Results 131 to 140 of about 5,938,476 (293)

APPLICATION OF NEURAL NETWORKS IN PREDICTIVE DATA MINING [PDF]

Neural Networks represent a meaningfully different approach to using computers in the workplace. A neural network is used to learn patterns and relationships in data. The data may be the results of a market research effort, or the results of a production
Saratha Sathasivam
core  

Material Coupling in Hybrid Neuromorphic Devices: From Fundamentals to System‐Level Applications

Advanced Functional Materials, EarlyView.
Hybrid neuromorphic devices utilize heterointerfaces between emerging semiconductors, where charge transfer and trapping, ion or defect modulation, and photogating are translated into synaptic functions. This paper discusses coupling strategies that tailor interfacial electronic and ionic properties in organic semiconductors, metal oxides, two ...
Minsu So, Sunwoo Jeong, Youngmin Han, Fabrizio Torricelli, Hocheon Yoo, Junhwan Choi   +5 more
wiley   +1 more source

Business failure prediction using neural networks and wavelet neural networks

, 2013
Bankruptcy prediction models concerns for decades both academics and practitioners. Moreover, in recent years, during the financial crisis period the development of accurate business failure prediction models is particularly compelling. In this paper, we
Tsinaslanidis, P., Livanis, E., Alexandridis, A., Zapranis, A.   +3 more
core  

Single‐Cell Resolution Mapping of Osteoarthritis‐Associated Chondrocyte Dynamics Using a High‐Density CMOS MEA Platform

Advanced Healthcare Materials, EarlyView.
Single‐cell and spatially resolved impedance mapping using a high‐density CMOS‐MEA platform enables non‐invasive monitoring of osteoarthritis‐associated chondrocyte dynamics. Continuous label‐free measurements reveal heterogeneous remodeling behaviors, including proliferation, migration, and phenotypic transitions, establishing a powerful approach for ...
Neha Deshpande, Pauline Coquart, Bram Theuns, Susanne Cremery, Jaime Rodolfo V. Garcia III, Julien Verplanken, Dennis Lambrechts, Dries Braeken, Liesbet Lagae, Johanna Bolander   +9 more
wiley   +1 more source

Matrix neural networks

, 2017
Traditional neural networks assume vectorial inputs as the network is arranged as layers of single line of computing units called neurons. This special structure requires the non-vectorial inputs such as matrices to be converted into vectors.
Junbin Gao, Guo, Yi (R18457), Yi Guo, Wang, Zhiyong, Zhiyong Wang, Gao, Junbin   +5 more
core   +1 more source

Advancing Human Skin Equivalents: The Crucial Role of Neurovascular Integration

Advanced Healthcare Materials, EarlyView.
This review discusses the importance of integrating vascular and peripheral nerve systems into human skin equivalents (HSEs) to better recapitulate native skin physiology. Recent advances in vascularized, innervated, and neurovascularized HSEs are highlighted, together with emerging bioengineering strategies, current challenges, and future ...
Hao Wu, Lorenzo Moroni, Nicolas Lebonvallet, Vincent Flacher, Paul Wieringa   +4 more
wiley   +1 more source

Transferable polychromatic optical encoder for neural networks

Nature Communications
Artificial neural networks have fundamentally transformed the field of computer vision, providing unprecedented performance. However, these neural networks for image processing demand substantial computational resources, often hindering real-time ...
Minho Choi, Jinlin Xiang, Anna Wirth-Singh, Seung-Hwan Baek, Eli Shlizerman, Arka Majumdar   +5 more
doaj   +1 more source

Network resilience in future optical networks

, 2009
Network resilience is an issue of deep concern to network operators being eager to deploy high-capacity fibre networks, since a single failure in the network could result in significant losses of revenue.
Ilse Lievens, Anna Tzanakaki, Bart Puype, Demeester, P., Mikac, B., Dimitri Staessens, Didier Colle, Wosinska, Lena,, Wosinska, Len, Pickavet, M., Puype, Bart, Nina Skorin-Kapov, Staessens, D., Staessens, Dimitri, Len Wosinska, Skorin-Kapov, Nina, George Markidis, Mario Pickavet, Lievens, I., Piet Demeester, Tzanakaki, Anna, Lapcevic, O., Markidis, George, Lapcevic, Ozren, Lievens, Ilse, Colle, Didier, Demeester, Piet, Branko Mikac, Katrinis, K., Markidis, G., Puype, B., Lackovic, Marko, Marko Lackovic, Colle, D., Ozren Lapcevic, Lackovic, M., Mikac, Branko, Katrinis, Kostas, Kostas Katrinis, Pickavet, Mario   +39 more
core   +1 more source

NeuroVisio SyncPatch: A Skin‐Conformal Multimodal EMG–Motion Sensing Platform for Quantitative Neuromuscular Rehabilitation and Performance Monitoring

Advanced Healthcare Materials, EarlyView.
NeuroVisio SyncPatch integrates skin‐conformal electromyography (EMG) electrodes with camera‐tracked markers to jointly assess muscle activity and three‐dimensional knee kinematics during rehabilitation. Parallel feedback pathways provide real‐time kinematic guidance during movement and post‐trial neuromuscular feedback.
Bohyung Choi, Yoo‐Jin Jun, Heewon Choee, Kun‐Do Lee, Heesoo Kim, Yu Seok Hwang, Choong Yeon Kim, Seongok Chae, Juhyun Lee, Minkyu Je, Jae‐Woong Jeong, Hyung‐Soon Park   +11 more
wiley   +1 more source

Microfluidic Engineering of Microgels: A Review of Emerging Technologies, Materials, Fabrication Strategies, and Applications

Advanced Healthcare Materials, EarlyView.
Recent advances in microfluidic technologies for microgel fabrication are critically reviewed, highlighting the capabilities and limitations of major microfluidic platforms and discussing how platform design, material selection, and crosslinking strategies influence microgel architecture and functionality. Current challenges and future opportunities in
Afshin Abrishamkar, Laura Neely, Cynthia Pham, Nada Ibrahim, Alexis Larios‐Cervantes, Ben A. Kertesz, Todd Hoare   +6 more
wiley   +1 more source