A Study of English Informative Teaching Strategies Based on Deep Learning by Yaojun Guo

“…The rapid development of artificial intelligence brings new development opportunities and challenges to English teaching university. …”
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Adaptive grid‐driven probability hypothesis density filter for multi‐target tracking by Jinlong Yang, Jiuliu Tao, Yuan Zhang

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The Comparative Sufficiency of ChatGPT, Google Bard, and Bing AI in Answering Diagnosis, Treatment, and Prognosis Questions About Common Dermatological Diagnoses by Courtney A Chau, Hao Feng, Gabriela Cobos, Joyce Park

“… AbstractOur team explored the utility of unpaid versions of 3 artificial intelligence chatbots in offering patient-facing responses to questions about 5 common dermatological diagnoses, and highlighted the strengths and limitations of different artificial intelligence chatbots, while demonstrating how chatbots presented the most potential in tandem with dermatologists’ diagnosis.…”
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Editorial by Thomas Wilson

“…And, perhaps, before too long, artificial intelligence acting alone.…”
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Time series forecasting techniques applied to hydroelectric generation systems by Julio Barzola-Monteses, Juan Gómez-Romero, Mayken Espinoza-Andaluz, Waldo Fajardo

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Developing a Health Support System to Promote Care for the Elderly by Marcell Szántó, Lehel Dénes-Fazakas, Erick Noboa, Levente Kovács, Döníz Borsos, György Eigner, Éva-H. Dulf

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Prediction of the RFID Identification Rate Based on the Neighborhood Rough Set and Random Forest for Robot Application Scenarios by Hong-Gang Wang, Shan-Shan Wang, Ruo-Yu Pan, Sheng-Li Pang, Xiao-Song Liu, Zhi-Yong Luo, Sheng-Pei Zhou

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MGATAF: multi-channel graph attention network with adaptive fusion for cancer-drug response prediction by Dhekra Saeed, Huanlai Xing, Barakat AlBadani, Li Feng, Raeed Al-Sabri, Monir Abdullah, Amir Rehman

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A Master–Slave Game-Based Strategy for Trading and Allocation of Virtual Power Plants in the Electricity Spot Market by Na Yang, Liuzhu Zhu, Bao Wang, Rong Fu, Ling Qi, Xin Jiang, Chengyang Sun

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MDFGNN-SMMA: prediction of potential small molecule-miRNA associations based on multi-source data fusion and graph neural networks by Jianwei Li, Xukun Zhang, Bing Li, Ziyu Li, Zhenzhen Chen

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Revisiting ‘revisiting supervised methods for effort‐aware cross‐project defect prediction’ by Fuyang Li, Peixin Yang, Jacky Wai Keung, Wenhua Hu, Haoyu Luo, Xiao Yu

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Multi-Scale Feature Fusion Model for Bridge Appearance Defect Detection by Rong Pang, Yan Yang, Aiguo Huang, Yan Liu, Peng Zhang, Guangwu Tang

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Alzheimer’s disease diagnosis by 3D-SEConvNeXt by Zhongyi Hu, Yuhang Wang, Lei Xiao

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ResNet15: Weather Recognition on Traffic Road with Deep Convolutional Neural Network by Jingming Xia, Dawei Xuan, Ling Tan, Luping Xing

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The Potentials and Limitations of Agent-Based Models for Urban Digital Twins: Insights From a Surveillance and Behavioral Nudging Simulation by Sarah Shtaierman, Catarina Fontes, Christoph Lütge

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DS-SwinUNet: Redesigning Skip Connection With Double Scale Attention for Land Cover Semantic Segmentation by Zirui Shen, Wanjie Liu, Sheng Xu

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Classroom Behavior Recognition Using Computer Vision: A Systematic Review by Qingtang Liu, Xinyu Jiang, Ruyi Jiang

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Spontaneous curvature in two-dimensional van der Waals heterostructures by Yuxiang Gao, Fenglin Deng, Ri He, Zhicheng Zhong

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Latent Graph Induction Networks and Dependency Graph Networks for Events Detection by Jing Yang, Hu Gao, Depeng Dang

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Kidney Segmentation with LinkNetB7 by Cihan Akyel

“…In studies of kidney segmentation with artificial intelligence, 3d deep learning models are used in the literature. …”
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