng. Des. Anal. Manuf.
Mirothali Chand, Chandrasekar Ravi
2024 J jnl
A study of object recognition and tracking techniques for augmented reality applications.
Int. J. Comput. Vis. Robotics
Chandrasekar Ravi, Manoja Talagadadeevi
2024 J jnl
An Optimal Disassembly Sequence Planning for Complex Products using Enhanced Deep Reinforcement Learning Framework.
SN Comput. Sci.
Mirothali Chand, Chandrasekar Ravi
2022 J jnl
Bitcoin price prediction using optimized multiplicative long short term memory with attention mechanism using modified cuckoo search optimization.
Concurr. Comput. Pract. Exp.
Aarif Ahamed Shahul Hameed, Chandrasekar Ravi
2022 J jnl
Driver Identification Using Optimized Deep Learning Model in Smart Transportation.
ACM Trans. Internet Techn.
Chandrasekar Ravi, Anmol Tigga, G. Thippa Reddy, Saqib Hakak, Mamoun Alazab
2021 J jnl
Exponential Moving Average Modelled Particle Swarm Optimization Algorithm for Efficient Disassembly Sequence Planning towards Practical Feasibility.
Int. J. Perform. Eng.
Anil Kumar Gulivindala, M. V. A. Raju Bahubalendruni, S. S. V. Prasad Varupala, Chandrasekar Ravi
2021 J jnl
Study of Swarm Intelligence Algorithms for Optimizing Deep Neural Network for Bitcoin Prediction.
Int. J. Swarm Intell. Res.
S. Aarif Ahamed, Chandrasekar Ravi
2020 J jnl
Fuzzy Crow Search Algorithm-Based Deep LSTM for Bitcoin Prediction.
Int. J. Distributed Syst. Technol.
Chandrasekar Ravi
2018 J jnl
BGFS: Design and Development of Brain Genetic Fuzzy System for Data Classification.
J. Intell. Syst.
Chandrasekar Ravi, Neelu Khare
2018 — conf
Image Classification Using Deep Learning and Fuzzy Systems.
ISDA (2)
Chandrasekar Ravi
2017 J jnl
BSFS: Design and Development of Exponential Brain Storm Fuzzy System for Data Classification.
Int. J. Uncertain. Fuzziness Knowl. Based Syst.
Chandrasekar Ravi, Neelu Khare