Resource-constrained IoT devices, such as sensors and actuators, have become ubiquitous
in recent years. This has led to the generation of large quantities of data in real-time, which …

We are living in a world where massive end devices perform computing everywhere and
everyday. However, these devices are constrained by the battery and computational …

Applications and technologies of the Internet of Things are in high demand with the increase
of network devices. With the development of technologies such as 5G, machine learning …

Deep random forest (DRF), which combines deep learning and random forest, exhibits
comparable accuracy, interpretability, low memory and computational overhead to deep …

Driving behavior modeling is an essential component of Advanced Driver Assistance
Systems (ADAS). Existing methods usually analyze driving behaviors based on generic …

Abstract Ubiquitous power Internet of Things (IoT) is a smart service system oriented to all
aspects of the power system, and has the characteristics of universal interconnection …

In the last 5 years, with the vast improvements in computing technologies, eg, sensors,
computer vision, machine learning, and hardware acceleration, and the wide deployment of …

Abstract Wireless Sensor Network (WSN) is a heterogeneous, distributed network composed
of tiny cognitive, autonomous sensor nodes integrated with processor, sensors, transceivers …

A Cloudlet federation can be beneficial to overcome the latency and resource scarcity
challenges in a cloudlet deployment altogether, as a task can run on a cloudlet within the …

Finding true positives (TPs) to construct a training set for a new class of interest in machine
learning (ML) is often a challenge. The novelty of the class suggests that cloud archives are …