Virtual Reality for Robots
This paper applies the principles of Virtual Reality (VR) to robots, rather than living organisms. A simulator, of either physical states or […]
Federated Machine Learning
The communication and networking field is hungry for machine learning decision-making solutions to replace the traditional model-driven approaches that proved to be […]
Channel Modeling and Performance Analysis of Airplane-Satellite Terahertz Band Communications
Wireless connectivity in airplanes is becoming more important, demanded, and common. One of the largest bottlenecks with the in-flight Internet is that […]
Adaptive Modality Distillation for Separable Multimodal Sentiment Analysis
Multimodal sentiment analysis has increasingly attracted attention since with the arrival of complementary data streams, it has great potential to improve and […]
Information Requirements of Collision-Based Micromanipulation
We present a task-centered formal analysis of the relative power of several robot designs, inspired by the unique properties and constraints of […]
Campus Violence Detection Based on Artificial Intelligent Interpretation of Surveillance Video Sequences
Campus violence is a common social phenomenon all over the world, and is the most harmful type of school bullying events. As […]
Understanding UAV-Based WPCN-Aided Capabilities for Offshore Monitoring Applications
Despite the immense progress in recent years, efficient solutions for monitoring remote areas are still missing today. This is especially notable in […]
Ka-Band Dual Input Stacked 22 nm CMOS FDSOI Power Amplifier with Transformer-Based Power Combiner
A Ka-band dual input, three stack power amplifier (PA) is designed and fabricated using 22nm CMOS FDSOI. The PA output matching is […]
On the Use of Movement-Based Interaction with Smart Textiles for Emotion Regulation
Research from psychology has suggested that body movement may directly activate emotional experiences. Movement-based emotion regulation is the most readily available but […]
Predicting Symptoms of Depression and Anxiety Using Smartphone and Wearable Data
Background: Depression and anxiety are leading causes of disability worldwide but often remain undetected and untreated. Smartphone and wearable devices may offer […]