[HTML][HTML] Early detection of earthquakes using iot and cloud infrastructure: A survey
Earthquake early warning systems (EEWS) are crucial for saving lives in earthquake-prone
areas. In this study, we explore the potential of IoT and cloud infrastructure in realizing a …
areas. In this study, we explore the potential of IoT and cloud infrastructure in realizing a …
Opportunities and challenges of artificial intelligence and distributed systems to improve the quality of healthcare service
The healthcare sector, characterized by vast datasets and many diseases, is pivotal in
shaping community health and overall quality of life. Traditional healthcare methods, often …
shaping community health and overall quality of life. Traditional healthcare methods, often …
A hybrid approach for latency and battery lifetime optimization in IoT devices through offloading and CNN learning
Offloading assists in overcoming the resource constraints of specific elements, making it one
of the primary technical enablers of the Internet of Things (IoT). IoT devices with low battery …
of the primary technical enablers of the Internet of Things (IoT). IoT devices with low battery …
[HTML][HTML] A survey on IoT-edge-cloud continuum systems: status, challenges, use cases, and open issues
The rapid growth in the number of interconnected devices on the Internet (referred to as the
Internet of Things—IoT), along with the huge volume of data that are exchanged and …
Internet of Things—IoT), along with the huge volume of data that are exchanged and …
Electrophysiology and hyperscanning applied to e-learning for organizational training
M Balconi, L Angioletti, F Cassioli - The Learning Organization, 2023 - emerald.com
Purpose The purpose of this study is to investigate the effects of the remote training process
on distance learning with the application of neurometrics and investigate the features of the …
on distance learning with the application of neurometrics and investigate the features of the …
[HTML][HTML] An investigation of the effectiveness of deepfake models and tools
With the development of computer vision and deep learning technologies, rapidly expanding
approaches have been introduced that allow anyone to create videos and pictures that are …
approaches have been introduced that allow anyone to create videos and pictures that are …
[HTML][HTML] Rapid and automated method for detecting and quantifying adulterations in high-quality honey using vis-NIRs in combination with machine learning
JLP Calle, I Punta-Sánchez, AV González-de-Peredo… - Foods, 2023 - mdpi.com
Honey is one of the most adulterated foods, usually through the addition of sweeteners or
low-cost honeys. This study presents a method based on visible near infrared spectroscopy …
low-cost honeys. This study presents a method based on visible near infrared spectroscopy …
Design of stochastic neural networks for the fifth order system of singular engineering model
The current investigations provides a stochastic platform using the computational Levenberg-
Marquardt Backpropagation (LMB) neural network (NN) approach, ie, LMB-NN for solving …
Marquardt Backpropagation (LMB) neural network (NN) approach, ie, LMB-NN for solving …
Sentiment induced phrase-based machine translation: Robustness analysis of PBSMT with senti-module
D Banik - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Every type of machine translation system (ie neural, statistical, rule-based machine
translation system) is equal important to build a sophistical hybrid machine translation …
translation system) is equal important to build a sophistical hybrid machine translation …
[HTML][HTML] A comprehensive review on internet of things task offloading in multi-access edge computing
With the rapid development of Internet of Things (IoT) technology, Terminal Devices (TDs)
are more inclined to offload computing tasks to higher-performance computing servers …
are more inclined to offload computing tasks to higher-performance computing servers …