Machine learning applications in internet-of-drones: Systematic review, recent deployments, and open issues
Deep Learning (DL) and Machine Learning (ML) are effectively utilized in various
complicated challenges in healthcare, industry, and academia. The Internet of Drones (IoD) …
complicated challenges in healthcare, industry, and academia. The Internet of Drones (IoD) …
Human activity recognition: Review, taxonomy and open challenges
Nowadays, Human Activity Recognition (HAR) is being widely used in a variety of domains,
and vision and sensor-based data enable cutting-edge technologies to detect, recognize …
and vision and sensor-based data enable cutting-edge technologies to detect, recognize …
[HTML][HTML] A hybrid CNN+ LSTM-based intrusion detection system for industrial IoT networks
HC Altunay, Z Albayrak - … Science and Technology, an International Journal, 2023 - Elsevier
Abstract The Internet of Things (IoT) ecosystem has proliferated based on the use of the
internet and cloud-based technologies in the industrial area. IoT technology used in the …
internet and cloud-based technologies in the industrial area. IoT technology used in the …
Action transformer: A self-attention model for short-time pose-based human action recognition
Deep neural networks based purely on attention have been successful across several
domains, relying on minimal architectural priors from the designer. In Human Action …
domains, relying on minimal architectural priors from the designer. In Human Action …
Cyberbullying detection solutions based on deep learning architectures
C Iwendi, G Srivastava, S Khan, PKR Maddikunta - Multimedia Systems, 2023 - Springer
Cyberbullying is disturbing and troubling online misconduct. It appears in various forms and
is usually in a textual format in most social networks. Intelligent systems are necessary for …
is usually in a textual format in most social networks. Intelligent systems are necessary for …
Development of an end-to-end deep learning framework for sign language recognition, translation, and video generation
B Natarajan, E Rajalakshmi, R Elakkiya… - IEEE …, 2022 - ieeexplore.ieee.org
The recent developments in deep learning techniques evolved to new heights in various
domains and applications. The recognition, translation, and video generation of Sign …
domains and applications. The recognition, translation, and video generation of Sign …
[HTML][HTML] Forest 4.0: Digitalization of forest using the Internet of Things (IoT)
Abstract “Digitalization of forest”, as this phrase itself suggests the sustainable
implementation of cutting-edge technologies into forests for improving the current trends that …
implementation of cutting-edge technologies into forests for improving the current trends that …
Hand gesture recognition based on a Harris hawks optimized convolution neural network
Hand gestures are an effective method of communication, especially when we are
communicating with people who cannot understand our spoken language. Furthermore, it is …
communicating with people who cannot understand our spoken language. Furthermore, it is …
A federated learning-based approach for improving intrusion detection in industrial internet of things networks
MM Rashid, SU Khan, F Eusufzai, MA Redwan… - Network, 2023 - mdpi.com
The Internet of Things (IoT) is a network of electrical devices that are connected to the
Internet wirelessly. This group of devices generates a large amount of data with information …
Internet wirelessly. This group of devices generates a large amount of data with information …
Agricultural monitoring system in video surveillance object detection using feature extraction and classification by deep learning techniques
S Khan, L AlSuwaidan - Computers and Electrical Engineering, 2022 - Elsevier
Abstract Systems that can infer crop state from low-cost sensing devices are required for
agricultural applications such as yield prediction, precision agriculture, and autonomous …
agricultural applications such as yield prediction, precision agriculture, and autonomous …