Results 61 to 70 of about 84,699 (302)

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

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   +2 more sources

Integrated Field‐Free SOT Domain‐Wall Synapses and MTJ Stochastic Neurons for Hardware Boltzmann Machines

Advanced Functional Materials, EarlyView.
Field‐free spin‐orbit torque domain‐wall synapses integrated with stochastic MTJ neurons enable compact hardware Boltzmann machines. Leveraging intrinsic stochasticity and multi‐level conductance, the system achieves efficient probabilistic learning with high accuracy, demonstrating a scalable spintronic platform for energy‐efficient edge AI.
Aijaz H. Lone, Meng Tang, Camelia Florica, Bin He, Jingkai Xu, Selma Amara, Georgian Melinte, Xixiang Zhang, Gianluca Setti   +8 more
wiley   +1 more source

A survey of malware detection using deep learning

Machine Learning with Applications
The problem of malicious software (malware) detection and classification is a complex task, and there is no perfect approach. There is still a lot of work to be done. Unlike most other research areas, standard benchmarks are difficult to find for malware
Ahmed Bensaoud, Jugal Kalita, Mahmoud Bensaoud   +2 more
doaj   +1 more source

Maximizing energy efficiency in wireless sensor networks for data transmission: A Deep Learning-Based Grouping Model approach

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, K.P. Sridhar, Michaelraj Kingston Roberts   +2 more
doaj   +1 more source

Review of Deep Learning-Based Atrial Fibrillation Detection Studies [PDF]

, 2021
Atrial fibrillation (AF) is a common arrhythmia that can lead to stroke, heart failure, and premature death. Manual screening of AF on electrocardiography (ECG) is time-consuming and prone to errors.
Fatma Murat, Ozal Yildirim, Ferhat Sadak, Murat Karabatak, Yildirim, Ozal, Murat, Fatma, Karabatak, Murat, Muhammed Talo, Talo, Muhammed, Yakup Demir, U. Rajendra Acharya, Acharya, U. Rajendra, Murat, Ender, Ru-San Tan, Sadak, Ferhat, Demir, Yakup, Tan, Ru-San, Ender Murat   +17 more
core   +1 more source

Designed Lewis Acid–Base Passivation for High Performance Perovskite Solar Cells

Advanced Functional Materials, EarlyView.
ABSTRACT Silicon's high cost and long energy payback time remain major barriers to the global expansion of solar power. In contrast, metal–halide perovskites offer abundant, solution‐processable absorbers, and have achieved efficiencies of 25%–30%, positioning them as strong competitors to silicon.
Afna Manaf, Hiba Shahulhameed, Bhabani Sankar Swain, Shengzhong (Frank) Liu, Adel Najar   +4 more
wiley   +1 more source

Recent advances and applications of deep learning methods in materials science

npj Computational Materials, 2022
Deep learning (DL) is one of the fastest-growing topics in materials data science, with rapidly emerging applications spanning atomistic, image-based, spectral, and textual data modalities.
Kamal Choudhary, Brian DeCost, Chi Chen, Anubhav Jain, Francesca Tavazza, Ryan Cohn, Cheol Woo Park, Alok Choudhary, Ankit Agrawal, Simon J. L. Billinge, Elizabeth Holm, Shyue Ping Ong, Chris Wolverton   +12 more
doaj   +1 more source

Blood Biomarkers and Surface‐Enhanced Raman Spectroscopy for Gout: A Comprehensive Review

Advanced Functional Materials, EarlyView.
Schematic illustrating gout disease progression from asymptomatic hyperuricemia to chronic tophaceous disease, highlighting the limitations of conventional imaging and biochemical diagnostics and the potential of engineered SERS platforms for ultrasensitive blood‐based detection of urate‐related biomarkers across disease stages, with the color gradient
Isuri Perera, Chiranjeevi Kanike, Appurva Tiwari, Hongyan Wu, Larry D. Unsworth, Ben Bin Xu, Xuehua Zhang   +6 more
wiley   +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, Marzia Dulal, Sophia K. Novoselov, Victoria K. Novoselov, Kostya S. Novoselov, Shaila Afroj, Nazmul Karim   +6 more
wiley   +1 more source