Brain tumor detection based on deep learning approaches and magnetic resonance imaging

AB Abdusalomov, M Mukhiddinov, TK Whangbo - Cancers, 2023 - mdpi.com
Simple Summary In this research, we addressed the challenging task of brain tumor
detection in MRI scans using a large collection of brain tumor images. We demonstrated that …

Recent advances and emerging directions in fire detection systems based on machine learning algorithms

BM Diaconu - Fire, 2023 - mdpi.com
Fire detection is a critical safety issue due to the major and irreversible consequences of fire,
from economic prejudices to loss of life. It is therefore of utmost importance to design …

An improved wildfire smoke detection based on YOLOv8 and UAV images

SN Saydirasulovich, M Mukhiddinov, O Djuraev… - Sensors, 2023 - mdpi.com
Forest fires rank among the costliest and deadliest natural disasters globally. Identifying the
smoke generated by forest fires is pivotal in facilitating the prompt suppression of developing …

Wildfire Hotspots Forecasting and Mapping for Environmental Monitoring Based on the Long Short-Term Memory Networks Deep Learning Algorithm

EA Kadir, HT Kung, AA AlMansour, H Irie, SL Rosa… - Environments, 2023 - mdpi.com
Global warming is raising the earth's temperature, and resulting in increased forest fire
events, especially in tropical regions with locations that are at high risk of wild and forest …

AI-Enhanced Gas Flares Remote Sensing and Visual Inspection: Trends and Challenges

M Al Radi, P Li, S Boumaraf, J Dias, N Werghi… - IEEE …, 2024 - ieeexplore.ieee.org
The real-time analysis of gas flares is one of the most challenging problems in the operation
of various combustion-involving industries, such as oil and gas refineries. Despite the crucial …

A Real-Time Semantic Segmentation Method Based on STDC-CT for Recognizing UAV Emergency Landing Zones

B Jiang, Z Chen, J Tan, R Qu, C Li, Y Li - Sensors, 2023 - mdpi.com
With the accelerated growth of the UAV industry, researchers are paying close attention to
the flight safety of UAVs. When a UAV loses its GPS signal or encounters unusual …

Efficient Detection of Forest Fire Smoke in UAV Aerial Imagery Based on an Improved Yolov5 Model and Transfer Learning

H Yang, J Wang, J Wang - Remote Sensing, 2023 - mdpi.com
Forest fires pose severe challenges to forest management because of their unpredictability,
extensive harm, broad impact, and rescue complexities. Early smoke detection is pivotal for …

YOLO-Based Models for Smoke and Wildfire Detection in Ground and Aerial Images

LAO Gonçalves, R Ghali, MA Akhloufi - Fire, 2024 - mdpi.com
Wildland fires negatively impact forest biodiversity and human lives. They also spread very
rapidly. Early detection of smoke and fires plays a crucial role in improving the efficiency of …

An image-based fire monitoring algorithm resistant to fire-like objects

F Xu, X Zhang, T Deng, W Xu - Fire, 2023 - mdpi.com
Due to its wide monitoring range and low cost, visual-based fire detection technology is
commonly used for fire detection in open spaces. However, traditional fire detection …

Intelligent Methods for Forest Fire Detection Using Unmanned Aerial Vehicles

N Abramov, Y Emelyanova, V Fralenko, V Khachumov… - Fire, 2024 - mdpi.com
This research addresses the problem of early detection of smoke and open fire on the
observed territory by unmanned aerial vehicles. We solve the tasks of improving the quality …