Results 111 to 120 of about 76,158 (290)

3GPP Evolution from 5G to 6G: A 10-Year Retrospective

Telecom
The 3rd Generation Partnership Project (3GPP) evolution of mobile communication technologies from 5G to 6G has been a transformative journey spanning a decade, shaped by six releases from Release 15 to Release 20. This article provides a retrospective of
Xingqin Lin
doaj   +1 more source

Facial Expression Recognition With Deep Learning Approach For Detecting Stress

, 2019
A workplace stress detection system using face images require a low-cost installation and does not interfere with the movements of workers, thus the system will be the better promising approach than physiological data based approach using wearable ...
Sung-Min Park, Wonju Seo, Seunghyun Lee
core  

Gap‐Free Information Transfer in 4D‐STEM via Fusion of Complementary Scattering Channels

Advanced Science, EarlyView.
Fused Full‐Field STEM (FF‐STEM) is introduced as a 4D‐STEM imaging modality that combines direct ptychography with tilt‐corrected dark‐field reconstruction in a single acquisition. Fourier‐space fusion using Wiener‐type spectral weighting closes the low‐frequency contrast gap inherent to bright‐field methods, delivering gap‐free, dose‐efficient, near ...
Shengbo You, Georgios Varnavides, Sagar Khavnekar, Nikita Palatkin, Sihan Shao, Mingjian Wu, Daniel Stroppa, Darya Chernikova, Baixu Zhu, Ricardo Egoavil, Stefano Vespucci, Dileep Krishnan, Xingchen Ye, Florian K. M. Schur, Erdmann Spiecker, Philipp Pelz   +15 more
wiley   +1 more source

Deep‐Learning‐Driven High‐Fidelity In Vivo Hyperspectral Fluorescence Imaging Under Extreme Photon‐Limited Conditions

Advanced Science, EarlyView.
Highly overlapping fluorescent signals become distinguishable in photon‐limited living organisms via advanced imaging with intelligent reconstruction. The resulting in vivo hyperspectral imaging capability reveals nanoplastic uptake and circulation in live zebrafish, providing a new approach for studying complex biological and environmental processes ...
Renjian Li, Shutao Wu, Kaixiang Li, Zhenyu An, Yuwen Ben, Guiye LI, Sunil Kumar, James Mcginty, Tawfique Hasan, Songnian Fu, Meng Zhang, LingLing Chen   +11 more
wiley   +1 more source

Spectral Efficiency Considerations in 6G Networks

IEEE Open Journal of the Communications Society
As wireless connectivity continues to evolve toward 6G, the demand to efficiently deliver higher throughput, lower latency, and improved reliability increases.
Joseph Boccuzzi
doaj   +1 more source

Development of prototype based on NVIDIA DIGITS for PyTorch

, 2018
Deep learning frameworks such as Caffe and Tensorflow has significantly eased the process of creating deep neural networks. However, these frameworks do not come with a built in visual interface which can be difficult to use.
Chen, Benedict Si-Yuan
core  

Quasar: A Programming Framework for Rapid Prototyping [PDF]

, 2016
We present a new programming framework, Quasar, which facilitates GPU programming. Our high-level programming language relieves the developer of all implementation details such that he can focus on the algorithm and the required accuracy.
Goossens, Bart, De Vylder, Jonas
core  

CLRe: A Synergistic Dual‐Engine Framework for One‐Step Retrosynthesis Prediction

Advanced Science, EarlyView.
CLRe uses a contrastive difficulty score to order pretrained seq2seq fine‐tuning for retrosynthesis. Reaction embeddings define the ranking score, and a cumulative easy‐to‐hard schedule expands from the easiest subset to the full training set while earlier examples remain active.
Tianhao Su, Xitao Wang, Musen Li, Guanhua Qin, Shunbo Hu, Tong‐Yi Zhang   +5 more
wiley   +1 more source

Offloading Post-Quantum Cryptography to Data Processing Units: A Performance Analysis of HQC Key Encapsulation

IEEE Access
The transition to post-quantum cryptography introduces substantial computational overhead that can degrade application performance in datacenter environments, particularly under system contention when there is competition to access shared computational ...
Joseph Meyer, Elad Mentovich, Idelfonso Tafur Monroy, Juan Jose Vegas Olmos   +3 more
doaj   +1 more source

Deciphering Anti‐Cancer Drug Efficacy Through Nanomechanical Vibrations in Living Gastric Cancer Organoids

Advanced Science, EarlyView.
This study developed an efficacy assessment platform that integrates patient‐derived gastric cancer organoids, atomic force microscopy (AFM)‐based nanomechanical vibration detection, deep learning analysis, and organoid mechanical modeling. It detects picomolar drug effects within 0.1 s signal, achieves 97% classification accuracy, and offers non ...
Ting Zhang, Qiubo Chen, Shihai Lan, Liang Zhu, Shuaiyu Liu, Yan Xia, Yalu Zhang, Hanhui Yao, Yongman Liu, Shangquan Wu, Qingchuan Zhang   +10 more
wiley   +1 more source