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Thousif, M and Dora, S and Sundaram, S (2024) A Particle Swarm Optimization-Based Interpretable Spiking Neural Classifier with Time-Varying Weights. In: Mathematics, 12 (18).
Gurumurthy, V and Mohanty, N and Sundaram, S and Sundararajan, N (2024) An efficient reinforcement learning scheme for the confinement escape problem. In: Applied Soft Computing, 152 .
John, J and Sundaram, S (2024) Genetic Algorithm-based Routing and Scheduling for Wildfire Suppression using a Team of UAVs. In: 13th IEEE Congress on Evolutionary Computation, CEC 2024, 30 June 2024through 5 July 2024, Yokohama.
Chowdhury, J and Shivaraman, V and Sundaram, S and Sujit, PB (2024) Graph-Based Prediction and Planning Policy Network (GP3Net) for Scalable Self-Driving in Dynamic Environments Using Deep Reinforcement Learning. In: 38th AAAI Conference on Artificial Intelligence, AAAI 2024, 20 February 2024through 27 February 2024, Vancouver, pp. 11606-11614.
Rao, N and Sundaram, S (2024) An Input-Output Feedback Linearization-Based Exponentially Stable Controller for Multi-UAV Payload Transport. In: World Scientific .
Majumder, R and Chakaravarthy, SS and Samahith, SA and Sundaram, S and Patel, H (2024) OA-PINN: Efficient Obstacle Avoidance for Autonomous Vehicle Safety with Physics-Informed Neural Networks. In: IEEE International Conference on Electronics, Computing and Communication Technologies, CONECCT 2024, 12 July 2024 through 14 July 2024, Bangalore.
Sikdar, A and Teotia, J and Sundaram, S (2024) SKD-Net: Spectral-based Knowledge Distillation in Low-Light Thermal Imagery for robotic perception. In: 2024 IEEE International Conference on Robotics and Automation, ICRA 2024, 13 May 2024through 17 May 2024, Yokohama, pp. 9041-9047.
Jana, RK and Majumder, R and Bharathwaj, KS and Sundaram, S (2024) Safe Deep Reinforcement Learning-Based Controller (SDRLC) for Autonomous Navigation of Planetary Rovers. In: 2024 IEEE Space, Aerospace and Defence Conference, SPACE 2024, 22 July 2024 through 23 July 2024, Bangalore, pp. 799-803.
Makam, R and Pramuk, MP and Thomas, S and Sundaram, S (2024) Spectrally Normalized Memory Neuron Network Based Navigation for Autonomous Underwater Vehicles in DVL-Denied Environment. In: OCEANS 2024 - Singapore, OCEANS 2024, 15 April 2024 through 18 April 2024, Singapore.
Jeyasothy, A and Ramasamy, S and Sundaram, S (2024) A gradient descent algorithm for SNN with time-varying weights for reliable multiclass interpretation. In: Applied Soft Computing, 161 .
Rao, N and Sundaram, S (2023) Integrated Decision Control Approach for Cooperative Safety-Critical Payload Transport in a Cluttered Environment. In: IEEE Transactions on Aerospace and Electronic Systems, 59 (6). pp. 8800-8811.
Pandit, M and Akhtar, MN and Sundaram, S and Sahoo, S and Manjunath, LE and Eswarappa, SM (2023) Termination codon readthrough of NNAT mRNA regulates calcium-mediated neuronal differentiation. In: Journal of Biological Chemistry, 299 (9).
Sikdar, A and Udupa, S and Gurunath, P and Sundaram, S (2023) DeepMAO: Deep Multi-scale Aware Overcomplete Network for Building Segmentation in Satellite Imagery. In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023, 17 - 24 June 2023, Vancouver, BC, Canada, pp. 487-496.
Sikdar, A and Udupa, S and Sundaram, S (2023) Fully Complex-Valued Deep Learning Model for Visual Perception. In: UNSPECIFIED.
Kandath, H and Ferdaus, MM and Ng, ZW and Zhou, B and Sundaram, S and Li, X and Jayavelu, S (2023) PASE: An autonomous sequential framework for the state estimation of dynamical systems. In: Expert Systems with Applications, 215 .
Sharma, M and Sundaram, S (2023) A geometric control approach for multi-UAV cooperative payload transfer. In: Nonlinear Dynamics .
Dutta, R and Kandath, H and Jayavelu, S and Xiaoli, L and Sundaram, S and Pack, D (2023) A decentralized learning strategy to restore connectivity during multi-agent formation control. In: Neurocomputing, 520 . pp. 33-45.
Thontepu, P and Goswami, BG and Tayal, M and Singh, N and Shyam Sundar, PI and Shyam Sundar, MG and Sundaram, S and Katewa, V and Kolathaya, S (2023) Collision Cone Control Barrier Functions for Kinematic Obstacle Avoidance in UGVs. In: UNSPECIFIED, pp. 293-298.
Rao, N and Sundaram, S and Raghavendra, V (2023) Computationally Light Spectrally Normalized Memory Neuron Network based Estimator for GPS-denied operation of Micro-UAV. In: UNSPECIFIED, pp. 1894-1899.
Kulkarni, E and Sundararajan, N and Sundaram, S (2023) Heli-Quad Design for Full-Attitude Fault-Tolerant Control Under Complete Failure of an Actuator. In: Unmanned Systems .
Mishra, S and Sundaram, S (2023) A Memory-Free Evolving Bipolar Neural Network for Efficient Multi-Label Stream Learning. In: UNSPECIFIED.
Velhal, S and Krishna Kishore, VS and Sundaram, S (2023) A Non-iterative Spatio-Temporal Multi-Task Assignments based Collision-free Trajectories for Music Playing Robots. In: UNSPECIFIED, pp. 275-280.
Gautam, C and Parameswaran, S and Mishra, A and Sundaram, S (2022) Tf-GCZSL: Task-free generalized continual zero-shot learning. In: Neural Networks, 155 . pp. 487-497.
Velhal, S and Sundaram, S and Sundararajan, N (2022) Dynamic Resource Allocation With Decentralized Multi-Task Assignment Approach for Perimeter Defense Problem. In: IEEE Transactions on Aerospace and Electronic Systems, 58 (4). pp. 3313-3325.
Aradhya, AMS and Sharma, G and Pratama, M and Sundaram, S (2022) Adaptive Latent Transformation (ALT) for classification of resting state - FMRI. In: 2022 IEEE Symposium Series on Computational Intelligence, SSCI 2022, 4-7 December 2022, Singapore, pp. 206-210.
Sikdar, A and Udupa, S and Sundaram, S and Sundararajan, N (2022) Fully Complex-valued Fully Convolutional Multi-feature Fusion Network(FC2MFN) for Building Segmentation of InSAR images. In: 2022 IEEE Symposium Series on Computational Intelligence, SSCI 2022, 4-7 December 2022, Singapore, pp. 581-587.
Debarshi, S and Sundaram, S and Sundararajan, N (2022) Robust EMRAN-aided coupled controller for autonomous vehicles. In: Engineering Applications of Artificial Intelligence, 110 .
Aradhya, AMS and Subbaraju, V and Sundaram, S and Sundararajan, N (2021) Discriminant Spatial Filtering Method (DSFM) for the identification and analysis of abnormal resting state brain activities. In: Expert Systems with Applications, 181 .
Jeyasothy, A and Ramasamy, S and Sundaram, S (2021) Meta-neuron learning based spiking neural classifier with time-varying weight model for credit scoring problem. In: Expert Systems with Applications, 178 .
Rao, N and Sundaram, S (2021) Spatio-Temporal Look-Ahead Trajectory Prediction using Memory Neural Network. In: 2021 International Joint Conference on Neural Networks, 18 - 22 July 2021, Shenzhen.
Mishra, S and Sundaram, S (2021) Self Regulated Learning Mechanism for Data Efficient Knowledge Distillation. In: Proceedings of the International Joint Conference on Neural Networks, 18 - 22 July 2021, Shenzhen.
Kumar, SP and Gautam, C and Sundaram, S (2021) Meta-cognition-based simple and effective approach to object detection. In: 2021 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2021, 6 - 11 June 2021, Virtual, Toronto, pp. 3795-3799.
Vidyadhara, BV and Tony, LA and Gadde, MS and Jana, S and Varun, VP and Bhise, AA and Sundaram, S and Ghose, D (2021) Design and integration of a drone based passive manipulator for capturing flying targets. In: Robotica .
Gadde, CS and Gadde, MS and Mohanty, N and Sundaram, S (2021) Fast Obstacle Avoidance Motion in Small Quadcopter operation in a Cluttered Environment. In: 7th IEEE International Conference on Electronics, Computing and Communication Technologies, 9-11 Jul 2021, Bangalore.
Dhanaprakaash, G and Jaiswal, B and Acharya, S and Kumar, A and Varman, AM and Shah, K and Gadde, MS and Mishra, S and Gopalan, A and Amrutur, B and Tyagi, H and Patil, P and Krishnapuram, R and Banerjee, SS and Sundaram, S (2021) Network Based Multi-Bot Awareness. In: 2021 International Conference on COMmunication Systems and NETworkS, COMSNETS 2021, 5-9 Jan 2021, Bangalore; India, pp. 138-139.
Dan, M and Srinivasan, S and Sundaram, S and Easwaran, A and Glielmo, L (2020) A Scenario-Based Branch-and-Bound Approach for MES Scheduling in Urban Buildings. In: IEEE Transactions on Industrial Informatics, 16 (12). pp. 7510-7520.
Samanta, S and Pratama, M and Sundaram, S and Srikanth, N (2020) Learning elastic memory online for fast time series forecasting. In: Neurocomputing, 390 . pp. 315-326.
Harikumar, K and Senthilnath, J and Sundaram, S (2020) Mission Aware Motion Planning (MAP) Framework with Physical and Geographical Constraints for a Swarm of Mobile Stations. In: IEEE Transactions on Cybernetics, 50 (3). pp. 1209-1219.
Machingal, P and Thousif, M and Dora, S and Sundaram, S (2020) Self-regulated Learning Algorithm for Distributed Coding Based Spiking Neural Classifier. In: 2020 International Joint Conference on Neural Networks, IJCNN 2020, 19-24 July 2020, United Kingdom.
