A Novel Energy Consumption Prediction Model Integrating Real-Time Traffic State Recognition and Velocity Prediction of BEVs by Yue Li, Yu Jiang, Jianhua Guo, Dong Xie

“…The widespread adoption of battery electric vehicles (BEVs) has highlighted the critical importance of precise energy consumption prediction models to address the problem of range anxiety among drivers. …”
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Advancements and future outlook of Artificial Intelligence in energy and climate change modeling by Mobolaji Shobanke, Mehul Bhatt, Ekundayo Shittu

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Remote Sensing-Derived Environmental Variables to Estimate Transmission Risk and Predict Malaria Cases in Argentina: A Pre-Certification Study (1986–2005) by Ana C. Cuéllar, Roberto D. Coello-Peralta, Davis Calle-Atariguana, Martha Palacios-Macias, Paul L. Duque, Liliana M. Galindo, Mario O. Zaidenberg, María J. Dantur-Juri

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Energy management of smart buildings during crises and digital twins as an optimisation tool for sustainable urban environment by Konstantinos Chatzikonstantinidis, Nicholas Afxentiou, Effrosyni Giama, Paris A. Fokaides, Agis M. Papadopoulos

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Predicting Water Distribution and Optimizing Irrigation Management in Turfgrass Rootzones Using HYDRUS-2D by Jan Cordel, Ruediger Anlauf, Wolfgang Prämaßing, Gabriele Broll

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Modeling the Efficacy of Phosphine on Eggs of Major Stored-Product Insect Species: Investigating Strains with Varying Susceptibility Levels by Marina Gourgouta, Maria K. Sakka, Evmorfia P. Bataka, M. Carolin Götze, Christos T. Nakas, Christos G. Athanassiou

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IMPROVING AGRICULTURAL YIELDS IN THE DEMOCRATIC REPUBLIC OF CONGO USING MACHINE LEARNING ALGORITHMS by Rodolphe Nsimba Malumba, Mardochee Longo Kayembe, Fiston Chrisnovic Balanganayi Kabutakapua, Bopatriciat Boluma Mangata, Trésor MAZAMBI KILONGO, Rufin Tabiaki Tandele, Emmanuel Ntanyungu Ndizieye, Parfum Bukanga Christian

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COVID-19 risk stratification among older adults: a machine learning approach to identify personal and health-related risk factors by Arezoo Abasi, Seyed Abbas Motevalian, Haleh Ayatollahi

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Applications of Machine Learning Algorithms in Geriatrics by Adrian Stancu, Cosmina-Mihaela Rosca, Emilian Marian Iovanovici

Subjects: “…predictive models…”
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Quantitative Prediction of Protein Content in Corn Kernel Based on Near-Infrared Spectroscopy by Chenlong Fan, Ying Liu, Tao Cui, Mengmeng Qiao, Yang Yu, Weijun Xie, Yuping Huang

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Validating Multicenter Cohort Circular RNA Model for Early Screening and Diagnosis of Gestational Diabetes Mellitus by Shuo Ma, Yaya Chen, Zhexi Gu, Jiwei Wang, Fengfeng Zhao, Yuming Yao, Gulinaizhaer Abudushalamu, Shijie Cai, Xiaobo Fan, Miao Miao, Xun Gao, Chen Zhang, Guoqiu Wu

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Using Machine Learning to Predict Wine Quality and Prices: A Demonstrative Case Using a Large Tabular Database by Diogo Oliveira Moreira, Luis Paulo Reis, Paulo Cortez

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Constructing a prediction model for acute pancreatitis severity based on liquid neural network by Jie Cao, Shike Long, Huan Liu, Fu’an Chen, Shiwei Liang, Haicheng Fang, Ying Liu

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Environmental and Human Health Benefits of Bionematicidal Volatiles in Comparison to Commercial Synthetic Nematicides by Jorge M. S. Faria, Tomás Cavaco

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Does soil type influence the occurrence of fire outbreaks in Cerrado, Brazil? by Gilsonley Lopes dos Santos, Iris Cristiane Magistrali, Renato Sinquini de Souza, Rafael Coll Delgado, Marcos Gervasio Pereira

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Modeling the growth of Bacillus cereus in Napa cabbage (Brassica rapa subsp. pekinensis) across different sea salt concentrations by Eun Bi Jeon, Sung-Hee Park, Shin Young Park

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Composition of the freshwater decapod crustacean communities in an area of mining in Brazilian Amazonia and the variation related to environmental parameters by Katherine Soares Morais, Claudia Antônia Campos Rodrigues de Oliveira, Alexandre de Oliveira Marques, Fúlvio Aurélio de Morais Freire, Lílian Lund Amado, Maria Clara Pinheiro de Souza, Leandro Machado de Carvalho, Gustavo Quevedo Romero, Bianca Bentes

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Machine learning-driven prediction model for cuproptosis-related genes in spinal cord injury: construction and experimental validation by Yimin Zhou, Xin Li, Zixiu Wang, Liqi Ng, Rong He, Chaozong Liu, Gang Liu, Xiao Fan, Xiaohong Mu, Yu Zhou, Yu Zhou

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Sequential or simultaneous-integrated boost in early-stage breast cancer patients: trade-offs between skin toxicity and risk of compromised coverage by Changyou Zhong, Minfeng Huang, Haidong Yu, Jun Yuan, Ruilian Xie, Zhenzhen Lai, Shanzhou Niu, Chunbo Tang

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Analysis of the combined effect of polymorphisms interferon genes OAS1, OAS3, PKR, IFNA17 and IFNG in susceptibility to chronic viral hepatitis C by V. A. Bychkov, N. V. Ryazantseva, V. V. Novitsky

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