In Silico tool for predicting, designing and scanning IL-2 inducing peptides by Naman Kumar Mehta, Anjali Lathwal, Rajesh Kumar, Dilraj Kaur, Gajendra P. S. Raghava

“…Subsequently, we developed artificial intelligence-based models, including machine learning (ML), deep learning (DL), and large language models (LLM), to predict IL-2-inducing peptides. …”
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Improving T2D machine learning-based prediction accuracy with SNPs and younger age by Cynthia AL Hageh, Andreas Henschel, Hao Zhou, Jorge Zubelli, Moni Nader, Stephanie Chacar, Nantia Iakovidou, Haralampos Hatzikirou, Antoine Abchee, Siobhán O’Sullivan, Pierre A. Zalloua

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Prediction of traffic accidents trend with learning methods: a case study for Batman, Turkey by Enes Bakiş, Mehmet Ali Erçetin, Emrullah Acar, İslam Gökalp, Musa Yılmaz

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Prediction Models for Mortality in Patients With Moderate to Severe ARDS Treated in the ICUTake-Home Points by Katrijn Daenen, MD, Sara C.M. Stoof, MD, PhD, Hugo van Willigen, MD, Anders Boyd, PhD, Virgil A.S.H. Dalm, MD, PhD, Diederik A.M.P.J. Gommers, MD, PhD, Eric C.M. van Gorp, MD, PhD, Abraham J. Valkenburg, MD, PhD, Henrik Endeman, MD, PhD, Jilske A. Huijben, MD, PhD

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Assessing Coincidence of Satellite Acquisitions and Flood Events to Predict Suitability for Flood Map Synthesis by Lyle Prince, Riley C. Hales, Kel N. Markert, E. James Nelson, Gustavious P. Williams, Daniel P. Ames, Hyongki Lee, Amirhossein Rostami

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Building a machine learning-based risk prediction model for second-trimester miscarriage by Sangsang Qi, Shi Zheng, Mengdan Lu, Aner Chen, Yanbo Chen, Xianhu Fu

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Analysis and Prediction of Spring-Back in Cylindrical Helical Springs Using Analytical and Numerical Models by Nicola Zani, Luigi Solazzi

“…This research investigates the spring-back phenomenon, which affects the final diameter of helical springs post-manufacture, using analytical, experimental and numerical methods. An analytical model, derived from the mechanical bending process, was proposed to predict spring-back, and its accuracy was validated against experimental data. …”
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Stacked ensemble model for NBA game outcome prediction analysis by Guangsen He, Hyun Soo Choi

“…The best-performing models were selected to serve as the base learners in the ensemble architecture. …”
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AI-driven predictive modeling for disease prevention and early detection by Bikash Behera, Azeem Irshad, Imad Rida, Mohammad Shabaz

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An Improved Artificial Neural Network Model for Effective Diabetes Prediction by Muhammad Mazhar Bukhari, Bader Fahad Alkhamees, Saddam Hussain, Abdu Gumaei, Adel Assiri, Syed Sajid Ullah

“…This result confirms the model’s effectiveness and efficiency in predicting diabetes disease from the required data attributes.…”
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A mathematical model to predict the requirement for multiple Z plasties by Ellur Sunderraj

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Sign Language Prediction Model using Convolution Neural Network. by Rebeccah Ndungi, Samuel Karuga

“…The model was trained and tested on various matrices where we achieved an accuracy score of a 99% value when run on epoch of 10, the log loss metric returning a value of 0 meaning that it predicts the actual hand gesture images. …”
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ELDP: Extended Link Duration Prediction Model for Vehicular Networks by Xiufeng Wang, Chunmeng Wang, Gang Cui, Qing Yang, Xuehai Zhang

“…Considering these factors, we propose the extended link duration prediction (ELDP) model which allows a vehicle to accurately estimate how long it will be connected to another vehicle. …”
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Fault-tolerant model predictive control for unmanned surface vehicles by Tahiyatul Asfihani, Ahmad Maulana Syafi'i, Agus Hasan

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A Model of the Smooth Pursuit Eye Movement with Prediction and Learning by Davide Zambrano, Egidio Falotico, Luigi Manfredi, Cecilia Laschi

“…This paper presents a model of smooth pursuit based on prediction and learning. …”
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A Meta-Ensemble Predictive Model For The Risk Of Lung Cancer by Sideeqoh Oluwaseun Olawale-Shosanya, Olayinka Olufunmilayo Olusanya, Adeyemi Omotayo Joseph, Kabir Oluwatobi Idowu, Oyelade Babatunde Eriwa, Adedeji Oladimeji Adebare, Morufat Adebola Usman

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Pathogenic Factors of Bacterial Vaginitis and Construction of Nomogram Prediction Model by Xuqing Chen, Jing Li, Nanxiang Lei, Hui Liang

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A Radiomic Model for Gliomas Grade and Patient Survival Prediction by Ahmad Chaddad, Pingyue Jia, Yan Hu, Yousef Katib, Reem Kateb, Tareef Sahal Daqqaq

“…In this study, we propose a radiomic model for the non-invasive prediction of brain tumor grade and patient survival outcomes. …”
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Diagnostic prediction model for levodopa-induced dyskinesia in Parkinson’s disease by Bruno Lopes SANTOS-LOBATO, Artur F. SCHUMACHER-SCHUH, Carlos R. M. RIEDER, Mara H. HUTZ, Vanderci BORGES, Henrique Ballalai FERRAZ, Ignacio F. MATA, Cyrus P. ZABETIAN, Vitor TUMAS

“…We developed two diagnostic prediction models with reasonable accuracy, but we suggest that the clinical prediction model be used. …”
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An optimized informer model design for electric vehicle SOC prediction by Xin Xie, Feng Huang, Yefeng Long, Youyuan Peng, Wenjuan Zhou

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