The Potential of SHAP and Machine Learning for Personalized Explanations of Influencing Factors in Myopic Treatment for Children by Jun-Wei Chen, Hsin-An Chen, Tzu-Chi Liu, Tzu-En Wu, Chi-Jie Lu

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A Time–Frequency-Based Data-Driven Approach for Structural Damage Identification and Its Application to a Cable-Stayed Bridge Specimen by Naiwei Lu, Yiru Liu, Jian Cui, Xiangyuan Xiao, Yuan Luo, Mohammad Noori

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Happy-Productive worker thesis: The role of work characteristics, gender, and age. by Jaime A Bayona, William F Durán, Jesús Perdomo-Ortiz, Delio I Castañeda, Carlos A Valencia, Pauline Fatien Diochon, Diego F Alvarado

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A Machine Learning‐Based Dissolved Organic Carbon Climatology by Thelma Panaïotis, Jamie Wilson, BB Cael

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Machine learning analysis of pharmaceutical cocrystals solubility parameters in enhancing the drug properties for advanced pharmaceutical manufacturing by Tareq Nafea Alharby, Bader Huwaimel

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Intelligent products pricing in dynamic competition based-on Stackelberg game theory by Muhammad Ridwan Andi Purnomo

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Comparison of Levenberg-Marquardt and Bayesian Regularization Learning Algorithms for Daily Runoff Forecasting by Aslı BOR, Merve OKAN

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CROWD MONITORING AND CONTROLLING SYSTEM FOR HOMELAND SECURITY IMPROVEMENT by Ahmad Abubakar Mustapha, Mohamed Sirajudeen Yoosuf

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Spectral Evolution of Pickup Ions across Interplanetary Shocks in the Outer Heliosphere: Observational Constraints and Transport Simulations by Weining Wang, Jiansen He, Die Duan, Zhongwei Yang, Linghua Wang, Hui Li

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cigFacies: a massive-scale benchmark dataset of seismic facies and its application by H. Gao, X. Wu, X. Sun, M. Hou, M. Hou, H. Gao, G. Wang, H. Sheng

“…</a>, <a href="#bib1.bibx5">2024</a><a href="#bib1.bibx5">a</a></span>), the trained model, and the associated codes (<a href="https://doi.org/10.5281/zenodo.13150879">https://doi.org/10.5281/zenodo.13150879</a>, <span class="cit" id="xref_altparen.2"><a href="#bib1.bibx6">Gao et al.…”
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Primary Habitus in Children in Conflict with the Law by Diana Dewi Sartika, Safira Soraida, Gita Isyanawulan, Yosi Arianti

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Decoding intentions to purchase organic food products in an emerging economy via artificial neural networks by Ashish Ashok Uikey, Zericho R. Marak, Dhoha AlSaleh, Ruturaj Baber

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Assessing Dentists’ knowledge and training needs in smoking cessation and Electronic Nicotine Delivery Systems: a cross-sectional study in Kosovo by Zana Sllamniku Dalipi, Mirlinda Sopi Krasniqi, Donika Bajrami Shabani, Linda Dula

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Evaluation of the Acoustic Noise Inside the Main Steam Line of a BWR/5 Nuclear Reactor by Arturo Ocampo Ramirez, Luis Héctor Hernández Gómez, Alejandro Núñez Carrera, Alejandra Armenta Molina, Dayvis Fernández Valdés, Felipe Escalona Cambray, Marcos Adrián Guzmán Escalona

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Spectral analysis of rotor current of induction motor as indicator of its effectiveness by V. L. Kodkin, A. S. Anikin, A. A. Baldenkov

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Discovery of liquid crystalline polymers with high thermal conductivity using machine learning by Hayato Maeda, Stephen Wu, Rika Marui, Erina Yoshida, Kan Hatakeyama-Sato, Yuta Nabae, Shiori Nakagawa, Meguya Ryu, Ryohei Ishige, Yoh Noguchi, Yoshihiro Hayashi, Masashi Ishii, Isao Kuwajima, Felix Jiang, Xuan Thang Vu, Sven Ingebrandt, Masatoshi Tokita, Junko Morikawa, Ryo Yoshida, Teruaki Hayakawa

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Driving factors of aerosol acidity: a new hierarchical quantitative analysis framework and its application in Changzhou, China by X. Duan, X. Duan, G. Zheng, C. Chen, Q. Zhang, K. He

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Factors Associated with Acceptance of Vaccination Against Human Papillomavirus in eThekwini District of South Africa by Phelele Bhengu, Charles S. Wiysonge, Patrick D. M. C. Katoto, Duduzile Ndwandwe, Sara Cooper, Sebenzile Bhengu, Akhona V. Mazingisa, Theresa Saber, Mandisi Sithole, Darian Smith, Lindiwe G. Tembe, Paul Kuodi, Muki S. Shey

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Retention and characteristics associated with remote questionnaire completion in a general population cohort study: the project baseline health study by Megan K. Carroll, Safa Faheem, Jean Bouteiller, Adrian Hernandez, Kenneth W. Mahaffey, Jessica L. Mega, Neha Pagidipati, Terry Schaack, Svati H. Shah, Sumana Shashidhar, Susan Swope, Donna Williams, R. Scooter Plowman, Edgar P. Simard, Sarah A. Short, Shannon S. Sullivan, Shannon S. Sullivan

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A multimodal MRI-based machine learning framework for classifying cognitive impairment in cerebral small vessel disease by Guihan Lin, Weiyue Chen, Yongkang Geng, Bo Peng, Surui Liu, Minjiang Chen, Chunying Pang, Pengjun Chen, Chenying Lu, Zhihan Yan, Shuiwei Xia, Yakang Dai, Jiansong Ji

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