|
|
|
|
|
Xiaonan Wang, Yang Guo and Yuan Gao
Non-terrestrial network (NTN) is a trending topic in the field of communication, as it shows promise for scenarios in which terrestrial infrastructure is unavailable. Unmanned autonomous intelligent systems (UAISs), as a physical form of artificial intel...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sheikh Muhammad Asher Iqbal, Mary Ann Leavitt, Imadeldin Mahgoub and Waseem Asghar
Cardiovascular disease is one of the leading causes of death in the world. Heart failure is a cardiovascular disease in which the heart is unable to pump sufficient blood to fulfill the body?s requirements and can lead to fluid overload. Traditional solu...
ver más
|
|
|
|
|
|
|
|
|
|
|
Fangling Leng, Fan Li, Yubin Bao, Tiancheng Zhang and Ge Yu
As graph models become increasingly prevalent in the processing of scientific data, the exploration of effective methods for the mining of meaningful patterns from large-scale graphs has garnered significant research attention. This paper delves into the...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yu Dai, Jiaming Fu, Zhen Gao and Lei Yang
Due to CPU and memory limitations, mobile IoT devices face challenges in handling delay-sensitive and computationally intensive tasks. Mobile edge computing addresses this issue by offloading tasks to the wireless network edge, reducing latency and energ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Albérico Travassos Rosário and Joana Carmo Dias
This study explores the transformative impact of IoT technologies on smart tourism, striving to boost operational efficiency and enrich the traveler experience. Using a systematic literature review with bibliometric analysis, we examined a sample of 83 s...
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
|
|
|
|
|
|
|
|
|
|
|
Ivonne Nuñez, Elia Esther Cano, Edmanuel Cruz and Carlos Rovetto
In recent years, the integration of new elements to the electric grid, such as electric vehicles and renewable energies, requires the evolution of the electric grid as we know it, making it necessary to optimize the processes of production, distribution,...
ver más
|
|
|
|
|
|
|
|
|
|
|
You-Kwang Wang and Chien-Yu Chen
As medical technology continues to evolve, the importance of real-time feedback from physiological signals is increasingly being recognized. The advent of the Internet of Things (IoT) has facilitated seamless connectivity between sensors and virtual netw...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shengwei Jia, Nianyu Zou, Songhai Xu and Min Cheng
In this paper, an illumination measurement system is proposed and experimentally demonstrated. The system consists of two parts, including the illumination acquisition module mounted on the UAV and the real-time display interface of the cloud platform wi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Prachi V. Wadatkar, Rosario G. Garroppo and Gianfranco Nencioni
Fifth-generation (5G) mobile networks fulfill the demands of critical applications, such as Ultra-Reliable Low-Latency Communication (URLLC), particularly in the automotive industry. Vehicular communication requires low latency and high computational cap...
ver más
|
|
|
|
|
|