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An accurate diagnosis of a brain tumour in its early stages is required to improve the possibility of survival for cancer patients. Due to the structural complexity of the brain, it has become very difficult and tedious for neurologists and ...

This paper aims to provide an in-depth analysis of the performance of various versions of the YOLO (You Only Look Once) object detection models and aims to provide a comparative perspective on the functioning of these models on a Raspberry Pi 8GB RAM ...

The rapid growth of subway passenger flow has brought enormous challenges to the operation and management of the subway system. The foundation for stable and efficient management of subway passenger flow is a deep understanding of subway passenger travel ...

Differently-disabled people having the disorders like paralysis, limb deficiency Amelia, or amputee. Various work was done on detecting and tracking the differently-abled people for the perception of people and their mobility aids. Different ...

• A model for detecting and tracking of the differently-abled people is presented disrupting machine learning models.
• Yolov3 and Yolov5 deep learning model for the detection and tracking of the differently-abled people is proposed.
• ...

Abstract — In this study, the researchers used the deep learning models YOLOv3, VGG16, and ResNet50 for functionalities and for comparing Facemask Detection System using the three different algorithms. The objective of this study is as follows: First is ...

In today's urban landscape, traffic congestion poses a significant and far-reaching problem impacting cities, economic development, and individual well-being. The root of this challenge lies in the ineffective traffic light management system. In this ...

Abnormal event detection is a hot topic in the field of intelligent monitoring, in which the sidewalk anomaly detection plays an important role. Aiming to solve the problems (e.g., time-consuming, laborious, easy to delay, omission, and occlusion) in ...

Even though deep learning models can be applied for the surface defect detection of industry products, it remains a challenge to widely deploy them on embedded carriers due to high computation and large memory requirements. To deal with this ...

Meteors in the United Arab Emirates are observed daily through the U.A.E. Meteor Monitoring Network (UAEMMN). As of September 2022, more than 40,000 meteors have been observed. However, the high sensitivity of the network also captures non-meteor ...

YOLOv3 is a state-of-the-art object detection algorithm mainly used to solve real-time tasks. However, this design struggles with scale variation, especially for extremely small or large objects. To improve scale variation, we re-design the Feature ...

Road accidents have been a significant problem in recent years. As per statistics, this is primarily due to the driver’s drowsy behavior. As an impact, many valuable lives have been lost in road accidents. So, a reliable system is ...

Pedestrian tracking is highly relevant to the understanding of static and moving scenes in video sequences. The increasing demand for people’s safety and security has resulted in more research on intelligent visual surveillance in a wide range of ...

Corona Virus Disease 2019 (COVID-19) is caused by Severe Acute Syndrome Corona Virus 2 (SARS-COV-2). It has become a pandemic disease of the 21st century, killing many lives. During this pandemic situation, precautious measures like social ...

Volunteer cotton (VC) plants growing in the fields of inter-seasonal and rotated crops, like corn, can serve as hosts to boll weevil pests once they reach pin-head square stage (5–6 leaf stage). The VC plants therefore need to be detected, ...

Deep learning-based target detection for optical remote sensing images is a significant research direction in the field of image processing. Different from natural images, remote sensing images are characterized by complex backgrounds, similarity ...

Pedestrian-vehicle interaction behavior analysis at non-signalized intersections has become the important content of traffic safety research. In this paper, we focus on presenting a processing framework for the analysis of pedestrian-vehicle ...

The main goal of the presented work is to optimize the developed intelligent system for recognizing and detecting vehicles on video data using the YOLOv3 convolutional neural network. Basic results are obtained for real work conditions with the ...

To solve the problems of complex model structure, large number of parameters, and high resource consumption that make it difficult to meet the real-time requirements of embedded target detection tasks, this paper proposed a lightweight target ...

COVID-19 pandemic has created a severe health emergency all over the globe since last couple of years and is still emerging in few countries. According to the World Health Organization (WHO), around 520 million cases and 6.2 million casualties due to ...

Nowadays, parking is much costlier and time consuming process in almost every big city, all over the world. The issue is that, the user couldn't find available parking space at time, and it found that cars may seek very limited parking space which ...