Music Performers Classification by Using Multifractal Features: A Case Study by Natasa RELJIN, David POKRAJAC

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A two stage grading approach for feature selection and classification of microarray data using Pareto based feature ranking techniques: A case study by Rasmita Dash

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A Comparative Study of Loan Approval Prediction Using Machine Learning Methods by Vahid Sinap

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Comparing supervised classification algorithm–feature combinations for Spartina alterniflora extraction: a case study in Zhanjiang, China by Qiujie Chen, Qiujie Chen, Chunyan Shen, Hong Du, Danling Tang

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Enhancing Sentiment-Driven Recommender Systems With LLM-Based Feature Engineering: A Case Study in Drug Review Analysis by Samuel Matia Kangoni, Obed Tshimanga Tshipata, Pierre Sedi Nzakuna, Vincenzo Paciello, Jean-Gilbert Mbula Mboma, Jean-Robert Makulo, Kyandoghere Kyamakya

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Laparoscopic Suture Gestures Recognition via Machine Learning: A Method for Validation of Kinematic Features Selection by Juan M. Herrera-Lopez, Alvaro Galan-Cuenca, Antonio J. Reina, Isabel Garcia-Morales, Victor F. Munoz

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A Mobile Triaxial Stabilized Ship-Borne Radiometric System for In Situ Measurements: Case Study of Sentinel-3 OLCI Validation in Highly Turbid Waters by Haoran Jiang, Peng Zhang, Hong Guan, Yongchao Zhao

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Enhanced staging of renal cell carcinoma using tumor morphology features: model development and multi-source validation by Enyu Yuan, Yuntian Chen, Lei Ye, Ben He, ChunLei He, Junchao Ma, Ting Yang, Hao Zeng, Ling Yang, Jin Yao, Bin Song

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Methodological Validation of Machine Learning Models for Non-Technical Loss Detection in Electric Power Systems: A Case Study in an Ecuadorian Electricity Distributor by Carlos Arias-Marín, Antonio Barragán-Escandón, Marco Toledo-Orozco, Xavier Serrano-Guerrero

“…To address this, a balanced database of 27,374 records was used, with an equitable division between fraud and non-fraud cases. The features used in the identification and construction of patterns for non-technical losses were crucial, although additional techniques could be applied to determine the most relevant variables. …”
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Development and Validation of a Routine Electronic Health Record-Based Delirium Prediction Model for Surgical Patients Without Dementia: Retrospective Case-Control Study by Emma Holler, Christina Ludema, Zina Ben Miled, Molly Rosenberg, Corey Kalbaugh, Malaz Boustani, Sanjay Mohanty

“…Calibration was assessed using calibration curves. ResultsThe study cohort included 7167 delirium cases and 7167 matched controls. …”
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A Critical Study of Relativism: A Feature of Postmodernism by Ahmad Nadeem, Muhammad Akram Rana

“…This formula is also applicable to religion that is all religions are equally valid. In actual life and experience this is not the case. …”
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Comprehensive evaluation of clinical phenotypes and pathogenic features in late-onset monogenic inflammatory bowel disease: a comparative study with infantile-onset cases by Haoying Liu, Yinxian Shen, Jiaxin Xu, Shangzhan Huang, TingTing Qin, Qi Zhou, Jiazhi Liao, Fang Xiao

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Interpretable Machine Learning Framework for Non-Destructive Concrete Strength Prediction with Physics-Consistent Feature Analysis by Teerapun Saeheaw

“…This study presents a machine learning framework integrating polynomial feature engineering, AdaBoost ensemble regression, and Bayesian optimization to achieve both predictive accuracy and physics-consistent interpretability. …”
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Rapid screening and optimization of CO2 enhanced oil recovery operations in unconventional reservoirs: A case study by Shuqin Wen, Bing Wei, Junyu You, Yujiao He, Qihang Ye, Jun Lu

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A novel remote sensing method for monitoring Large-Scale grassland aboveground Biomass: The case study of grassland key belt in the Tibetan Plateau by Juan Wang, Aiwu Zhang, Jiancong Shi, Xiaoyan Kang, Nianpeng He, Xinwang Gao, Haiyang Pang

“…To address this pressing issue, we propose a novel concept called the “grassland key belt,” which utilizes localized studies to reflect regional dynamics. Using AGB estimation in this key belt as a case study, we analyzed the gradient changes in AGB across different elevations. …”
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Development and Validation of Predictive Models for Differentiating Resectable Stage III Peripheral SCLC from NSCLC Using Radiomic Features and Clinical Parameters by Junjie Zhang MD, Ligang Hao MD, Qiuxu Zhang MD, Lina Zheng MD, Qian Xu PhD, Fengxiao Gao MD

“…Objective Lung cancer is primarily categorized into small cell lung cancer (SCLC) and non-small cell lung cancer (NSCLC), each characterized by distinct therapeutic approaches and prognostic outcomes, particularly in stage III peripheral cases. This study aimed to develop predictive models utilizing clinical and radiomic data to preoperatively differentiate stage III peripheral SCLC from NSCLC. …”
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External Validation of a Risk Prediction Model for Atherosclerotic Cardiovascular Diseases in a Large National Health‐Checkup and Claim Database by Takanori Honda, Yoshihiko Furuta, Akihiro Maezono, Sanmei Chen, Yuki Ishida, Hiroko Furuhashi, Masaya Kumamoto, Emi Oishi, Yasumi Kimura, Daigo Yoshida, Toshiharu Ninomiya

“…Background The Hisayama risk prediction model for atherosclerotic cardiovascular diseases (ASCVDs) has been featured in the latest Japanese preventive guidelines, yet it lacks external validation. …”
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Reinforcing long lead time drought forecasting with a novel hybrid deep learning model: a case study in Iran by Mahnoosh Moghaddasi, Mansour Moradi, Mahdi Mohammadi Ghaleni, Zaher Mundher Yaseen

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Preoperative immune-inflammation index in predicting the diagnosis and adverse pathological features of prostate cancer by Chao-Long Liang, Wei-Da Li, Jian Wang

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Comprehensive study of anaplastic large cell lymphoma: clinicopathological features from Indonesia by Agnes Stephanie Harahap, Ivana Santoso, Stefanny Charles, Nadia Ayu Mulansari, Maria Francisca Ham

“…Poor outcomes were associated with B symptoms and high Eastern Cooperative Oncology Group Performance Status (ECOG-PS) scores. Given that this study was conducted at a single, government-operated tertiary care teaching hospital in Indonesia’s capital, validation through multicenter prospective studies is warranted to further refine diagnostic and therapeutic strategies.…”
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