[HTML][HTML] Towards smart home automation using IoT-enabled edge-computing paradigm
Smart home applications are ubiquitous and have gained popularity due to the
overwhelming use of Internet of Things (IoT)-based technology. The revolution in …
overwhelming use of Internet of Things (IoT)-based technology. The revolution in …
A modified YOLOv5 architecture for efficient fire detection in smart cities
Fire disasters are considered to be among the most harmful hazards, causing fatalities,
ecological and economic chaos, property damage, and they can even impact climate …
ecological and economic chaos, property damage, and they can even impact climate …
[Retracted] Vision Sensor‐Based Real‐Time Fire Detection in Resource‐Constrained IoT Environments
Fire detection and management is very important to prevent social, ecological, and
economic damages. However, achieving real‐time fire detection with higher accuracy in an …
economic damages. However, achieving real‐time fire detection with higher accuracy in an …
[HTML][HTML] An effective skin cancer classification mechanism via medical vision transformer
Skin Cancer (SC) is considered the deadliest disease in the world, killing thousands of
people every year. Early SC detection can increase the survival rate for patients up to 70 …
people every year. Early SC detection can increase the survival rate for patients up to 70 …
An effective attention-based CNN model for fire detection in adverse weather conditions
Worldwide, fire disasters cause social, economic, and environmental damage, so their early
detection and instant response is crucial for saving lives and property, which is possible via …
detection and instant response is crucial for saving lives and property, which is possible via …
[HTML][HTML] Performance Evaluation of an IEEE 802.15. 4-Based Thread Network for Efficient Internet of Things Communications in Smart Cities
The increasing demand for Internet of Things (IoT) applications has resulted in vast amounts
of data, requiring the utilization of big data analytics. The integration of big data analytics in …
of data, requiring the utilization of big data analytics. The integration of big data analytics in …
[HTML][HTML] Visual intelligence in smart cities: a lightweight deep learning model for fire detection in an IoT environment
The recognition of fire at its early stages and stopping it from causing socioeconomic and
environmental disasters remains a demanding task. Despite the availability of convincing …
environmental disasters remains a demanding task. Despite the availability of convincing …
[HTML][HTML] An efficient pest detection framework with a medium-scale benchmark to increase the agricultural productivity
Insect pests and crop diseases are considered the major problems for agricultural
production, due to the severity and extent of their occurrence causing significant crop losses …
production, due to the severity and extent of their occurrence causing significant crop losses …
[HTML][HTML] Real-time face mask detection to ensure COVID-19 precautionary measures in the developing countries
Recently, the rapid transmission of Coronavirus 2019 (COVID-19) is causing a significant
health crisis worldwide. The World Health Organization (WHO) issued several guidelines for …
health crisis worldwide. The World Health Organization (WHO) issued several guidelines for …
[HTML][HTML] Attention-Based Ensemble Network for Effective Breast Cancer Classification over Benchmarks
Globally, breast cancer (BC) is considered a major cause of death among women.
Therefore, researchers have used various machine and deep learning-based methods for its …
Therefore, researchers have used various machine and deep learning-based methods for its …