Deep-learning-based detection of large vessel occlusion: A comparison of CT and diffusion-weighted imaging by JaeYoung Kang, JunYoung Park, YoungJae Kim, BumJoon Kim, SangHee Ha, KwangGi Kim

“…Three deep-learning models, convolutional neural network, EfficientNet-B2, and DenseNet121, were used to compare CT&CI and DWI for detecting anterior circulation LVO. …”
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MSNet: A Novel Deep Learning Framework for Efficient Missing Seedling Detection in Maize Fields by Yong Shi, Ruijie Xu, Zhiquan Qi

“…By incorporating this information, SeedNet improves recall by 25.3[Formula: see text] and AP by 15.4[Formula: see text] compared to the baseline. …”
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HEE-SegGAN: A holistically-nested edge enhanced GAN for pulmonary nodule segmentation. by Yong Wang, Seri Mastura Mustaza, Mohammad Syuhaimi Ab-Rahman, Siti Salasiah Mokri

“…Two inverted residual modules were embedded within the HED-U-Net to fuse inter-slice spatial information and enhance salient features using a channel attention mechanism. …”
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Multiscale Interaction Purification-Based Global Context Network for Industrial Process Fault Diagnosis by Yukun Huang, Jianchang Liu, Peng Xu, Lin Jiang, Xiaoyu Sun, Haotian Tang

“…Finally, MIPGC-Net is constructed by stacking multiple WTD sub-networks to perform fault diagnosis in industrial processes, effectively capturing both local and global information. …”
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The Characteristics of Land‐Atmospheric Water and Heat Exchange during Soil Freezing‐Thawing Process over the Underlying Surface of the Alpine Grassland in the Source Region of the... by Yueyue WU, Jun WEN, Zuoliang WANG, Dongyu JIA, Wenhui LIU, Yuqin JIANG, Xuancheng LU

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Advanced deep transfer learning techniques for efficient detection of cotton plant diseases by Prashant Johri, SeongKi Kim, Kumud Dixit, Prakhar Sharma, Barkha Kakkar, Yogesh Kumar, Jana Shafi, Muhammad Fazal Ijaz

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The Identification of Authors in the Mathematical Reviews Database. by Bert TePaske-King, Norman Richert

“…The unique identification of authors is one of the distinguishing features of the Mathematical Reviews Database and its publication in MathSciNet. The data collected since 1940 is an invaluable resource for the mathematical research community and the information professional community. …”
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Temporal Segment Method in Sign Word Recognition Using a Pretrained CNN-LSTM Network by Seungju Lee, Irina Polyakova

“…Experiments included a comparative analysis of different pretrained ResNet models (ResNet18, ResNet34, ResNet50, ResNet101, ResNet152), resulting in the identification of the optimal configuration. …”
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Urdu Lip Reading Systems for Digits in Controlled and Uncontrolled Environment by Amanullah Baloch, Mushtaq Ali, Lal Hussain, Touseef Sadiq, Badr S. Alkahtani

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Deepfake Face Detection and Adversarial Attack Defense Method Based on Multi-Feature Decision Fusion by Shanzhong Lei, Junfang Song, Feiyang Feng, Zhuyang Yan, Aixin Wang

“…Subsequently, the FG-TEFusionNet (Facial-geometry and Texture enhancement fusion-Net) model was developed for deepfake face detection and assessment. …”
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Point rotation invariant features and attention fusion network for point cloud registration of 3D shapes by Zeyang Liu, Zhiguo Lu, Yancong Shan

“…The model is trained on the ModelNet40 (Wu et al. in: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 1912–1920, 2015) dataset and evaluated on both ModelNet40 and ShapeNet (Chang et al. in Shapenet: an information-rich 3d model repository, 2015. arXiv:1512.03012 ) datasets, demonstrating its generalization capabilities. …”
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Soybean Lodging Classification and Yield Prediction Using Multimodal UAV Data Fusion and Deep Learning by Xingmei Xu, Yushi Fang, Guangyao Sun, Yong Zhang, Lei Wang, Chen Chen, Lisuo Ren, Lei Meng, Yinghui Li, Lijuan Qiu, Yan Guo, Helong Yu, Yuntao Ma

“…To improve accuracy in yield prediction, this study integrates lodging information with other features, such as canopy spectral reflectance, vegetation indices, and texture features, using two multimodal data fusion strategies: input-level fusion (ResNet-EF) and intermediate-level fusion (ResNet-MF). …”
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Class-aware feature attention-based semantic segmentation on hyperspectral images. by Prabu Sevugan, Venkatesan Rudhrakoti, Tai-Hoon Kim, Megala Gunasekaran, Swarnalatha Purushotham, Ravikumar Chinthaginjala, Irfan Ahmad, Kumar A

“…Aclass-aware feature-based attention approach is combined with an enhanced attention-based network, FAttNet is proposed to segment the hyperspectral images semantically. …”
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The Effect of Processing Techniques on the Classification Accuracy of Brain-Computer Interface Systems by András Adolf, Csaba Márton Köllőd, Gergely Márton, Ward Fadel, István Ulbert

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A Human-Centric, Uncertainty-Aware Event-Fused AI Network for Robust Face Recognition in Adverse Conditions by Akmalbek Abdusalomov, Sabina Umirzakova, Elbek Boymatov, Dilnoza Zaripova, Shukhrat Kamalov, Zavqiddin Temirov, Wonjun Jeong, Hyoungsun Choi, Taeg Keun Whangbo

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A Hybrid Machine Learning Approach: Analyzing Energy Potential and Designing Solar Fault Detection for an AIoT-Based Solar–Hydrogen System in a University Setting by Salaki Reynaldo Joshua, An Na Yeon, Sanguk Park, Kihyeon Kwon

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Real-time driver drowsiness detection using transformer architectures: a novel deep learning approach by Osama F. Hassan, Ahmed F. Ibrahim, Ahmed Gomaa, M. A. Makhlouf, B. Hafiz

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VBNet: A Visually-Aware Biomimetic Network for Simulating the Human Eye’s Visual System by Zhaofei Li, Yufan Mao, Mingshan Zhong, Jun Zhao

“…Furthermore, it employs feature converter modules (CFC and TFC) to enhance information fusion between the branches. Empirical results highlight VBNet’s superiority over RegNet and PVT in ImageNet classification and competitive performance in MSCOCO object detection and instance segmentation. …”
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Automatic Potato Crop Beetle Recognition Method Based on Multiscale Asymmetric Convolution Blocks by Jingjun Cao, Xiaoqing Xian, Minghui Qiu, Xin Li, Yajie Wei, Wanxue Liu, Guifen Zhang, Lihua Jiang

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Classification of Music Structural Functions using Deep Learning by Dina A. AbdulQader, Piotr Bilski

“…Results demonstrated that ResNet50 and DenseNet121 achieved the highest performance in terms of classification accuracy, with ResNet50 reaching 87% and DenseNet121 reaching 85.16%. …”
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