AIMC Topic: Temperature

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Deep Survival Analysis With Latent Clustering and Contrastive Learning.

IEEE journal of biomedical and health informatics May 6, 2024
Survival analysis is employed to analyze the time before the event of interest occurs, which is broadly applied in many fields. The existence of censored data with incomplete supervision information about survival outcomes is one key challenge in sur...
Sodium Male Heart Rate Neoplasms Survival Analysis Humans Comorbidity Leukocyte Count Diabetes Mellitus Female Deep Learning Respiratory Rate Age Factors Temperature Latent Class Analysis Creatine Blood Pressure Dementia Datasets as Topic Body Temperature Racial Groups
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Time series (2003-15) analysis of selected physicochemical parameters in Indian Ocean: Cumulative impacts prediction on coral bleaching using machine learning.

The Science of the total environment May 4, 2024
Coral bleaching is an important ecological threat worldwide, as the coral ecosystem supports a rich marine biodiversity to survive. Sea surface temperature was considered a major culprit; however, later it was observed that other water parameters lik...
Machine Learning Environmental Monitoring Indian Ocean Seawater Temperature Animals Ecosystem Coral Reefs Anthozoa
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Development of new materials for electrothermal metals using data driven and machine learning.

PloS one Apr 26, 2024
After adopting a combined approach of data-driven methods and machine learning, the prediction of material performance and the optimization of composition design can significantly reduce the development time of materials at a lower cost. In this rese...
Support Vector Machine Titanium Neural Networks, Computer Algorithms Alloys Temperature Machine Learning Metals
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Development of machine learning-based shelf-life prediction models for multiple marine fish species and construction of a real-time prediction platform.

Food chemistry Apr 10, 2024
At least 10 million tons of seafood products are spoiled or damaged during transportation or storage every year worldwide. Monitoring the freshness of seafood in real time has become especially important. In this study, four machine learning algorith...
Temperature Animals Fishes Gas Chromatography-Mass Spectrometry Seafood Food Storage Machine Learning Electronic Nose
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Investigation of direct contact membrane distillation (DCMD) performance using CFD and machine learning approaches.

Chemosphere Apr 9, 2024
Direct Contact Membrane Distillation (DCMD) is emerging as an effective method for water desalination, known for its efficiency and adaptability. This study delves into the performance of DCMD by integrating two powerful analytical tools: Computation...
Porosity Hydrodynamics Water Purification Membranes, Artificial Neural Networks, Computer Distillation Temperature Machine Learning Models, Theoretical
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Integrated AI-driven optimization of Fenton process for the treatment of antibiotic sulfamethoxazole: Insights into mechanistic approach.

Chemosphere Apr 7, 2024
Antibiotics, as a class of environmental pollutants, pose a significant challenge due to their persistent nature and resistance to easy degradation. This study delves into modeling and optimizing conventional Fenton degradation of antibiotic sulfamet...
Hydrogen-Ion Concentration Sulfamethoxazole Hydrogen Peroxide Water Pollutants, Chemical Iron Anti-Bacterial Agents Temperature Neural Networks, Computer Artificial Intelligence
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Predicting maturity and identifying key factors in organic waste composting using machine learning models.

Bioresource technology Apr 6, 2024
The measurement of germination index (GI) in composting is a time-consuming and laborious process. This study employed four machine learning (ML) models, namely Random Forest (RF), Artificial Neural Network (ANN), Support Vector Regression (SVR), and...
Hydrogen-Ion Concentration Composting Organic Chemicals Germination Neural Networks, Computer Machine Learning Temperature Soil
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Enhancing thermal comfort prediction in high-speed trains through machine learning and physiological signals integration.

Journal of thermal biology Mar 27, 2024
Heating, Ventilation, and Air Conditioning (HVAC) systems in high-speed trains (HST) are responsible for consuming approximately 70% of non-operational energy sources, yet they frequently fail to ensure provide adequate thermal comfort for the majori...
Skin Temperature Humans Male Machine Learning Air Conditioning Heart Rate Temperature Galvanic Skin Response Thermosensing
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Machine learning application for predicting key properties of activated carbon produced from lignocellulosic biomass waste with chemical activation.

Bioresource technology Mar 21, 2024
The successful application of gradient boosting regression (GBR) in machine learning to forecast surface area, pore volume, and yield in biomass-derived activated carbon (AC) production underscores its potential for enhancing manufacturing processes....
Biomass Machine Learning Charcoal Temperature
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Optimizing strength of directly recycled aluminum chip-based parts through a hybrid RSM-GA-ANN approach in sustainable hot forging.

PloS one Mar 14, 2024
Direct recycling of aluminum waste is crucial in sustainable manufacturing to mitigate environmental impact and conserve resources. This work was carried out to study the application of hot press forging (HPF) in recycling AA6061 aluminum chip waste,...
Aluminum Neural Networks, Computer Cold Temperature Software Temperature
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