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Traveling activities are increasingly being carried out by people in the world. Some tourist attractions are difficult to reach hotels because some tourist attractions are far from the city center, Airbnb is a platform that provides home or apartment ...
Wahyu Hidayat +2 more
doaj +1 more source
Smote algorithm in imbalanced data [PDF]
This article mainly introduces the basic principle of SMOTE algorithm for processing unbalanced data and the speci c implementation method of R language, combined with the characteristics of unbalanced data, uses and improves SMOTE ...
Guo Qiang
core
Binary datasets are considered imbalanced when one of their two classes has less than 40% of the total number of the data instances (i.e., minority class).
Ulukok, Mehtap Kose +3 more
core +1 more source
Multilayered Digital Microfluidic Chip for Cell‐Based Assays
A multilayered digital microfluidic (mDMF) chip architecture is introduced to improve throughput and robustness in cell‐based assays. By multilayering electrode components and dielectric layers on glass, this design significantly reduces actuation voltage, maintains reliability, and enables expansion of the operational area with minimum current leakage.
Mert Ozden +2 more
wiley +1 more source
Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation
We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
wiley +1 more source
A Novel Data Preprocessing Model for Lightweight Sensory IoT Intrusion Detection [PDF]
IoT devices or sensor nodes are essential components of the machine learning (ML) application workflow because they gather abundant information for building models with sensors.
Shahbaz Ahmad Khanday +2 more
doaj +1 more source
Imbalanced class distribution reduces the generalizability of classifiers in EEG-based epilepsy detection. This study examines the impact of the synthetic minority oversampling technique (SMOTE) and its variants on imbalanced electroencephalography (EEG)
Ahmet Gokay Calis, Halit Ergezer
doaj +1 more source

