標(biāo)題: Titlebook: Innovation Networks in the German Laser Industry; Evolutionary Change, Muhamed Kudic Book 2015 Springer International Publishing Switzerlan [打印本頁] 作者: informed 時(shí)間: 2025-3-21 16:51
書目名稱Innovation Networks in the German Laser Industry影響因子(影響力)
書目名稱Innovation Networks in the German Laser Industry影響因子(影響力)學(xué)科排名
書目名稱Innovation Networks in the German Laser Industry網(wǎng)絡(luò)公開度
書目名稱Innovation Networks in the German Laser Industry網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Innovation Networks in the German Laser Industry被引頻次
書目名稱Innovation Networks in the German Laser Industry被引頻次學(xué)科排名
書目名稱Innovation Networks in the German Laser Industry年度引用
書目名稱Innovation Networks in the German Laser Industry年度引用學(xué)科排名
書目名稱Innovation Networks in the German Laser Industry讀者反饋
書目名稱Innovation Networks in the German Laser Industry讀者反饋學(xué)科排名
作者: Substance 時(shí)間: 2025-3-21 23:21
al information including the microscopic proximity structure and mesoscopic community structure. In particular, both the microscopic proximity structure and node attributes are factorized by Nonnegative Matrix Factorization (NMF), from which the low-dimensional node representations can be obtained. 作者: infelicitous 時(shí)間: 2025-3-22 04:22 作者: ventilate 時(shí)間: 2025-3-22 07:12 作者: Accede 時(shí)間: 2025-3-22 09:02 作者: 牽連 時(shí)間: 2025-3-22 16:29 作者: Ophthalmoscope 時(shí)間: 2025-3-22 17:40
Muhamed Kudics problem. We first get the fuzzy emotion intensity of every sentiment word by solving a fuzzy relation equation, and then utilize an improved fuzzy-rough set method to predict emotion intensity for sentences, paragraphs, and documents. Compared with previous work, our proposed algorithm can simulta作者: 妨礙議事 時(shí)間: 2025-3-22 21:42 作者: 贊美者 時(shí)間: 2025-3-23 05:21
Muhamed KudicQs accurately, we propose the Pattern-Concept-Time-Based (PCTB) method that utilizes query reformulation patterns, concepts behind the queries and the user’s continuous searching behavior to compute the similarity between two queries. To evaluate the effectiveness of our approach, we employ the AOL 作者: 敬禮 時(shí)間: 2025-3-23 05:49 作者: 桶去微染 時(shí)間: 2025-3-23 10:54 作者: 男生如果明白 時(shí)間: 2025-3-23 16:10 作者: 死亡 時(shí)間: 2025-3-23 20:18
Muhamed Kudics significantly improved the trajectory compression rate, and its average time complexity and space complexity is .(.) and .(1) respectively. Finally, we conducted experiments on three real data sets to verify that the ROPW algorithm performed very well in terms of compression rate and time efficien作者: 物種起源 時(shí)間: 2025-3-23 22:31 作者: notification 時(shí)間: 2025-3-24 05:01
Muhamed Kudics because of its fundamental characteristics like decentralization, immutability, authenticity, trust management, and integrity. In DDoS attacks mitigation, Blockchain technology is utilized in many different ways but, still in the initial phase. Due to all these characteristics of Blockchain, Block作者: 宴會(huì) 時(shí)間: 2025-3-24 09:08
Muhamed Kudic to transform the entire input space. The nearest neighbor of the test sample, in the training set, is noted for each transformation. A comparison amongst all transformations for the closest nearest neighbor in the training set establishes the class of the test sample. Experiments are conducted on t作者: Metastasis 時(shí)間: 2025-3-24 11:14 作者: Contracture 時(shí)間: 2025-3-24 15:45
Muhamed Kudic to transform the entire input space. The nearest neighbor of the test sample, in the training set, is noted for each transformation. A comparison amongst all transformations for the closest nearest neighbor in the training set establishes the class of the test sample. Experiments are conducted on t作者: 消音器 時(shí)間: 2025-3-24 21:13 作者: 誘使 時(shí)間: 2025-3-25 02:41
Muhamed Kudicntage over existing methods is that we have designed “Automation mode” so that even first-time users can easily use it. Users can automatically obtain the best-performing algorithm and hyperparameter configuration by entering only their own data. The whole process of automatic algorithm selection an作者: 萬花筒 時(shí)間: 2025-3-25 06:34
Muhamed Kudicterogeneous graph neural network architecture, which integrates the syndrome information into the GCN message propagation process by combining the coarse-grained and fine-grained information of the interactions. The experimental results on the real TCM dataset demonstrate the improvements over state作者: Amenable 時(shí)間: 2025-3-25 08:45
Introductionstudy are presented. And finally, the research design and the plan of the book are outlined in Sect. .. In short, our aim with this study is to contribute to the existing body of literature by exploring how and why firm-specific R&D cooperation activities and network positions, large-scale network p作者: CAMEO 時(shí)間: 2025-3-25 14:13
Theoretical Backgrounde, we start by clarifying some basic terminology and concepts. Next we discuss the theoretical cornerstones of the approach. Finally, we address three selected concepts: proximity, innovation systems and innovation networks. In Sect.?. we draw upon the knowledge-based theory of the firm to establish作者: oxidant 時(shí)間: 2025-3-25 17:51
Laser Technology and the German Laser Industrya closer look at the German laser industry by discussing the emergence of laser technology and specific industry characteristics in East and West Germany. Finally, in Sect.?., attention is drawn to the configuration of the industry value chain.作者: 不吉祥的女人 時(shí)間: 2025-3-25 22:25
Industry Dynamics and Geographical Concentrationentry and exit dynamics of LSMs on an annual basis and illustrating the size distribution of firms at the regional and national level. Finally, we take a closer look at the public research landscape in the German laser industry by exploring the structural composition of all PROs in the sample.作者: Cardiac-Output 時(shí)間: 2025-3-26 01:44 作者: Fibrinogen 時(shí)間: 2025-3-26 06:36 作者: aspersion 時(shí)間: 2025-3-26 09:40 作者: flaunt 時(shí)間: 2025-3-26 13:55 作者: Acumen 時(shí)間: 2025-3-26 19:37
Network Positioning, Co-Location or Both?e a brief discussion of theoretical background in Sect. 12.2. In Sect. 12.3 we introduce our conceptual framework and derive our hypotheses. In Sect. 12.4 we introduce the data and methods used. Next, we outline the estimation strategy and report our empirical results in Sect. 12.5. Finally, we disc作者: 獸皮 時(shí)間: 2025-3-26 21:59 作者: tariff 時(shí)間: 2025-3-27 01:06
. As a result, POI recommendation systems, which play a vital role in connecting users and POIs, have received extensive attention from both research and industry communities in the past few years. The challenges of POI recommendation come from the very sparse user check-in records with only positiv作者: STALE 時(shí)間: 2025-3-27 07:01
Muhamed Kudics of clothing from tens of thousands available selections. To help common customers overcome selection difficulties, recent studies in the recommender system area have started to infer the fashion matching results automatically. The conventional fashion recommendation is normally achieved by conside作者: SAGE 時(shí)間: 2025-3-27 12:46
Muhamed Kudicpplications (e.g., recommending new restaurants for users). One of important phenomena in the POI recommendation community is the ., which makes deep impact on the quality of recommendation. Existing works have proposed various models to alleviate the bottleneck of the data sparsity, and most of the作者: innate 時(shí)間: 2025-3-27 13:44
predicting the emotional expressions of human beings have been widely studied in academic communities and applied in commercial systems. However, most of the existing methods focus on single-label sentiment analysis, which means that only an exclusive sentiment orientation (negative, positive or ne作者: CHIP 時(shí)間: 2025-3-27 19:21
Muhamed Kudic predicting the emotional expressions of human beings have been widely studied in academic communities and applied in commercial systems. However, most of the existing methods focus on single-label sentiment analysis, which means that only an exclusive sentiment orientation (negative, positive or ne作者: 最初 時(shí)間: 2025-3-27 22:37
Muhamed Kudiccial influences in social networks can benefit many applications, such as social recommendation and social marketing. In this paper, we focus on the problem of predicting users’ social influences on upcoming events in EBSNs. We formulate this prediction problem as the estimation of unobserved entrie作者: molest 時(shí)間: 2025-3-28 02:31 作者: 大量殺死 時(shí)間: 2025-3-28 09:31
Muhamed Kudicns to test lifestyle and pharmacologic interventions that may slow disease progression. However, the massive medical data have the following characteristics: real-time, high frequency, multi-source, heterogeneous, complex, random and personality. All of these factors make it very difficult to detect作者: 有毛就脫毛 時(shí)間: 2025-3-28 13:13 作者: inchoate 時(shí)間: 2025-3-28 17:28
Muhamed Kudicoduce fuzzy textures and distorted structures due to ignoring the semantic relevance and feature continuity of the holes region. To address this challenge, we propose a detailed depth generation model (GS-Net) equipped with a Multi-Scale Gated Holes Feature Inpainting module (MG) and a Patch-wise Sp作者: 前奏曲 時(shí)間: 2025-3-28 22:01 作者: CT-angiography 時(shí)間: 2025-3-29 01:07 作者: 事情 時(shí)間: 2025-3-29 07:02 作者: 不規(guī)則 時(shí)間: 2025-3-29 10:28
Muhamed Kudicputational complexity associated with metric learning increases when the number of classes is very large. In this paper, a novel localized metric learning scheme is proposed for a large multi-class extremely imbalanced face database with an imbalance ratio as high as 265:1. The Histogram of Gradient作者: 有花 時(shí)間: 2025-3-29 13:39 作者: Nefarious 時(shí)間: 2025-3-29 18:10
Muhamed Kudicputational complexity associated with metric learning increases when the number of classes is very large. In this paper, a novel localized metric learning scheme is proposed for a large multi-class extremely imbalanced face database with an imbalance ratio as high as 265:1. The Histogram of Gradient作者: palpitate 時(shí)間: 2025-3-29 21:41
ideration not only the number of items in the transaction, but also the weight of these items, such as profit and price. Hence the computational complexity of this mining algorithm is higher than the traditional frequent pattern mining. Thus, one essential topic of this field is to reduce the search作者: Dorsal 時(shí)間: 2025-3-30 01:04 作者: JAMB 時(shí)間: 2025-3-30 06:15
Muhamed Kudicto cure a given symptom set. Previous methods primarily focus on modeling the interaction between symptoms (or diseases) and herbs without explicitly considering the syndrome information. As a result, these methods only capture the coarse-grained syndrome information. In this paper, we propose a new
