Artificial Intelligence in Architectural Education: New Learning and Design Approaches by Fatmanur Atalay

Subjects: “…Artificial Intelligence in Architecture; AI tools; Data Analysis; Design Education; Learning Methods; Visual Generation.…”
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Using active learning methodologies in physical chemistry in CLIL contexts by David Recatalá

Subjects: “…Active learning methods…”
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Coalition Game-Based Reinforcement Learning in Underwater Acoustic Networks by Khouloud Gharsalli, Sameh Najeh, Thierry Le Pors, Leila Najjar, Pierre-Jean Bouvet, Hichem Besbes

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A Method for Recognizing Dead Sea Bass Based on Improved YOLOv8n by Lizhen Zhang, Chong Xu, Sai Jiang, Mengxiang Zhu, Di Wu

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Intelligent Evaluation Method for Scoliosis at Home Using Back Photos Captured by Mobile Phones by Yongsheng Li, Xiangwei Peng, Qingyou Mao, Mingjia Ma, Jiaqi Huang, Shuo Zhang, Shaojie Dong, Zhihui Zhou, Yue Lan, Yu Pan, Ruimou Xie, Peiwu Qin, Kehong Yuan

“…The results show that this method has high accuracy and effectiveness in distinguishing the type of spinal curvature and evaluating the degree of deviation, which is higher than other deep learning algorithms.…”
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Research on Slope Stability Based on Bayesian Gaussian Mixture Model and Random Reduction Method by Jingrong He, Tao Deng, Shouxing Peng, Xing Pang, Daochun Wan, Shaojun Zhang, Xiaoqiang Zhang

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Designing a robust method to improve virtual inertia control performance in islanded microgrid by Farhad Amiri

“…The results indicate that the proposed method in the field of virtual inertia control surpasses previous approaches.…”
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Piecewise Linear Labeling Method for Speed-Adaptability Enhancement in Human Gait Phase Estimation by Woolim Hong, Jinwon Lee, Pilwon Hur

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RSPS-SAM: A Remote Sensing Image Panoptic Segmentation Method Based on SAM by Zhuoran Liu, Zizhen Li, Ying Liang, Claudio Persello, Bo Sun, Guangjun He, Lei Ma

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Performance Enhancement of EEG Signatures for Person Authentication Using CNN BiLSTM Method by Ashish Ranjan Mishra, Rakesh Kumar, Rajkumar Saini

“… Despite their vulnerability to competent forgers, signatures are one of the most widely used user verification methods. Recent research has revealed that EEG signals are harder to reproduce and give superior biometric information. …”
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Device Modeling Method for the Entire Process of Energy-Saving Retrofit of a Refrigeration Plant by Xuanru Xu, Lun Zhang, Jun Chen, Qingbin Lin, Junjie Chen

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An Adaptive Spherical Simplex Radial Cubature Information Filter-Based Phase Unwrapping Method by Jia Jinguo, Liu Fang, Huang Qingnan, Xie Xianming

“…An adaptive spherical simplex radial cubature information filter-based phase unwrapping (ASSRCIFPU) method is introduced. First, the ASSRCIF method with adaptive adjustment of observation noise variance is introduced within the phase unwrapping for interferograms. …”
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PISCFF-LNet: A Method for Autonomous Flight of UAVs Based on Lightweight Road Extraction by Yuanxu Zhu, Tianze Zhang, Aiying Wu, Gang Shi

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A wheat seedling counting method based on two-stage convolutional neural network by Menghan Li, Lijie Zhang, Chunshan Wang, Chunjiang Zhao, Libo Li, Dongxiao Li, Yaxuan Xu

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Research on Cross-Device Bearing Fault Diagnosis Transfer Method Based on NICE-GAN by Jiada Wei, Sijia Wang, Weiyu Wang, Xianming Li, Xiaojun Wang

“…Extensive experimental validation demonstrates that our method achieves diagnostic accuracy approaching that of real experimental data in cross-device fault diagnosis tasks, outperforming existing approaches by a significant margin. …”
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An accessible, timely method for identifying medications for repurposing: hypothesis generating; testing and validation by Maximin Lange, Eoin Gogarty, Meredith Martyn, Philip Braude, Feras Fayez, Nikolaos Koutsouleris, Oliver Howes, Ricardo Twumasi, Ben Carter

“…We present and evaluate a novel, accessible NLP-based method using the Word2Vec algorithm to identify, test, and validate candidate medications for repurposing, demonstrated by seeking treatments for psychotic disorders. …”
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Parking Occupancy Prediction Method Based on Multi Factors and Stacked GRU-LSTM by Chao Zeng, Changxi Ma, Ke Wang, Zihao Cui

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Innovative fast and low-cost method for the detection of living bacteria based on trajectory by Paul Perronno, Julie Claudinon, Carmen Senin, Serap Elçin-Guinot, Lena Wolter, Olga N. Makshakova, Norbert Dumas, Dimitri Klockenbring, Joseph Lam-Weil, Vincent Noblet, Siegfried Steltenkamp, Winfried Römer, Morgan Madec

“…Most conventional detection methods require skilled staff and specific laboratory equipment for sample collection and analysis or are specific to a given pathogen. …”
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A Dynamic Branch Automatic Modulation Recognition Method for Heterogeneous Data-Driven by Yecai Guo, Mengjie Wang, Meiyu Liang

“…To address insufficient feature complementarity mining and limited recognition accuracy in end-to-end deep learning models under complex channel environments, this paper proposes a dynamic branch automatic modulation recognition method driven by heterogeneous data. …”
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Vessel Trajectory Prediction Method Based on the Time Series Data Fusion Model by Xinyun WU, Jiafei CHEN, Caiquan XIONG, Donghua LIU, Xiang WAN, Zexi CHEN

“…However, most deep learning-based methods use a unified approach for modelling AIS data, ignoring the diversity of AIS data and the impact of noise on prediction performance due to environmental factors. …”
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