Rakesh Reddy Yakkati, Sreenivasa Reddy Yeduri, Linga Reddy Cenkeramaddi, “Hand Gesture Classification Using Grayscale Thermal Images and Convolution Neural Network,” has been accepted in IEEE International Symposium on Smart Electronic Systems, 2021.
Muralidhar Reddy Challa, Abhinav Kumar and Linga Reddy Cenkeramaddi, “Face Recognition Using mmWave RADAR Imaging,” has been accepted in IEEE International Symposium on Smart Electronic Systems, 2021.
Daniel S. Breland, Aveen Dayal, Ajit Jha, Phaneendra K. Yalavarthy, Om J. Pandey, and Linga R. Cenkeramaddi, “Robust Hand Gestures Recognition using a Deep CNN and Thermal Images,” IEEE Sensors Journal 2021
Wilson A N, Y. Sreenivasa Reddy, Ajit Jha, Abhinav Kumar, Linga Reddy Cenkeramaddi, “Hybrid BLE/LTE/Wi-Fi/LoRa Switching Scheme for UAV-Assisted Wireless Networks,” has been accepted for publication in IEEE ANTS 2021, 13 – 16 December, Hyderabad, India.
The thesis titled “Hand Gestures Recognition using Thermal Images” done by the master student, Daniel Skomedal Breland under the supervision Prof. Linga Reddy Cenkeramaddi has been awarded the best master thesis in ICT for the year 2021.
The goal of this project is to develop a robust and reliable hand gesture recognition system using a thermal camera. Hand gestures are an important communication tool for many practical scenarios. It is used in a variety of applications, including medical, entertainment, and industrial settings. The use of human-robot interactions is growing, and there exists several methods. It is possible to gain access to tight and harsh places by using gestures. The majority of gesture recognition is done with RGB cameras, which has the disadvantage of not being able to recognize gestures in low-light situations. Thermal cameras can operate in low-light environments because they are unaffected by external light.
Arav Pandya, Ajit Jha, Linga Reddy Cenkeramaddi *, “A Velocity Estimation Technique using Camera for the Targets in the out of Field of View (FoV) of mmWaveFMCW Radars” has been accepted for publication in MDPI Electronics, 2021
Jitesh Choudhary, Soumya J, and Linga Reddy Cenkeramaddi, “RAMAN: Reinforcement learning inspired algorithm for mapping applications onto mesh Network-on-Chip” has been accepted for publication at the 23rd ACM/IEEE International Workshop on System-Level Interconnect Pathfinding (SLIP), 2021.
Henrik Bradland, Martin Choux and Linga Reddy Cenkeramaddi, “Point Cloud Instance Segmentation for Automatic Electric Vehicle Battery Disassembly”, Intelligent Technologies and Applications: 4th International Conference, INTAP 2021.
Jyoti Bhatia, Aveen Dayal, Ajit Jha, Santosh Kumar Vishvakarma, Soumya J., Srinivas M. B., Phaneendra K. Yalavarthy, Abhinav Kumar, V. Lalitha, Sagar Koorapati, and Linga Reddy Cenkeramaddi, “Classification of Targets using Statistical Features from Range FFT of mmWave FMCW Radars”, has been accepted for publication in the MDPI Electronics (Artificial Intelligence Circuits and Systems (AICAS)), 2021.
Prabhat Kumar Rai, Abhinav Kumar, Mohammed Zafar Ali Khan, and Linga Reddy Cenkeramaddi, “LTE-based Passive Radars and Applications: A Review,” has been accepted for publication in the International Journal of Remote Sensing, 2021.