Results 111 to 120 of about 612,429 (319)

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source

Effectiveness of E-Learning Design in Thai Public Schools

Malaysian Journal of Learning and Instruction, 2018
Purpose â€“This study examined the effectiveness of e-learning content design by considering two different subjects (mathematics and reading) and areas (metropolitan and rural).
Titie Panyajamorn, Suthathip Suanmali, Youji Kohda, Pornpimol Chongphaisal, Thepchai Supnithi   +4 more
doaj   +1 more source

Investigating the use of semantic technologies in spatial mapping applications [PDF]

, 2013
Semantic Web Technologies are ideally suited to build context-aware information retrieval applications. However, the geospatial aspect of context awareness presents unique challenges such as the semantic modelling of geographical references for efficient
Omitola, T, Jeremy Hague, Luke Shires, Taha Osman, Nigel Shadbolt, Osman, T, Shires, L, Hague, J, Shadbolt, N, Tope Omitola   +9 more
core   +1 more source

Solution‐Processed Two‐Dimensional Indium Oxide on Sodium‐Embedded Alumina for Reconfigurable Optoelectronic Synaptic Transistors

Advanced Functional Materials, EarlyView.
Wafer‐scale two‐dimensioanl In2Se3 oxidized into InOx on sodium‐embedded beta‐alumina enables multifunctional reconfigurable electronics. Sodium ions accumulate within distinct spatial distribution under drain‐controlle and gate‐controlled operation. Drain‐control operation gives controllability of ultraviolet‐driven optoelectronic synaptic conductance
Jinhong Min, Yonghyun Albert Kwon, Hyunbin Kim, Jihyun Kim, Myeongjin Jung, Jaewon Heo, Gwang Ya Kim, Vlastimil Mazanek, Zdeněk Sofer, In Soo Kim, Jeong Ho Cho, Hyesung Park, Sang Min Won, Joohoon Kang   +13 more
wiley   +1 more source

Features for Killer Apps from a Semantic Web Perspective [PDF]

, 2008
There are certain features that that distinguish killer apps from other ordinary applications. This chapter examines those features in the context of the semantic web, in the hope that a better understanding of the characteristics of killer apps might ...
Kalfoglou, Yannis, O'Hara, Kieron, Alani, Harith, Shadbolt, Nigel   +3 more
core  

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

Advanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong, You Zhou, Qingxiu Li, Wenyu Zhao, Sunyingyue Geng, Hangfei Li, Yan‐Bing Leng, Shirui Zhu, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Ye Zhou, Su‐Ting Han   +12 more
wiley   +1 more source

LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions

Advanced Materials, EarlyView.
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam, William S. Rogers, Chen‐Yu Hu, Ming‐Yuan Song, Xinyu Bao, Shehrin Sayed, Jean Anne C. Incorvia   +6 more
wiley   +1 more source

A Domain-Agnostic Neuro-Symbolic Architecture for Multimodal Human-in-the-Loop Anomaly Detection and Complex Fault Diagnosis

IEEE Access
This paper presents a general architecture for iterative, hybrid neuro-symbolic anomaly detection and complex fault diagnosis, in which symbolic knowledge-based methods and neural machine learning methods reinforce each other.
Tim Bohne, Anne-Kathrin Patricia Windler, Martin Atzmueller   +2 more
doaj   +1 more source

Development of a Controlled Natural Language Interface for Semantic MediaWiki

, 2010
Semantic wikis support the collaborative creation, editing and utilization of semantically-enriched content, and they may therefore be well-suited to addressing problems associated with the limited availability of high-quality online semantic content ...
Paul R. Smart, Dave Braines, Smart, Paul, Braines, Dave, Bao, Jie, Nigel R. Shadbolt, Shadbolt, Nigel, Jie Bao   +7 more
core   +1 more source

Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles

Advanced Materials, EarlyView.
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung, Jiaxiang Yi, Hieu Nguyen‐Duc, Tien Nu Hoang Lo, Weili Zhao, Chaoqun Dong, Fabien Sorin, Baris Caglar, Lei Wei, Tung Nguyen‐Dang   +9 more
wiley   +1 more source