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[HTML][HTML] A brief review of machine learning algorithms in forest fires science
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 …
frequently around the world, early fire prediction and detection are necessary. To anticipate …
Harmony search algorithm and related variants: A systematic review
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 …
phenomenon that musicians repeatedly adjust the pitch of each instrument to finally achieve …
Internet of things and deep learning enabled elderly fall detection model for smart homecare
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 …
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, F Sun… - 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 …
coniferous forests. The rapid spread trend and strong destruction directly threaten the …
A deep learning model based on multi-objective particle swarm optimization for scene classification in unmanned aerial vehicles
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 …
light-weight imaging sensors has led to an interest in using them in various remote sensing …
[PDF][PDF] Review on forest fires detection and prediction using deep learning and drones
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 …
They strongly contribute to the global carbon cycle and sustain a wide variety of plant and …
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 …
development of smart unmanned systems. Internet of UAV (IoUAV) enables an unmanned …
Optimal Squeeze Net with Deep Neural Network-Based Arial Image Classification Model in Unmanned Aerial Vehicles.
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 …
applications due to their autonomous, inexpensive, and compact nature. Aerial image …
[HTML][HTML] Late acceptance hill climbing aided chaotic harmony search for feature selection: An empirical analysis on medical data
In today's era of data-driven digital society, there is a huge demand for optimized solutions
that essentially reduce the cost of operation, thereby aiming to increase productivity …
that essentially reduce the cost of operation, thereby aiming to increase productivity …
A novel metaheuristics with adaptive neuro-fuzzy inference system for decision making on autonomous unmanned aerial vehicle systems
Recently, autonomous systems have received considerable attention amongst research
communities and academicians. Unmanned aerial vehicles (UAVs) find useful in several …
communities and academicians. Unmanned aerial vehicles (UAVs) find useful in several …