Results 51 to 60 of about 1,476,903 (264)

Deep neural network model for group activity recognition using contextual relationship

open access: yesEngineering Science and Technology, an International Journal, 2019
In this paper, we present contextual relationship-based learning model using deep neural network for recognizing the activities performed by a group of people in a video sequence.
S.A. Vahora, N.C. Chauhan
doaj   +1 more source

Reciprocal control of viral infection and phosphoinositide dynamics

open access: yesFEBS Letters, EarlyView.
Phosphoinositides, although scarce, regulate key cellular processes, including membrane dynamics and signaling. Viruses exploit these lipids to support their entry, replication, assembly, and egress. The central role of phosphoinositides in infection highlights phosphoinositide metabolism as a promising antiviral target.
Marie Déborah Bancilhon, Bruno Mesmin
wiley   +1 more source

Solution of Text Title Selection Based on Neural Network [PDF]

open access: yesJisuanji gongcheng, 2018
To choose the most appropriate answer from the waiting list as the title of the article,this paper proposes a model which is based on Convolutional Neural Network(CNN) and Recurrent Neural Network(RNN).The model contains the characteristics of extracting
Lü Guoying,GUAN Yong,LI Ru,GUO Shaoru,TAN Hongye
doaj   +1 more source

Disordered but rhythmic—the role of intrinsic protein disorder in eukaryotic circadian timing

open access: yesFEBS Letters, EarlyView.
Unstructured domains known as intrinsically disordered regions (IDRs) are present in nearly every part of the eukaryotic core circadian oscillator. IDRs enable many diverse inter‐ and intramolecular interactions that support clock function. IDR conformations are highly tunable by post‐translational modifications and environmental conditions, which ...
Emery T. Usher, Jacqueline F. Pelham
wiley   +1 more source

Integration of circadian and hypoxia signaling via non‐canonical heterodimerization

open access: yesFEBS Letters, EarlyView.
CLOCK, BMAL1, and HIFs are basic helix‐loop‐helix and Per‐Arnt‐Sim domain (bHLH‐PAS) proteins, which function as transcription factors. bHLH‐PAS proteins are designated in two classes. Many class I proteins are regulated by environmental signals via their PAS domains, but such signals have not been identified for all.
Sicong Wang, Katja A. Lamia
wiley   +1 more source

Time after time – circadian clocks through the lens of oscillator theory

open access: yesFEBS Letters, EarlyView.
Oscillator theory bridges physics and circadian biology. Damped oscillators require external drivers, while limit cycles emerge from delayed feedback and nonlinearities. Coupling enables tissue‐level coherence, and entrainment aligns internal clocks with environmental cues.
Marta del Olmo   +2 more
wiley   +1 more source

Estimation of applicability of modern neural network methods for preventing cyberthreats to self-organizing network infrastructures of digital economy platformsa,b

open access: yesSHS Web of Conferences, 2018
The problems of applying neural network methods for solving problems of preventing cyberthreats to flexible self-organizing network infrastructures of digital economy platforms: vehicle adhoc networks, wireless sensor networks, industrial IoT, “smart ...
Kalinin Maxim   +2 more
doaj   +1 more source

Wave physics as an analog recurrent neural network [PDF]

open access: yesScience Advances, 2019
Analog machine learning computations are performed passively by propagating light and sound waves through programmed materials. Analog machine learning hardware platforms promise to be faster and more energy efficient than their digital counterparts ...
Tyler W. Hughes   +3 more
semanticscholar   +1 more source

Organ‐specific redox imbalances in spinal muscular atrophy mice are partially rescued by SMN antisense oligonucleotides

open access: yesFEBS Letters, EarlyView.
We identified a systemic, progressive loss of protein S‐glutathionylation—detected by nonreducing western blotting—alongside dysregulation of glutathione‐cycle enzymes in both neuronal and peripheral tissues of Taiwanese SMA mice. These alterations were partially rescued by SMN antisense oligonucleotide therapy, revealing persistent redox imbalance as ...
Sofia Vrettou, Brunhilde Wirth
wiley   +1 more source

Bidirectional convolutional recurrent neural network architecture with group-wise enhancement mechanism for text sentiment classification

open access: yesJournal of King Saud University: Computer and Information Sciences, 2022
Sentiment analysis has been a well-studied research direction in computational linguistics. Deep neural network models, including convolutional neural networks (CNN) and recurrent neural networks (RNN), yield promising results on text classification ...
Aytuğ Onan
doaj   +1 more source

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