Results 81 to 90 of about 1,451,519 (348)

FocusedDropout for Convolutional Neural Network

Applied Sciences, 2022
In a convolutional neural network (CNN), dropout cannot work well because dropped information is not entirely obscured in convolutional layers where features are correlated spatially. Except for randomly discarding regions or channels, many approaches try to overcome this defect by dropping influential units.
Minghui Liu, Tianshu Xie, Xuan Cheng, Jiali Deng, Meiyi Yang, Xiaomin Wang, Ming Liu   +6 more
openaire   +2 more sources

Printing Nacre‐Mimetic MXene‐Based E‐Textile Devices for Sensing and Breathing‐Pattern Recognition Using Machine Learning

Advanced Functional Materials, EarlyView.
This study presents a Ti3C2Tx MXene/WPU nacre‐mimetic nanomaterial as a printable ink for direct‐write printing onto textiles‐based sensors. The resulting wearable device demonstrates high sensitivity, biocompatibility, and mechanical strength. Furthermore, NFC‐enabled humidity sensor produces time‐series data, which informs a machine learning ...
Lulu Xu, Wenqing Chen, Qian Li, Rohit Gupta, Biswajoy Bagchi, Laurence B. Lovat, Manish K. Tiwari   +6 more
wiley   +1 more source

Research on Medical Data Feature Extraction and Intelligent Recognition Technology Based on Convolutional Neural Network

IEEE Access, 2019
In order to mine information from medical health data and develop intelligent application-related issues, the multi-modal medical health data feature representation learning related content was studied, and several feature learning models were proposed ...
Weidong Liu, Caixia Qin, Kun Gao, Heng Li, Zuen Qin, Yafei Cao, Wen Si   +6 more
doaj   +1 more source

Convolutional Neural Network Language Models [PDF]

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 655577 (LOVe); ERC 2011 Starting Independent Research Grant n. 283554 (COMPOSES) and the Erasmus Mundus Scholarship for Joint Master Programs.
Pham, Ngoc-Quan, Kruszewski, Germán, Boleda, Gemma   +2 more
openaire   +3 more sources

Artificial Intelligence‐Driven Development in Rechargeable Battery Materials: Progress, Challenges, and Future Perspectives

Advanced Functional Materials, EarlyView.
AI is transforming the research paradigm of battery materials and reshaping the entire landscape of battery technology. This comprehensive review summarizes the cutting‐edge applications of AI in the advancement of battery materials, underscores the critical challenges faced in harnessing the full potential of AI, and proposes strategic guidance for ...
Qingyun Hu, Junyuan Lu, Jian Hui, Ziyuan Rao, Yang Ren, Hong Wang   +5 more
wiley   +1 more source

Membrane Fusion‐Inspired Nanomaterials: Emerging Strategies for Infectious Disease and Cancer Diagnostics

Advanced Healthcare Materials, EarlyView.
Membrane fusion‐inspired nanomaterials offer transformative potential in diagnostics by mimicking natural fusion processes to achieve highly sensitive and specific detection of disease biomarkers. This review highlights recent advancements in nanomaterial functionalization strategies, signal amplification systems, and stimuli‐responsive fusion designs,
Sojeong Lee, Khulan Nyamzaya, Jueun Han, Yejin Song, Jihee Lee, Jung Hyun Jo, Seungmin Bang, Eun‐Kyung Lim, Seungjoo Haam, Eunjung Kim   +9 more
wiley   +1 more source

Performance of a Convolutional Neural Network-Based Artificial Intelligence Algorithm for Automatic Cephalometric Landmark Detection

Turkish Journal of Orthodontics, 2022
Objective: The aim of this study is to develop an artificial intelligence model to detect cephalometric landmark automatically enabling the automatic analysis of cephalometric radiographs which have a very important place in dental practice and is used ...
Mehmet Uğurlu
doaj   +1 more source

Interstitial N‐Strengthened Copper‐Based Bioactive Conductive Dressings Combined with Electromagnetic Fields for Enhanced Wound Healing

Advanced Healthcare Materials, EarlyView.
This study developed a nitrogen‐strengthened copper‐iron‐zinc (N‐CuFeZn) alloy bioactive dressing integrated with electromagnetic stimulation. The coaxial dressing, made from 0.04 mm filaments with 1120 MPa tensile strength, showed that electromagnetic activation enhanced therapeutic outcomes by increasing VEGF expression, promoting angiogenesis (2.1 ...
Xiaohui Qiu, Xianrui Wu, Shaohua Wang, Jie Gu, Senhao Ying, Jiaohao Mo, Chen Jing, Huiliang Cao, Zhongchang Wang, Jianda Zhou   +9 more
wiley   +1 more source

Convolutional Neural Networks In Convolution

, 2018
Currently, increasingly deeper neural networks have been applied to improve their accuracy. In contrast, We propose a novel wider Convolutional Neural Networks (CNN) architecture, motivated by the Multi-column Deep Neural Networks and the Network In Network(NIN), aiming for higher accuracy without input data transmutation.
openaire   +2 more sources

Cottonseed‐Derived Reusable Bio‐Carbon Gel Ink for DIW Printing Soft Electronic Textiles

Advanced Materials, EarlyView.
A reusable carbon‐gel ink, incorporating cottonseed peptone as a natural mediator, enables cross‐linked ionic polymer networks for advanced conductivity, stability, and biocompatibility. Compatible with direct‐ink‐writing, it facilitates flexible electronics on polymeric and textile substrates for multifunctional applications, including motion sensing,
King Yan Chung, Di Tan, Ziyu He, Xiao Li, Jian Lu, Qingjun Yang, Xinlong Liu, Bingang Xu   +7 more
wiley   +1 more source