HEAVY
发表于 2025-3-23 12:36:07
Allan M. Krallrers, home appliances manufacturers, etc. The acceptance of IoT technology has tremendously changed the manner we live. Hence, IoT is commonly referred to as the Internet of People (IoP) given that it is employed roughly by everyone in their daily lives, from individuals to institutions. There is a
乞讨
发表于 2025-3-23 13:54:29
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宽敞
发表于 2025-3-23 19:29:12
Allan M. Krallg future situations. Accordingly, many different methods were proposed in this field. The current paper focuses on two issues. The first detects the movement modes of moving objects in the future based on the current movement route of moving objects. The second calculates the movement dependence deg
opportune
发表于 2025-3-23 23:23:18
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intrigue
发表于 2025-3-24 04:49:35
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Painstaking
发表于 2025-3-24 07:57:13
Allan M. Krallrgest cost. A remote monitoring is a common method to reduce this cost. Growing number of monitored turbines requires an automatized way of support for diagnostic experts. Early fault detection and identification is still a very challenging task. A tool, which can alert an engineer about potentially
sulcus
发表于 2025-3-24 13:14:51
Allan M. Krallnce and Soft Computing, ICAISC 2014, held in Zakopane, Poland in June 2014. The 139 revised full papers presented in the volumes, were carefully reviewed and selected from 331 submissions. The 69 papers included in the first volume are focused on the following topical sections: Neural Networks and T
Chandelier
发表于 2025-3-24 15:51:15
Allan M. Krallrgest cost. A remote monitoring is a common method to reduce this cost. Growing number of monitored turbines requires an automatized way of support for diagnostic experts. Early fault detection and identification is still a very challenging task. A tool, which can alert an engineer about potentially
Tincture
发表于 2025-3-24 21:29:30
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Epithelium
发表于 2025-3-25 00:36:23
Allan M. Krallsence of a slowly varying, reoccurring concept drift which results in the existence of relatively long subsequences of similar images from the same class. It seems useful to incorporate this knowledge into a classifier. To this end, we propose a novel idea of constructing a Markov chain (MC) that pr