Develo** smart buildings to reduce indoor risks for safety and health of the elderly: A systematic and bibliometric analysis
As aging problem gets severe, more elderly people require better residences to support their
later lives. Considering complicated safety and health risks the elderly would encounter …
later lives. Considering complicated safety and health risks the elderly would encounter …
Dairy 4.0: intelligent communication ecosystem for the cattle animal welfare with blockchain and IoT enabled technologies
An intelligent ecosystem with real-time wireless technology is now playing a key role in
meeting the sustainability requirements set by the United Nations. Dairy cattle are a major …
meeting the sustainability requirements set by the United Nations. Dairy cattle are a major …
Dairy cattle rumen bolus developments with special regard to the applicable artificial intelligence (AI) methods
It is a well-known worldwide trend to increase the number of animals on dairy farms and to
reduce human labor costs. At the same time, there is a growing need to ensure economical …
reduce human labor costs. At the same time, there is a growing need to ensure economical …
Weight-quantized squeezenet for resource-constrained robot vacuums for indoor obstacle classification
Q Huang - AI, 2022 - mdpi.com
With the rapid development of artificial intelligence (AI) theory, particularly deep learning
neural networks, robot vacuums equipped with AI power can automatically clean indoor …
neural networks, robot vacuums equipped with AI power can automatically clean indoor …
IoT-based waste segregation with location tracking and air quality monitoring for smart cities
Massive human population, coupled with rapid urbanization, results in a substantial amount
of garbage that requires daily collection. In urban areas, garbage often accumulates around …
of garbage that requires daily collection. In urban areas, garbage often accumulates around …
Deep-learning-based network for lane following in autonomous vehicles
The research field of autonomous self-driving vehicles has recently become increasingly
popular. In addition, motion-planning technology is essential for autonomous vehicles …
popular. In addition, motion-planning technology is essential for autonomous vehicles …
CapsGaNet: Deep neural network based on capsule and GRU for human activity recognition
The advances in deep learning with the ability to automatically extract advanced features
have achieved a bright prospect for human activity recognition (HAR). However, the …
have achieved a bright prospect for human activity recognition (HAR). However, the …
A novel deep learning-based cooperative communication channel model for wireless underground sensor networks
K Radhakrishnan, D Ramakrishnan, OI Khalaf… - Sensors, 2022 - mdpi.com
Wireless Underground Sensor Networks (WUSNs) have been showing prospective
supervising application domains in the underground region of the earth through sensing …
supervising application domains in the underground region of the earth through sensing …
Automated COVID-19 and heart failure detection using DNA pattern technique with cough sounds
COVID-19 and heart failure (HF) are common disorders and although they share some
similar symptoms, they require different treatments. Accurate diagnosis of these disorders is …
similar symptoms, they require different treatments. Accurate diagnosis of these disorders is …
D2IFLN: Disentangled Domain-Invariant Feature Learning Networks for Domain Generalization
Domain generalization (DG) aims to learn a model that generalizes well to an unseen test
distribution. Mainstream methods follow the domain-invariant representational learning …
distribution. Mainstream methods follow the domain-invariant representational learning …