Results 131 to 140 of about 2,017,337 (259)

Detecting Dengue in Flight: Leveraging Machine Learning to Analyze Mosquito Flight Patterns for Infection Detection

open access: yesAdvanced Biology, EarlyView.
Dengue infection alters mosquito flight behavior, enabling detection using machine learning classifiers. This study analyzes 3D flight trajectories and evaluates multiple models, showing that longer sequence lengths improve classification performance.
Nouman Javed   +3 more
wiley   +1 more source

Correction: Primer on binary logistic regression

open access: yesFamily Medicine and Community Health, 2022
doaj   +1 more source

Cholesterol in mRNA‐Lipid Nanoparticles can be Replaced with the Synthetic Mycobacterial Monomycoloyl Glycerol Analogue MMG‐1

open access: yesAdvanced Functional Materials, EarlyView.
This study demonstrates that cholesterol in messenger RNA‐lipid nanoparticles (mRNA‐LNPs) can be completely replaced with an immunopotentiating lipid, i.e., a synthetic analogue of the C‐type lectin receptor agonist monomycoloyl glycerol (MMG‐1), without compromising physicochemical properties, in vivo transfection efficiency, and immunogenicity of the
Abhijeet G. Lokras   +19 more
wiley   +1 more source

Improper reporting of multivariable logistic regression

open access: yesIndian Journal of Psychological Medicine, 2014
Rajeev Kumar
doaj   +1 more source

Artificial Intelligence‐Driven Development in Rechargeable Battery Materials: Progress, Challenges, and Future Perspectives

open access: yesAdvanced Functional Materials, EarlyView.
AI is transforming the research paradigm of battery materials and reshaping the entire landscape of battery technology. This comprehensive review summarizes the cutting‐edge applications of AI in the advancement of battery materials, underscores the critical challenges faced in harnessing the full potential of AI, and proposes strategic guidance for ...
Qingyun Hu   +5 more
wiley   +1 more source

Recycling of Thermoplastics with Machine Learning: A Review

open access: yesAdvanced Functional Materials, EarlyView.
This review shows how machine learning is revolutionizing mechanical, chemical, and biological pathways, overcoming traditional challenges and optimizing sorting, efficiency, and quality. It provides a detailed analysis of effective feature engineering strategies and establishes a forward‐looking research agenda for a truly circular thermoplastic ...
Rodrigo Q. Albuquerque   +5 more
wiley   +1 more source

Problems due to Small Samples and Sparse Data in Conditional Logistic Regression Analysis [PDF]

open access: bronze, 2000
Sander Greenland   +2 more
openalex   +1 more source

The Synergy of Artificial Intelligence and 3D Bioprinting: Unlocking New Frontiers in Precision and Tissue Fabrication

open access: yesAdvanced Functional Materials, EarlyView.
Advances in integrating artificial intelligence into 3D bioprinting are systematically reviewed here. Machine learning, computer vision, robotics, natural language processing, and expert systems are examined for their roles in optimizing bioprinting parameters, real‐time monitoring, quality control, and predictive maintenance.
Joao Vitor Silva Robazzi   +10 more
wiley   +1 more source

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