Prediction of the Cause of Fundus-Obscuring Vitreous Hemorrhage Using Machine Learning by Jinsoo Kim, Bo Sook Han, Joo Eun Ha, Min Seon Park, Soonil Kwon, Bum-Joo Cho

“…<b>Results</b>: The ML algorithms achieved mean accuracies of 76.2% for artificial neural network, 74.5% for XG-Boost, 74.4% for LASSO logistic regression, and 68.5% for decision tree. …”
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Carbon estimation of old-growth bald cypress knees using mobile LiDAR by Titilayo T. Tajudeen, Leah C. Rathbun, Leah C. Rathbun, Marcelo Ardón, Helena Mitasova

“…The challenges of algorithmic methods include the time and equipment needed to process dense point clouds. …”
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A Study of the Soil–Wall–Indoor Air Thermal Environment in a Solar Greenhouse by Zhi Zhang, Yu Li, Liqiang Wang, Weiwei Cheng, Zhonghua Liu

“…The temperature change can be classified into four categories according to K-means classification, which was optimized based on the grey wolf algorithm. …”
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Developing an efficient explainable artificial intelligence approach for accurate reverse osmosis desalination plant performance prediction: application of SHAP analysis by Meysam Alizamir, Mo Wang, Rana Muhammad Adnan Ikram, Sungwon Kim, Kaywan Othman Ahmed, Salim Heddam

“…These indicators were utilized to provide a robust means of gauging the precision of the model's forecasts. …”
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Observación y cuantificación de defectos en soldaduras a través del procesamiento digital de imágenes termográficas//Defects in weld observation and quantification through digital... by Eriel Pérez-Zapico, Alejandro Duffus‐Scott, Carlos René Gómez‐Pérez, Freddy Santo‐Castillo

“…The method was confronted by means technique of x-ray inspection, appreciating an inferior error to 3,4%. …”
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Computed tomography-derived quantitative imaging biomarkers enable the prediction of disease manifestations and survival in patients with systemic sclerosis by Gabriela Riemekasten, Felix Nensa, Hanna Grasshoff, René Hosch, Malte Maria Sieren, Lennart Berkel, Jörg Barkhausen, Roman Kloeckner, Franz Wegner

“…An artificial intelligence-based 3D body composition analysis (BCA) algorithm assessed muscle volume, different adipose tissue compartments, and bone mineral density. …”
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Automated classification of oral potentially malignant disorders and oral squamous cell carcinoma using a convolutional neural network framework: a cross-sectional studyResearch in... by Cristina Saldivia-Siracusa, Eduardo Santos Carlos de Souza, Arnaldo Vitor Barros da Silva, Anna Luíza Damaceno Araújo, Caíque Mariano Pedroso, Tarcília Aparecida da Silva, Maria Sissa Pereira Sant'Ana, Felipe Paiva Fonseca, Hélder Antônio Rebelo Pontes, Marcos G. Quiles, Marcio Ajudarte Lopes, Pablo Agustin Vargas, Syed Ali Khurram, Alexander T. Pearson, Mark W. Lingen, Luiz Paulo Kowalski, Keith D. Hunter, André Carlos Ponce de Leon Ferreira de Carvalho, Alan Roger Santos-Silva

“…Transfer learning strategies enhanced performance for both algorithms, and the greatest model achieved mean accuracy, precision, recall, F1-score and AUROC of 0.799, 0.837, 0.756, 0.794 and 0.863 during internal testing, respectively. …”
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Machine learning driven design and optimization of a compact dual Port CPW fed UWB MIMO antenna for wireless communication by Jayant Kumar Rai, Swati Yadav, Ajay Kumar Dwivedi, Vivek Singh, Pinku Ranjan, Anand Sharma, Somesh Kumar, Stuti Pandey

“…The DT ML algorithms provide a higher accuracy of 99.92% compared to the remaining ML algorithms. …”
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NDVI Prediction with RGB UAV Imagery Utilizing Advanced Machine Learning Regression Models by I. Aydin, U. G. Sefercik

“…In the literature, RGB camera-based NDVI prediction studies involving machine learning and deep learning algorithms have focused on the correlation of the results with the reference data (R²) or the model accuracy of the algorithms used. …”
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Development and Validation of a Clinical Risk Model for Predicting Malignancy in Patients with Thyroid Nodules by Shiva Borzouei, Ali Safdari, Erfan Ayubi

“…Generally, there was no difference among the six ML algorithms in terms of prognostic performance; however, the prognostic parameters of GLM and LDA algorithms were higher than the others. …”
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A genetic association study of serum acute-phase C-reactive protein levels in rheumatoid arthritis: implications for clinical interpretation. by Benjamin Rhodes, Marilyn E Merriman, Andrew Harrison, Michael J Nissen, Malcolm Smith, Lisa Stamp, Sophia Steer, Tony R Merriman, Timothy J Vyse

“…CRP is increasingly being incorporated into clinical algorithms to compare disease activity between patients and to predict future clinical events: our findings impact on the use of these algorithms. …”
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Machine-learning detection of stress severity expressed on a continuous scale using acoustic, verbal, visual, and physiological data: lessons learned by Marketa Ciharova, Khadicha Amarti, Ward van Breda, Ward van Breda, Martin J. Gevonden, Sina Ghassemi, Annet Kleiboer, Christiaan H. Vinkers, Christiaan H. Vinkers, Christiaan H. Vinkers, Christiaan H. Vinkers, Milou S. C. Sep, Milou S. C. Sep, Milou S. C. Sep, Milou S. C. Sep, Sophia Trofimova, Alexander C. Cooper, Xianhua Peng, Xianhua Peng, Mieke Schulte, Mieke Schulte, Eirini Karyotaki, Eirini Karyotaki, Eirini Karyotaki, Pim Cuijpers, Pim Cuijpers, Pim Cuijpers, Heleen Riper, Heleen Riper

“…Stress monitoring may be supported by valid and reliable machine-learning algorithms. However, investigation of algorithms detecting stress severity on a continuous scale is missing due to high demands on data quality for such analyses. …”
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Study of Aerosol Influence on Nighttime Land Surface Temperature Retrieval Based on Two Methods by Caixia Gao, Enyu Zhao, Chuanrong Li, Yonggang Qian, Lingling Ma, Lingli Tang, Xiaoguang Jiang, Hongyuan Huo

“…The aim of this study is to evaluate the aerosol influence on LST retrieval with two algorithms (split-window (SW) method and a four-channel based method) using simulated data under typical conditions. …”
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The Spatial Dimming Scheme for the MU-MIMO-OFDM VLC System by Zhen Feng, Caili Guo, Zabih Ghassemlooy, Yang Yang

“…Transmit antenna selection algorithms are designed for the optimum working light emitting diodes (LEDs) subset at each dimming level. …”
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UAVs’ Flight Dynamics Is All You Need for Wind Speed and Direction Measurement in Air by Sihong Zhu, Tonghui Zhao, Huanji Zhang, Yichao Chen, Dongxu Yang, Yi Liu, Junji Cao

“…The proposed method leverages data from sensors onboard UAV platforms, combined with advanced ML algorithms trained on ground-truth measurements obtained through high-resolution LiDAR systems. …”
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Simulation of extreme flood events for risk assessment for flood control of a reservoir-lake-river system under spatially dependent uncertainties by Huili Wang, Bin Xu, Jianyun Zhang, Guoqing Wang, Ping-an Zhong, Xinman Qin, Xuesong Yang, Ran Mo, Jinshu Li, William W.-G. Yeh

“…Scenario trees are constructed using the Neural Gas Algorithm to generate the representative extreme flood scenarios. …”
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Rehabilitation for Chronic Constipation: Integrative Approaches to Diagnosis and Treatment by Luana Alexandrescu, Ionut Eduard Iordache, Alina Mihaela Stanigut, Laura Maria Condur, Doina Ecaterina Tofolean, Razvan Catalin Popescu, Andreea Nelson Twakor, Eugen Dumitru, Andrei Dumitru, Cristina Tocia, Alexandra Herlo, Ionut Tiberiu Tofolean

“…<b>Conclusions:</b> Constipation management is a new topic that was introduced over a decade ago and the purpose of this study is to shed some light onto the practice, problems and modern day techniques that can be used to treat constipation in patients, primarily through behavioural, conservative, medical, and surgical means. Additionally, this particular management is to be used in conjunction with an algorithm designed to enhance and support clinical practice.…”
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True Leaf Area Index Retrieval Using Terrestrial LiDAR for Broadleaf Trees via Novel Multiinclined-Planes Method by Yuyang Guo, Shihua Li, Hao Tang, Ze He

“…However, results of current TLS-based LAIt retrieval algorithms are highly sensitive to physical parameters such as voxel configuration and gap size. …”
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Multi-Criteria Assessment of Flood Risk on Railroads Using a Machine Learning Approach: A Case Study of Railroads in Minas Gerais by Fernanda Oliveira de Sousa, Victor Andre Ariza Flores, Christhian Santana Cunha, Sandra Oda, Hostilio Xavier Ratton Neto

“…This case study uses a combination of the multi-criteria analysis approach and hydrological studies that use machine learning algorithms to simulate new rainfall events in order to estimate the risk of flooding on railroads. …”
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A hybrid mutational Northern Goshawk and elite opposition learning artificial rabbits optimizer for PEMFC parameter estimation by Pradeep Jangir, Absalom E. Ezugwu, Kashif Saleem, Arpita, Sunilkumar P. Agrawal, Sundaram B. Pandya, Anil Parmar, G. Gulothungan, Laith Abualigah

“…Other optimization algorithms including ARO, TLBO, DE and SSA are used for comparative analysis purposes. …”
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