Results 91 to 100 of about 176,464,163 (313)

Real‐world image deblurring using data synthesis and feature complementary network

IET Image Processing
Many learning‐based approaches to image deblurring have received increasing attention in recent years. However, the models trained on existing synthetic datasets do not generalize well to real‐world blur, resulting in undesirable artifacts and residual ...
Hao Wei, Chenyang Ge, Xin Qiao, Pengchao Deng   +3 more
doaj   +1 more source

A Robust Deep Learning Approach for COPD Automated Detection

Sensors
COPD remains a prevalent and debilitating respiratory condition, necessitating early and accurate diagnosis for optimal clinical intervention. In this study, we propose a novel deep learning-based diagnostic framework that employs the ECAPA-TDNN ...
Shuting Xu, Ravinesh C. Deo, Salvin S. Prasad, Prabal D. Barua, Jeffrey Soar, Rajendra Acharya   +5 more
doaj   +1 more source

Application of artificial intelligence in hypertension

Clinical Hypertension
Hypertension is an important modifiable risk factor for morbidity and mortality associated with cardiovascular disease. The incidence of hypertension is increasing not only in Korea but also in many Western countries due to the aging of the population and the increase in unhealthy lifestyles.
Jung Sun Cho, Jae-Hyeong Park
openaire   +3 more sources

Implications of Ad Hoc Artificial Intelligence in Music

, 2021
This paper is an examination of several well-known applications of artificial intelligence in music generation. The algorithms in EMI, GenJam, WolframTones, and Swarm Music are examined in pursuit of ad hoc modifications.
Merz, Evan
core   +1 more source

Risk of Non‐Arteritic Anterior Ischemic Optic Neuropathy in Idiopathic Intracranial Hypertension Patients Treated with GLP‐1 Receptor Agonists

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Glucagon‐like peptide‐1 receptor agonists (GLP‐1 RAs) have demonstrated significant weight‐reducing effects and may offer benefits in idiopathic intracranial hypertension (IIH); however, recent concerns about the risk of non‐arteritic anterior ischemic optic neuropathy (NAION) have emerged.
Faisal A. Al‐Harbi, Mohanad A. Alkuwaiti, Yazeed B. Alaql, Ahmed K. Alsaif, Ahmed A. Alessa, Meshari Ayed Alharbi, Mohammed Alfalah, Saud A. Alnaaim, Sajjad M. AlHaddad, Ahmed Y. Azzam   +9 more
wiley   +1 more source

Automated Lightweight Model for Asthma Detection Using Respiratory and Cough Sound Signals

Diagnostics
Background and objective: Chronic respiratory diseases, such as asthma and COPD, pose significant challenges to human health and global healthcare systems. This pioneering study utilises AI analysis and modelling of cough and respiratory sound signals to
Shuting Xu, Ravinesh C. Deo, Oliver Faust, Prabal D. Barua, Jeffrey Soar, Rajendra Acharya   +5 more
doaj   +1 more source

‘Robotics in artificial intelligence – how is robotics different from artificial intelligence [PDF]

, 2022
Artificial intelligence (AI) and robotics are a important combination for automating tasks outside and outdoors of the plant setting. In recent times, AI has come an decreasingly common presence in robotic results, introducing inflexibility and literacy ...
Bhushan, Tripti
core  

Spatial and Volumetric Characteristics of Glioblastoma: Associations With Clinical Presentation and Survival

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective We aim to comprehensively analyze how regional tumor and edema characteristics are associated with clinical presentations and survival outcomes in a large cohort of glioblastoma patients. Methods Patients with IDH‐wildtype glioblastoma who received brain MRI from 2010 to 2023 were included.
Daniel J. Zhou, Marc Jaskir, Julian Gal, Yombe Fonkeu, Christos Davatzikos, MacLean P. Nasrallah, Jose Garcia, Rubo Xing, Stephen J. Bagley, Arati Desai, Richard E. Phillips, Steven Tobochnik, Colin A. Ellis, James J. Gugger, Nishant Sinha, Joel M. Stein, Kathryn A. Davis   +16 more
wiley   +1 more source

Resource allocation of distributed MIMO radar based on the hybrid action space reinforcement learning

Scientific Reports
The distributed multiple-input multiple-output (MIMO) radar system exhibits superior target localization capability by jointly processing target information from multiple radars under different observation angles.
Jin Zhu, Wenxu Liu, Feifei Lyu, Siwei Li, Tianyang Zhang   +4 more
doaj   +1 more source

Artificial intelligence-based health data

This book chapter provides a comprehensive examination of the importance of health data, the use of health data with artificial intelligence, and synthetic data generation. First, it focuses on the importance of health data, privacy and security, and the
Er, Orhan, Hızıroğlu, Ourania Areta, Akarsu, Kamil   +2 more
core   +1 more source