Development and Validation of Image-Based Deep Learning Models to Predict Surgical Complexity and Complications in Abdominal Wall Reconstruction.
Sign Up to like & getrecommendations! Published in 2021 at "JAMA surgery"
DOI: 10.1001/jamasurg.2021.3012
Abstract: Importance Image-based deep learning models (DLMs) have been used in other disciplines, but this method has yet to be used to predict surgical outcomes. Objective To apply image-based deep learning to predict complexity, defined as… read more here.
Keywords: image based; complexity; surgical complexity; deep learning ... See more keywords
A Cluster‐Based Deep Learning Model Perceiving Series Correlation for Accurate Prediction of Phonon Spectrum
Sign Up to like & getrecommendations! Published in 2024 at "Advanced Science"
DOI: 10.1002/advs.202406183
Abstract: The spectral properties are the most prevalent continuous representation for characterizing transport phenomena and excitation responses, yet their accurate predictions remain a challenge due to the inability to perceive series correlations by existing machine learning… read more here.
Keywords: based deep; cluster based; series; model ... See more keywords
Iron‐Based Deep Eutectic Solvents: Key Players for Amide and Sulfonamide Synthesis and Alcohol Oxidation
Sign Up to like & getrecommendations! Published in 2024 at "European Journal of Organic Chemistry"
DOI: 10.1002/ejoc.202400300
Abstract: A sustainable protocol has been devised for the oxidation of activated secondary alcohols to their corresponding carbonyl compounds, as well as their utilization as selective mono‐alkylating reagents for both amide and arylsulfonamide derivatives. These reactions… read more here.
Keywords: based deep; solvents key; deep eutectic; eutectic solvents ... See more keywords
NMR-based deep learning classification of raw cow's milk samples in different stages of mastitis.
Sign Up to like & getrecommendations! Published in 2025 at "Journal of the science of food and agriculture"
DOI: 10.1002/jsfa.70200
Abstract: Bovine mastitis is an inflammation of the mammary glands, usually caused by various pathogenic bacteria combined with glandular tissue injury of the cow's udder. Mastitis significantly affects the milk composition, since it changes the protein… read more here.
Keywords: based deep; cow; deep learning; milk ... See more keywords
Assessing Graph‐based Deep Learning Models for Predicting Flash Point
Sign Up to like & getrecommendations! Published in 2020 at "Molecular Informatics"
DOI: 10.1002/minf.201900101
Abstract: Flash points of organic molecules play an important role in preventing flammability hazards and large databases of measured values exist, although millions of compounds remain unmeasured. To rapidly extend existing data to new compounds many… read more here.
Keywords: graph based; flash point; deep learning; point ... See more keywords
AFM-Based Deep Learning Decodes Human Macrophage Mechanophenotypes.
Sign Up to like & getrecommendations! Published in 2025 at "Small methods"
DOI: 10.1002/smtd.202500953
Abstract: Macrophage polarization into inflammatory (M1) and repairing/healing (M2) functional phenotypes are fundamental mechanisms in immune defensive responses, tissue repair, and disease control. Conventional phenotyping approaches based on molecular biomarkers are limited by destructive protocols, static… read more here.
Keywords: based deep; deep learning; afm based; macrophage ... See more keywords
Topology optimization based on deep representation learning (DRL) for compliance and stress-constrained design
Sign Up to like & getrecommendations! Published in 2020 at "Computational Mechanics"
DOI: 10.1007/s00466-020-01859-5
Abstract: This paper proposed a new topology optimization method based on geometry deep learning. The density distribution in design domain is described by deep neural networks. Compared to traditional density-based method, using geometry deep learning method… read more here.
Keywords: topology; topology optimization; geometry; compliance stress ... See more keywords
Review of intrusion detection systems based on deep learning techniques: coherent taxonomy, challenges, motivations, recommendations, substantial analysis and future directions
Sign Up to like & getrecommendations! Published in 2019 at "Neural Computing and Applications"
DOI: 10.1007/s00521-019-04557-3
Abstract: This study reviews and analyses the research landscape for intrusion detection systems (IDSs) based on deep learning (DL) techniques into a coherent taxonomy and identifies the gap in this pivotal research area. The focus is… read more here.
Keywords: analysis; deep learning; detection systems; intrusion detection ... See more keywords
Arrhythmia diagnosis of young martial arts athletes based on deep learning for smart medical care
Sign Up to like & getrecommendations! Published in 2021 at "Neural Computing and Applications"
DOI: 10.1007/s00521-021-06159-4
Abstract: Cardiovascular and cerebrovascular diseases are a serious threat to human health and increase the annual death ratio at a considerable pace. This is not uncommon even among teenagers and martial arts athletes. Due to the… read more here.
Keywords: martial arts; arts athletes; based deep; arrhythmia diagnosis ... See more keywords
Cyberbullying detection solutions based on deep learning architectures
Sign Up to like & getrecommendations! Published in 2020 at "Multimedia Systems"
DOI: 10.1007/s00530-020-00701-5
Abstract: Cyberbullying is disturbing and troubling online misconduct. It appears in various forms and is usually in a textual format in most social networks. Intelligent systems are necessary for automated detection of these incidents. Some of the… read more here.
Keywords: learning; learning models; deep learning; cyberbullying detection ... See more keywords
Production of cellulose carbamate using urea-based deep eutectic solvents
Sign Up to like & getrecommendations! Published in 2017 at "Cellulose"
DOI: 10.1007/s10570-017-1465-9
Abstract: Cellulose carbamate is a bio-based, biodegradable, and environmentally friendly material and thus an interesting alternative to petroleum-based polymers or fibers from cellulose produced using the viscose process for producing fibers from cellulose. In this study… read more here.
Keywords: cellulose carbamate; deep eutectic; urea based; eutectic solvents ... See more keywords