Sound-Based Unsupervised Fault Diagnosis of Industrial Equipment Considering Environmental Noise by Jeong-Geun Lee, Kwang Sik Kim, Jang Hyun Lee

“…The DANN evaluated interdomain similarity using cosine similarity, enabling the accurate classification of fault states in the target domain. …”
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Impact of antibiotic-loaded bone cement prophylaxis on infection rates after curettage and cementation for bone tumor by Sermsak Sukpanichyingyong, Thanate Poosiripinyo, Krits Salang, Saksin Simsin

“…Background: Infection rates post-surgery differ markedly between routine orthopaedic procedures and bone tumor surgeries, the latter significantly raising morbidity rates. …”
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Long-Term Monitoring of Coastal Water Quality Using Sentinel-2 Satellite Images and Google Earth Engine: The Case Study Izmir and Erdek Bays by O. Y. Altuntas, M. Saygi, I. Colkesen

“…Indices such as the Normalized Difference Chlorophyll Index (NDCI) and the Normalized Difference Aquatic Vegetation Index (NDAVI) were used for a time series analysis to evaluate water quality, showing high values in both study areas during 2020, particularly in summer, when the correlation was strongest. …”
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Exploring nonlinear and interaction effects of urban campus built environments on exercise walking using crowdsourced data by Bo Lu, Bo Lu, Qingyun Liu, Hao Liu, Tianxiang Long, Tianxiang Long

“…By applying the XGBoost algorithm and SHAP (SHapley Additive exPlanations), an explainable machine learning framework was established to evaluate the importance of various factors, explore the nonlinear relationships between variables and walking activity, and analyze the interaction effects among these variables.ResultsThe findings underscore the significant impact of several key factors, including the proportion of sports land, proximity to water bodies, and Normalized Difference Vegetation Index NDVI, alongside the notable influence of six distinct campus area types. …”
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Impacts of Spatial and Temporal Resolution on Remotely Sensed Corn and Soybean Emergence Detection by Feng Gao, Martha Anderson, Rasmus Houborg

“…Planet Fusion captured all crop emergences and outperformed other datasets, with a mean difference (MD) of <1 day, a mean absolute difference (MAD) of <5 days, and a root mean square error (RMSE) of <6 days compared to the ground-observed emergence dates. …”
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Pressure-Related Discrepancies in Landsat 8 Level 2 Collection 2 Surface Reflectance Products and Their Correction by Santosh Adhikari, Larry Leigh, Dinithi Siriwardana Pathiranage

“…This study investigates the root cause of these differences by analyzing the assumptions made in the Land Surface Reflectance Code (LaSRC), the atmospheric correction algorithm of Landsat 8, as currently implemented at United States Geological Survey Earth Resources Observation and Science (USGS EROS), and proposes a correction method. …”
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Comprehensive benchmarking of genome editing quantification methods for plant applications by Zheng Gong, Yan Zhang, Di Xia, Sohye Yoon, Peter Alexander Crisp, José Ramón Botella

“…We measured genome editing efficiency from 20 transiently expressed Cas9 targets using different techniques, including targeted amplicon sequencing (AmpSeq), PCR-restriction fragment length polymorphism (RFLP) assays, T7 endonuclease 1 (T7E1) assays, Sanger sequencing of amplicon products (deconvoluted and analyzed using three algorithms), PCR-capillary electrophoresis/InDel detection by amplicon analysis (PCR-CE/IDAA), and droplet digital PCR (ddPCR). …”
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Mutational landscape of SARS-CoV-2 genome in Turkey and impact of mutations on spike protein structure. by Ozden Hatirnaz Ng, Sezer Akyoney, Ilayda Sahin, Huseyin Okan Soykam, Gunseli Bayram Akcapinar, Ozkan Ozdemir, Derya Dilek Kancagi, Gozde Sir Karakus, Bulut Yurtsever, Ayse Sesin Kocagoz, Ercument Ovali, Ugur Ozbek

“…We compared these findings to USA, Europe, and Asia data as well. We have also evaluated the effects of spike protein variations, detected in a group of genome sequences of 13 patients who applied to our clinic, by using 3D modeling algorithms. …”
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Development of Recurrent Neural Networks for Thermal/Electrical Analysis of Non-Residential Buildings Based on Energy Consumptions Data by Elisa Belloni, Flavia Forconi, Gabriele Maria Lozito, Martina Palermo, Michele Quercio, Francesco Riganti Fulginei

“…Uncertainty analyses are carried out to evaluate the behavior effectiveness of the artificial neural networks (ANNs) in different weather conditions, and the root mean square error (RMSE) is calculated in terms of mean air temperatures. …”
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Predicting reticuloruminal pH and subacute ruminal acidosis of individual cows using machine learning and Fourier-transform infrared spectroscopy milk analysis by T. Touil, F. Huot, S. Claveau, A. Bunel, D. Warner, D.E. Santschi, R. Gervais, É.R. Paquet

“…A total of 36 different models were developed and evaluated for both rpH and SARA prediction. …”
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Gender and racial bias issues in a commercial "tone of voice" analysis system. by Nicole R Holliday, Paul E Reed

“…This study evaluates how Halo performs for American English speakers of different races and genders. …”
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Optimising test intervals for individuals with type 2 diabetes: A machine learning approach. by Sasja Maria Pedersen, Nicolai Damslund, Trine Kjær, Kim Rose Olsen

“…Model performance is evaluated using ROC-AUC, and optimal intervals are determined based on a "time-to-next-positive-test" concept, with different durations associated with specific intervals.…”
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Diagnostic Performance of Artificial Intelligence–Based Methods for Tuberculosis Detection: Systematic Review by Seng Hansun, Ahmadreza Argha, Ivan Bakhshayeshi, Arya Wicaksana, Hamid Alinejad-Rokny, Greg J Fox, Siaw-Teng Liaw, Branko G Celler, Guy B Marks

“…ObjectiveWe aimed to provide a comprehensive evaluation of AI-based algorithms for TB detection across various data modalities. …”
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Energy Efficient Heat Exchange Network for the Oil Vacuum Distillation Facility by Ved V.E., Ilchenko M.V., Myronov A.N.

“…The task is achieved by applying design algorithms of a pinch analysis. The most important result of the work is the proven possibility of reducing the external heat carriers’ energy by 1.87 MW and increasing the thermal energy recovery inside the system to 11.26 MW. …”
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Addressing data imbalance in collision risk prediction with active generative oversampling by Li Li, Xiaoliang Zhang

“…Specifically, our method’s results are above 0.92 on all evaluation indicators, with an average improvement of 23–28.3% compared to the worst-performing ENN method. …”
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Sentiment Analysis of User Reviews of the AdaKami Online Loan App from the App Store Using SVM and Naive Bayes by Wava Lativa Azzahra, Jamaludin Indra, Rahmat Rahmat, Sutan Faisal

“…The classification model was built using two machine learning algorithms, namely Support Vector Machine (SVM) and Naïve Bayes (NB). …”
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Entropy-Driven Global Best Selection in Particle Swarm Optimization for Many-Objective Software Package Restructuring by Amarjeet Prajapati, Anshu Parashar, null Sunita, Alok Mishra

“…It has been observed that these kinds of many-objective optimization problems (MaOPs) often pose several performance challenges to the traditional multi-objective optimization algorithms. To address the performance issue caused by the different types of MaOPs, recently, a variety of many-objective particle swarm optimization (MaOPSO) has been proposed. …”
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Image Matting using Superpixels Centroid by Anam Akbar, Aniqa Shirazi, Mohammad Sarim Farooqui

“…Results are comparable to the different matting algorithms applied independently on images of dataset. …”
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Integrated network toxicology and bioinformatics reveal PFAS-driven prognostic biomarkers and molecular mechanisms in breast cancer: insights from transcriptome analysis and molecu... by Yingqiang Fu, Yiyang Liu, Ziqi Sui

“…Enrichment analysis, network construction, and survival analysis were performed to elucidate the biological mechanisms and prognostic value. The CIBERSORT algorithm assessed immune cell infiltration, and molecular docking evaluated interactions between PFAS compounds and key genes. …”
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Bioinformatics Analysis of Oxidative Stress-Related Genes and Immune Infiltration Patterns in Vitiligo by Yang M, Wang H, Zhang R

“…Immune cell infiltration between vitiligo and normal control groups was assessed using the CIBERSORT algorithm. Additionally, two machine learning algorithms were employed to identify hub genes, perform enrichment analyses, and evaluate their correlation with immune infiltration.Results: A total of 415 Oxidative Stress-DEGs were identified in vitiligo, including 317 up-regulated and 98 down-regulated genes. …”
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