[HTML][HTML] Managing the strategic transformation of higher education through artificial intelligence

B George, O Wooden - Administrative Sciences, 2023 - mdpi.com
Considering the rapid advancements in artificial intelligence (AI) and their potential
implications for the higher education sector, this article seeks to critically evaluate the …

[HTML][HTML] Deep learning in diverse intelligent sensor based systems

Y Zhu, M Wang, X Yin, J Zhang, E Meijering, J Hu - Sensors, 2022 - mdpi.com
Deep learning has become a predominant method for solving data analysis problems in
virtually all fields of science and engineering. The increasing complexity and the large …

Artificial ecosystem optimization with deep learning enabled water quality prediction and classification model

N Islam, K Irshad - Chemosphere, 2022 - Elsevier
The majority of what is needed to maintain life is found in the approximately 70 percent of
the earth's surface that is composed of water. Water quality has been deteriorating at an …

[HTML][HTML] Energy-agriculture nexus: Exploring the future of artificial intelligence applications

M Kabir, S Ekici - Energy Nexus, 2023 - Elsevier
Energy and agriculture are two independent sectors that share a mutual coexistence
referred to as the energy-agriculture nexus. In an attempt to facilitate the capacity of this …

Analysis of region of interest (RoI) of brain for detection of depression using EEG signal

S Mahato, S Paul - Multimedia Tools and Applications, 2024 - Springer
Depression is a psychiatric disorder that has a negative impact on a person's development,
such as how they think, feel, and behave. Electroencephalogram (EEG) signal can act as …

[HTML][HTML] Traffic-aware secured cooperative framework for IoT-based smart monitoring in precision agriculture

I Abunadi, A Rehman, K Haseeb, L Parra, J Lloret - Sensors, 2022 - mdpi.com
In recent decades, networked smart devices and cutting-edge technology have been
exploited in many applications for the improvement of agriculture. The deployment of smart …

[HTML][HTML] A Multi-Criteria Decision-Making Process for the Selection of an Efficient and Reliable IoT Application

B Alojaiman - Processes, 2023 - mdpi.com
Saudi Arabia initiated its much-anticipated Vision 2030 campaign, a long-term economic
roadmap aimed at reducing the country's reliance on oil. The vision, which is anticipated to …

Multi-objective fuzzy krill herd congestion control algorithm for WSN

KA Bhatti, S Asghar, S Naz - Multimedia Tools and Applications, 2024 - Springer
Abstract Wireless Sensor Network (WSN) consists of hundreds of devices with limited
resources that collect, analyze, and transmit data to a base station. The carry-send nature …

Water quality assessment of deep learning-improved comprehensive pollution index: a case study of Dagu River, Jiaozhou Bay, China

H Yang, C Jia, F Yang, X Yang, R Wei - Environmental Science and …, 2023 - Springer
In the past few decades, with the country's rapid development, water pollution has become a
significant problem many countries face. Most of the existing water quality evaluation uses a …

Arithmetic optimization algorithm with machine learning based smart irrigation system in IoT environment

M Aruna, PB Narayana, SN Kumar… - 2023 Fifth …, 2023 - ieeexplore.ieee.org
An integration of new technologies like agro-hydroinformatics and computational
intelligence, and information technology (IT) roles a vital play in developing a sustainable …