Edge AI: A taxonomy, systematic review and future directions
Abstract Edge Artificial Intelligence (AI) incorporates a network of interconnected systems
and devices that receive, cache, process, and analyse data in close communication with the …
and devices that receive, cache, process, and analyse data in close communication with the …
[HTML][HTML] A review of recent hardware and software advances in GPU-accelerated edge-computing Single-Board Computers (SBCs) for computer vision
Computer Vision (CV) has become increasingly important for Single-Board Computers
(SBCs) due to their widespread deployment in addressing real-world problems. Specifically …
(SBCs) due to their widespread deployment in addressing real-world problems. Specifically …
[HTML][HTML] An AI-Based Evaluation Framework for Smart Building Integration into Smart City
MMN Shahrabani, R Apanaviciene - Sustainability, 2024 - mdpi.com
The integration of smart buildings (SBs) into smart cities (SCs) is critical to urban
development, with the potential to improve SCs' performance. Artificial intelligence (AI) …
development, with the potential to improve SCs' performance. Artificial intelligence (AI) …
[HTML][HTML] Design and Enhancement of a Fog-Enabled Air Quality Monitoring and Prediction System: An Optimized Lightweight Deep Learning Model for a Smart Fog …
DB Pazhanivel, AN Velu, BS Palaniappan - Sensors, 2024 - mdpi.com
Effective air quality monitoring and forecasting are essential for safeguarding public health,
protecting the environment, and promoting sustainable development in smart cities …
protecting the environment, and promoting sustainable development in smart cities …
MobileH-Transformer: Enabling real-time leaf disease detection using hybrid deep learning approach for smart agriculture
Agriculture has produced the vast majority of food for the world's population throughout
human history and plays a significant role in the economies of many countries, particularly …
human history and plays a significant role in the economies of many countries, particularly …
[CITATION][C] A comprehensive review of embedded systems in autonomous vehicles: Trends, challenges, and future directions
S Sonko, EA Etukudoh… - World Journal …, 2024 - World Journal of Advanced …
A novel deep learning approach (Bi-xBcNet-96) considering green AI to discover breast cancer using mammography images
Clinical decision support systems (CDSSs) can effectively detect illnesses such as breast
cancer (BC) using a variety of medical imaging techniques. BC is a key factor contributing to …
cancer (BC) using a variety of medical imaging techniques. BC is a key factor contributing to …
[HTML][HTML] Thin-Film Technologies for Sustainable Building-Integrated Photovoltaics
This study investigates the incorporation of thin-film photovoltaic (TFPV) technologies in
building-integrated photovoltaics (BIPV) and their contribution to sustainable architecture …
building-integrated photovoltaics (BIPV) and their contribution to sustainable architecture …
[HTML][HTML] A Secure IIoT Environment That Integrates AI-Driven Real-Time Short-Term Active and Reactive Load Forecasting with Anomaly Detection: A Real-World …
The Industrial Internet of Things (IIoT) revolutionizes both industrial and residential
operations by integrating AI (artificial intelligence)-driven analytics with real-time monitoring …
operations by integrating AI (artificial intelligence)-driven analytics with real-time monitoring …
Enhanced Fault Diagnosis in Grid-Connected Photovoltaic Systems: Leveraging Transfer Learning and Ensemble Methods for Superior Accuracy
Early fault detection in photovoltaic grid-connected systems is crucial for optimizing energy
output and ensuring system reliability. However, challenges such as noise interference …
output and ensuring system reliability. However, challenges such as noise interference …