Vegetation height estimation using ubiquitous foot-based wearable platform
Vegetation height plays a key role in many environmental applications such as landscape characterization, conservation planning and disaster management, and biodiversity assessment […]
Hiding in the Crowd
To cope with the lack of on-device machine learning samples, this article presents a distributed data augmentation algorithm, coined federated data augmentation […]
Gender Identification from Arabic Speech Using Machine Learning
Speech recognition is becoming increasingly used in real-world applications. One of the interesting applications is automatic gender recognition which aims to recognize […]
Automatic detection of artifacts in EEG by combining deep learning and histogram contour processing
This paper introduces a simple approach combining deep learning and histogram contour processing for automatic detection of various types of artifact contaminating […]
Data-Driven Predictive Scheduling in Ultra-Reliable Low-Latency Industrial IoT
To date, model-based reliable communication with low latency is of paramount importance for time-critical wireless control systems. In this work, we study […]
Proxy Experience Replay
Traditional distributed deep reinforcement learning (RL) commonly relies on exchanging the experience replay memory (RM) of each agent. Since the RM contains […]
Hierarchical User Clustering for mmWave-NOMA Systems
Non-orthogonal multiple access (NOMA) and mmWave are two complementary technologies that can support the capacity demand that arises in 5G and beyond […]
Massive autonomous UAV path planning
This paper investigates the autonomous control of massive unmanned aerial vehicles (UAVs) for mission-critical applications (e.g., dispatching many UAVs from a source […]
Remote UAV Online Path Planning via Neural Network-Based Opportunistic Control
This letter proposes a neural network (NN) aided remote unmanned aerial vehicle (UAV) online control algorithm, coined oHJB. By downloading a UAV’s […]
Framework for the Identification of Rare Events via Machine Learning and IoT Networks
This paper introduces an industrial cyber-physical system (CPS) based on the Internet of Things (IoT) that is designed to detect rare events […]