|
|
|
|
|
Nasour Bagheri, Ygal Bendavid, Masoumeh Safkhani and Samad Rostampour
A smart grid is an electricity network that uses advanced technologies to facilitate the exchange of information and electricity between utility companies and customers. Although most of the technologies involved in such grids have reached maturity, smar...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shunfang Hu, Shaoping Jiang, Qing Miao, Fan Yang, Weihong Zhou and Peng Duan
With the rise of the Internet of Things (IoT), maintaining data confidentiality and protecting user privacy have become increasingly challenging. End devices in the IoT are often deployed in unattended environments and connected to open networks, making ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Thanda Shwe and Masayoshi Aritsugi
Intelligent applications in several areas increasingly rely on big data solutions to improve their efficiency, but the processing and management of big data incur high costs. Although cloud-computing-based big data management and processing offer a promi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Danilo Pau, Andrea Pisani and Antonio Candelieri
In the context of TinyML, many research efforts have been devoted to designing forward topologies to support On-Device Learning. Reaching this target would bring numerous advantages, including reductions in latency and computational complexity, stronger ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Varsha S. Lalapura, Veerender Reddy Bhimavarapu, J. Amudha and Hariram Selvamurugan Satheesh
The Recurrent Neural Networks (RNNs) are an essential class of supervised learning algorithms. Complex tasks like speech recognition, machine translation, sentiment classification, weather prediction, etc., are now performed by well-trained RNNs. Local o...
ver más
|
|
|
|
|
|
|
|
|
|
|
Haleem Farman, Moustafa M. Nasralla, Sohaib Bin Altaf Khattak and Bilal Jan
Fire detection employing vision sensors has drawn significant attention within the computer vision community, primarily due to its practicality and utility. Previous research predominantly relied on basic color features, a methodology that has since been...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mohammed El-hajj, Hussien Mousawi and Ahmad Fadlallah
Highly constrained devices that are interconnected and interact to complete a task are being used in a diverse range of new fields. The Internet of Things (IoT), cyber-physical systems, distributed control systems, vehicular systems, wireless sensor netw...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jacob Bushur and Chao Chen
The introduction of artificial neural networks to speech recognition applications has sparked the rapid development and popularization of digital assistants. These digital assistants constantly monitor the audio captured by a microphone for a small set o...
ver más
|
|
|
|
|
|
|
|
|
|
|
Rio Arifando, Shinji Eto and Chikamune Wada
Object detection is crucial for individuals with visual impairment, especially when waiting for a bus. In this study, we propose a lightweight and highly accurate bus detection model based on an improved version of the YOLOv5 model. We propose integratin...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yarob Abdullah and Zeinab Movahedi
Two crucial challenges in Industry 4.0 involve maintaining critical latency requirements for data access and ensuring efficient power consumption by field devices. Traditional centralized industrial networks that provide rudimentary data distribution cap...
ver más
|
|
|
|
|
|