Results 51 to 60 of about 219,698 (314)

Neural networks for the Recognition of X-ray Images of Ailments for Covid-19

Journal of Education, Health and Sport, 2022
This investigation analyzes the current state of neural networks, considers the available types, optimizers used for training, describes their benefits and disadvantages.
Liliia Diachenko, Oleksandr Lazoriak, Yurii Dobrovolsky, Georgii Prokhorov, Liliia Shumyliak   +4 more
doaj   +1 more source

Modulation of feedback-related negativity by objective and subjective response correctness

Scientific Reports
Monitoring actions and outcomes is essential for flexible adaptation to environmental demands. Information about errors is important regardless of whether it is internally generated or externally signaled.
Yasuhisa Maruyama, Keita Aoyama, Osamu Fukayama   +2 more
doaj   +1 more source

Probabilistic classification of quality of service in wireless computer networks

ICT Express, 2019
There is an increasing reliance on wireless computer networks for communicating various types of time sensitive applications such as voice over internet protocol (VoIP). Quality of service (QoS) can play an important role in wireless computer networks as
Abdussalam Salama, Reza Saatchi
doaj   +1 more source

Anti-periodic behavior for quaternion-valued delayed cellular neural networks

Advances in Difference Equations, 2021
In this manuscript, quaternion-valued delayed cellular neural networks are studied. Applying the continuation theorem of coincidence degree theory, inequality techniques and a Lyapunov function approach, a new sufficient condition that guarantees the ...
Zhenhua Duan, Changjin Xu
doaj   +1 more source

Feasibility and Safety of Somato‐Cognitive Coordination Therapy for Cerebellar Ataxia Following Pediatric Brain Tumor Treatment

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Cerebellar ataxia after pediatric brain tumor treatment can cause persistent gait, balance, and speech impairment, yet no established rehabilitation strategy exists. Somato‐cognitive coordination therapy (SCCT) is a virtual reality–guided intervention designed to promote sensorimotor integration through visually constrained reaching
Masanobu Takeuchi, Takashi Matsuzawa, Jun Yamanishi, Masahiro Yoshitomi, Junji Ikeda, Shin‐Ichi Tsujimoto, Yasuteru Yamaguchi, Norio Shiba, Dhroov Pathare, Ayumi Kato, Masahiko Hara   +10 more
wiley   +1 more source

The Role of Chemotherapy in Pediatric Myoepithelial Carcinoma: A Systematic Review of the Literature

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Myoepithelial carcinoma (MEC) in pediatric patients is a rare and aggressive malignancy characterized by heterogeneous morphology and variable molecular features. The optimal role of chemotherapy remains unclear. We conducted a systematic review according to PRISMA 2020 guidelines to evaluate chemotherapy in pediatric and young‐adult patients ...
Marco Salvi, Maria Carmen Affinita, Giulia Fichera, Luisa Santoro, Angela Scagnellato, Calogero Virgone, Elena Poli, Gianni Bisogno   +7 more
wiley   +1 more source

Prediction of Convergence Dynamics of Design Performance using Differential Recurrent Neural Networks [PDF]

, 2008
Computational Fluid Dynamics (CFD) simulations have been extensively used in many aerodynamic design optimization problems, such as wing and turbine blade shape design optimization.
Sendhoff, Bernhard, Yaochu Jin, Bernhard Sendhoff, Jin, Yaochu, Kowalczykiewicz, Michal, Yi Cao, Cao, Yi, Michal Kowalczykiewicz   +7 more
core   +1 more source

Reciprocal control of viral infection and phosphoinositide dynamics

FEBS 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

Exploring Traffic Systems by Elasticity Analysis of Neural Networks [PDF]

, 2019
This chapter shows how elasticity testing of neural networks can greatly aid our understanding of transport systems. It examines several different pieces of work which have the common theme of using neural networks, coupled with a technique of elasticity
Dougherty, Mark,, Mark Dougherty
core   +1 more source

A decade of adversarial examples: a survey on the nature and understanding of neural network non-robustness

Компьютерная оптика
Adversarial examples, in the context of computer vision, are inputs deliberately crafted to deceive or mislead artificial neural networks. These examples exploit vulnerabilities in neural networks, resulting in minimal alterations to the original input ...
A.V. Trusov, E.E. Limonova, V.V. Arlazarov   +2 more
doaj   +1 more source