Metaheuristic Algorithms to Determine PID Controller Parameters for Mobile Robots by DINH Quy Long, NGUYEN Tuan Minh, NGUYEN The Dung

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Limitations of XGBoost in Predicting Material Parameters for Complex Constitutive Models by Prates Pedro, Mitreiro Dário, Andrade-Campos António

Subjects: “…parameter identification…”
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Data-driven analysis in the selective oligomerization of long-chain linear alpha olefin on zeolite catalysts: A machine learning-based parameter study by Sung Woo Lee, Marcel Jonathan Hidajat, Seung Hyeok Cha, Gwang-Nam Yun, Dong Won Hwang

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An Approach to Motor Winding Optimization for HEFS Machine-Based Integrated On-Board Charging Systems by Minghao Tong, Yudong Chen, Le Sun

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Multi-Source Satellite Imagery and Machine Learning for Detecting Geological Formations in Cameroon’s Western Highlands by Kacoutchy Jean Ayikpa, Valère-Carin Jofack Sokeng, Abou Bakary Ballo, Pierre Gouton, Koffi Fernand Kouamé

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DEVELOPMENT OF HEALTH INSURANCE CLAIM PREDICTION METHOD BASED ON SUPPORT VECTOR MACHINE AND BAT ALGORITHM by Syaiful Anam, Abdi Negara Guci, Fery Widhiatmoko, Mila Kurniawaty, Komang Agus Arta Wijaya

“…Support Vector Machine (SVM) is one of the superior ML approaches. …”
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Optimizing Dual-Microstructure Parameters in Ball-End Milling Tools: Synergistic Effects and Parameter Combination Analysis by Qinghua Li, Qingyu Guan, Yi Ji, Wenyang Xu, Tiantian Xu

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CONTACTLESS MEASUREMENT OF KEY PARAMETERS OF LIMB VESSELS ON AN OCCLUSAL PLETHYSMOGRAPHY METHOD by V. I. Kuznetsov, S. A. Tarakanov, N. I. Ryzhakov

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A Crow Search Algorithm integrated with Lévy flight and dynamic awareness probability for optimized numerical control machining parameters by Bing Tian

Subjects: “…Numerical control machining…”
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Extracting reproductive parameters from GPS tracking data for a nesting raptor in Europe by Steffen Oppel, Ursin M. Beeli, Martin U. Grüebler, Valentijn S. van Bergen, Martin Kolbe, Thomas Pfeiffer, Patrick Scherler

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LieRHRV system for remote lie detection using heart rate variability parameters by Moran Davoodi, Nitay Aspis, Yael Drori, Ido Weiser-Bitoun, Yael Yaniv

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Optimization of process parameter for green die sinking electrical discharge machining: a novel hybrid decision-making approach by Jagadish, Divya Zindani, Arun Selvam, Ghanshyam G. Tejani, A. Johnson Santhosh

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Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State by Qian Hu, Jessica Irwin, Qi Sun, Christopher Messenger, Lami Suleiman, Ik Siong Heng, John Veitch

“…To bridge this critical gap, we demonstrate a machine learning–based workflow capable of producing source parameter estimation and constraints on equations of state (EOSs) for hours-long BNS signals in seconds with minimal hardware costs. …”
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Enhancing Hybrid Flow Shop Scheduling Problem with a Hybrid Metaheuristic and Machine Learning Approach for Dynamic Parameter Tuning by Ahmed Abdulmunem Hussein

“…To further enhance the performance of this hybrid approach, we employ Proximal Policy Optimization (PPO), which is used for dynamic tuning of key parameters within the hybrid algorithm. The introduction of PPO allows real-time adjustment of key parameters, such as pheromone evaporation rates and local search intensity, to balance exploration and exploitation more effectively. …”
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Design and Testing of Film Picking–Unloading Device of Tillage Residual Film Recycling Machine Based on DEM Parameter Calibration by Weiquan Fang, Xinzhong Wang, Dianlei Han, Israel Enema Ohiemi

“…This study calibrates DEM parameters for the soil-touching components of a tillage residual film recycling machine. …”
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Optimasi Parameter Support Vector Machine Dengan Algoritma Genetika Untuk Analisis Sentimen Pada Media Sosial Instagram by I Putu Dedy Wira Darmawan, Gede Aditra Pradnyana, Ida Bagus Nyoman Pascima

“…The method commonly used to carry out sentiment analysis is classification using machine learning. One of the machine learning that is often used is the Support Vector Machine (SVM). …”
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Enhancing EDM machining of Inconel: integrating Taguchi, ANOVA, and CoCoSo, MABAC, CODAS for parameter and tool optimization by Jana Sai Ram, Jeavudeen Shiek, M. Abdur Rahman

“…Abstract This study investigates the optimization of Electric Discharge Machining (EDM) parameters for Inconel alloy and the effect of various tool geometry viz., circular, square, and hexagonal copper tools on the output responses. …”
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Improving Diagnostic Performance for Head and Neck Tumors with Simple Diffusion Kurtosis Imaging and Machine Learning Bi-Parameter Analysis by Suzuka Yoshida, Masahiro Kuroda, Yoshihide Nakamura, Yuka Fukumura, Yuki Nakamitsu, Wlla E. Al-Hammad, Kazuhiro Kuroda, Yudai Shimizu, Yoshinori Tanabe, Masataka Oita, Irfan Sugianto, Majd Barham, Nouha Tekiki, Nurul N. Kamaruddin, Miki Hisatomi, Yoshinobu Yanagi, Junichi Asaumi

“…The purpose of this study was to evaluate the usefulness of machine learning (ML)-based multi-parameter analysis using the MK and apparent diffusion coefficient (ADC) values—which can be acquired simultaneously through SDI—for the differential diagnosis of benign and malignant head and neck tumors, which is important for determining the treatment strategy, as well as examining the usefulness of filter pre-processing. …”
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Sex estimation with parameters of the facial canal by computed tomography using machine learning algorithms and artificial neural networks by Yusuf Secgin, Seren Kaya, Oğuzhan Harmandaoğlu, Oğuzhan Öztürk, Deniz Senol, Ömer Önbaş, Nihat Yılmaz

“…Bilateral measurements of nine temporal bone parameters were performed in axial, coronal, and sagittal planes. …”
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Predicting soil compaction parameters in expansive soils using advanced machine learning models: a comparative study by Sultan Almuaythir, Muhammad Syamsul Imran Zaini, Rida Hameed Lodhi

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