Results 61 to 70 of about 1,476,903 (264)

Comparative Analysis of Recurrent Neural Network Architectures for Reservoir Inflow Forecasting

Water, 2020
Due to the stochastic nature and complexity of flow, as well as the existence of hydrological uncertainties, predicting streamflow in dam reservoirs, especially in semi-arid and arid areas, is essential for the optimal and timely use of surface water ...
Halit Apaydin, H. Feizi, M. Sattari, M. Colak, S. Shamshirband, K. Chau   +5 more
semanticscholar   +1 more source

Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system

FEBS Letters, EarlyView.
Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley   +1 more source

Micrometer Backstepping Control System for Linear Motion Single Axis Robot Machine Drive

Sensors, 2019
In order to cut down influence on the uncertainty disturbances of a linear motion single axis robot machine, such as the external load force, the cogging force, the column friction force, the Stribeck force, and the parameters variations, the micrometer ...
Chih-Hong Lin, Kuo-Tsai Chang
doaj   +1 more source

Spatial–Temporal Recurrent Neural Network for Emotion Recognition [PDF]

IEEE Transactions on Cybernetics, 2017
In this paper, we propose a novel deep learning framework, called spatial–temporal recurrent neural network (STRNN), to integrate the feature learning from both spatial and temporal information of signal sources into a unified spatial–temporal dependency
T. Zhang, Wenming Zheng, Zhen Cui, Yuan Zong, Yang Li   +4 more
semanticscholar   +1 more source

Potential therapeutic targeting of BKCa channels in glioblastoma treatment

Molecular Oncology, EarlyView.
This review summarizes current insights into the role of BKCa and mitoBKCa channels in glioblastoma biology, their potential classification as oncochannels, and the emerging pharmacological strategies targeting these channels, emphasizing the translational challenges in developing BKCa‐directed therapies for glioblastoma treatment.
Kamila Maliszewska‐Olejniczak, Karolina Pytlak, Sandra Jaworowska, Bogusz Kulawiak, Piotr Bednarczyk   +4 more
wiley   +1 more source

Universal approximation property of stochastic configuration networks for time series

Industrial Artificial Intelligence
For the purpose of processing sequential data, such as time series, and addressing the challenge of manually tuning the architecture of traditional recurrent neural networks (RNNs), this paper introduces a novel approach-the Recurrent Stochastic ...
Jin-Xi Zhang, Hangyi Zhao, Xuefeng Zhang
doaj   +1 more source

Using recurrent neural network models for early detection of heart failure onset

J. Am. Medical Informatics Assoc., 2016
Objective: We explored whether use of deep learning to model temporal relations among events in electronic health records (EHRs) would improve model performance in predicting initial diagnosis of heart failure (HF) compared to conventional methods that ...
E. Choi, A. Schuetz, W. Stewart, Jimeng Sun   +3 more
semanticscholar   +1 more source

Unsupervised Recurrent Neural Network Grammars [PDF]

North American Chapter of the Association for Computational Linguistics, 2019
Recurrent neural network grammars (RNNG) are generative models of language which jointly model syntax and surface structure by incrementally generating a syntax tree and sentence in a top-down, left-to-right order.
Yoon Kim, Alexander M. Rush, Lei Yu, A. Kuncoro, Chris Dyer, Gábor Melis   +5 more
semanticscholar   +1 more source

Exploiting metabolic adaptations to overcome dabrafenib treatment resistance in melanoma cells

Molecular Oncology, EarlyView.
We show that dabrafenib‐resistant melanoma cells undergo mitochondrial remodeling, leading to elevated respiration and ROS production balanced by stronger antioxidant defenses. This altered redox state promotes survival despite mitochondrial damage but renders resistant cells highly vulnerable to ROS‐inducing compounds such as PEITC, highlighting redox
Silvia Eller, Susanne Ebner, Carmen Haselrieder, Julia K. Günther, Astrid Drasche, Sophie Strich, Chiara Volani, Andrea Medici, Aleksandar Nikolajevic, Alex Deltedesco, Johannes E. Sigmund, Michael J. Blumer, Martin Hermann, Johanna Vanacker, Gerald Brandacher, Eduard Stefan, Omar Torres‐Quesada, Jakob Troppmair   +17 more
wiley   +1 more source

Artificial Intelligence Image Recognition Method Based on Convolutional Neural Network Algorithm

IEEE Access, 2020
As an algorithm with excellent performance, convolutional neural network has been widely used in the field of image processing and achieved good results by relying on its own local receptive fields, weight sharing, pooling, and sparse connections.
Youhui Tian
doaj   +1 more source