Results 181 to 190 of about 85,695 (269)

Invertebrate animals of the Lake District [PDF]

, 1938
Macan, T.T.
core  

Ensemble Deep Learning–Based Wind Power Forecasting With Self‐Adaptive Osprey Optimization Algorithm

Energy Science &Engineering, EarlyView.
Design of Self‐Adaptive Osprey (SAO) algorithm: The novel SAO algorithm is designed by integrating the exploration capability of the conventional Osprey algorithm by including the self‐adaptiveness for enhancing the convergence rate. Ensemble Deep Learning for wind power forecasting: The wind forecasting is employed using the proposed Ensemble learning
Johncy Bai Johnson, Sivarani Thankamony Saradha Devi, Kumar Chandrasekaran, Sourav Barua   +3 more
wiley   +1 more source

A High-Performance and Interpretable p<i>K</i>_a Prediction Framework Integrating Count-Based Fingerprints and Ensemble Learning. [PDF]

Molecules
Shen H, He Y, Deng J, Li X, Yang C, Ma D, Xia D, Yu H.   +7 more
europepmc   +1 more source

Smart Solar Power Site Selection Through a Hybrid Computational Framework of Neuro‐Fuzzy With Genetic Algorithm Optimization

Energy Science &Engineering, EarlyView.
Solar Power plants at various locations a: Pavagada SPP, Karnataka b: Bhadla SPP, Rajasthan c: West Bengal Solar Park ABSTRACT This paper presents a new neuro‐fuzzy multi‐criteria decision‐making (MCDM) framework designed to optimize the selection of solar power plant (SPP) sites across India.
Rajkumari Malemnganbi Devi, Benjamin A. Shimray, Ingudam Chitrasen Meitei, Khelchandra Thongam, Shuma Adhikari, Anuradha Laishram, Subir Datta, Ahmed Al Mansur, Taha Selim Ustun   +8 more
wiley   +1 more source

Interpretable Tree‐Based Models for Predicting Short‐Term Rockburst Risk Considering Multiple Factors

Energy Science &Engineering, EarlyView.
Interpretable tree‐based models integrate microseismic, geological, and mining indicators to predict short‐term rockburst risk. SHAP analysis reveals the dominant role of energy‐related features and clarifies nonlinear factor interactions, enabling transparent and reliable early‐warning in deep coal mines.
Shuai Chen, Linming Dou, Atao Li, Wu Cai, Lei Zhang   +4 more
wiley   +1 more source

Ultrasound-based deep learning radiomics for the differential diagnosis of benign and malignant subpleural pulmonary lesions. [PDF]

Front Oncol
Wei L, Zeng J, Feng Y, Liao X, Yang H.
europepmc   +1 more source

Exploring the Nexus Between Sustainability Index and Central European Stock Markets Competitiveness: Evidence Through Time–Frequency Analysis and SHAP

Journal of Forecasting, EarlyView.
ABSTRACT Sustainability has become an important factor shaping financial markets and investor behavior. This paper examines the relationship between sustainability indices and Central European stock markets using a time–frequency approach. Wavelet coherence is employed to capture time‐varying co‐movements between sustainability indices and stock market
Zuzana Janková, Dipak Kumar Jana, Michal Páleš, Elena Fleaca, Petr Dostál   +4 more
wiley   +1 more source

Interpretability of an FDA-authorized AI/ML sepsis diagnostic tool improved by SHAP values. [PDF]

JAMIA Open
Watson GL, Staples G, Carver R, Bhargava A, López-Espina C, Schmalz L, Ali F, Antkowiak PS, Azad S, Berghea R, Chawla L, Crisp M, Dagan A, Davila F, Davila H, DeMarco C, Doodlesack A, Espinosa A, Evans NS, Ezekiel C, Friederich A, Gosai F, Halalau A, Iyer K, Kravitz MS, Kurtzman N, Lee JH, Maddens N, Malkani R, Mayer S, Oke V, Palagiri AV, Patel R, Raghavakurup L, Raouf S, Reseland E, Sadaka F, Sarma D, Smith S, Shvilkina T, Sims MD, Singh S, Stenson BA, Syed A, Tafa M, Thomas K, Zhao SD, Zhu R, Bashir R, Reddy B, Shapiro NI.   +50 more
europepmc   +1 more source

Identifying Venous Insufficiency in Head and Neck Reconstruction Flaps Using Machine Learning and Deep Learning Methods

Head &Neck, EarlyView.
ABSTRACT Background Venous insufficiency is a major cause of flap failure in head and neck reconstruction. AI provides a reliable, convenient solution for early detection. Methods Clinical data and postoperative flap photos of head and neck cancer patients (2018–2024) at our center were retrospectively collected, categorized into normal and venous ...
Yurong He, Jugao Fang, Lizhen Hou, Zufei Li, Shizhi He, Yanming Zhao, Qijia Li, Rongjia Li, Xiaoyu Shi, Jiayi Yang, Qi Zhong   +10 more
wiley   +1 more source

Interpretable machine learning for predicting delays in seeking abortion among reproductive-aged women in Ethiopia: A study using EDHS 2016 data. [PDF]

PLOS Digit Health
Alemayehu MA, Yeshiwas AG, Kebede AM, Mekonen H, Yemata GA, Ejigu AG, Ahmed AF, Temesgen A, Bayeh GM, Yenew C, Anteneh RM, Yigzaw ZA, Aragaw FM, Yirdaw G, Tsega SS, Enawgaw AS, Tsega TD, Asmare ZA, Mekonnen BA.   +18 more
europepmc   +1 more source