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Depth Normalized Stable View Synthesis
Novel view synthesis (NVS) aims to synthesize photo-realistic images depicting a scene by utilizing existing source images. The synthesized images...
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Real-time tracking of moving objects through efficient scale space adaptation and normalized correlation filtering
The field of real-time mobile object tracking is a crucial aspect of computer vision. Despite numerous algorithms proposed for efficient tracking,...
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Expanding Normalized Systems from textual domain descriptions using TEMOS
Functional requirements on a software system are traditionally captured as text that describes the expected functionality in the domain of a...
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Similarity Metrics and Visualization of Scholars Based on Variational Graph Normalized Auto-Encoders
With the rapid development of Internet technology and academic social media, it has become one of the important research directions of social...
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Relationship between collaboration and normalized scientific impact in South American public universities
The relationship between international collaboration and scientific impact is studied in the context of South American universities. This study aims...
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Enhanced individual characteristics normalized lightweight rice-VGG16 method for rice seed defect recognition
The current rice seed defect recognition methods have several disadvantages, including the background segmentation of images, complex operation, and...
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Period Extraction for Traffic Flow Prediction
Due to the particularity of “Tourist chartered Buses, Liner Buses and Dangerous Goods Transport Vehicles” (“TLD Vehicles”), traffic accidents will...
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Detection of Сonvective Сlouds over Indian Region Using Normalized Difference Cloud Index from Satellite Data
AbstractThe scattering and absorption characteristics of different clouds may vary due to regional, seasonal, altitude and physical properties of the...
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From indexation policies through citation networks to normalized citation impacts: Web of Science, Scopus, and Dimensions as varying resonance chambers
Dimensions was introduced as an alternative bibliometric database to the well-established Web of Science (WoS) and Scopus, however all three...
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Computational modeling of flow-mediated angiogenesis: Stokes–Darcy flow on a growing vessel network
Tumor angiogenesis, the growth of new blood vessels towards a tumor, plays a critical role in cancer progression. Tumors release tumor angiogenic...
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Prediction of Tourism Flow with Sparse Geolocation Data
Modern tourism in the 21st century is facing numerous challenges. Among these the rapidly growing number of tourists visiting space-limited regions...
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Detection and Asynchronous Flow Prediction in a MOOC
Flow is a human psychological state positively correlated to self-efficacy, motivation, engagement, and academic achievement. In a MOOC, flow...
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The Security in Networks Through Short Normalized Attack Graph Modeling
In this chapter, a proposal is made to design a new attack graph model based on shortest path normalization. The main aim of the proposed method is...
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Describing Motion in Computer Images’ Stream: Optical Flow
This chapter gives a review of optical flow and evaluates the performance of the benchmark optical flow techniques on both synthetic and real image...
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Real-Time Reconstruction of Complex Flow in Nanoporous Media: Linear vs Non-linear Decoding
Physical field reconstruction from limited real-time data is a topical inverse problem that attracts substantial research effort, and complex...
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Assessment of Spatial and Temporal Changes in Strength of Vegetation Using Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI): A Case Study from Akola District, Central India
In order to track changes in vegetation, vegetation indices are crucial. Both the MODIS Land Discipline Group’s Enhanced Vegetation Index (EVI) and...
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SplatFlow: Learning Multi-frame Optical Flow via Splatting
The occlusion problem remains a crucial challenge in optical flow estimation (OFE). Despite the recent significant progress brought about by deep...
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Application of machine learning to model the pressure poisson equation for fluid flow on generic geometries
This study addresses the importance of enhancing traditional fluid-flow solvers by introducing a Machine Learning procedure to model pressure fields...
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A Variational Optical Flow Model for Accurate Motion Estimation from Rotational Image Sequences
There are several optical flow models which aim to capture spatial characteristics of the flow such as divergence and curl. However accurate...
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Traffic Flow Prediction Based on ACO-BI-LSTM
For traffic flow forecasting task exists for the future traffic flow prediction accuracy is low, lack of generalization and the deep learning model...