Analysis of Gear Heat Treatment Deformation of 20CrMoH and 8620H Materials by Kai Wu, Jinyuan Tang, Siyuan Sun, Wen Shao

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Application of Prior-knowledge for Intelligent Gear Fault Diagnosis Under Variable Speed Condition by Pan Can, Li Weihua

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Audio-Based Assistive Device for Boxed Product Detection for The Visually Impaired by Muhammad Dzaky Yoni, Dodon Yendri

“…The system utilizes the Single Shot Multibox Detector (SSD) MobileNetV2 algorithm for object detection and classification, with the Raspberry Pi 4 Model B as the main microcontroller and the Raspberry Pi Camera OV5647 for image capture. …”
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THE APPLICATION OF LCD AND SWT IN FAULT DIAGNOSIS OF ROLLING BEARING by LIU YiYa, LI Ke, CHEN Peng

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Assessment of the spatial capacity of rural areas, as illustrated by the example of the Nowy Targ municipality by Julia Gorzelany, Paulina Figas, Magdalena Wilkosz-Mamcarczyk

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Designing technology for legal work by Terhi Esko

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Exploring the intersections of Tourism and Hospitality: A review and research agenda by Paulo Rita, Ricardo Ramos, Sérgio Moro

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An innovative method for improving the performance of unmanned aerial vehicle-based generalized spatial modulation and non-orthogonal multiple access in 6G networks by Mounika Neelam, Anuradha Sundru

“…These findings underscore the BOA’s potential for 6G UAV-GSM-NOMA net-works in challenging channel environments, ensuring reliable and efficient communication. …”
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Semantic segmentation of 3D point cloud based on contextual attention CNN by Jun YANG, Jisheng DANG

“…Aiming at the under-segmentation of 3D point cloud semantic segmentation caused by the lack of contextual fine-grained information of the point cloud,an algorithm based on contextual attention CNN was proposed for 3D point cloud semantic segmentation.Firstly,the fine-grained features in local area of the point cloud were mined through the attention coding mechanism.Secondly,the contextual features between multi-scale local areas were captured by the contextual recurrent neural network coding mechanism and compensated with the fine-grained local features.Finally,the multi-head mechanism was used to enhance the generalization ability of the network.Experiments show that the mIoU of the proposed algorithm on the three standard datasets of ShapeNet Parts,S3DIS and vKITTI are 85.4%,56.7% and 38.1% respectively,which has good segmentation performance and good generalization ability.…”
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I Gesti nelle rappresentazioni iconografiche ittite tra il XVI e il XIII secolo a.C. by Giuliana Paradiso

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EARLY FAULT DIAGNOSIS OF ROLLING BEARING BASED ON WAVELET PACKET TRANSFORM ADAPTIVE TEAGER ENERGY SPECTRUM by WANG ChaoGe, REN XuePing, SUN BaiYi, WANG JianGuo

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Two Decades, Same Story? Insights and Future Directions in Long Tail Data Curation by Inna Kouper, Gretchen Stahlman

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Hoes or Adzes? Experimental Reproduction and Uses of Deer Antler Tools from the Bronze Age Terramara of Pragatto (Italy) by Arianna Durante, Sara Maria Stellacci, Alessio Pellegrini, Antonella de Angelis, Federico Scacchetti

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Dynamics of Lemon Crop Production in Tambo Grande, Piura: Implementation of Convolutional Neural Networks and Analysis of Risk Management Associated with Thermal Climatic Phenomena by Luis Meneses, Mirtha Ortega, Misael Rivas, Piero Fernández, Antonio Angulo

“…This study uses satellite indices (NDVI and NDWI) and convolutional neural networks (CNNs, specifically AlexNet) to analyze crop dynamics and health during extreme events. …”
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基于拓扑演化理论的周转轮系综合构型与自动装配 by 史晓影, 孟祥丰, 王慧武

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Population projections for Sweden, Norway, Denmark, and Finland, 2015–2065 by Tarvainen Kyösti

“…In this situation, the paper’s “what if” projections, incorporating the average 2012–2014 net immigration level, serve as useful reference information. …”
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Differentiable Few-view CT-Reconstruction for Arbitrary CT-Trajectories including Prior Knowledge by Linda-Sophie Schneider, Adrian Waldyra, Yipeng Sun, Andreas K. Maier

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Multimodal Sparse Reconstruction and Deep Generative Networks: A Paradigm Shift in MR-PET Neuroimaging by Krzysztof Malczewski

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Convolutional neural network for gesture recognition human-computer interaction system design. by Peixin Niu

“…Addressing the challenge posed by the insufficient feature extraction capability of existing network models, which hampers gesture recognition accuracy and increases model inference time, this paper introduces a novel gesture recognition algorithm based on an enhanced MobileNet network. This innovative design incorporates a multi-scale convolutional module to extract underlying features, thereby augmenting the network's feature extraction capabilities. …”
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Dataset of video game-based assessments in digital culture courses at Indoamerica UniversityMendeley Data by Miguel Cobos

“…The data were collected using an adapted version of Pacman through the ClassTools.net platform, where traditional quiz questions were integrated into gameplay mechanics. …”
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