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  1. 701
  2. 702

    Prediction and Analysis of Ship Engine Vibration Signals Based on Prompted Language Models by Yunzhou Zhang, Yanghui Tan, Shuai Hao, Hong Zeng, Peisheng Sang, Ya Gao

    Published 2025-06-01
    “…The proposed approach was compared with traditional models, including LSTM, RNN, and SVR, in vibration signal prediction tasks. …”
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    Article
  3. 703
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    Prediction of Metastasis in Paragangliomas and Pheochromocytomas Using Machine Learning Models: Explainability Challenges by Carmen García-Barceló, David Gil, David Tomás, David Bernabeu

    Published 2025-07-01
    “…One of the main issues with paragangliomas and pheochromocytomas is that these tumors have up to a 20% rate of metastatic disease, which cannot be reliably predicted. While machine learning models hold great promise for enhancing predictive accuracy, their often opaque nature limits trust and adoption in critical fields such as healthcare. …”
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  5. 705

    Structural Constraints in Current Stomatal Conductance Models Preclude Accurate Prediction of Evapotranspiration by Pushpendra Raghav, Mukesh Kumar, Yanlan Liu

    Published 2024-08-01
    “…In contrast, a ML approach, wherein the model structure is learned from the data, outperforms traditional models, thus highlighting that there still is significant room for improvement in the structure of traditional models for predicting ET. …”
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  6. 706

    Development and validation of prediction models for diabetic retinopathy in type 2 diabetes patients. by Shadi Naderyan Feˈli, Mohammad Hassan Emamian, Mehdi Yaseri, Hamid Riazi-Esfahani, Hassan Hashemi, Akbar Fotouhi, Kamran Yazdani

    Published 2025-01-01
    “…<h4>Background and objective</h4>Prediction models enable healthcare providers to perform early risk stratification. …”
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    Article
  7. 707

    Solar Irradiance Prediction for Zaria Town Using Different Machine Learning Models by Ibrahim Abdulwahab, Sulaiman Haruna Sulaiman, Umar Musa, Ibrahim Abdullahi Shehu, Abdullahi Kakumi Musa, Ismaila Mahmud, Mohammed Musa, Abdullahi Abubakar, Abdulrahman Olaniyan

    Published 2024-07-01
    “…This is done in order to construct and develop a high-efficiency prediction model that uses actual meteorological data to predict daily solar irradiance for the town of Zaria, Nigeria. …”
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    Article
  8. 708

    A Comprehensive Evaluation of Machine Learning and Deep Learning Models for Churn Prediction by Nabil M. AbdelAziz, Mostafa Bekheet, Ahmad Salah, Nissreen El-Saber, Wafaa T. AbdelMoneim

    Published 2025-06-01
    “…Therefore, this study attempts to analyze the effectiveness of the advanced machine learning and deep learning models for churn prediction in the evaluation of the models’ performance across different sectors. …”
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  9. 709

    Machine learning models to predict onset of dementia: A label learning approach by Vijay S. Nori, Christopher A. Hane, William H. Crown, Rhoda Au, William J. Burke, Darshak M. Sanghavi, Paul Bleicher

    Published 2019-01-01
    “…Abstract Introduction The study objective was to build a machine learning model to predict incident mild cognitive impairment, Alzheimer's Disease, and related dementias from structured data using administrative and electronic health record sources. …”
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    Article
  10. 710

    Prediction of Streamflow of the Anai-Weir Catchment Using Both the SWAT and Mock Models by Mas Mera, Siti Hawa Binti Yusmardi, Junaidi Junaidi

    Published 2023-05-01
    “…This research focuses on predicting the streamflow of the Anai-weir catchment using the SWAT (Soil and Water Assessment Tools) and Mock models. …”
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    Article
  11. 711

    Predictive models for health-related quality of life built on two telemonitoring datasets. by Matea Tashkovska, Stefan Krsteski, Emilija Kizhevska, Jakob Valič, Hristijan Gjoreski, Mitja Luštrek

    Published 2024-01-01
    “…The results showed that using general predictive models intended for previously unseen patients do not work well. …”
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    Development and Comparison of Machine Learning and Deep Learning Models for Speech Audiometry Prediction by Jae sung Shin, Jun Ma, Mao Makara, Nak-Jun Sung, Seong Jun Choi, Sung yeup Kim, Min Hong

    Published 2025-03-01
    “…These findings suggest that machine learning models, particularly gradient boosting and XGBoost, outperform deep learning models in SA prediction. …”
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  14. 714

    Interpretable machine learning models for survival prediction in prostate cancer bone metastases by Hua Zhang, Bingtian Dong, Jialin Han, Lewen Huang

    Published 2025-07-01
    “…However, existing clinical models lack precision. This study seeks to establish machine learning models to improve survival predictions for PCBM patients. …”
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  15. 715

    Predictive models for road traffic sign: Retroreflectivity status, retroreflectivity coefficient, and lifespan by Roxan Saleh, Hasan Fleyeh

    Published 2024-12-01
    “…The results indicate high accuracy in the predictive models, with classification accuracy at 94% and an R2 value of 94% for regression analysis. …”
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    Prediction models used in the progression of chronic kidney disease: A scoping review. by David K E Lim, James H Boyd, Elizabeth Thomas, Aron Chakera, Sawitchaya Tippaya, Ashley Irish, Justin Manuel, Kim Betts, Suzanne Robinson

    Published 2022-01-01
    “…<h4>Objective</h4>To provide a review of prediction models that have been used to measure clinical or pathological progression of chronic kidney disease (CKD).…”
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  19. 719

    Advancements in Predictive Microbiology: Integrating New Technologies for Efficient Food Safety Models by Oluseyi Rotimi Taiwo, Helen Onyeaka, Elijah K. Oladipo, Julius Kola Oloke, Deborah C. Chukwugozie

    Published 2024-01-01
    “…Predictive models are widely used in food microbiology to estimate the growth of microorganisms in food products. …”
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  20. 720