標(biāo)題: Titlebook: Activity Recognition in Pervasive Intelligent Environments; Liming Chen,Chris D. Nugent,Jesse Hoey Book 20111st edition Atlantis Press 201 [打印本頁] 作者: 烤問 時(shí)間: 2025-3-21 19:39
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書目名稱Activity Recognition in Pervasive Intelligent Environments影響因子(影響力)學(xué)科排名
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書目名稱Activity Recognition in Pervasive Intelligent Environments網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Activity Recognition in Pervasive Intelligent Environments被引頻次
書目名稱Activity Recognition in Pervasive Intelligent Environments被引頻次學(xué)科排名
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書目名稱Activity Recognition in Pervasive Intelligent Environments讀者反饋
書目名稱Activity Recognition in Pervasive Intelligent Environments讀者反饋學(xué)科排名
作者: Leisureliness 時(shí)間: 2025-3-21 20:28 作者: corpuscle 時(shí)間: 2025-3-22 04:25
Smart Environments and Activity Recognition: A Logic-based Approach,stliche Lebensstil im Mittelpunkt der Kritik. Gefordert werden zum Teil sehr weitreichende ?nderungen des Konsumverhaltens der Menschen in den wohlhabenden Industriel?ndern: Propagiert wird . ?kologische Lebensstil (vgl. Reusswig 1994). Dabei wird jedoch nicht deutlich, wer welchen Lebensstil wie ?n作者: Rheumatologist 時(shí)間: 2025-3-22 05:39 作者: 中和 時(shí)間: 2025-3-22 12:36 作者: 平庸的人或物 時(shí)間: 2025-3-22 14:33 作者: LATHE 時(shí)間: 2025-3-22 17:47 作者: flaggy 時(shí)間: 2025-3-22 22:17 作者: 躲債 時(shí)間: 2025-3-23 02:11
https://doi.org/10.1007/978-3-8349-8466-1d robotics converge on this critical issue. It is also driven by growing real-world application needs in such areas as ambient assisted living and security surveillance. This chapter aims to provide an overview on existing approaches, current practices and future trends on activity recognition. It i作者: 柏樹 時(shí)間: 2025-3-23 07:26 作者: Dawdle 時(shí)間: 2025-3-23 10:22 作者: 身心疲憊 時(shí)間: 2025-3-23 15:55
https://doi.org/10.1007/978-3-8349-8466-1imilar scenarios. In particular, an ontology-based architecture is described that allows system designers to specify non trivial situations the system must be able to detect on the basis of available sensory data. Relevant situations may include activities and events that could be prolonged over lon作者: 松馳 時(shí)間: 2025-3-23 20:37
Steuerung automatischer Getriebe, RFID and NFC in order to ease the day to day of dependant or semi-dependant elderly people (its main focus), their care takers and relatives. The end result is an affordable, unobtrusive, evolvable, usable and easily deployable ICT infrastructure which aims to approach the vision of “AAL for All”. 作者: Cosmopolitan 時(shí)間: 2025-3-24 01:27
Steuerung automatischer Getriebe,o assist elderly persons maintain a healthy daily routine and help them to live safely and independently within their own home for longer periods of time. Behavior analysis associated with the delivery of reminders offers strategies to promote a healthier lifestyle. Current studies addressing remind作者: 漫步 時(shí)間: 2025-3-24 05:15
Heinrich Hippenmeyer,Thomas Moosmannvices, our approach uses supervised learning technics to predict the house occupant. We applied Support Vector Machines (SVM) classifier to build a Behavior Classification Model (BCM) and learn the users’ habits when they perform activities for predicting and identifying the house occupant. To test 作者: Trabeculoplasty 時(shí)間: 2025-3-24 07:06 作者: fertilizer 時(shí)間: 2025-3-24 10:47 作者: AVANT 時(shí)間: 2025-3-24 18:08 作者: 舞蹈編排 時(shí)間: 2025-3-24 20:48 作者: Engaging 時(shí)間: 2025-3-24 23:55 作者: 改革運(yùn)動(dòng) 時(shí)間: 2025-3-25 07:07
https://doi.org/10.1007/978-3-658-06744-1his chapter highlights embedded systems for activity recognition that provide privacy, do not require major infrastructure,and are easy to configure. The strengths and weaknesses of popular sensing modes that include RFID, motion, pressure, acceleration, and machine vision are discussed. A new activ作者: Canary 時(shí)間: 2025-3-25 09:24 作者: 軟弱 時(shí)間: 2025-3-25 13:31 作者: packet 時(shí)間: 2025-3-25 16:42
Atlantis Ambient and Pervasive Intelligencehttp://image.papertrans.cn/a/image/144301.jpg作者: biopsy 時(shí)間: 2025-3-25 21:31
https://doi.org/10.2991/978-94-91216-05-3activity recognition; ambient intelligent; datamining; intelligent environments; pervasive computing作者: NAV 時(shí)間: 2025-3-26 03:40 作者: aquatic 時(shí)間: 2025-3-26 07:25 作者: certitude 時(shí)間: 2025-3-26 10:54 作者: bourgeois 時(shí)間: 2025-3-26 13:12
Heinrich Hippenmeyer,Thomas Moosmannthe Washington State University smart apartment tesbed. The results showed a high prediction precision and demonstrate that each user has his own manner to perform his morning activity, and can be easily identified by just learning his habits.作者: 可能性 時(shí)間: 2025-3-26 17:37 作者: 發(fā)源 時(shí)間: 2025-3-26 23:20 作者: STALE 時(shí)間: 2025-3-27 01:19
Book 20111st edition topic will be focused on activity modeling, representation and reasoning using mathematical models, knowledge representation formalisms and AI techniques. The second topic will concentrate on activity recognition methods and algorithms. Apart from traditional methods based on data mining and machin作者: 法律 時(shí)間: 2025-3-27 07:30
1875-7669 erdisciplinary overview, ranging from pervaisve computing thThis book consists of a number of chapters addressing different aspects of activity recognition, roughly in three main categories of topics. The first topic will be focused on activity modeling, representation and reasoning using mathematic作者: ARCH 時(shí)間: 2025-3-27 13:22
Modulo-Netzwerk-Simplex-Verfahrennt. To address this challenging issue, we present a formal activity recognition framework based on possibility theory and description logics. We present initial results from an implementation of this recognition approach in a smart home laboratory.作者: 有限 時(shí)間: 2025-3-27 15:45 作者: extrovert 時(shí)間: 2025-3-27 18:23
https://doi.org/10.1007/978-3-662-05948-7tasets. Our results can be used as a baseline for comparing the performance of other pattern recognition methods (both probabilistic and non-probabilistic). The datasets used in this chapter are made public, together with the source code of the probabilistic models used.作者: myopia 時(shí)間: 2025-3-28 01:36 作者: 夜晚 時(shí)間: 2025-3-28 03:49 作者: HARP 時(shí)間: 2025-3-28 09:29 作者: 制定法律 時(shí)間: 2025-3-28 13:11 作者: 粗語 時(shí)間: 2025-3-28 17:02
,User’s Behavior Classification Model for Smart Houses Occupant Prediction,978-3-662-60415-1作者: 神化怪物 時(shí)間: 2025-3-28 20:00 作者: Progesterone 時(shí)間: 2025-3-28 23:05
Synthesising Generative Probabilistic Models for High-Level Activity Recognition,978-3-7091-2301-0作者: Coronary 時(shí)間: 2025-3-29 06:25 作者: Ataxia 時(shí)間: 2025-3-29 07:40 作者: STALL 時(shí)間: 2025-3-29 11:52
Steuerung automatischer Getriebe,fficient and appropriate delivery of feedback by combining context such as current activity, posture, location, time and personal schedule to manage any inconsistency between what the user is expected to do and what the user is actually doing. The ontology-based context-aware approach has the potent作者: PHONE 時(shí)間: 2025-3-29 17:54 作者: 暫時(shí)別動(dòng) 時(shí)間: 2025-3-29 22:22 作者: 檔案 時(shí)間: 2025-3-30 03:29 作者: Lyme-disease 時(shí)間: 2025-3-30 04:50
1875-7669 pment and deployment of technological solutions. The fourth category of topic will be dedicated to representative applications of activity recognition in intelligent environments, which address the life cycle o978-94-91216-40-4978-94-91216-05-3Series ISSN 1875-7669 Series E-ISSN 2215-1893 作者: 熄滅 時(shí)間: 2025-3-30 09:47 作者: 我們的面粉 時(shí)間: 2025-3-30 16:03 作者: 勤勉 時(shí)間: 2025-3-30 17:19
Smart Environments and Activity Recognition: A Logic-based Approach, und Einkommen nicht mehr aus, um die Vielfalt der sozialen Unterschiede in einer Gesellschaft zu beschreiben. Vielmehr k?nnen gleichartige sozio?konomische Lebensbedingungen zu ganz verschiedenen Lebensstilen führen. So erfolgt das Zugeh?rigkeitsgefühl zu einem bestimmten sozialen Umfeld weniger au作者: CHIP 時(shí)間: 2025-3-30 21:31
