Results 141 to 150 of about 127,617 (265)

Constructing biologically constrained RNNs via Dale's backpropagation and topologically informed pruning. [PDF]

Sci Adv
Balwani A, Wang AQ, Najafi F, Choi H.
europepmc   +1 more source

Wearable fabric electronics for sensing, memory and neuromorphic computing applications

FlexMat, EarlyView.
Overview of textile electronic devices for sensing, memory and neuromorphic computing applications. Abstract With the advent of the big data era, traditional Von Neumann architecture is facing an energy consumption bottleneck due to separated memory and computing units, inspiring the research of brain‐like neuromorphic computing devices for artificial ...
Bo Sun, Lin Lu, Jialin Meng, Tianyu Wang
wiley   +1 more source

Explainable convolutional neural network architectures for high-performance taxonomic classification of gasteroid macrofungi. [PDF]

Sci Rep
Kumru E, Ekinci F, Aydoğan A, Güzel MS, Sevindik M, Akata I.   +5 more
europepmc   +1 more source

Hyperspectral Imaging Combined With Image Fusion Features and Machine Learning to Discriminate Different Origins, Grades, and Shelf‐Life of Oranges

Food Safety and Health, EarlyView.
This study verified that it is feasible to distinguish oranges of different origins, grades and shelf lives by using hyperspectral technology. It covers spectral, image and graph technologies, as well as machine learning and deep learning models. ABSTRACT This study reports the first application of hyperspectral feature fusion technology combined with ...
Honghui Xiao, Hao Hu, Hanyi Mei, Hao Deng, Yongzhi Zhang, Jing Nie, Hao Wu, Karyne M. Rogers, Yuwei Yuan, Chunlin Li   +9 more
wiley   +1 more source

A Multi-Branch Training Strategy for Enhancing Neighborhood Signals in GNNs for Community Detection. [PDF]

Entropy (Basel)
Guo Y, Wu Q, Lü L.
europepmc   +1 more source

Polygenic risk score and prostate specific antigen predict death from prostate cancer in men with intermediate aggressive cancer

International Journal of Cancer, EarlyView.
What's New? Using 21 SNPs, two novel PRS were constructed and used to develop two new machine‐learning classifiers, one for the detection of prostate cancer and the other for the prediction of its aggressiveness and subsequent mortality. The classifier for disease detection is built using the PRS as the sole feature, whereas the one for disease ...
Leandro Rodrigues Santiago, Efthymios Ladoukakis, Dorota Scibior‐Bentkowska, Belinda Nedjai   +3 more
wiley   +1 more source

Visual classification of allergenic pollen in iteratively reconstructed lens-less DIHM images. [PDF]

Sci Rep
Cugmas B, Štruc E, Tamosiunas M, Marcinkevičs Z, Bürmen M, Naglič P.   +5 more
europepmc   +1 more source

Using Deep Learning Conditional Value‐at‐Risk Based Utility Function in Cryptocurrency Portfolio Optimisation

International Journal of Finance &Economics, EarlyView.
ABSTRACT One of the critical risks associated with cryptocurrency assets is the so‐called downside risk, or tail risk. Conditional Value‐at‐Risk (CVaR) is a measure of tail risks that is not normally considered in the construction of a cryptocurrency portfolio.
Xinran Huang, Linzhi Tan, Haozhe Su, Jeremy Eng‐Tuck Cheah   +3 more
wiley   +1 more source

Deep-Learning- versus Hypothesis-Driven Modeling in Model-Informed Drug Development: A PK/PD Case Study. [PDF]

J Clin Pharmacol
Gomeni R, Bressolle-Gomeni F.
europepmc   +1 more source

Gradual volatile memristor–based artificial neurons with high uniformity for neuromorphic computing

InfoScience, EarlyView.
Schematic of leaky integrate‐and‐fire artificial neurons for MNIST image classification. Abstract Artificial neurons are pivotal for neuromorphic hardware, but the development of compact and uniform devices remains challenging. Conventional volatile memristors suffer from abrupt switching, which hinders spatiotemporal consistency.
Pengtao Li, Guobin Zhang, Zhihao Gong, Zijian Wang, Xuemeng Fan, Qi Luo, Zhejia Zhang, Dawei Gao, Mingkun Xu, Hua Wang, Shuai Zhong, Qing Wan, Yishu Zhang   +12 more
wiley   +1 more source