Results 51 to 60 of about 279,507 (217)

Memory management in deep learning:a survey

大数据, 2020
In recent years,deep learning has achieved great success in many fields.As the deep neural network develops towards a deeper and wider direction,the training and inference of a deep neural network face huge memory pressure.The limited memory space of ...
Weiliang MA, Xuan PENG, Qian XIONG, Xuanhua SHI, Hai JIN   +4 more
doaj  

Epigenetic reprogramming of lineage switching in cancer

FEBS Letters, EarlyView.
Cancer cells rarely commit to a single identity. Epigenetic mechanisms and tumor microenvironment cues push epithelial cells toward flexible, hybrid states that can shift into mesenchymal, neuroendocrine, or stem‐like fates, driving metastasis, drug resistance, and tumor heterogeneity. Targeting the epigenetic regulators behind these transitions, using
Ezgi Boyvatlı, Burcu Akman, Ezgi Bağırsakçı, Nese Atabey, Serap Erkek‐Ozhan   +4 more
wiley   +1 more source

Deep Learning and Higher Degree F-Transforms: Interpretable Kernels Before and After Learning

International Journal of Computational Intelligence Systems, 2020
One of the current trends in the deep neural network technology consists in allowing a man–machine interaction and providing an explanation of network design and learning principles. In this direction, an experience with fuzzy systems is of great support.
Vojtech Molek, Irina Perfilieva
doaj   +1 more source

Heart rate variability-derived features based on deep neural network for distinguishing different anaesthesia states

BMC Anesthesiology, 2021
Background Estimating the depth of anaesthesia (DoA) is critical in modern anaesthetic practice. Multiple DoA monitors based on electroencephalograms (EEGs) have been widely used for DoA monitoring; however, these monitors may be inaccurate under certain
Jian Zhan, Zhuo-xi Wu, Zhen-xin Duan, Gui-ying Yang, Zhi-yong Du, Xiao-hang Bao, Hong Li   +6 more
doaj   +1 more source

Emerging experimental and computational methods for studying redox‐regulated structural transitions

FEBS Letters, EarlyView.
Redox reactions can reshape proteins and alter how they behave in cells, with important consequences for health and disease. This review explores emerging experimental and computational approaches for discovering these redox‐sensitive protein switches, revealing their structural effects, and predicting their behavior, opening new opportunities to ...
Tasneem Rass, Dana Reichmann, Gábor Erdős   +2 more
wiley   +1 more source

Economic Structure Analysis Based on Neural Network and Bionic Algorithm

Complexity, 2021
In this article, an in-depth study and analysis of economic structure are carried out using a neural network fusion release algorithm. The method system defines the weight space and structure space of neural networks from the perspective of optimization ...
Yanjun Dai, Lin Su
doaj   +1 more source

Prospecting the protein design landscape

FEBS Letters, EarlyView.
This review outlines the current state of various protein design approaches. We discuss the current possibilities enabled by recently released tools, highlight future avenues to pursue in protein design, and underscore the crucial role of key databases and resources for successful protein design workflows.
Jakob R. Riccabona, Katharina T. Stonig, Jens Meiler, Clara T. Schoeder, Monica L. Fernández‐Quintero   +4 more
wiley   +1 more source

Metastatic niche shaped by host factors influences disseminated cancer cell fate

FEBS Letters, EarlyView.
Metastasis is shaped not only by cancer cells but also by the environments they encounter. This review explores how factors such as aging, diet, the microbiome, lifestyle, and environmental exposures remodel organ‐specific niches in the lung, liver, bone, and brain, influencing where metastatic cells survive, remain dormant, or grow, and ultimately ...
Gwennan Delyth Ward, Álvaro Ruiz‐Tabas, Patricia Altea‐Manzano   +2 more
wiley   +1 more source

Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment

Molecular Oncology, EarlyView.
This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley   +1 more source

Application of deep learning for division of petroleum reservoirs

MATEC Web of Conferences, 2018
Traditional methods of dividing petroleum reservoirs are inefficient, and the accuracy of onehidden-layer BP neural network is not ideal when applied to dividing reservoirs.
Qin Yaqiong, Ye Zhaohui, Zhang Conghui
doaj   +1 more source