Results 51 to 60 of about 84,699 (302)
, 2023 G-protein-coupled receptor (GPCR) density at the cell surface is thought to regulate receptor function. Spatially resolved measurements of local-density effects on GPCRs are needed but technically limited by density heterogeneity and mobility of membrane
Zhirui Wang (629192) +21 more
core +2 more sources
Deep Learning for Credit Card Fraud Detection: A Review of Algorithms, Challenges, and Solutions
IEEE AccessDeep learning (DL), a branch of machine learning (ML), is the core technology in today’s technological advancements and innovations. Deep learning-based approaches are the state-of-the-art methods used to analyse and detect complex patterns in ...
Ibomoiye Domor Mienye, Nobert Jere
doaj +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
FEBS Open Bio, EarlyView.Activation of the mitochondrial protein OXR1 increases pSyn129 αSynuclein aggregation by lowering ATP levels and altering mitochondrial membrane potential, particularly in response to MSA‐derived fibrils. In contrast, ablation of the ER protein EMC4 enhances autophagic flux and lysosomal clearance, broadly reducing α‐synuclein aggregates.
Sandesh Neupane +11 more
wiley +1 more source
Aging and Cancer, EarlyView.This systematic review synthesizes prognostic models for survival and recurrence in resected non‐small cell lung cancer. While many models demonstrate moderate to good discrimination, few are externally validated and reporting quality is variable, limiting clinical applicability and highlighting the need for robust, transparent model development ...
Evangeline Samuel +4 more
wiley +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
Deep learning for network anomalies detection
, 2019 Intrusion Detection Systems (IDS) provide substantial measures to protect networks assets. IDSs are software /hardware systems dedicated to exposing network threats.
Dawoud, Ahmed (S32149) +2 more
core +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