Results 51 to 60 of about 60,322 (264)
Energy-Efficient Deep Learning Training
Deep learning has evolved into the most important supporting technology for artificial intelligence (AI) and has achieved widespread application across various fields. However, the energy expenditure associated with training deep learning models has become increasingly significant, now representing an undeniable part of global carbon emissions.
Lei Guan, Shaofeng Zhang, Yongle Chen
openaire +1 more source
High performance and energy efficient inference for deep learning on ARM processors
CoRR, 2021 13 pages, 7 ...
Adrián Castelló 0001 +4 more
openaire +2 more sources
RNA Sequencing Resolves Cryptic Pathogenic Variants in Mitochondrial Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Mitochondrial diseases are the most common inherited metabolic disorders, characterized by pronounced clinical and genetic heterogeneity that complicates molecular diagnosis. Although DNA‐based sequencing approaches have become standard in genetic testing, up to half of patients remain without a definitive diagnosis.
Zhimei Liu +21 more
wiley +1 more source
Enhancing the Efficiency of Routing Strategies in WSNs Using Live Streaming Algorithms
Journal of TechniquesThe application of machine learning in wireless sensor networks (WSN) has attracted much attention. Since references in WSNs are pre-defined, determining how to optimize the utilization of resources and achieve efficient load balancing has become a ...
Hayder Jasim Alhamdane, Mohsen Nickray
doaj +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
Machine Learning-Driven Mathematical Models for Energy-Efficient Fisheries Operations [PDF]
BIO Web of ConferencesEnergy consumption is a major challenge in fisheries, affecting operating costs and environmental sustainability. This study develops machine learning (ML)-driven mathematical models to predict and optimize energy use by integrating operational variables,
Lenggo Ginta Turnad +9 more
doaj +1 more source
Journal of Innovative Optical Health Sciences, 2020 Intensity-based quantitative fluorescence resonance energy transfer (FRET) is a technique to measure the distance of molecules in scale of a few nanometers which is far beyond optical diffraction limit.
Lin Ge, Fei Liu, Jianwen Luo
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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
The Lupus Damage Index Revision Program: Results From the Item Generation and Reduction Phases
Arthritis Care &Research, EarlyView.Objective A data‐driven and expert/patient consensus‐based project to develop a revised Systemic Lupus International Collaborating Clinics (SLICC)/American College of Rheumatology (ACR) Damage Index (SDI) is under way supported by SLICC, ACR, and the Lupus Foundation of America. Our objective is to report the item generation and reduction phase results
Burak Kundakci +25 more
wiley +1 more source
Deep Reinforcement Learning for Energy-Efficient Data Dissemination Through UAV Networks
IEEE Open Journal of the Communications SocietyThe rise of the Internet of Things (IoT), marked by unprecedented growth in connected devices, has created an insatiable demand for supplementary computational and communication resources.
Abubakar S. Ali +5 more
doaj +1 more source