The field of machine learning has become an increasingly budding area of research as more efficient methods are needed in the quest to handle more complex image detection challenges. To solve the problems of agriculture is more and more important bec...
A corn picker is an agricultural machine used to harvest corn leaving the whole ear intact rather than shelling the kernels off like a conventional combine
We investigate the predictive performance of two novel CNN-DNN machine learning ensemble models in predicting county-level corn yields across the US Corn Belt (12 states). The developed data set is a combination of management, environment, and histor...
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Skin conditions are a global health concern, ranking the fourth highest cause of nonfatal disease burden when measured as years lost due to disability. As diagnosing, or classifying, skin diseases can help determine effective treatment, dermatologist...
For many applications the collection of labeled data is expensive laborious. Exploitation of unlabeled data during training is thus a long pursued objective of machine learning. Self-supervised learning addresses this by positing an auxiliary task (d...
Dec 1, 2018 · This is a conversation from the movie The Game (1997) (starting from about 11:00) starring Michael Douglas. Urban Dictionary suggests a spanking machine is when it is a child's …
Across Europe negative public opinion has and may continue to limit the deployment of renewable energy infrastructure required for the transition to net-zero energy systems. Understanding public sentiment and its spatio-temporal variations is as such...
Is Ito Calculus used by modern quants anymore? Is it a good investment to learn it for someone who wants to become a Quant? If not, what is? Machine learning? Probability and statistics? Measure theor...
In machine learning, the term stochastic parrot is a metaphor, introduced by Emily M. Bender and colleagues in a 2021 paper, that frames large language
Solvers for stochastic differential equations which connect with the scientific machine learning (SciML) ecosystem (⭐ 316)
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Data and codes used for primary analyses in Haines et al. (2019, PLOS ONE) Using computer-vision and machine learning to automate facial coding of positive and negative affect intensity (⭐ 5)
The smooth muscle bundles (SMBs) in the bladder act as contractile elements which enable the bladder to void effectively. In contrast to skeletal muscles, these bundles are not highly aligned, rather they are oriented more heterogeneously throughout...
The project outlines using Bioinformatics, AI and Quantum Machine Learning to find Acetylcholinesterase (AChE) inhibitors as targets in Alzheimer’s disease (AD). (⭐ 20)
In patients with depression, the use of 5-HT reuptake inhibitors can improve the condition. Topological fingerprints, ECFP4, and molecular descriptors were used. Some SERT and small molecules combined prediction models were established by using 5 mac...
This paper presents a machine learning methodology prototype using a large synthetic dataset of job listings to identify trends, predict salaries, and group similar job roles. Employing techniques such as regression, classification, clustering, and n...
whole of the fabric flares out into irregular, rolling folds beyond the gathered stitching. Gathering can be done by hand, with a machine, automatically
A plotter is a machine that produces vector graphics drawings. Plotters draw lines on paper using a pen, or in some applications, use a knife to cut a
Library for training machine learning models with privacy for training data (⭐ 1999)