Browsing NTNU Open by Author "Bavirisetti, Durga Prasad"
Now showing items 1-11 of 11
-
AI-enabled metaheuristic optimization for predictive management of renewable energy production in smart grids
Sankarananth, S.; Karthiga, M.; Suganya, E.; Sountharrajan, S.; Bavirisetti, Durga Prasad (Peer reviewed; Journal article, 2023)The integration of renewable energy sources into smart grids offers a promising solution for building sustainable and reliable energy systems. However, optimizing hybrid renewable energy systems remains a crucial area of ... -
A constructive non-local means algorithm for low-dose computed tomography denoising with morphological residual processing
Lepcha, Dawa Chyophel; Dogra, Ayush; Goyal, Bhawna; Goyal, Vishal; Kukreja, Vinay; Bavirisetti, Durga Prasad (Peer reviewed; Journal article, 2023)Low-dose computed tomography (LDCT) has attracted significant attention in the domain of medical imaging due to the inherent risks of normal-dose computed tomography (NDCT) based X-ray radiations to patients. However, ... -
Design of a medical decision-supporting system for the identification of brain tumors using entropy-based thresholding and non-local texture features
Reddy, K. Rasool; Batchu, Raj Kumar; Polinati, Srinivasu; Bavirisetti, Durga Prasad (Journal article; Peer reviewed, 2023)Introduction: Brain tumors arise due to abnormal growth of cells at any brain location with uneven boundaries and shapes. Usually, they proliferate rapidly, and their size increases by approximately 1.4% a day, resulting ... -
Efficient Deep Learning Based Hybrid Model to Detect Obstructive Sleep Apnea
Hemrajani, Prashant; Dhaka, Vijaypal Singh; Rani, Geeta; Shukla, Praveen; Bavirisetti, Durga Prasad (Peer reviewed; Journal article, 2023)An increasing number of patients and a lack of awareness about obstructive sleep apnea is a point of concern for the healthcare industry. Polysomnography is recommended by health experts to detect obstructive sleep apnea. ... -
Multi-Channel Assessment Policies for Energy-Efficient Data Transmission in Wireless Underground Sensor Networks
Soundararajan, Rajasoundaran; Stanislaus, Prince Mary; Ramasamy, Senthil Ganesh; Dhabliya, Dharmesh; Deshpande, Vivek; Sehar, Sountharrajan; Bavirisetti, Durga Prasad (Peer reviewed; Journal article, 2023)Wireless Underground Sensor Networks (WUGSNs) transmit data collected from underground objects such as water substances, oil substances, soil contents, and others. In addition, the underground sensor nodes transmit the ... -
A Multi-Task Vision Transformer for Segmentation and Monocular Depth Estimation for Autonomous Vehicles
Bavirisetti, Durga Prasad; Martinsen, Herman Ryen; Kiss, Gabriel Hanssen; Lindseth, Frank (Peer reviewed; Journal article, 2023)In this paper, we investigate the use of Vision Transformers for processing and understanding visual data in an autonomous driving setting. Specifically, we explore the use of Vision Transformers for semantic segmentation ... -
Personalization-based deep hybrid E-learning model for online course recommendation system
Subha, S.; Sankaralingam, Baghavathi Priya; Gurusamy, Anitha; Sehar, Sountharrajan; Bavirisetti, Durga Prasad (Peer reviewed; Journal article, 2023)Deep learning, a subset of artificial intelligence, gives easy way for the analytical and physical tasks to be done automatically. There is a less necessity for human intervention while performing these tasks. Deep hybrid ... -
A Pole Detection and Geospatial Localization Framework using LiDAR-GNSS Data Fusion
Bavirisetti, Durga Prasad; Kiss, Gabriel Hanssen; Lindseth, Frank (Chapter, 2024)The integration of Light Detection and Ranging (LiDAR) and Global Navigation Satellite System (GNSS) technologies marks a significant advancement in the fields of autonomous driving and intelligent transportation systems. ... -
Simulated RGB and LiDAR Image based Training of Object Detection Models in the Context of Autonomous Driving
Bavirisetti, Durga Prasad; Brobak, Eskild; Espen, Peder Hanch-Hansen; Kiss, Gabriel Hanssen; Lindseth, Frank (Peer reviewed; Journal article, 2023)The topic of object detection, which involves giving cars the ability to perceive their environment has drawn greater attention. For better performance, object detection algorithms often need huge datasets, which are ... -
Towards reliable IoT communication and robust security: investigating trusted schemes in the internet of medical things using blockchain
Rathee, Geetanjali; Maheswar, Rajagopal; Sehar, Sountharrajan; Bavirisetti, Durga Prasad (Peer reviewed; Journal article, 2023)The Internet of Things (IoT) is evolving in various sectors such as industries, healthcare, smart homes, and societies. Billions and trillions of IoT devices are used in e-health systems, known as the Internet of Medical ... -
Unfolded deep kernel estimation-attention UNet-based retinal image segmentation
Radha, K.; Yepuganti, Karuna; Saritha, Saladi; Kamireddy, Chinmayee; Bavirisetti, Durga Prasad (Peer reviewed; Journal article, 2023)Retinal vessel segmentation is a critical process in the automated inquiry of fundus images to screen and diagnose diabetic retinopathy. It is a widespread complication of diabetes that causes sudden vision loss. Automated ...