A brief review of machine learning algorithms in forest fires science

R Alkhatib, W Sahwan, A Alkhatieb, B Schütt - Applied Sciences, 2023 - mdpi.com
Due to the harm forest fires cause to the environment and the economy as they occur more
frequently around the world, early fire prediction and detection are necessary. To anticipate …

Harmony search algorithm and related variants: A systematic review

F Qin, AM Zain, KQ Zhou - Swarm and Evolutionary Computation, 2022 - Elsevier
Harmony search (HS) algorithm is a novel metaheuristic algorithm, inspired by the
phenomenon that musicians repeatedly adjust the pitch of each instrument to finally achieve …

A deep learning model based on multi-objective particle swarm optimization for scene classification in unmanned aerial vehicles

A Rajagopal, GP Joshi, A Ramachandran… - IEEE …, 2020 - ieeexplore.ieee.org
Recently, the increase in inexpensive and compact unmanned aerial vehicles (UAVs) and
light-weight imaging sensors has led to an interest in using them in various remote sensing …

Internet of things and deep learning enabled elderly fall detection model for smart homecare

T Vaiyapuri, EL Lydia, MY Sikkandar, VG Díaz… - IEEE …, 2021 - ieeexplore.ieee.org
Recently, the techniques of Internet of Things (IoT) and mobile communications have been
developed to gather human and environment information data for a variety of intelligent …

A remote sensing and airborne edge-computing based detection system for pine wilt disease

F Li, Z Liu, W Shen, Y Wang, Y Wang, C Ge… - IEEE …, 2021 - ieeexplore.ieee.org
The pine wilt disease (PWD) is one of the most dangerous and destructive diseases to
coniferous forests. The rapid spread trend and strong destruction directly threaten the …

[PDF][PDF] Review on forest fires detection and prediction using deep learning and drones

M Yandouzi, M Grari, I Idrissi, O Moussaoui… - J. Theor. Appl. Inf …, 2022 - researchgate.net
Forests everywhere in the world are essential components for protecting the biosphere.
They strongly contribute to the global carbon cycle and sustain a wide variety of plant and …

Optimal Squeeze Net with Deep Neural Network-Based Arial Image Classification Model in Unmanned Aerial Vehicles.

M MS, SR SS - Traitement du Signal, 2022 - search.ebscohost.com
In present times, unmanned aerial vehicles (UAVs) are widely employed in several real time
applications due to their autonomous, inexpensive, and compact nature. Aerial image …

A novel metaheuristics with adaptive neuro-fuzzy inference system for decision making on autonomous unmanned aerial vehicle systems

M Ragab, EB Ashary, WH Aljedaibi, IR Alzahrani… - ISA transactions, 2023 - Elsevier
Recently, autonomous systems have received considerable attention amongst research
communities and academicians. Unmanned aerial vehicles (UAVs) find useful in several …

Machine learning techniques in internet of UAVs for smart cities applications

FA Alqurashi, F Alsolami… - Journal of Intelligent …, 2022 - content.iospress.com
Recently, there were much interest in technology which has emerged greatly to the
development of smart unmanned systems. Internet of UAV (IoUAV) enables an unmanned …

Computer vision for fire detection on UAVs—From software to hardware

SS Moumgiakmas, GG Samatas, GA Papakostas - Future Internet, 2021 - mdpi.com
Fire hazard is a condition that has potentially catastrophic consequences. Artificial
intelligence, through Computer Vision, in combination with UAVs has assisted dramatically …