[HTML][HTML] Object detection using YOLO: Challenges, architectural successors, datasets and applications
Object detection is one of the predominant and challenging problems in computer vision.
Over the decade, with the expeditious evolution of deep learning, researchers have …
Over the decade, with the expeditious evolution of deep learning, researchers have …
[HTML][HTML] Deep learning for the industrial internet of things (iiot): A comprehensive survey of techniques, implementation frameworks, potential applications, and future …
The Industrial Internet of Things (IIoT) refers to the use of smart sensors, actuators, fast
communication protocols, and efficient cybersecurity mechanisms to improve industrial …
communication protocols, and efficient cybersecurity mechanisms to improve industrial …
EDL-COVID: Ensemble deep learning for COVID-19 case detection from chest X-ray images
Effective screening of COVID-19 cases has been becoming extremely important to mitigate
and stop the quick spread of the disease during the current period of COVID-19 pandemic …
and stop the quick spread of the disease during the current period of COVID-19 pandemic …
PulDi-COVID: Chronic obstructive pulmonary (lung) diseases with COVID-19 classification using ensemble deep convolutional neural network from chest X-ray …
YH Bhosale, KS Patnaik - Biomedical Signal Processing and Control, 2023 - Elsevier
Abstract Background and Objective In the current COVID-19 outbreak, efficient testing of
COVID-19 individuals has proven vital to limiting and arresting the disease's accelerated …
COVID-19 individuals has proven vital to limiting and arresting the disease's accelerated …
Occupant-density-detection based energy efficient ventilation system: Prevention of infection transmission
Ventilation plays an important role in prevention and control of COVID-19 in enclosed indoor
environment and specially in high-occupant-density indoor environments (eg, underground …
environment and specially in high-occupant-density indoor environments (eg, underground …
[HTML][HTML] Deep reinforcement learning for indoor mobile robot path planning
This paper proposes a novel incremental training mode to address the problem of Deep
Reinforcement Learning (DRL) based path planning for a mobile robot. Firstly, we evaluate …
Reinforcement Learning (DRL) based path planning for a mobile robot. Firstly, we evaluate …
[HTML][HTML] Multi-target recognition of bananas and automatic positioning for the inflorescence axis cutting point
F Wu, J Duan, S Chen, Y Ye, P Ai, Z Yang - Frontiers in plant science, 2021 - frontiersin.org
Multi-target recognition and positioning using robots in orchards is a challenging task in
modern precision agriculture owing to the presence of complex noise disturbance, including …
modern precision agriculture owing to the presence of complex noise disturbance, including …
[HTML][HTML] A comprehensive review of computer vision in sports: Open issues, future trends and research directions
Recent developments in video analysis of sports and computer vision techniques have
achieved significant improvements to enable a variety of critical operations. To provide …
achieved significant improvements to enable a variety of critical operations. To provide …
Exemplar Darknet19 feature generation technique for automated kidney stone detection with coronal CT images
Kidney stone is a commonly seen ailment and is usually detected by urologists using
computed tomography (CT) images. It is difficult and time-consuming to detect small stones …
computed tomography (CT) images. It is difficult and time-consuming to detect small stones …
[HTML][HTML] Statistical analysis of design aspects of various YOLO-based deep learning models for object detection
Object detection is a critical and complex problem in computer vision, and deep neural
networks have significantly enhanced their performance in the last decade. There are two …
networks have significantly enhanced their performance in the last decade. There are two …