Results 91 to 100 of about 1,102,740 (365)

Enhancing Ultrasound Power Transfer: Efficiency, Acoustics, and Future Directions

Advanced Materials, EarlyView.
Implantable devices significantly enhance healthcare but are limited by battery life. Ultrasound power transfer technology offers a promising solution for sustainable operation. This review addresses gaps in current research, particularly in sound field analysis and energy efficiency optimization.
Yi Zheng, Zhuomin Zhang, Yanhu Zhang, Qiqi Pan, Xiaodong Yan, Xuemu Li, Zhengbao Yang   +6 more
wiley   +1 more source

Computational Modeling of Reticular Materials: The Past, the Present, and the Future

Advanced Materials, EarlyView.
Reticular materials are advanced materials with applications in emerging technologies. A thorough understanding of material properties at operating conditions is critical to accelerate the deployment at an industrial scale. Herein, the status of computational modeling of reticular materials is reviewed, supplemented with topical examples highlighting ...
Wim Temmerman, Ruben Goeminne, Kuber Singh Rawat, Veronique Van Speybroeck   +3 more
wiley   +1 more source

Engineering CAR‐T Therapeutics for Enhanced Solid Tumor Targeting

Advanced Materials, EarlyView.
CART cell therapy has proven effective for blood cancers but struggles with solid tumors due to diverse antigens and complex environments. Recent efforts focus on improving CAR design and validation platforms. Advances in protein engineering, machine learning, and organoid systems aim to enhance CAR‐T therapy against solid tumors.
Danqing Zhu, Won Joon Kim, Hyunjin Lee, Xiaoping Bao, Pilnam Kim   +4 more
wiley   +1 more source

Transforming Healthcare: Intelligent Wearable Sensors Empowered by Smart Materials and Artificial Intelligence

Advanced Materials, EarlyView.
Wearable sensors, empowered by AI and smart materials, revolutionize healthcare by enabling intelligent disease diagnosis, personalized therapy, and seamless health monitoring without disrupting daily life. This review explores cutting‐edge advancements in smart materials and AI‐driven technologies that empower wearable sensors for diagnostics and ...
Shuwen Chen, Shicheng Fan, Zheng Qiao, Zixiong Wu, Baobao Lin, Zhijie Li, Michael A. Riegler, Matthew Yu Heng Wong, Arve Opheim, Olga Korostynska, Kaare Magne Nielsen, Thomas Glott, Anne Catrine T. Martinsen, Vibeke H. Telle‐Hansen, Chwee Teck Lim   +14 more
wiley   +1 more source

Performance analysis on joint channel decoding and state estimation in cyber-physical systems

EURASIP Journal on Wireless Communications and Networking, 2017
We propose to use an mean square error (MSE) transfer chart to evaluate the performance of the proposed belief propagation (BP)-based channel decoding and state estimation scheme.
Liang Li, Shuping Gong, Ju Bin Song, Husheng Li   +3 more
doaj   +1 more source

Adaptive Decoding of LDPC Codes with Binary Messages [PDF]

arXiv, 2009
A novel adaptive binary decoding algorithm for LDPC codes is proposed, which reduces the decoding complexity while having a comparable or even better performance than corresponding non-adaptive alternatives. In each iteration the variable node decoders use the binary check node decoders multiple times; each single use is referred to as a sub-iteration.
arxiv  

Wide‐Field Bond Quality Evaluation Using Frequency Domain Thermoreflectance with Deep Neural Network Feature Reconstruction

Advanced Materials Interfaces, EarlyView.
In this work, wide‐field (>1 mm2) frequency‐domain thermoreflectance (FDTR) hyperspectral imaging is used to image subsurface indium bump bonds 50 µm below the surface. Thermal analysis with Monte Carlo uncertainty propagation is used to evaluate bump quality, while a trained deep neural network (can rapidly reconstruct bump geometry contact area maps.
Amun Jarzembski, Siddharth Nair, Wyatt Hodges, Matthew Jordan, Anthony McDonald, Logan Antiporda, Greg W. Pickrell, Timothy Walsh, Fabio Semperlotti, Jason Neely, Luke Yates   +10 more
wiley   +1 more source

Joint source-channel iterative decoding based on hidden markov model

Tongxin xuebao, 2006
A joint source-channel decoding algorithm using source parameters which were estimated by the soft output of Turbo code with Baum-Welch reestimated algorithm was proposed.
YIN Wei-wei, WU Le-nan
doaj   +2 more sources

Extrinsic Information Modification in the Turbo Decoder by Exploiting Source Redundancies for HEVC Video Transmitted Over a Mobile Channel

IEEE Access, 2016
An iterative turbo decoder-based cross layer error recovery scheme for compressed video is presented in this paper. The soft information exchanged between two convolutional decoders is reinforced both by channel coded parity and video compression ...
Ryan Perera, Hemantha Kodikara Arachchi, Muhammad Ali Imran, Pei Xiao   +3 more
doaj   +1 more source

Multi-Antenna Assisted Virtual Full-Duplex Relaying with Reliability-Aware Iterative Decoding

, 2017
In this paper, a multi-antenna assisted virtual full-duplex (FD) relaying with reliability-aware iterative decoding at destination node is proposed to improve system spectral efficiency and reliability.
Hou, Jiancao, Ma, Yi, Narayanan, Sandeep, Shikh-Bahaei, Mohammad   +3 more
core   +1 more source