Machine learning and thermodynamic modeling for optimizing hydrogen production via algae-biomass co-gasification by Thanadol Tuntiwongwat, Takashi Yukawa, Thongchai Rohitatisha Srinophakun, Kanit Manatura, Somboon Sukpancharoen, Seyedali Mirjalili

“…Current biomass gasification research lacks integration of advanced algae co-feedstocks with intelligent process optimization. Existing studies rely on either experimental trials or simulation modeling in isolation, missing opportunities for comprehensive optimization through machine learning (ML)-enhanced thermodynamic analysis. …”
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Optimizing in-hospital mortality predictive models in ACS patients: QTc prolongation and machine learning approaches by Hamrish Kumar Rajakumar

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Recent Trends in Proxy Model Development for Well Placement Optimization Employing Machine Learning Techniques by Sameer Salasakar, Sabyasachi Prakash, Ganesh Thakur

“…The data-driven models include statistical- and machine learning (ML)-based approximations of nonlinear problems. …”
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Modelling and optimization of a machine production process: Buffer stock supply implementation and replenishment control by Elbaraka Saad, Mokhlis Salah-eddine, Barra Adil, Fouraiji Hicham

“…Initially, one will present a modelling of the manufacturing system conceptualized as an industrial machine, as well as the replenishment policy, that will be conceived as a control loop tuning the raw material supplies quantities into the production machine following a proposed architecture. …”
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Multi-Class Intrusion Detection in Internet of Vehicles: Optimizing Machine Learning Models on Imbalanced Data by Ágata Palma, Mário Antunes, Jorge Bernardino, Ana Alves

“…Using hyperparameter optimization with Optuna, we achieved significant improvements in detection accuracy and robustness. …”
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Roman urdu hate speech detection using hybrid machine learning models and hyperparameter optimization by Waqar Ashiq, Samra Kanwal, Adnan Rafique, Muhammad Waqas, Tahir Khurshaid, Elizabeth Caro Montero, Alicia Bustamante Alonso, Imran Ashraf

“…The novel hybrid model integrates deep learning (DL) and transformer models for automatic feature extraction, combined with machine learning algorithms (MLAs) for classification. …”
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Establishing Optimal Machine Learning Models for Monitoring Water Quality in Vietnam’s Upper Ma River by Ngo Thanh Son, Nguyen Duc Loc

“… This study aims to establish the optimal regression model for predicting total suspended solids (TSS) and Turbidity based on in situ data and spectral regions of Sentinel-2 images. …”
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Machine Learning for Chinese Corporate Fraud Prediction: Segmented Models Based on Optimal Training Windows by Chang Chuan Goh, Yue Yang, Anthony Bellotti, Xiuping Hua

“…Using the best machine learning model and optimal training window, we build general model and segmented models to compare fraud types and industries based on their respective predictive performance via four evaluation metrics and top features using SHAP. …”
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Unveiling global flood hotspots: Optimized machine learning techniques for enhanced flood susceptibility modeling by Mahdi Panahi, Khabat Khosravi, Fatemeh Rezaie, Zahra Kalantari, Jeong-A. Lee

Subjects: “…Flood modeling…”
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Modeling and optimization of renewable hydrogen systems: A systematic methodological review and machine learning integration by M.D. Mukelabai, E.R. Barbour, R.E. Blanchard

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Machine learning with hyperparameter optimization applied in facies-supported permeability modeling in carbonate oil reservoirs by Watheq J. Al-Mudhafar, Alqassim A. Hasan, Mohammed A. Abbas, David A. Wood

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Detection of Hepatocellular Carcinoma Using Optimized miRNA Combinations and Interpretable Machine Learning Models by Zhengwu Long, Lisheng Zhang

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Intelligent Optimization of OSPF Path Selection Using Machine Learning Models for Adaptive Network Routing by Rebeen Rebwar Hama Amin

“…This study proposes the integration of multiple machine learning (ML) models and techniques to enhance OSPF routing decisions. …”
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A Hybrid Machine Learning and Optimization Model to Minimize the Total Cost of BRT Brake Components by Saeed Najafi-Zangeneh, Naser Shams Gharneh, Ali Arjomandi-Nezhad, Erfan Hassannayebi

“…This study aims to implement a hybrid machine learning and optimization model to minimize the total investment and reliability-related costs in a bus rapid transit (BRT) system. …”
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Optimizing balanced accuracy in medical data threshold models by Benjamin F. Dribus, Jamie Hill, Neil Goldsmith, Daniel Martingano

“…Abstract We present a new approach to the problem of balancing data classes to optimize balanced accuracy in categorical models for which the classes are defined by applying a threshold to a real-valued dependent variable in the dataset. …”
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Navigating energy landscapes for materials discovery: Integrating modeling, simulation, and machine learning by Sajid Mannan, Vaibhav Bihani, N. M. Anoop Krishnan, John C. Mauro

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Data Reconciliation-Based Hierarchical Fusion of Machine Learning Models by Pál Péter Hanzelik, Alex Kummer, János Abonyi

“…To mitigate this balance error, it is recommended to employ an optimal data reconciliation technique with an emphasis on measurement and modeling errors. …”
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A Hybrid Machine Learning Model for Accurate Autism Diagnosis by Durga Prasad Kavadi, Venkata Rami Reddy Chirra, Palacharla Ravi Kumar, Sai Babu Veesam, Sagar Yeruva, Lalitha Kumari Pappala

“…This study presents a Big Data and Machine Learning-based Medical Data Classification (BDML-MDCASD) model aimed at improving the accuracy and efficiency of ASD diagnosis. …”
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Simulating turning cycles on CNC lathe machines by Юрій Володимирович Петраков, Джон Мару Езендука

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Machine Learning Model for Hepatitis C Diagnosis Customized to Each Patient by Leran Chen, Ping Ji, Yongsheng Ma

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