Real-time memory efficient multitask learning model for autonomous driving

S Miraliev, S Abdigapporov, V Kakani… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Develo** a self-driving system is a challenging task that requires a high level of scene
comprehension with real-time inference, and it is safety-critical. This study proposes a real …

Exploring diabetes through the lens of AI and computer vision: Methods and future prospects

R Chundi, G Sasikala, PK Basivi, A Tippana… - Computers in Biology …, 2025 - Elsevier
Early diagnosis and timely initiation of treatment plans for diabetes are crucial for ensuring
individuals' well-being. Emerging technologies like artificial intelligence (AI) and computer …

Joint multiclass object detection and semantic segmentation for autonomous driving

S Abdigapporov, S Miraliev, V Kakani, H Kim - IEEE Access, 2023 - ieeexplore.ieee.org
Object detection and semantic segmentation are two fundamental problems in autonomous
driving systems. As recent studies have illustrated the strong correlation between the two …

A Comprehensive Review of Food Recommendation Systems in the Context of Nutritional Therapy for Diabetes Mellitus

N Prabakaran, N Rajan, S Chagalasetty… - Current Nutrition & …, 2025 - benthamdirect.com
Food recommendation systems (FRS) have gained prominence for providing personalized
dietary recommendations. This paper explores the integration of FRS and nutritional therapy …

Clustering cum polar coordinate feature transformation (C-PCFT) approach to identify pores in carbonate rocks

PS Naulia, A Roy, J Watada, IA Aziz - IEEE Access, 2023 - ieeexplore.ieee.org
Most of the world's oil reserves and natural gas are stored within carbonate rock's pores and
fractures. Pores and fractures are quite popular for predicting the amount of petroleum under …

SpikeTOD: A Biologically Interpretable Spike-Driven Object Detection in Challenging Traffic Scenarios

J Wang, Y Chen, X Ji, Z Dong, M Gao… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Artificial neural networks (ANN) have shown remarkable performance in intelligent
transportation systems (ITS), especially for the traffic object detection. However, as the ITS is …

Optimizing Monocular Driving Assistance for Real-time Processing on Jetson AGX Xavier

HH Nguyen, DNN Tran, LH Pham, JW Jeon - IEEE Access, 2024 - ieeexplore.ieee.org
While computer vision and computing technology advances have facilitated advanced driver
assistance applications, systems with multi-task design remain highly demanding to operate …

Edge-enabled multi-agent system architecture for multimodal machine learning

EBL Coelho - 2023 - search.proquest.com
Public lighting, despite being one of the most important services a city must provide, it is also
one of the main sources of energy consumption and consequently running costs. One way to …