Results 81 to 90 of about 1,429,068 (340)

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

Branching quantum convolutional neural networks

Physical Review Research, 2022
Neural-network-based algorithms have garnered considerable attention for their ability to learn complex patterns from very-high-dimensional data sets towards classifying complex long-range patterns of entanglement and correlations in many-body quantum ...
Ian MacCormack, Conor Delaney, Alexey Galda, Nidhi Aggarwal, Prineha Narang   +4 more
doaj   +1 more source

A review of convolutional neural networks in computer vision

Artificial Intelligence Review
In computer vision, a series of exemplary advances have been made in several areas involving image classification, semantic segmentation, object detection, and image super-resolution reconstruction with the rapid development of deep convolutional neural ...
Xia Zhao, Limin Wang, Yufei Zhang, Xuming Han, Muhammet Deveci, Milan Parmar   +5 more
semanticscholar   +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

Seizure detection by convolutional neural network-based analysis of scalp electroencephalography plot images

NeuroImage: Clinical, 2019
We hypothesized that expert epileptologists can detect seizures directly by visually analyzing EEG plot images, unlike automated methods that analyze spectro-temporal features or complex, non-stationary features of EEG signals.
Ali Emami, Naoto Kunii, Takeshi Matsuo, Takashi Shinozaki, Kensuke Kawai, Hirokazu Takahashi   +5 more
doaj  

Understanding of a convolutional neural network [PDF]

2017 International Conference on Engineering and Technology (ICET), 2017
The term Deep Learning or Deep Neural Network refers to Artificial Neural Networks (ANN) with multi layers. Over the last few decades, it has been considered to be one of the most powerful tools, and has become very popular in the literature as it is able to handle a huge amount of data. The interest in having deeper hidden layers has recently begun to
Albawi, Saad, Mohammed, Tareq Abed, Al-Zawi, Saad   +2 more
openaire   +2 more sources

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

Toward Audio Beehive Monitoring: Deep Learning vs. Standard Machine Learning in Classifying Beehive Audio Samples

Applied Sciences, 2018
Electronic beehive monitoring extracts critical information on colony behavior and phenology without invasive beehive inspections and transportation costs.
Vladimir Kulyukin, Sarbajit Mukherjee, Prakhar Amlathe   +2 more
doaj   +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