Machine Learning-Based Scrap Steel Price Forecasting for the Northeast Chinese Market by Bingzi Jin, Xiaojie Xu

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Enhancing Pan evaporation predictions: Accuracy and uncertainty in hybrid machine learning models by Khabat Khosravi, Aitazaz A. Farooque, Amir Naghibi, Salim Heddam, Ahmad Sharafati, Javad Hatamiafkoueieh, Soroush Abolfathi

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The performance of a machine learning model in predicting accelerometer-derived walking speed by Aleksej Logacjov, Tonje Pedersen Ludvigsen, Kerstin Bach, Atle Kongsvold, Mats Flaaten, Tom Ivar Lund Nilsen, Paul Jarle Mork

“…The aim of this study was to develop and evaluate the performance of a machine learning classifier in predicting slow (≤4 km/h), moderate (4.1–5.4 km/h), and brisk (≥5.5 km/h) walking speeds in adults based on dual and single accelerometer set-ups. …”
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Toward reliable diabetes prediction: Innovations in data engineering and machine learning applications by Md. Alamin Talukder, Md. Manowarul Islam, Md Ashraf Uddin, Mohsin Kazi, Majdi Khalid, Arnisha Akhter, Mohammad Ali Moni

“…Objective Diabetes is a metabolic disorder that causes the risk of stroke, heart disease, kidney failure, and other long-term complications because diabetes generates excess sugar in the blood. Machine learning (ML) models can aid in diagnosing diabetes at the primary stage. …”
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Solar Irradiance Prediction for Zaria Town Using Different Machine Learning Models by Ibrahim Abdulwahab, Sulaiman Haruna Sulaiman, Umar Musa, Ibrahim Abdullahi Shehu, Abdullahi Kakumi Musa, Ismaila Mahmud, Mohammed Musa, Abdullahi Abubakar, Abdulrahman Olaniyan

Subjects: “…Machine Learning, Renewable Energy, Solar Irradiance, Weather Prediction.…”
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What drives the profitability of banking sectors in the European Union? The machine learning approach by Bernardelli Michał, Korzeb Zbigniew, Niedziółka Paweł

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Evaluation of Price Prediction of Houses in a Real Estate via Machine Learning by A. A. Ibrahim, O. A. Ayilara-Adewale, A. A. Alabi, D. A. Olusesi

Subjects: “…Prediction system; used car; extra tree regression; random forest regression; machine learning…”
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Prediction of Disease Stage by Machine Learning Classification Methods for Covid-19 Patients by Melis Merve Doğançay, özlem Ege Oruç, Melike Şırlancı Tüysüzoğlu, Zeynep Altın

“… Supervised machine learning classificitaion algorithms have been widely used in many fields in recent years. …”
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Key risk factors of generalized anxiety disorder in adolescents: machine learning study by Yonghwan Moon, Hyekyung Woo, Hyekyung Woo

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Whombat: An open‐source audio annotation tool for machine learning assisted bioacoustics by Santiago Martínez Balvanera, Oisin Mac Aodha, Matthew J. Weldy, Holly Pringle, Ella Browning, Kate E. Jones

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Machine Learning and Medical Data: Predicting ICU Mortality and Re-admission Risks by Runia Roy, Ulya Bayram

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A machine learning approach for wind turbine power forecasting for maintenance planning by Hariom Dhungana

Subjects: “…Machine learning…”
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Machine Learning‐Based Emulator for the Physics‐Based Simulation of Auroral Current System by Ryuho Kataoka, Aoi Nakamizo, Shinya Nakano, Shigeru Fujita

Subjects: “…machine learning…”
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Integrating sustainability into cybersecurity: insights from machine learning based topic modeling by Krishnashree Achuthan, Sriram Sankaran, Swapnoneel Roy, Raghu Raman

“…Our unique study investigates the integration of environmental sustainability into cybersecurity practices by identifying six pivotal themes through a textual analysis of related publications via machine learning based topic modeling. These themes highlight the convergence of cybersecurity with sustainable development goals (SDGs), particularly SDGs 7 (Affordable and Clean Energy), 9 (Industry, Innovation, and Infrastructure), and 8 (Decent Work and Economic Growth). …”
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Transforming Cardiac Care: Machine Learning in Heart Condition Prediction Using Phonocardiograms by Sandra D’Souza, Niranjan Reddy S, Saikonda Krishna Tarun, Sohan P, aneesha acharya k

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Self-adaptive physics-informed quantum machine learning for solving differential equations by Abhishek Setty, Rasul Abdusalamov, Felix Motzoi

Subjects: “…quantum machine learning…”
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Statistical Analysis of Public Sentiment on the Ghanaian Government: A Machine Learning Approach by John Andoh, Louis Asiedu, Anani Lotsi, Charlotte Chapman-Wardy

“…Through natural language processing and machine learning techniques, unstructured data forms from these sources can be analyzed using traditional statistical learning. …”
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Identification of biomarkers for knee osteoarthritis through clinical data and machine learning models by Wei Chen, Haotian Zheng, Binglin Ye, Tiefeng Guo, Yude Xu, Zhibin Fu, Xing Ji, Xiping Chai, Shenghua Li, Qiang Deng

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Predicting excellent response to radioiodine in differentiated thyroid cancer using machine learning by Ogün Bülbül, Demet Nak

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Opportunities and Challenges for Clinical Practice in Detecting Depression Using EEG and Machine Learning by Damir Mulc, Jaksa Vukojevic, Eda Kalafatic, Mario Cifrek, Domagoj Vidovic, Alan Jovic

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