The paper titled “Embedded Sensors, Communication Technologies, Computing Platforms and Machine Learning for UAVs: A Review” has been selected to be published in the IEEE Sensors Journal as a Featured Article in Issue 3. This honor has been extended to all authors since the paper has been considered of high interest to the scientific community in the multi-disciplinary domain.
The paper titled “Embedded Sensors, Communication Technologies, Computing Platforms and Machine Learning for UAVs: A Review,” has been accepted for publication in IEEE Sensors Journal (2021).
Wilson A N, Abhinav Kumar, Ajit Jha and Linga Reddy Cenkeramaddi, “Embedded Sensors, Communication Technologies, Computing Platforms and Machine Learning for UAVs: A Review,” has been accepted for publication in IEEE Sensors Journal (2021).
The paper titled, “Enhanced User Grouping and Pairing Scheme for CoMP-NOMA-based Cellular Networks” has been accepted for publication in IEEE COMSNETS 2022.
Akhileswar Chowdary, Garima Chopra, Abhinav Kumar and Linga Reddy Cenkeramaddi, “Enhanced User Grouping and Pairing Scheme for CoMP-NOMA-based Cellular Networks” has been accepted for publication in IEEE COMSNETS 2022.
The paper titled “Localization of Multi-class on-Road and Aerial Targets using mmWave FMCW Radar,” has been accepted for publication in MDPI Electronics (2021).
Khushi Gupta, Soumya J., M.B. Srinivas, Srinivas Boppu, M. Manikandan Sabarimalai, LINGA REDDY CENKERAMADDI *, “Localization of Multi-class on-Road and Aerial Targets using mmWave FMCW Radar,” has been accepted for publication in MDPI Electronics (2021).
Two journal articles have been accepted. One in the Elsevier Pervasive and Mobile Computing Journal and the other one in the IEEE Photonics Journal.
Yeduri Sreenivasa Reddy, Abhinav Kumar , Om Jee Pandey, and Linga Reddy Cenkeramaddi, “Spectrum Cartography Techniques, Challenges, Opportunities, and Applications: A Survey” has been accepted for publication in the Elsevier Pervasive and Mobile Computing Journal.
Venkata satya chidambara swamy Vaddadi, Saidi Reddy Parne, Vijeesh V. P., Suman Gandi and Linga Reddy Cenkeramaddi, “Design and Implementation of Density Sensor for Liquids using Fiber Bragg Grating Sensor,” has been accepted for publication in the IEEE Photonics Journal.
The paper titled “Radio Frequency Spectrum Sensing by Automatic Modulation Classification in Cognitive Radio System using Multiscale Deep CNN,” has been accepted for publication in the IEEE Sensors Journal (2021).
Rajesh Reddy Yakkati, Rakesh Reddy Yakkati, Rajesh Kumar Tripathy and Linga Reddy Cenkeramaddi, “Radio Frequency Spectrum Sensing by Automatic Modulation Classification in Cognitive Radio System using Multiscale Deep CNN,” has been accepted for publication in the IEEE Sensors Journal (2021).
Two papers are accepted in IEEE iSES 2021.
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.
The paper titled, “Robust Hand Gestures Recognition using a Deep CNN and Thermal Images,” has been accepted for publication in the IEEE Sensors Journal.
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
The article titled, “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.
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 Best Master’s Thesis in Information and Communication Technologies – 2021
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.