Results 121 to 130 of about 347,417 (324)

Ambient Backscatter Communication Systems: Capacity and Outage Performance Analysis

IEEE Access, 2018
Ambient backscatter is an emerging green communication technology that exploits the environmental radio frequency (RF) signals to enable passive devices to communicate with each other.
Wenjing Zhao, Gongpu Wang, Rongfei Fan, Li-Sheng Fan, Saman Atapattu   +4 more
doaj   +1 more source

Identification of Exhaled Volatile Organic Compounds Biomarkers for Lung Cancer Under Data‐Limited Conditions Using Data Augmentation and Multi‐View Feature Selection

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, Bohao Liu, Zhiyuan Qu, Xue Jiang, Heng Zhao, Danyao Qu, Ruizhi Ning, Chen Su, Taoping Liu, Guangjian Zhang, Weiwei Wu   +10 more
wiley   +1 more source

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, Anthony Harker, Mohan Edirisinghe, Maryam Parhizkar   +3 more
wiley   +1 more source

Investigating Students' Pre-University Admission Requirements and Their Correlation with Academic Performance for Medical Students: An Educational Data Mining Approach. [PDF]

Brain Sci, 2023
Qahmash A, Ahmad N, Algarni A.
europepmc   +1 more source

Educational Computational Chemistry for In-Service Chemistry Teachers: A Data Mining Approach to E-Learning Environment Redesign [PDF]

, 2023
José Hernández-Ramos, Lizethly Cáceres-Jensen, Jorge Rodríguez   +2 more
openalex   +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

Universal Catalyst Design Framework for Electrochemical Hydrogen Peroxide Synthesis Facilitated by Local Atomic Environment Descriptors

Angewandte Chemie, EarlyView.
A universal catalyst design framework integrating weighted atom‐centered symmetry function (wACSF) descriptors with machine learning accurately predicts adsorption energies for 2e− water oxidation reaction. Microkinetic modeling and experimental validation confirm the framework's universality, establishing a powerful paradigm for rational ...
Zhijian Liu, Yan Liu, Yuqi Zhang, Yeyu Deng, Zhong Zheng, Ruth Knibbe, Tianxiang Gao, Mingzhe Li, Ziye Wang, Bingqian Zhang, Xue Jia, Di Zhang, Heng Liu, Xuqiang Shao, Zhengyang Gao, Li Wei, Hao Li, Weijie Yang   +17 more
wiley   +2 more sources

Predicting student specializations: a Machine Learning Approach based on Academic Performance

Je-LKS: Journal of E-Learning and Knowledge Society
Education is a cornerstone of societal progress, equipping people with essential skills and knowledge. In today’s dynamic global society, personalized learning experiences are crucial. Data-driven methodologies, especially Educational Data Mining (EDM),
Athanasios Angeioplastis, Nikolaos Papaioannou, Alkiviadis Tsimpiris, Angeliki Kamilali, Dimitrios Varsamis   +4 more
doaj   +1 more source

The use of video clickstream data to predict university students' test performance: A comprehensive educational data mining approach. [PDF]

Educ Inf Technol (Dordr), 2023
Yürüm OR, Taşkaya-Temizel T, Yıldırım S.   +2 more
europepmc   +1 more source

Data Mining in Higher Education

Periodicals of Engineering and Natural Sciences (PEN), 2013
Data mining is slowly but surely making its way into the educational field after dominating the business fields.  This paper focuses on the research completed in the area of data mining in the higher education sector: colleges and universities.  We will look at the different implementation of data mining and to what extent was it utilized and benefited
Dina A. Aziz AlHammadi, Mehmet Sabih Aksoy   +1 more
openaire   +2 more sources