PK-Judge: Enhancing IP Protection of Neural Network Models Using an Asymmetric Approach by Wafaa Kanakri, Brian King

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Prediction of Diabetes in Middle-Aged Adults: A Machine Learning Approach by Gideon Addo, Bismark Amponsah Yeboah, Michael Obuobi, Raphael Doh-Nani, Seidu Mohammed, David Kojo Amakye

Subjects: “…diabetes prediction; diabetes symptoms; machine learning models; middle-aged adults; predictive performance metrics…”
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Predicting Deep Venous Thrombosis Using Artificial Intelligence: A Clinical Data Approach by Aurelian-Dumitrache Anghele, Virginia Marina, Liliana Dragomir, Cosmina Alina Moscu, Mihaela Anghele, Catalin Anghel

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Revolutionizing Pneumonia Diagnosis: AI-Driven Deep Learning Framework for Automated Detection From Chest X-Rays by N. Shilpa, W. Ayeesha Banu, Prakash B. Metre

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Building electrical consumption patterns forecasting based on a novel hybrid deep learning model by Nasser Shahsavari-Pour, Azim Heydari, Farshid Keynia, Afef Fekih, Aylar Shahsavari-Pour

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Biophysical and computational insights from modeling human cortical pyramidal neurons by Sapir Shapira, Ido Aizenbud, Daniela Yoeli, Yoni Leibner, Huibert D. Mansvelder, Christiaan P. J. de Kock, Michael London, Michael London, Idan Segev, Idan Segev

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Hybrid Symbolic Regression and Machine Learning Approaches for Modeling Gas Lift Well Performance by Samuel Nashed, Rouzbeh Moghanloo

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Integrating Gut Microbiome and Metabolomics with Magnetic Resonance Enterography to Advance Bowel Damage Prediction in Crohn’s Disease by Huang L, Meng J, Lin S, Peng Z, Zhang R, Shen X, Zheng W, Zheng Q, Wu L, Wang X, Wang Y, Mao R, Sun C, Li X, Feng ST

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Machine Learning and SHAP-Based Analysis of Deforestation and Forest Degradation Dynamics Along the Iraq–Turkey Border by Milat Hasan Abdullah, Yaseen T. Mustafa

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Real-Time Detection and Localization of Force on a Capacitive Elastomeric Sensor Array Using Image Processing and Machine Learning by Peter Werner Egger, Gidugu Lakshmi Srinivas, Mathias Brandstötter

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Reach Historical Thinking Skills: Developing Learning Models by Moch. Dimas Galuh Mahardika

Subjects: “…historical group research learning models…”
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Developing clinical prognostic models to predict graft survival after renal transplantation: comparison of statistical and machine learning models by Getahun Mulugeta, Temesgen Zewotir, Awoke Seyoum Tegegne, Mahteme Bekele Muleta, Leja Hamza Juhar

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Construction of a poor prognosis prediction and visualization system for intracranial aneurysm endovascular intervention treatment based on an improved machine learning model by Chunyu Lei, Anhui Fu, Bin Li, Shengfu Zhou, Jun Liu, Yu Cao, Bo Zhou

Subjects: “…improve machine learning models…”
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Deciphering Membrane Proteins Through Deep Learning Models by Revealing Their Locale Within the Cell by Mehwish Faiz, Saad Jawaid Khan, Fahad Azim, Nazia Ejaz, Fahad Shamim

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Harnessing machine learning for transmembrane pressure prediction in MBR systems during textile wastewater treatment by Onaira Zahoor, Sher Jamal Khan, Muhammad Usama, Henry J. Tanudjaja, Noreddine Ghaffour, Muhammad Saqib Nawaz

Subjects: “…Machine learning models…”
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A Randomized Controlled Study on the Application of LEARNS Health Education Combined with Intelligent Follow-up Management in Secondary Prevention of Ischemic Stroke and Its Impact... by Chu R, Zhen X, Wang L, Zhang M, Shang M, Wang C, Liu J

Subjects: “…LEARNS model…”
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Opinion paper: artificial intelligence in cardio-oncology: a clinical call to action by Juliana Salas Segura, Esteban Zavaleta, Jeaustin Mora Jiménez, Kevin Cruz Mora

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Comparative Performance of Autoencoders and Traditional Machine Learning Algorithms in Clinical Data Analysis for Predicting Post-Staged GKRS Tumor Dynamics by Simona Ruxandra Volovăț, Tudor Ovidiu Popa, Dragoș Rusu, Lăcrămioara Ochiuz, Decebal Vasincu, Maricel Agop, Călin Gheorghe Buzea, Cristian Constantin Volovăț

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Framework for investigating structure cracking using real engineering data combined with physics constraints by Han Si, Qidi Wang, Xin Ruan, Xingpo Fang

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Multiclass Fault Diagnosis in Power Transformers Using Dissolved Gas Analysis and Grid Search-Optimized Machine Learning by Andrew Adewunmi Adekunle, Issouf Fofana, Patrick Picher, Esperanza Mariela Rodriguez-Celis, Oscar Henry Arroyo-Fernandez, Hugo Simard, Marc-André Lavoie

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