[HTML][HTML] Research on the feasibility of applying GRU and attention mechanism combined with technical indicators in stock trading strategies

MC Lee - Applied Sciences, 2022 - mdpi.com
The vigorous development of Time Series Neural Network in recent years has brought many
potential possibilities to the application of financial technology. This research proposes a …

[HTML][HTML] Smart greenhouse construction and irrigation control system for optimal Brassica Juncea development

HX Huynh, LN Tran, N Duong-Trung - Plos one, 2023 - journals.plos.org
This paper contributes to smart greenhouses and IoT (Internet of Things) research. Our
pioneering achievement centers on successfully designing, constructing, and testing a 30m2 …

IoT-QWatch: A novel framework to support the development of quality aware autonomic IoT applications

K Fizza, PP Jayaraman, A Banerjee… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
The unprecedented growth of Internet of Things (IoT) is leading to its increased usage in
various domains, such as manufacturing, health, and smart cities. A majority of IoT …

Hybrid collaborative filtering model for consumer dynamic service recommendation based on mobile cloud information system

Q Zhou, W Zhuang, H Ren, Y Chen, B Yu, J Lou… - Information Processing …, 2022 - Elsevier
The rapid development of the web has led to a considerable increase in information
dissemination. Recently, personalized web service recommendation has become a popular …

[HTML][HTML] Navigating the sea of data: A comprehensive review on data analysis in maritime IoT applications

I Durlik, T Miller, D Cembrowska-Lech, A Krzemińska… - Applied Sciences, 2023 - mdpi.com
The Internet of Things (IoT) is significantly transforming the maritime industry, enabling the
generation of vast amounts of data that can drive operational efficiency, safety, and …

[HTML][HTML] A data-driven approach for predicting long-term degradation of a fleet of micro gas turbines

T Olsson, E Ramentol, M Rahman, M Oostveen… - Energy and AI, 2021 - Elsevier
Predictive health monitoring of micro gas turbines can significantly increase the availability
and reduce the operating and maintenance costs. Methods for predictive health monitoring …

An exploratory analysis of machine learning adaptability in big data analytics environments: A data aggregation in the age of big data and the internet of things

R Rajendran, P Sharma, NK Saran… - … in Technology and …, 2022 - ieeexplore.ieee.org
The paper discusses a new concept combining the potentialities of Big Data processing as
well as machine learning developed for security monitoring of mobile Internet of Things. The …

Systematic literature review on mechanisms to measure the technological maturity of the Internet of Things in enterprises

AFS Pino, PH Ruiz, A Mon, CA Collazos - Internet of Things, 2024 - Elsevier
Abstract The Internet of Things has emerged as a disruptive technological paradigm with
exponential growth and potential benefits for enterprises. However, assessing its …

[HTML][HTML] A fuzzy deep predictive analytics approach for enhancing cycle time range estimation precision in wafer fabrication

YC Wang, T Chen, TC Hsu - Decision Analytics Journal, 2021 - Elsevier
The cycle time of a wafer lot refers to the time that the wafer lot has experienced from its
input to output. Predicting the cycle time of each wafer lot is a crucial task for a wafer …

[HTML][HTML] Construction of a wireless sensing network system for leisure agriculture for cloud-based agricultural Internet of Things

Y Shen - Journal of Sensors, 2021 - hindawi.com
This paper provides an in-depth study and analysis of the construction of a cloud-based
agricultural Internet of Things system for a wireless sensing network system for leisure …