[HTML][HTML] Artificial Intelligence for skeleton-based physical rehabilitation action evaluation: A systematic review

S Sardari, S Sharifzadeh, A Daneshkhah… - Computers in Biology …, 2023 - Elsevier
Performing prescribed physical exercises during home-based rehabilitation programs plays
an important role in regaining muscle strength and improving balance for people with …

An improved fire detection approach based on YOLO-v8 for smart cities

FM Talaat, H ZainEldin - Neural Computing and Applications, 2023 - Springer
Fires in smart cities can have devastating consequences, causing damage to property, and
endangering the lives of citizens. Traditional fire detection methods have limitations in terms …

DeepFire: A novel dataset and deep transfer learning benchmark for forest fire detection

A Khan, B Hassan, S Khan, R Ahmed… - Mobile Information …, 2022 - Wiley Online Library
Forest fires pose a potential threat to the ecological and environmental systems and natural
resources, impacting human lives. However, automated surveillance system for early forest …

[HTML][HTML] Video surveillance using deep transfer learning and deep domain adaptation: Towards better generalization

Y Himeur, S Al-Maadeed, H Kheddar… - … Applications of Artificial …, 2023 - Elsevier
Recently, developing automated video surveillance systems (VSSs) has become crucial to
ensure the security and safety of the population, especially during events involving large …

Ffirenet: Deep learning based forest fire classification and detection in smart cities

S Khan, A Khan - Symmetry, 2022 - mdpi.com
Forests are a vital natural resource that directly influences the ecosystem. Recently, forest
fire has been a serious issue due to natural and man-made climate effects. For early forest …

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 …

Deep Learning‐Based Wildfire Image Detection and Classification Systems for Controlling Biomass

M Prakash, S Neelakandan… - … Journal of Intelligent …, 2023 - Wiley Online Library
Forests are essential natural resources that directly impact the ecosystem. However, the
rising frequency of forest fires due to natural and artificial climate change has become a …

AUnet: A deep learning framework for surface water channel mapping using large-coverage remote sensing images and sparse scribble annotations from OSM data

S Mazhar, G Sun, A Bilal, B Hassan, Y Li, J Zhang… - Remote Sensing, 2022 - mdpi.com
Water is a vital component of life that exists in a variety of forms, including oceans, rivers,
ponds, streams, and canals. The automated methods for detecting, segmenting, and …

SIPFormer: Segmentation of multiocular biometric traits with transformers

B Hassan, T Hassan, R Ahmed… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The advancements in machine vision have opened up new avenues for implementing
multimodal biometric identification systems for real-world applications. These systems can …

SkinViT: A transformer based method for Melanoma and Nonmelanoma classification

S Khan, A Khan - Plos one, 2023 - journals.plos.org
Over the past few decades, skin cancer has emerged as a major global health concern. The
efficacy of skin cancer treatment greatly depends upon early diagnosis and effective …