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Machine learning optimization techniques: a Survey, classification, challenges, and Future Research Issues
Optimization approaches in machine learning (ML) are essential for training models to
obtain high performance across numerous domains. The article provides a comprehensive …
obtain high performance across numerous domains. The article provides a comprehensive …
Drone cybersecurity issues, solutions, trend insights and future perspectives: a survey
This paper presented an exhaustive survey on the security and privacy issues of drones.
These security concerns were thoroughly dissected, particularly the aspect of cybersecurity …
These security concerns were thoroughly dissected, particularly the aspect of cybersecurity …
Robust human locomotion and localization activity recognition over multisensory
Human activity recognition (HAR) plays a pivotal role in various domains, including
healthcare, sports, robotics, and security. With the growing popularity of wearable devices …
healthcare, sports, robotics, and security. With the growing popularity of wearable devices …
A secure intrusion detection platform using blockchain and radial basis function neural networks for internet of drones
The Internet of Drones (IoD) is built on the Internet of Things (IoT) by replacing “Things” with
“Drones” while retaining incomparable features. Because of its vital applications, IoD …
“Drones” while retaining incomparable features. Because of its vital applications, IoD …
[HTML][HTML] M2M communication performance for a noisy channel based on latency-aware source-based LTE network measurements
Abstract The phrase" Machine-to-Machine"(M2M) communication has gained widespread
usage owing to the growing understanding of the Internet of Things. In the upcoming years, it …
usage owing to the growing understanding of the Internet of Things. In the upcoming years, it …
Remote intelligent perception system for multi-object detection
Introduction During the last few years, a heightened interest has been shown in classifying
scene images depicting diverse robotic environments. The surge in interest can be attributed …
scene images depicting diverse robotic environments. The surge in interest can be attributed …
Innovative healthcare solutions: robust hand gesture recognition of daily life routines using 1D CNN
Introduction Hand gestures are an effective communication tool that may convey a wealth of
information in a variety of sectors, including medical and education. E-learning has grown …
information in a variety of sectors, including medical and education. E-learning has grown …
Biosensor-driven IoT wearables for accurate body motion tracking and localization
The domain of human locomotion identification through smartphone sensors is witnessing
rapid expansion within the realm of research. This domain boasts significant potential across …
rapid expansion within the realm of research. This domain boasts significant potential across …
Efficient customer segmentation in digital marketing using deep learning with swarm intelligence approach
Abstract Nowadays, Artificial Intelligence (AI) based modeling is the major consideration to
build efficient, automated, and smart systems for our today's needs. Many companies are …
build efficient, automated, and smart systems for our today's needs. Many companies are …
CNN-based object detection via segmentation capabilities in Outdoor natural scenes
Object recognition along with classification are necessary for many applications, such as
surveillance systems, car plate recognition, traffic monitoring, and face detection. Unlike …
surveillance systems, car plate recognition, traffic monitoring, and face detection. Unlike …