[HTML][HTML] Internet of Things in aquaculture: A review of the challenges and potential solutions based on current and future trends

H Rastegari, F Nadi, SS Lam, M Ikhwanuddin… - Smart Agricultural …, 2023 - Elsevier
Aquaculture produces nearly half of the seafood consumed by the ever-growing world
population. There have been attempts to adopt novel technologies into the industry to …

On the use of information fusion techniques to improve information quality: Taxonomy, opportunities and challenges

R Gutiérrez, V Rampérez, H Paggi, JA Lara, J Soriano - Information Fusion, 2022 - Elsevier
The information fusion field has recently been attracting a lot of interest within the scientific
community, as it provides, through the combination of different sources of heterogeneous …

Energy and delay efficient data acquisition in wireless sensor networks by selecting optimal visiting points for mobile sink

RK Verma, S Jain - Journal of Ambient Intelligence and Humanized …, 2023 - Springer
Data acquisition using mobile sink in wireless sensor networks (WSNs) has shown
significant advantages, especially in large-scale networks. Unlike the acquisition of sensor …

Optimized back propagation neural network using quasi-oppositional learning-based African vulture optimization algorithm for data fusion in wireless sensor networks

AA Qaffas - Sensors, 2023 - mdpi.com
A Wireless Sensor Network (WSN) is a group of autonomous sensors geographically
distributed for environmental monitoring and tracking purposes. Since the sensors in the …

A survey on event-driven and query-driven hierarchical routing protocols for mobile sink-based wireless sensor networks

S Jain, RK Verma, KK Pattanaik, A Shukla - The Journal of …, 2022 - Springer
The sink mobility in wireless sensor networks (WSNs) brings new challenges specifically
while designing the routing protocols. The advertisement of the mobile sink location to the …

Research on software design of intelligent sensor robot system based on multidata fusion

F Wu, X Liu, Y Wang - Journal of Sensors, 2021 - Wiley Online Library
With the advent of robots combined with artificial intelligence, robots have become an
indispensable part of production and life. Especially in recent years, the collaboration …

The application of machine learning in 3D/4D printed stimuli-responsive hydrogels

O Ejeromedoghene, M Kumi, E Akor, Z Zhang - Advances in Colloid and …, 2024 - Elsevier
The integration of machine learning (ML) in materials fabrication has seen significant
advancements in recent scientific innovations, particularly in the realm of 3D/4D printing. ML …

A heterogeneous soft-hard fusion framework on fog based private SaS model for smart monitoring of public restrooms

R Gore, S Banerjea, N Tyagi - Journal of Ambient Intelligence and …, 2023 - Springer
Usage of public restrooms, provided by the Indian government under “Clean India Mission”,
is limited due to negligence in manual supervision. This paper proposes an Internet of …

Multi-sensor data fusion technology for the early landslide warning system

M Chen, Z Cai, Y Zeng, Y Yu - Journal of Ambient Intelligence and …, 2023 - Springer
The triggering threshold is one of the most important methods for early warning of landslide
disasters. And the traditional method is to conduct a simple comparative analysis of the data …

Extreme learning machine optimized by artificial cell swarm optimization for the data fusion modal in WSNs

S Govindaraj, L Raja, S Velmurugan… - Peer-to-Peer Networking …, 2024 - Springer
Abstract Wireless Sensor Networks (WSNs) have gained substantial prominence in various
applications, like healthcare, and surveillance due to its data gathering ability. Effective data …