子女
发表于 2025-3-25 05:47:09
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/233084.jpg
Desert
发表于 2025-3-25 10:54:26
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defibrillator
发表于 2025-3-25 14:56:25
https://doi.org/10.1007/978-1-4020-6598-9ging technologies are used to help wildfire analysts determine fire behavior and spread aiming at a more accurate prediction results and efficient use of resources in fire fighting. Natural hazards simulations need to deal with data input uncertainty and their impact on prediction results, usually r
改良
发表于 2025-3-25 17:54:04
https://doi.org/10.1007/978-1-4020-6598-9A) methods aim to best approximate model states with imperfect measurements, where particle Filters (PFs) are commonly used with discrete-event simulations. In this paper, we study three critical conditions of DA using PFs: (1) the time interval of iterations, (2) the number of particles and (3) the
即席演说
发表于 2025-3-25 23:23:15
Ivo Allegrini,Francesca Costabilelatforms such as Foursquare, Twitter, and Yelp has motivated a considerable amount of research focused on POI recommendations within the last decade. Inspired by the success of deep neural networks in many fields, researchers are increasingly interested in using neural networks such as Recurrent Neu
milligram
发表于 2025-3-26 04:06:39
Global Warming Affecting Mexican Firms, We then generated a dynamic graph with our visualization tool and performed malware attribution analysis. We found: 1) malware distribution networks form clusters rather than a single network; 2) those cluster sizes follow the Power Law; 3) there is a correlation between cluster size and the number
escalate
发表于 2025-3-26 07:59:28
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去掉
发表于 2025-3-26 09:11:53
D. Prabhakar,P. K. Garg,Anoop Kumar Shuklaon various scales can help to improve quality of living, enhance urban management, and advance the development of smart cities. But it is widely known that the performance of algorithms for data mining and analysis heavily relies on the quality of input data. The main aim of this paper is helping LB
共同时代
发表于 2025-3-26 14:48:57
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cumber
发表于 2025-3-26 20:14:38
Integrated Water Resource Management,ystem. The PI-ESN is trained by using (i) data, which contains no information on the unmeasured state, and (ii) the physical equations of a prototypical chaotic dynamical system. Non-noisy and noisy datasets are considered. First, it is shown that the PI-ESN can accurately reconstruct the unmeasured