Results 71 to 80 of about 9,883,756 (332)
RECENT ADVANCES AND APPLICATIONS OF DEEP LEARNING (DL) IN THE ACCOUNTING PROFESSION
Edumania-An International Multidisciplinary JournalIn recent years, the accounting profession has undergone a transformative revolution with the help of rapid advancement in Deep Learning (DL) technologies.
Venkatasubramanian Ganapathy
semanticscholar +1 more source
ISO/IEC JTC 1/SC 29/WG 1 (ITU-T SG16)
, 2022 Relatório técnicoThis document describes the JPEG Pleno Point Cloud Coding [1] Verification Model (VM), consisting of a deep learning (DL)-based joint point cloud (PC) geometry and colour codec [2].N/
Guarda, André F. R. +5 more
core +1 more source
Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif +17 more
wiley +1 more source
SLDR-DL: A Framework for SLD-Resolution with Deep Learning
CoRR, 2017 This paper introduces an SLD-resolution technique based on deep learning. This technique enables neural networks to learn from old and successful resolution processes and to use learnt experiences to guide new resolution processes. An implementation of this technique is named SLDR-DL. It includes a Prolog library of deep feedforward neural networks and
openaire +2 more sources
Deep Learning (DL) approaches in Orthopedics: A Literature Review
, 2021 {"references": ["1.\tBjarnadottir, Ragnhildur I., et al. \"Implementation of electronic health records in US nursing homes.\" Computers, informatics, nursing: CIN 35.8 (2017): 417.", "2.\tTan, Zhiqiang, et al. \"An Automatic Classification Method for Adolescent Idiopathic Scoliosis Based on U-net and Support Vector Machine.\" Journal of Imaging Science
Dr. Fahad Siddique Jatoi +2 more
openaire +2 more sources
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Dysregulated lipid metabolism, which can affect remyelination and neural repair, has not been extensively investigated in progressive multiple sclerosis (PMS). The goal was to examine whether dysregulated cholesterol metabolism was associated with disability in PMS. Methods The study sample comprised 53 Severe PMS patients (Expanded
Taylor R. Wicks +8 more
wiley +1 more source
, 2023 This chapter introduces deep learning (DL) in the framework of experimentalism, taking inspiration from Pierre Oleron’s explanation of human intellectual activities in terms of long (or, deep) circuits.
F. Precioso, E. Trentin, M. Gori
core +1 more source
Study of Deep Learning in Medical Education: Opportunities, Achievements and Future Challenges [PDF]
Journal of Advances in Medical Education and ProfessionalismIntroduction: In this era of progress, interest has developed regarding advancing deep learning (DL) in medicine. However, there has been reluctance to use deep learning, particularly among medical educators.
HOSSEIN MORADIMOKHLES +4 more
doaj +1 more source
Arthritis Care &Research, EarlyView.Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos +2 more
wiley +1 more source
Deep Learning Cluster Structures for Management Decisions: The Digital CEO
Sensors, 2018 This paper presents a Deep Learning (DL) Cluster Structure for Management Decisions that emulates the way the brain learns and makes choices by combining different learning algorithms.
Will Serrano
doaj +1 more source