Results 111 to 120 of about 7,710 (298)

AInsectID Version 1.1: An Insect Species Identification Software Based on the Transfer Learning of Deep Convolutional Neural Networks

Advanced Intelligent Discovery, EarlyView.
This paper describes the basis for AInsectID Version 1, a GUI‐operable open‐source insect species identification, color processing, and image analysis software. This paper discusses our methods of algorithmic development, coupled to rigorous machine training used to enable high levels of validation accuracy.
Haleema Sadia, Parvez Alam
wiley   +1 more source

A Machine Learning Perspective on the Brønsted–Evans–Polanyi Relation in Water‐Gas Shift Catalysis on MXenes

Advanced Intelligent Discovery, EarlyView.
Machine learning predicts activation energies for key steps in the water‐gas shift reaction on 92 MXenes. Random Forest is identified as the most accurate model. Reaction energy and reactant LogP emerge as key descriptors. The approach provides a predictive framework for catalyst design, grounded in density functional theory data and validated through ...
Kais Iben Nassar, Tiago L. P. Galvão, José D. Gouveia, José R. B. Gomes   +3 more
wiley   +1 more source

Multivariate extensions of the Multilevel Best Linear Unbiased Estimator for ensemble-variational data assimilation

, 2023
Mayeul Destouches, Paul Mycek, Selime Gürol   +2 more
openalex   +2 more sources

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

Best Linear Unbiased Estimate from Privatized Contingency Tables

In differential privacy (DP) mechanisms, it can be beneficial to release "redundant" outputs, in the sense that some quantities can be estimated in multiple ways by combining different combinations of privatized values. Indeed, the DP 2020 Decennial Census products published by the U.S. Census Bureau consist of such redundant noisy counts.
Awan, Jordan, Edwards, Adam, Bartholomew, Paul, Sillers, Andrew   +3 more
openaire   +2 more sources

Imputation of genetic composition for missing pedigree data in Serrasalmidae using morphometric data

Scientia Agricola
This study aimed to impute the genetic makeup of individual fishes of Serrasalmidae family on the basis of body weight and morphometric measurements. Eighty-three juveniles, belonging to the genetic groups Pacu, Pirapitinga, Tambaqui, Tambacu, Tambatinga,
Adriano Carvalho Costa, Marcio Balestre, Hortência Aparecida Botelho, Rilke Tadeu Fonseca de Freitas, Richardson Cesar da Silva Gomes, Sérgio Augusto de Sousa Campos, Fábio Porto Foresti, Diogo Teruo Hashimoto, Diego Galetti Martins, Fernanda Dotti do Prado, Maria Andreia Corrêa Mendonça   +10 more
doaj   +1 more source

Multi‐Risk‐Level Sarcopenia‐Prone Screening via Machine Learning Classification of Sit‐to‐Stand Motion Metrics from Wearable Sensors

Advanced Intelligent Systems, EarlyView.
A machine learning approach utilizes micro inertial measurement units (μIMUs) for noninvasive sarcopenia screening through a sit‐to‐stand test. With 53 older participants wearing IMUs, 510 features are extracted across four motion phases. Five algorithms (support vector machine, K‐nearest neighbors, decision tree, linear discriminant analysis, and ...
Keer Wang, Hongyu Zhang, Clio Yuen Man Cheng, Meng Chen, King Wai Chiu Lai, Calvin Kalun Or, Yong Hu, Arul Lenus Roy Vellaisamy, Cindy Lo Kuen Lam, Ning Xi, Vivian Weiqun Lou, Wen Jung Li   +11 more
wiley   +1 more source

Linear Transformations Preserving Best Linear Unbiased Estimators in a General Gauss-Markoff Model [PDF]

, 1981
Jerzy K. Baksalary, Radosław Kala
openalex   +1 more source

Mainstream Artificial Intelligence Technologies in Contemporary Ophthalmology

Advanced Intelligent Systems, EarlyView.
This review explores the latest artificial intelligence (AI) technologies in ophthalmology, focusing on four key data types: medical imaging, electronic health records, robotic‐assisted surgery, and genomics. It examines the structural features, use cases, clinical goals, and evaluation metrics of various AI algorithms, while also introducing emerging ...
Shiqi Yin, Lei Wang, Shanjun Wu, Jiewei Jiang, Wei Qiang, Yangyang Wang, Shihong Wang, Yi Shao, Wei Chen, Zhongwen Li   +9 more
wiley   +1 more source

A companion to the preclinical common data elements for genomics, transcriptomics, and epigenomics data in rodent epilepsy models. A report of the TASK3‐WG4 omics working group of the ILAE/AES joint translational TASK force

Epilepsia Open, EarlyView., 2022
Abstract The International League Against Epilepsy/American Epilepsy Society (ILAE/AES) Joint Translational Task Force established the TASK3 working groups to create common data elements (CDEs) for various preclinical epilepsy research disciplines. The aim of the CDEs is to improve the standardization of experimental designs across a range of epilepsy ...
Erwin A. van Vliet, Michael S. Hildebrand, James D. Mills, Gary P. Brennan, Tore Eid, Susan A. Masino, Vicky Whittemore, Laura Bindila, Kevin K. Wang, Manisha Patel, Piero Perucca, Christopher A. Reid   +11 more
wiley   +1 more source