Results 51 to 60 of about 10,309 (278)
Large‐Scale Machine Learning to Screen for Small‐Molecule Senolytics
Advanced Intelligent Discovery, EarlyView.A consistent workflow underpins all experiments in this study. A dedicated model‐selection dataset first identifies optimal hyperparameters for each algorithm. Models are then trained and rigorously evaluated on independent sets of molecules using the senolytic ratio SR. Comprehensive hyperparameter exploration across SMILES representations, task types,
Alexis Dougha +2 more
wiley +1 more source
Information Mining from Heterogeneous Data Sources: A Case Study on Drought Predictions
Information, 2017 The objective of this study was to develop information mining methodology for drought modeling and predictions using historical records of climate, satellite, environmental, and oceanic data.
Getachew B. Demisse +6 more
doaj +1 more source
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo +3 more
wiley +1 more source
Soil Systems, 2021 Precise soil moisture prediction is important for water management and logistics of on-farm operations. However, soil moisture is affected by various soil, crop, and meteorological factors, and it is difficult to establish ideal mathematical models for ...
Umesh Acharya +2 more
doaj +1 more source
Humans and platyrrhines share a pattern of articular variance
The Anatomical Record, EarlyView.Abstract Previous work has identified a pattern of articular shape variation in modern human limb joints, in which convex joint surfaces exhibit constrained variance relative to their more variable concave conarticulars. This pattern is notable given that joint morphogenesis is influenced by local biomechanical environments, which vary substantially ...
Haley Horbaly, Liam Zachary
wiley +1 more source
Corporate Social Responsibility and Environmental Management, EarlyView.ABSTRACT Using the full population of letter‐graded organisations in the licensed CDP climate score files from 2016 to 2025 (37,450 firm‐years across 8959 firms), this study examines how CDP‐assessed climate disclosure quality evolves over time.
Alexander Ryota Keeley +3 more
wiley +1 more source
Comparison of parametric and nonparametric methods for modeling height-diameter relationships
iForest - Biogeosciences and Forestry, 2017 This paper focuses on the problem of regionalization of the height-diameter model at the stand level. To this purpose, we selected two different modeling techniques.
Adamec Z, Drápela K
doaj +1 more source
Perbandingan Metode Classification and Regression Trees (CART) dengan Naïve Bayes Classification (NBC) dalam Klasifikasi Status Gizi Balita di Kelurahan Pagesangan Barat [PDF]
, 2020 This study aims to compare the Classification and Regression Trees (CART) and Naïve Bayes Classification (NBC) methods in classifying the nutritional status of toddlers in West Pagesangan by looking at their accuracy and also knowing the variables that ...
Irwansyah, Irwansyah +5 more
core +1 more source
European Journal of Social Psychology, EarlyView.ABSTRACT In the Weapon Identification Task (WIT), participants more often misclassify innocuous objects (e.g., tools) as weapons after seeing a Black compared to a White male face prime. Racially biased object discrimination (discrimination bias) and biased response tendencies (response bias) have been proposed as cognitive mechanisms underlying this ...
Ruben Laukenmann, Edgar Erdfelder
wiley +1 more source
Maximum likelihood regression trees
, 2004 We propose a method of constructing regression trees within the framework of maximum likelihood. It inherits the backward fitting idea of classification and regression trees (CART) but has more rigorous justification.
Su, Xiaogang +2 more
core +2 more sources