Abstract: The dawn of Natural Language Processing in the legal research field has achieved great heights. Legal Judgment Prediction (LJP) is one of the important tasks in legal intelligence that can ...

使用机器学习或深度学习方法进行电力负荷预测处理 变电站的电力负荷预测数据集的应用 33_11 KV 变电站电力负荷预测数据集(8000多数据+电压、电流功率因数、节日、温湿度等) @[toc] 以下文字及代码仅供参考学习使用。 数据集描述： 33_11 KV 变电站电力负荷预测 ...

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...

Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu 610054, China Department of Computer Science, Abdul Wali Khan University Mardan, ...

Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Jiangning District, Nanjing 21166, ...

1 Clinical Laboratory Center of People's Hospital, Xinjiang, Urumuqi, China 2 Department of Anesthesiology and Perioperative Medicine, Fourth Clinical College of Xinxiang Medical College, Xinxiang ...

Physiologically Based Pharmacokinetic Model to Assess the Drug-Drug-Gene Interaction Potential of Belzutifan in Combination With Cyclin-Dependent Kinase 4/6 Inhibitors A total of 14,177 patients were ...

We are excited to share our first big milestone in solving a grand challenge that has hampered the predictive power of computational chemistry, biochemistry, and materials science for decades. By ...

Background: Diabetic retinopathy (DR) screening faces critical challenges in early detection due to its asymptomatic onset and the limitations of conventional prediction models. While existing studies ...

This study proposes a hybrid modeling approach that integrates a Physics Informed Neural Network (PINN) and a long short-term memory (LSTM) network to predict river water temperature in a defined ...