Results 111 to 120 of about 14,783 (258)

Deep‐Learning‐Based Denoising for Improved Phase Precision in Electron Holography of Electromagnetic Fields in Nanoscale Materials

Advanced Science, EarlyView.
Low‐dose electron holography is limited by shot noise, which buries weak phase signals. HoloDenoiser, a physics‐informed network that works simultaneously in the spatial and frequency domains, locates and protects the holographic sideband while suppressing noise in the hologram.
Ye Luo, Luyang Wang, Zhiling Yu, Xiaowen Chen, Xiaoyu Wang, Ya‐Hui Jia, Thibaud Denneulin, Yu Han, Rafal E. Dunin‐Borkowski, Fengshan Zheng, Qi Liu   +10 more
wiley   +1 more source

On the road to the metaverse: Point cloud video streaming: Perspectives and enablers

ICT Express
In the rapidly evolving metaverse ecosystem, video streaming plays a vital role, offering immersive, on-demand experiences and engaging users in dynamic 3D virtual environments.
Patrick Enenche, Dong Ho Kim, Dongho You
doaj   +1 more source

A Novel Dynamic Bit Rate Analysis Technique for Adaptive Video Streaming over HTTP Support. [PDF]

Sensors (Basel), 2022
Ashok Kumar PM, Arun Raj LN, Jyothi B, Soliman NF, Bajaj M, El-Shafai W.   +5 more
europepmc   +1 more source

Natural Product Toosendanin Suppresses the Malignant Development of Skin Melanoma by Targeting BNC2 for Degradation

Advanced Science, EarlyView.
BNC2 exhibits context‐dependent opposing functions across multiple cancer types. This study reveals BNC2 as an oncogenic driver of melanoma proliferation and metastasis through transcriptional activation of PIK3CA. The natural compound TSN simultaneously degrades BNC2 and its oncogenic partner SMAD3 via CRBN‐dependent ubiquitination.
Hui Dai, Xin Mei Zhang, Jing Cheng Zhang, Xu Ting Deng, Qiao Liu, Mustafa Hussein Ali, Fang Zhou Yin, Wu Yin   +7 more
wiley   +1 more source

Reducing the Individual Carbon Impact of Video Streaming: A Seven-Week Intervention Using Information, Goal Setting, and Feedback. [PDF]

J Consum Policy (Dordr), 2023
Seger BT, Burkhardt J, Straub F, Scherz S, Nieding G.   +4 more
europepmc   +1 more source

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

Advanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho, Dae‐won Kim, Yujin Kim, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source

Time-synchronic comments on video streaming website reveal core structures of audience engagement in movie viewing. [PDF]

Front Psychol, 2022
Ni W, Coupé C.
europepmc   +1 more source

On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification

Advanced Electronic Materials, EarlyView.
ABSTRACT Reservoir computing (RC) is an emerging recurrent neural network architecture that has attracted growing attention for its low training cost and modest hardware requirements. Memristor‐based circuits are particularly promising for RC, as their intrinsic dynamics can reduce network size and parameter overhead in tasks such as time‐series ...
Rishona Daniels, Duna Wattad, Ronny Ronen, David Saad, Shahar Kvatinsky   +4 more
wiley   +1 more source

QoE Aware Video Streaming Scheme Utilizing GRU-Based Bandwidth Prediction and Adaptive Bitrate Selection for Heterogeneous Mobile Networks

IEEE Access
Nowadays, video streaming has become a popular form of multimedia for communication and entertainment. The rapid traffic explosion spurred by the development of emerging video-centric services such as e-science, virtual reality, and video conference has ...
Tien Vu Huu, Su Van Pham, Thao Nguyen Thi Huong, Hai-Chau Le   +3 more
doaj   +1 more source

Experimental Demonstration of Temporally Aware Fault‐Tolerant Sensor Fusion Using Memristive Associative Learning

Advanced Electronic Materials, EarlyView.
In dynamic driving scenarios, the proposed approach ensures only temporally aligned sensor inputs to make driving decisions, preventing false activations. By enabling selective hardware‐level learning, it achieves fast, reliable responses under noisy conditions.
Kapil Bhardwaj, Ashfak Nehal, Dmitrii Semenov, Roman Sotner, Sayani Majumdar   +4 more
wiley   +1 more source