Despite the recent development of deep learning-based point cloud upsampling, most MLP-based point cloud upsampling methods have limitations in that it is difficult to train the local and global structure of the point...
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Entity alignment (EA) for knowledge graphs (KGs) plays a critical role in knowledge engineering. Existing EA methods mostly focus on utilizing the graph structures and entity attributes (including literals), but ignor...
In recent years, synthetic media generation has gained significant attention in areas such as entertainment, gaming, and visual content creation. The Generative Vision Hybrid Model leverages advanced generative archit...
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This work is dedicated to the development and investigation of an algorithm for the incoherent, element-wise reception of frequency-modulated signals with extended phase trajectories, using feedback on the solution. W...
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In this paper, we thoroughly examine the fundamental part which is Parts-Of-Speech (POS) Tagging of Natural Language processing (NLP), especially. Our examination revolves around Hidden Markov Models (HMMs) usage to f...
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The proceedings contain 69 papers. The topics discussed include: a study analysis of VoIP Traffic between RIP and OSPF using OPNET;FOPID corrector tuning with optimization algorithms applied on high order systems;a no...
ISBN:
(纸本)9798350326390
The proceedings contain 69 papers. The topics discussed include: a study analysis of VoIP Traffic between RIP and OSPF using OPNET;FOPID corrector tuning with optimization algorithms applied on high order systems;a novel CMOS high frequency divider;fuzzy fractional pi controller for uncertain fractional system;design of compact dual-band smartwatch antenna for biomedical applications;design of robust PID controllers based on the scenario approach;gastrointestinal endoscopic image classification using transfer learning;optimization techniques for indoor localization: a multi-objective approach to sampling time and error rate trade-off;refinement of the side information of distributed video coding with deep learning;and design of a low-cost IoT-based wearable system for cardiovascular disease detection and monitoring in Rwanda.
In this communication, the design process for compact, low-profile slot antennas on FR-4 glass epoxy microwave substrate is presented and analyzed. A Tire Pressure Monitoring System (TPMS) device is implemented inside...
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In the recent technology, digital images play an important role to implement various applications, i.e., pattern recognition, object detection, quality enhancement, object tracking, face identification, etc. The image...
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Text similarity calculation is an important component of many text mining techniques. Most of the existing studies only consider model fusion of textual features or semantic features, which are not suitable for long t...
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Dropout has emerged as one of the most frequently used techniques for training deep neural networks (DNNs). Although effective, the sampled sub-model by random dropout during training is inconsistent with the full mod...
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