Mechanistic Impacts of a Scale‐Aware Convection Scheme on Typhoon Intensity: Diagnostics From Minimum Sea‐Level Pressure by Yanjie Liu, Xiaocong Wang, Yimin Liu, Hao Miao, Xuesong Zhu, Wei Huang, Yaxin Zhao, Kai Wang

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Insights to the taxonomy and phylogeny of the genus Ptilagrostis worldwide (Poaceae, Stipeae) with a key to species identification, checklist and outlines for further studies by Marta Krzempek, Ewelina Klichowska, Marcin Nobis

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Hierarchical cross-modal attention and dual audio pathways for enhanced multimodal sentiment analysis by D. Vamsidhar, Parth Desai, Aniket K. Shahade, Shruti Patil, Priyanka V. Deshmukh

“…Traditional sentiment analysis approaches are mainly based on text data, which can be inefficient as valuable sentiment information may reside within images and audio. Aiming at solving this issue, the model provides a unified framework that integrates three modalities (text, image, audio) based on BERT text encoder, ResNet50 visual features extractor and hybrid CNN-Wav2Vec2.0 pipeline for audio representation. …”
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ECONOMIC RESTRUCTURING AND MIGRATION ASSIMILATION IN THE EU: THE ROLE OF DIVERSE ECONOMIC MODELS by Olha Yeremenko, Oleksandr Hrytsenko

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A typical scenario generation method for renewable energy power systems based on time-sequenced operational simulations by PENG Zhuyi, SONG Shan, XU Sixuan, GU Kanghui, GE Yi, WANG Quanquan, SUN Wentao

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LSTA-CNN: A Lightweight Spatiotemporal Attention-Based Convolutional Neural Network for ASD Diagnosis Using EEG by Jing Li, Xiangwei Jia, Xinghan Chen, Gongfa Li, Gaoxiang Ouyang

“…Compared with some representative deep learning models, e.g., Shallow ConvNet, EEGNet, etc., our proposed LSTA-CNN achieves the best classification performance on our self-collected EEG dataset. …”
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Colletotrichum infections during flower development and fruit ripening in four olive cultivars by Victoria MOREIRA, María Julia CARBONE, Pedro MONDINO, Sandra ALANIZ

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IDNet: A Diffusion Model-Enhanced Framework for Accurate Cranio-Maxillofacial Bone Defect Repair by Xueqin Ji, Wensheng Wang, Xiaobiao Zhang, Xinrong Chen

“…Quantitative evaluation revealed that IDNet outperformed mainstream methods, including UNETR and 3D U-Net, across key metrics: Dice Similarity Coefficient (DSC), True Positive Rate (RECALL), and 95th percentile Hausdorff Distance (HD95). …”
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Competência em informação e inteligência artificial by Luciana Laura Gusmão Cordeiro, Alessandra Stefane Cândido Elias da Trindade

“…Os dados foram examinados com o auxílio de quatro softwares: Microsoft Excel, Ucinet, NetDraw e VOSviewer, possibilitando a elaboração de gráficos, tabelas, rede de coautoria e rede de palavras-chave. …”
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Explainable light-weight deep learning pipeline for improved drought stress identification by Aswini Kumar Patra, Aswini Kumar Patra, Lingaraj Sahoo

“…Sensor-based imaging data serves as a rich source of information for machine learning and deep learning algorithms, facilitating further analysis that aims to identify drought stress. …”
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A Multi-Scale Fusion Deep Learning Approach for Wind Field Retrieval Based on Geostationary Satellite Imagery by Wei Zhang, Yapeng Wu, Kunkun Fan, Xiaojiang Song, Renbo Pang, Boyu Guoan

“…At large scales, MFR incorporates a multi-encoder coordinate U-net model, which incorporates multiple encoders and utilises coordinate information to fuse meso- to large-scale features, enabling accurate and regionally complete wind field retrievals, while reducing the computational resources required. …”
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Prediction of intrinsic multiferroicity and large valley polarization in a layered Janus material by Yulin Feng, Shaoxuan Qi, Yangyang Ren, Meng Liu, Na Liu, Meifeng Liu, Qing Yang, Sheng Meng

“…Notably, the direction of the net magnetic moment can be reversed through ferroelectric polarization switching, enabling nonvolatile control of the magnetism. …”
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Epidemiology of Dysentery, Uganda, 2014-2018 by Maureen Nabatanzi, Benon Kwesiga, Lilian Bulage, Bernard Lubwama, Alex Riolexus Ario, Julie Harris

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Surface runoff estimation in an upper watershed using geo-spatial based soil conservation service-curve number method by C.A. Odiji, O.M. Aderoju, M.C. Ekwe, D.T. Oje, J.O. Imhanfidon

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A Robust Longitudinal Control Strategy of Platoons under Model Uncertainties and Time Delays by Na Chen, Meng Wang, Tom Alkim, Bart van Arem

“…A centralized control method is presented, where the leader of a CAV platoon collects information from followers, computes the desired accelerations of all controlled vehicles, and broadcasts the desired accelerations to followers. …”
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Robust Classification of Smartphone Captured Handwritten Document Images Using Deep Learning by K. S. Koushik, B. J. Bipin Nair, N. Shobha Rani, Mohammed Javed

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A Novel Adaptive Cuboid Regional Growth Algorithm for Trunk–Branch Segmentation of Point Clouds from Two Fruit Tree Species by Yuheng Cao, Ning Wang, Bin Wu, Xin Zhang, Yaxiong Wang, Shuting Xu, Man Zhang, Yanlong Miao, Feng Kang

“…Accurate acquisition of the phenotypic information of trunk-shaped fruit trees plays a crucial role in intelligent orchard management, pruning during dormancy, and improving fruit yield and quality. …”
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A novel lightweight multi-scale feature fusion segmentation algorithm for real-time cervical lesion screening by Jiahui Yang, Ying Zhang, Wenlong Fan, Jie Wang, Xinhe Zhang, Chunhui Liu, Shuang Liu, Linyan Xue

“…In encoder stage, the first layer of MobileNetV2 module outputs shallow features which tend to be lost during multi-layer feature extraction. …”
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Dynamic graph attention network based on multi-scale frequency domain features for motion imagery decoding in hemiplegic patients by Yinan Wang, Yinan Wang, Lizhou Gong, Yang Zhao, Yewei Yu, Hanxu Liu, Xiao Yang

“…MFF-DANet employs convolutional kernels of various scales to extract feature information across multiple frequency bands, followed by a channel attention-based average pooling operation to retain the most critical frequency domain features. …”
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Comment genial.ly peut-il aider un/e élève à améliorer sa mémoire ? by Lavinia Kunz

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