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Opportunities, applications, and challenges of edge-AI enabled video analytics in smart cities: a systematic review
Video analytics with deep learning techniques has generated immense interest in academia
and industry, captivating minds with its transformative potential. Deep learning techniques …
and industry, captivating minds with its transformative potential. Deep learning techniques …
[HTML][HTML] Deep learning ensemble-based automated and high-performing recognition of coffee leaf disease
Coffee is the world's most traded tropical crop, accounting for most export profits, and is a
significant source of income for the countries in which it is produced. To meet the needs of …
significant source of income for the countries in which it is produced. To meet the needs of …
[HTML][HTML] Denial of service attack classification using machine learning with multi-features
The exploitation of internet networks through denial of services (DoS) attacks has
experienced a continuous surge over the past few years. Despite the development of …
experienced a continuous surge over the past few years. Despite the development of …
A novel front door security (FDS) algorithm using GoogleNet-BiLSTM hybridization
Security has always been a significant concern since the dawn of human civilization. That is
why we build houses to keep ourselves and our belongings safe. And we do not hesitate to …
why we build houses to keep ourselves and our belongings safe. And we do not hesitate to …
[HTML][HTML] White blood cell classification using texture and RGB features of oversampled microscopic images
White blood cell (WBC) type classification is a task of significant importance for diagnosis
using microscopic images of WBC, which develop immunity to fight against infections and …
using microscopic images of WBC, which develop immunity to fight against infections and …
[HTML][HTML] Railway track fault detection using selective MFCC features from acoustic data
Railway track faults may lead to railway accidents and cause human and financial loss.
Spatial, temporal, and weather elements, and wear and tear, lead to ballast, loose nuts …
Spatial, temporal, and weather elements, and wear and tear, lead to ballast, loose nuts …
[HTML][HTML] Cloud iaas optimization using machine vision at the iot edge and the grid sensing algorithm
Security grids consisting of High-Definition (HD) Internet of Things (IoT) cameras are gaining
popularity for organizational perimeter surveillance and security monitoring. Transmitting HD …
popularity for organizational perimeter surveillance and security monitoring. Transmitting HD …
Securing IoT with deep federated learning: A trust-based malicious node identification approach
The Internet of Things (IoT) has revolutionized the world with its diverse applications and
smart connected devices. These IoT devices communicate with each other without human …
smart connected devices. These IoT devices communicate with each other without human …
FogTrust: fog-integrated multi-leveled trust management mechanism for internet of things
The Internet of Things (IoT) is widely used to reduce human dependence. It is a network of
interconnected smart devices with internet connectivity that can send and receive data …
interconnected smart devices with internet connectivity that can send and receive data …
[HTML][HTML] Empowering lower limb disorder identification through PoseNet and artificial intelligence
A novel approach is presented in this study for the classification of lower limb disorders, with
a specific emphasis on the knee, hip, and ankle. The research employs gait analysis and the …
a specific emphasis on the knee, hip, and ankle. The research employs gait analysis and the …