Intelligent road management system for autonomous, non-autonomous, and VIP vehicles
Currently, autonomous vehicles, non-autonomous vehicles, and VIP (emergency)
autonomous cars are using intelligent road management techniques to interact with one …
autonomous cars are using intelligent road management techniques to interact with one …
Heart disease detection using feature extraction and artificial neural networks: A sensor-based approach
This study presents a novel technique for identifying individuals using feature extraction
methods and signal processing approaches. It uses an artificial neural network (ANN) …
methods and signal processing approaches. It uses an artificial neural network (ANN) …
Intelligent four-way crossroad safety management for autonomous, non-autonomous and VIP vehicles
In the current era, autonomous vehicles and non-autonomous vehicles are transforming and
adopting intelligent road management techniques to communicate with vehicles so that the …
adopting intelligent road management techniques to communicate with vehicles so that the …
Identification of Coronary Artery Disease using Extra Tree Classification
Caused by a shortage of oxygen-rich blood, cardiac artery disease occurs when coronary
arteries get blocked. Arterial occlusion decreases the heart's blood flow and hence its …
arteries get blocked. Arterial occlusion decreases the heart's blood flow and hence its …
Security Issues and Challenges for IoT-based Smart Multi Energy Carrier Systems
The Internet of Things (IoT) is revolutionizing the energy sector by providing a platform for
energy hubs to connect and manage energy resources. IoT-enabled energy hubs allow …
energy hubs to connect and manage energy resources. IoT-enabled energy hubs allow …
Wrist crack classification using deep learning and X-ray imaging
Wrist cracks are the most prevalent kind of crack and have a high incidence rate. Although
wrist cracks are often identified with X-ray medical imaging, the portrayal of cracks may …
wrist cracks are often identified with X-ray medical imaging, the portrayal of cracks may …
Al-based Traffic System: A Novel Approach
HA Sakr, A Yasser, E Elzimity, M Hazim… - … Middle East Power …, 2023 - ieeexplore.ieee.org
The notion of smart cities has recently gained popularity. We are experiencing traffic
congestion as the number of automobiles in metropolitan areas grows. The development of …
congestion as the number of automobiles in metropolitan areas grows. The development of …
RETRACTED ARTICLE: Spatio–temporal attention based real-time environmental monitoring systems for landslide monitoring and prediction
MVS Babu, N Ashokkumar, A Joshi… - Spatial Information …, 2024 - Springer
Due to their intense concealment and tremendous destructiveness during the course of their
lengthy growth, landslides are difficult to monitor. Landslide data gathering exhibits traits …
lengthy growth, landslides are difficult to monitor. Landslide data gathering exhibits traits …
[PDF][PDF] Detecting Three Different Diseases of Plants by Using CNN Model and Image Processing
Agricultural output is critical to Pakistan's economy, and plant disease detection is critical for
both the environment and human health. This work presents a CNN-based approach for …
both the environment and human health. This work presents a CNN-based approach for …
Machine Learning Model for Improving the Overall Equipment Effectiveness in Industrial Manufacturing Sites
Manufacturers have always pursued greater speed, scale, qualitative products and services,
and simplicity across operations to optimize production while enhancing efficiency and …
and simplicity across operations to optimize production while enhancing efficiency and …