Results 51 to 60 of about 7,921,142 (232)

A Novel Application of Ensemble Methods with Data Resampling Techniques for Drill Bit Selection in the Oil and Gas Industry

Energies, 2021
Selection of the most suitable drill bit type is an important task for drillers when planning for new oil and gas wells. With the advancement of intelligent predictive models, the automated selection of drill bit type is possible using earlier drilled ...
Saurabh Tewari, Umakant Dhar Dwivedi, Susham Biswas   +2 more
doaj   +1 more source

Self-supervision advances morphological profiling by unlocking powerful image representations

Scientific Reports
Cell Painting is an image-based assay that offers valuable insights into drug mechanisms of action and off-target effects. However, traditional feature extraction tools such as CellProfiler are computationally intensive and require frequent parameter ...
Vladislav Kim, Nikolaos Adaloglou, Marc Osterland, Flavio M. Morelli, Marah Halawa, Tim König, David Gnutt, Paula A. Marin Zapata   +7 more
doaj   +1 more source

Study to Determine Levels of Cadmium in Cocoa Crops Applied to Inland Areas of Peru: “The Case of the Campo Verde-Honoria Tournavista Corridor”

Agronomy, 2020
The presence of cadmium (Cd) in cocoa crops is currently a serious problem for farmers and producers in various regions of South America. Because its exports of cocoa and derivatives to European markets are threatened by possible signs of contamination ...
Jimmy Aurelio Rosales-Huamani, Jorge Luis Breña-Ore, Svitlana Sespedes-Varkarsel, Luis Huamanchumo de la Cuba, Luis Centeno-Rojas, Alonso Otiniano-Zavala, Joseps Andrade-Choque, Santiago Valverde-Espinoza, Jose Luis Castillo-Sequera   +8 more
doaj   +1 more source

Objective criteria for explanations of machine learning models

Applied AI Letters, 2021
Objective criteria to evaluate the performance of machine learning (ML) model explanations are a critical ingredient in bringing greater rigor to the field of explainable artificial intelligence.
Chih‐Kuan Yeh, Pradeep Ravikumar
doaj   +1 more source

Monitoring the lactation-related behaviors of sows and their piglets in farrowing crates using deep learning

Frontiers in Animal Science
Pig farming is a major sector of livestock production. The preweaning stage is a critical period in the pig farming process, where lactation-related behaviors between sows and their piglets directly influence the preweaning survivability of the piglets ...
Yu-Jung Tsai, Yi-Che Huang, En-Chung Lin, Sheng-Chieh Lai, Xu-Chu Hong, Jonas Tsai, Cheng-En Chiang, Yan-Fu Kuo   +7 more
doaj   +1 more source

MEMe: An Accurate Maximum Entropy Method for Efficient Approximations in Large-Scale Machine Learning

Entropy, 2019
Efficient approximation lies at the heart of large-scale machine learning problems. In this paper, we propose a novel, robust maximum entropy algorithm, which is capable of dealing with hundreds of moments and allows for computationally efficient ...
Diego Granziol, Binxin Ru, Stefan Zohren, Xiaowen Dong, Michael Osborne, Stephen Roberts   +5 more
doaj   +1 more source

Investigation of an efficient multi-modal convolutional neural network for multiple sclerosis lesion detection

Scientific Reports, 2023
In this study, an automated 2D machine learning approach for fast and precise segmentation of MS lesions from multi-modal magnetic resonance images (mmMRI) is presented.
Florian Raab, Wilhelm Malloni, Simon Wein, Mark W. Greenlee, Elmar W. Lang   +4 more
doaj   +1 more source

A Euclidean transformer for fast and stable machine learned force fields

Nature Communications
Recent years have seen vast progress in the development of machine learned force fields (MLFFs) based on ab-initio reference calculations. Despite achieving low test errors, the reliability of MLFFs in molecular dynamics (MD) simulations is facing ...
J. Thorben Frank, Oliver T. Unke, Klaus-Robert Müller, Stefan Chmiela   +3 more
doaj   +1 more source

Statistical and machine learning methods for spatially resolved transcriptomics data analysis [PDF]

, 2022
Zexian Zeng, Yawei Li, Yiming Li, Yuan Luo   +3 more
openalex   +1 more source

Spatially resolved rainfall streamflow modeling in central Europe [PDF]

Hydrology and Earth System Sciences
Climate change increases the risk of disastrous floods and makes intelligent freshwater management an ever more important issue for society. A central prerequisite is the ability to accurately predict the water level in rivers from a range of predictors,
M. A. Vischer, N. Otero, J. Ma
doaj   +1 more source