A robust IoT-based cloud model for COVID-19 prediction using advanced machine learning technique
ME Elaraby, AA Ewees, AM Anter - Biomedical Signal Processing and …, 2024 - Elsevier
Due to the rapid spread of COVID-19, an urgent need arose for a quick and accurate
diagnosis approach. The well-known RT-PCR test is often unavailable and too costly for …
diagnosis approach. The well-known RT-PCR test is often unavailable and too costly for …
Hybrid descriptor definition for content based image classification using fusion of handcrafted features to convolutional neural network features
The efficacy of content-based image classification is dependent on the richness of the
feature vectors extracted from the image data. Traditional feature extraction techniques …
feature vectors extracted from the image data. Traditional feature extraction techniques …
Object counting using KAZE features under different lighting conditions for inventory management
Inventory management in an automated industrial environment is the foremost requirement
in order to shorten the gap between demand and supply. It comprises of object identification …
in order to shorten the gap between demand and supply. It comprises of object identification …
[HTML][HTML] Design, proof-of-concept of single robotic hair transplant mechanisms for both harvest and implant of hair grafts
R Thuangtong, J Suthakorn - Computational and Structural Biotechnology …, 2024 - Elsevier
The design and development of a prototype for a singular robotic hair transplant system
capable of harvesting and implanting hair grafts were executed in this study. To establish a …
capable of harvesting and implanting hair grafts were executed in this study. To establish a …
Big data analytics and classification of cardiovascular disease using machine learning
Hundreds of people dying from heart disease almost every day that is how terrific a delayed
diagnosis can be. Living in an advanced era full of intelligent systems, the increasing …
diagnosis can be. Living in an advanced era full of intelligent systems, the increasing …
DCM3-YOLOv4: A Real-Time Multi-Object Detection Framework
B Guo, H Wang, L **, Z Han, S Zhang - Automotive Innovation, 2024 - Springer
The key issues for roadside sensing system (RSS) include achieving accuracy and real-time
sharing of over-horizon perception information. This study proposes a novel and efficient …
sharing of over-horizon perception information. This study proposes a novel and efficient …
[BOOK][B] Artificial intelligent algorithms for image dehazing and non-uniform illumination enhancement
This book offers a detailed insight of artificial intelligence (AI) algorithms for image dehazing
and non-uniform illumination enhancement. In this book, various image enhancement …
and non-uniform illumination enhancement. In this book, various image enhancement …
An efficient algorithm for image haze removal in outdoor environment
Computer vision applications in outdoor environment are mainly affected by factors such as
pollution, clouds, shadow, haze, fog. Herein, an algorithm for real-time haze detection and …
pollution, clouds, shadow, haze, fog. Herein, an algorithm for real-time haze detection and …
Multi-faced object recognition in an image for inventory counting
Herein, an approach is presented to count objects in an image with different viewpoints. The
multiple views of prototype have been used to get the viewpoint invariance in Speeded Up …
multiple views of prototype have been used to get the viewpoint invariance in Speeded Up …
Detection of dust deposition using convolutional neural network for heritage images
This paper presents a vision-based approach for heritage image classification and condition
monitoring to preserve the historical facts. The proposed approach uses convolutional …
monitoring to preserve the historical facts. The proposed approach uses convolutional …