Applying Machine Learning for Integration of Multi-Modal Genomics Data and Imaging Data to Quantify Heterogeneity in Tumour Tissues
Sign Up to like & getrecommendations! Published in 2021 at "Methods in molecular biology"
DOI: 10.1007/978-1-0716-0826-5_10
Abstract: With rapid advances in experimental instruments and protocols, imaging and sequencing data are being generated at an unprecedented rate contributing significantly to the current and coming big biomedical data. Meanwhile, unprecedented advances in computational infrastructure… read more here.
Keywords: imaging data; machine learning; applying machine; integration ... See more keywords
Applying machine learning on sensor data for irrigation recommendations: revealing the agronomist’s tacit knowledge
Sign Up to like & getrecommendations! Published in 2017 at "Precision Agriculture"
DOI: 10.1007/s11119-017-9527-4
Abstract: Jojoba Israel is a world-leading producer of Jojoba products, whose orchards are covered with sensors that collect soil moisture data for monitoring plant needs at real-time. Based on these data, the company’s agronomist defines a… read more here.
Keywords: irrigation recommendations; machine learning; applying machine; irrigation ... See more keywords
Applying machine learning techniques to predict the properties of energetic materials
Sign Up to like & getrecommendations! Published in 2018 at "Scientific Reports"
DOI: 10.1038/s41598-018-27344-x
Abstract: We present a proof of concept that machine learning techniques can be used to predict the properties of CNOHF energetic molecules from their molecular structures. We focus on a small but diverse dataset consisting of… read more here.
Keywords: energetic materials; machine; machine learning; predict properties ... See more keywords
Applying Machine Learning to Identify Autism With Restricted Kinematic Features
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2950030
Abstract: Existing diagnosis of the autism spectrum disorder (ASD) heavily depends on the informant’s evaluation of the patient’s behavior, which is both time consuming and labor demanding. In order to develop a rapid diagnostic tool with… read more here.
Keywords: applying machine; autism; kinematic features; machine learning ... See more keywords
Predicting Mohs surgery complexity by applying machine learning to patient demographics and tumor characteristics
Sign Up to like & getrecommendations! Published in 2022 at "Experimental Dermatology"
DOI: 10.1111/exd.14550
Abstract: Mohs micrographic surgery (MMS) is considered the gold standard for difficult‐to‐treat malignant skin tumors, whose incidence is on the rise. Currently, there are no agreed upon classifiers to predict complex MMS procedures. Such classifiers could… read more here.
Keywords: patient demographics; applying machine; mms; machine learning ... See more keywords
Forecasting under applying machine learning and statistical models
Sign Up to like & getrecommendations! Published in 2020 at "Thermal Science"
DOI: 10.2298/tsci20s1131e
Abstract: In a different area of a field of the real life, problem of accurate forecasting has acquired great importance that present the interesting serve which led to the best ways to achieve a goal. So,… read more here.
Keywords: machine learning; applying machine; learning statistical; models forecasting ... See more keywords
The Efficiency of Social Network Services Management in Organizations. An In-Depth Analysis Applying Machine Learning Algorithms and Multiple Linear Regressions
Sign Up to like & getrecommendations! Published in 2020 at "Applied Sciences"
DOI: 10.3390/app10155167
Abstract: The objective of this work is to detect the variables that allow organizations to manage their social network services efficiently. The study, applying machine learning algorithms and multiple linear regressions, reveals which aspects of published… read more here.
Keywords: machine learning; social network; applying machine; network services ... See more keywords
Applying Machine Learning to Nanoindentation Data of (Nano-) Enhanced Composites
Sign Up to like & getrecommendations! Published in 2019 at "Fibers"
DOI: 10.3390/fib8010003
Abstract: Carbon fiber reinforced polymers (CFRPs) are continuously gaining attention in aerospace and space applications, and especially their multi-scale reinforcement with nanoadditives. Carbon nanotubes (CNTs), graphene, carbon nanofibers (CNFs), and their functionalized forms are often incorporated… read more here.
Keywords: machine; machine learning; applying machine; learning nanoindentation ... See more keywords
Applying Machine Learning to Determine 25(OH)D Threshold Levels Using Data from the AMATERASU Vitamin D Supplementation Trial in Patients with Digestive Tract Cancer
Sign Up to like & getrecommendations! Published in 2022 at "Nutrients"
DOI: 10.3390/nu14091689
Abstract: Some controversy remains on thresholds for deficiency or sufficiency of serum 25-hydroxyvitamin D (25(OH)D) levels. Moreover, 25(OH)D levels sufficient for bone health might differ from those required for cancer survival. This study aimed to explore… read more here.
Keywords: supplementation; threshold levels; applying machine; machine learning ... See more keywords