Results 191 to 200 of about 96,203 (309)

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

Clean Cut (adaptive, multimodal surgical infection prevention programme) for low‐resource settings: a prospective quality improvement study

BJS (British Journal of Surgery), EarlyView., 2020
Clean Cut is a multimodal, adaptive, checklist‐based infection prevention programme designed to improve compliance with six critical perioperative infection prevention practices. After introducing the programme at five hospitals in Ethiopia, compliance with critical infection prevention standards significantly improved and the relative risk of ...
J. A. Forrester, N. Starr, T. Negussie, D. Schaps, M. Adem, S. Alemu, D. Amenu, N. Gebeyehu, T. Habteyohannes, F. Jiru, A. Tesfaye, E. Wayessa, R. Chen, A. Trickey, S. Bitew, A. Bekele, T. G. Weiser   +16 more
wiley   +1 more source

Radar-Based Assessment of Sit-to-Stand Transitions as Digital Biomarkers of Pain and Physical Decline. [PDF]

Sensors (Basel)
Ziaee Bideskan M, Karbaschi N, Abedi H, Abbasi Z.   +3 more
europepmc   +1 more source

Recent Advances in Programmable Metasurfaces and Meta‐Devices

Advanced Electronic Materials, EarlyView.
Programmable metasurfaces enable various novel functionalities by dynamically tuning electromagnetic wavefronts. This article provides a comprehensive review of recent advances in microwave and terahertz programmable metasurfaces, covering electrical, thermal, optical, and mechanical control mechanisms.
Linda Shao, Chong He, Nan Wang, Liming Si, Weiren Zhu   +4 more
wiley   +1 more source

A Sequential Kalman-Newton-KM Framework for AIS and Radar Data Fusion in Restricted Inland Waterways. [PDF]

Sensors (Basel)
Shi H, Wang D, Wei L, Liang S.
europepmc   +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

A dataset of 120 GHz millimeter-wave radar vital signals with synchronized reference recordings. [PDF]

Sci Data
Wu R, Miro L, Aguasca A, Broquetas A, Garcia C, Najar M.   +5 more
europepmc   +1 more source

Streamlined V3.5+ Electrolyte Production by Leveraging Chemical and Catalytic Reductions

Advanced Energy Materials, EarlyView.
A tuned catalytic process for V3.5+ electrolyte production is shown to streamline the conventional chemical‐to‐catalytic sequence by extending catalysis into the rate‐determining reduction regime. This study shows that initiating catalysis in this regime shortens the overall production time by 67% based on rigorous thermodynamic and kinetic analysis of
Kyunghwa Seok, Minseong Kang, Hee‐Tak Kim   +2 more
wiley   +1 more source

Gait Classification Based on Micro-Doppler Effect. [PDF]

Sensors (Basel)
Chen Y, Li S, Qin C, Liang K, Wei Z, Zhang H.   +5 more
europepmc   +1 more source

Tuning Interfacial Water Dynamics via Gd‐Doped Cu2O for High‐Rate Selective CO2‐to‐Ethanol Conversion

Advanced Energy Materials, EarlyView.
A Gd‐doped Cu2O electrocatalyst disrupts rigid interfacial hydrogen‐bonding networks, creating a free‐water‐rich microenvironment. This accelerates proton‐coupled electron transfer, enabling selective high‐rate CO2‐to‐ethanol conversion with 48.5% Faradaic efficiency at industrially relevant current densities.
Hyunwoo Kim, Hyo Sang Jeon, Eugene Huh, Man Ho Han, Hyeon‐Seok Bang, Junho Lee, Jae‐Young Choi, Dong Ki Lee, Kyeongsu Kim, Byoung Koun Min, Woong Hee Lee, Hyung‐Suk Oh   +11 more
wiley   +1 more source