Results 101 to 110 of about 346,286 (280)
Advanced Intelligent Discovery, EarlyView.This work introduces a novel framework for identifying non‐small cell lung cancer biomarkers from hundreds of volatile organic compounds in breath, analyzed via gas chromatography‐mass spectrometry. This method integrates generative data augmentation and multi‐view feature selection, providing a stable and accurate solution for biomarker discovery in ...
Guancheng Ren +10 more
wiley +1 more source
Mining learning preferences in web-based instruction: Holists vs. Serialists [PDF]
, 2011 Web-based instruction programs are used by learners with diverse knowledge, skills and needs. These differences determine their preferences for the design of Web-based instruction programs and ultimately influence learners' success in using them ...
Chen, SY, Clewley, N, Liu, X
core
Advanced Experiment Design Strategies for Drug Development
Advanced Intelligent Discovery, EarlyView.Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang +3 more
wiley +1 more source
A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation
Advanced Intelligent Discovery, EarlyView.This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley +1 more source
Jurnal Teknoif Teknik Informatika Institut Teknologi Padang, 2014 Dalam beberapa tahun terakhir, penggunaan data mining di dunia pendidikan yang dikenal sebagai educational data mining (EDM) semakin berkembang. Namun sebagian besar penggunaan itu dilakukan pada data yang berasal dari pendidikan berbasis web, komputer ...
Indri Rahmayuni
doaj +1 more source
Retracted: Educational Data Mining by Optimally Fusing Shallow and Deep Features. [PDF]
Appl Bionics Biomech, 2023 And Biomechanics AB.
europepmc +1 more source
Enriching Education through Data Mining [PDF]
, 2011 Education is acknowledged to be the primary vehicle for improving the economic well-being of people [1,6]. Textbooks have a direct bearing on the quality of education imparted to the students as they are the primary conduits for delivering content knowledge [9].
Rakesh Agrawal +3 more
openaire +1 more source
Advanced Intelligent Discovery, EarlyView.This study reveals that sampling strategy (i.e., sampling size and approach) is a foundational prerequisite for building accurate and generalizable AI models in peptide discovery. Reaching a threshold of 7.5% of the total tetrapeptide sequence space was essential to ensure reliable predictions.
Meiru Yan +3 more
wiley +1 more source
Language MOOCs: An expanding field
Technology in Language Teaching & Learning, 2019 MOOCs (Massive Open Online Courses) were first introduced to the wider public in 2008, with the first language MOOCs appearing in 2012. Following the initial hype (The New York Times crowned 2012 the Year of the MOOC), practical experiences and research
Napat Jitpaisarnwattana +2 more
doaj +1 more source
Academic data derived from a university e-government analytic platform: An educational data mining approach. [PDF]
Data Brief, 2023 Chytas K +4 more
europepmc +1 more source