Results 81 to 90 of about 9,883,756 (332)
Artificial Intelligence in Optical Communications: From Machine Learning to Deep Learning
Frontiers in Communications and Networks, 2021 Techniques from artificial intelligence have been widely applied in optical communication and networks, evolving from early machine learning (ML) to the recent deep learning (DL). This paper focuses on state-of-the-art DL algorithms and aims to highlight
Danshi Wang, Min Zhang
doaj +1 more source
Patients improve, patterns persist: longitudinal stability of RA joint involvement patterns
Arthritis Care &Research, Accepted Article.Objective Rheumatoid arthritis is a heterogeneous disease. Data‐driven approaches, from synovial histology to joint involvement patterns (JIPs), have sought to define clinically meaningful subgroups. Whether these subgroups represent stable phenotypes or transient disease states remains unclear.
Tjardo Maarseveen +24 more
wiley +1 more source
Deep learning for network anomalies detection
, 2019 Intrusion Detection Systems (IDS) provide substantial measures to protect networks assets. IDSs are software /hardware systems dedicated to exposing network threats.
Dawoud, Ahmed (S32149) +2 more
core +1 more source
Communications using deep learning techniques [PDF]
, 2019 Deep learning (DL) techniques have the potential of making communication ...
Pachpande, Priti Gopal
core +1 more source
Advances in Sustainable and Wearable Textile Based Soft Robotics
Advanced Functional Materials, EarlyView.This Review examines advances in wearable textile‐based soft robotics, focusing on sustainable materials, integrated sensing, and scalable actuation. It discusses manufacturing and system integration across healthcare, assistive robotics, prosthetics, and human–machine interfaces, and highlights key challenges in circular design, including life‐cycle ...
Zahir Abbas +6 more
wiley +1 more source
DL-PRO: A novel deep learning method for protein model quality assessment [PDF]
2014 International Joint Conference on Neural Networks (IJCNN), 2014 Computational protein structure prediction is very important for many applications in bioinformatics. In the process of predicting protein structures, it is essential to accurately assess the quality of generated models. Although many single-model quality assessment (QA) methods have been developed, their accuracy is not high enough for most real ...
Son P. Nguyen, Yi Shang, Dong Xu 0002
openaire +3 more sources
Alexandria Engineering Journal, 2023 Wireless Sensor Networks (WSNs) are widely studied for their data collection and monitoring capabilities across diverse applications. However, the limited energy resources of sensor nodes present a significant challenge in extending the network's ...
I. Surenther +2 more
doaj +1 more source
Advanced Healthcare Materials, EarlyView.NeuroVisio SyncPatch integrates skin‐conformal electromyography (EMG) electrodes with camera‐tracked markers to jointly assess muscle activity and three‐dimensional knee kinematics during rehabilitation. Parallel feedback pathways provide real‐time kinematic guidance during movement and post‐trial neuromuscular feedback.
Bohyung Choi +11 more
wiley +1 more source
Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application
Advanced Materials, EarlyView.This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong +12 more
wiley +1 more source
Deep-learning-based recognition of multi-singularity structured light
, 2021 Structured light with customized complex topological pattern inspires diverse classical and quantum investigations underpinned by accurate detection techniques.
Zijian Shi (12176450) +9 more
core +1 more source