Real-time memory efficient multitask learning model for autonomous driving
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 …
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
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 …
individuals' well-being. Emerging technologies like artificial intelligence (AI) and computer …
Toxicity reduction of ZnO cauliflower-like structure through trivalent neodymium ion substitution and investigation via computer vision and AI image analysis
K Chandrasekaran, S Ramesh, V Kokkarachedu… - Materials Chemistry and …, 2024 - Elsevier
The synthesis of ZnO and ZNDO NPs was carried out via simple chemical precipitation. The
synthesized ZnO and ZNDO NPs exhibit hexagonal wurtzite structures from the XRD …
synthesized ZnO and ZNDO NPs exhibit hexagonal wurtzite structures from the XRD …
Joint multiclass object detection and semantic segmentation for autonomous driving
Object detection and semantic segmentation are two fundamental problems in autonomous
driving systems. As recent studies have illustrated the strong correlation between the two …
driving systems. As recent studies have illustrated the strong correlation between the two …
Implementation of Field-Programmable Gate Array Platform for Object Classification Tasks Using Spike-Based Backpropagated Deep Convolutional Spiking Neural …
This paper investigates the performance of deep convolutional spiking neural networks
(DCSNNs) trained using spike-based backpropagation techniques. Specifically, the study …
(DCSNNs) trained using spike-based backpropagation techniques. Specifically, the study …
Enhanced encoder–decoder architecture for visual perception multitasking of autonomous driving
Visual perception plays a vital role in autonomous driving systems, demanding high
accuracy and real-time inference speed to ensure safety. In this paper, we propose a multi …
accuracy and real-time inference speed to ensure safety. In this paper, we propose a multi …
UF-Net: A unified network for panoptic driving perception with two-stage feature refinement
Z Zhou, P Liu, H Huang - Expert Systems with Applications, 2025 - Elsevier
The panoptic driving perception system stands as a pivotal element in autonomous driving,
encapsulating the detection of traffic objects, the segmentation of drivable areas, and the …
encapsulating the detection of traffic objects, the segmentation of drivable areas, and the …
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 …
dietary recommendations. This paper explores the integration of FRS and nutritional therapy …
An Efficient Maximum Entropy Approach with Consensus Constraints for Robust Geometric Fitting
Robust geometric fitting is one of the crucial and fundamental problems in computer vision
and pattern recognition. While random sampling and consensus maximization have been …
and pattern recognition. While random sampling and consensus maximization have been …