A Wide Dynamic Range Laser Radar Receiver Based on Input Pulse-Shaping Techniques
This paper presents a Time-of-Flight laser radar receiver based on pulse-shaping at the input to the receiver channel, in which the first […]
Robust visual tracking via collaborative and reinforced convolutional feature learning
Convolutional neural networks are potent models that yield hierarchies of features and have drawn increasing interest in the visual tracking field. In […]
Federated Deep Reinforcement Learning for Internet of Things with Decentralized Cooperative Edge Caching
Edge caching is an emerging technology for addressing massive content access in mobile networks to support rapidly growing Internet-of-Things (IoT) services and […]
Deep End-to-End One-Class Classifier
One-class classification (OCC) poses as an essential component in many machine learning and computer vision applications, including novelty, anomaly, and outlier detection […]
Energy detection based spectrum sensing for rural area networks
Remote and rural areas are a challenge to deploy cost-efficient connectivity solutions. 5G technology needs lower frequencies, which calls for spectrum sharing […]
Matching approach for UHF RFID tag antenna immersed in dielectric materials
In this paper, a novel UHF RFID Tag antenna for automotive tire is presented. The antenna shape and size are reduced by […]
Nanotechnological Strategies for Osteoarthritis Diagnosis, Monitoring, Clinical Management, and Regenerative Medicine
Purpose of Review: In this review article, we discuss the potential for employing nanotechnological strategies for the diagnosis, monitoring, and clinical management […]
Age estimation from faces using deep learning
Automatic Age Estimation (AAE) has attracted attention due to the wide variety of possible applications. However, it is a challenging task because […]
Learning meta model for zero- and few-shot face anti-spoofing
Face anti-spoofing is crucial to the security of face recognition systems. Most previous methods formulate face anti-spoofing as a supervised learning problem […]
Fast Service Migration in 5G Trends and Scenarios
The need for faster and higher-capacity networks that can sustain modern, high-demanding applications has driven the development of 5G technology. Moreover, support […]