AIMC Topic: Linear Models
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Prediction of retention data of phenolic compounds by quantitative structure retention relationship models under reverse-phase liquid chromatography.
Journal of chromatography. A
Jul 9, 2024
Quantitative Structure-Retention Relationship models were developed to identify phenolic compounds using a typical LC- system, with both UV and MS detection. A new chromatographic method was developed for the separation of fifty-two standard phenolic...
Predicting the governing factors for the release of colloidal phosphorus using machine learning.
Chemosphere
Jun 27, 2024
Predicting the parameters that influence colloidal phosphorus (CP) release from soils under different land uses is critical for managing the impact on water quality. Traditional modeling approaches, such as linear regression, may fail to represent th...
Driving Cognitive Alertness Detecting Using Evoked Multimodal Physiological Signals Based on Uncertain Self-Supervised Learning.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Jun 13, 2024
Multimodal physiological signals play a pivotal role in drivers' perception of work stress. However, the scarcity of labels and the multitude of modalities render the utilization of physiological signals for driving cognitive alertness detection chal...
Chaotic neural network algorithm with competitive learning integrated with partial Least Square models for the prediction of the toxicity of fragrances in sanitizers and disinfectants.
The Science of the total environment
Jun 5, 2024
This study addresses the need for accurate structural data regarding the toxicity of fragrances in sanitizers and disinfectants. We compare the predictive and descriptive (model stability) potential of multiple linear regression (MLR) and partial lea...
Combined interaction of fungicides binary mixtures: experimental study and machine learning-driven QSAR modeling.
Scientific reports
Jun 3, 2024
Fungicide mixtures are an effective strategy in delaying the development of fungicide resistance. In this research, a fixed ratio ray design method was used to generate fifty binary mixtures of five fungicides with diverse modes of action. The intera...
Growth period determination and color coordinates visual analysis of tomato using hyperspectral imaging technology.
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
May 28, 2024
Growth period determination and color coordinates prediction are essential for comparing postharvest fruit quality. This paper proposes a tomato growth period judgment and color coordinates prediction model based on hyperspectral imaging technology. ...
Temporal prediction of suicidal ideation in an ecological momentary assessment study with recurrent neural networks.
Journal of affective disorders
May 23, 2024
INTRODUCTION: Ecological Momentary Assessment (EMA) holds promise for providing insights into daily life experiences when studying mental health phenomena. However, commonly used mixed-effects linear statistical models do not fully utilize the richne...
Factors influencing the development of artificial intelligence in orthodontics.
Orthodontics & craniofacial research
May 7, 2024
OBJECTIVES: Since developing AI procedures demands significant computing resources and time, the implementation of a careful experimental design is essential. The purpose of this study was to investigate factors influencing the development of AI in o...
Reactivities of acrylamide warheads toward cysteine targets: a QM/ML approach to covalent inhibitor design.
Journal of computer-aided molecular design
May 1, 2024
Covalent inhibition offers many advantages over non-covalent inhibition, but covalent warhead reactivity must be carefully balanced to maintain potency while avoiding unwanted side effects. While warhead reactivities are commonly measured with assays...
Machine learning assisted 5-part tooth segmentation method for CBCT-based dental age estimation in adults.
The Journal of forensic odonto-stomatology
Apr 30, 2024
BACKGROUND: The utilization of segmentation method using volumetric data in adults dental age estimation (DAE) from cone-beam computed tomography (CBCT) was further expanded by using current 5-Part Tooth Segmentation (SG) method. Additionally, superv...
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