the proposal of student teaching information management conforms to the requirements of the times, which makes cloud platform technology and internet information processing particularly important. In order to keep up ...
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Recommendation systems based on collaborative filtering are widely used in many fields. Alternating Least Squares (ALS) in the Mlib Library is a distributed and parallel algorithm in Spark framework, which can solve t...
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ISBN:
(数字)9783030947637
ISBN:
(纸本)9783030947637;9783030947620
Recommendation systems based on collaborative filtering are widely used in many fields. Alternating Least Squares (ALS) in the Mlib Library is a distributed and parallel algorithm in Spark framework, which can solve the problems of scalability and speedup in a limited hardware resources of stand-alone systems. However, it does not consider the influence of the factor of time on the recommendation accuracy. Taking restaurant ratings as an example, this month ratings are more reliable than those from last year. thus, the motivation in our proposal re-scores ratings with different time weights. We improve ALS in its process of data preparation according to requirements on the structure of data input. Consequently, our improvement does not need to modify the main body of ALS. Experimental results validate effectiveness that our proposal outperforms the original ALS in recommendation accuracy.
In the era of deep learning, it's important to obtain enough qualified data for model training. For the labor-intensive and time-consuming characteristics of data collection and annotation, date augmentation has b...
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Image Change Detection is a process to identify the changes of two images of the same scene that were taken in different times. In this paper, we propose a novel change detection approach based on Fuzzy Restricted Bol...
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Recently, the study on model interpretability has become a hot topic in deep learning research area. Especially in the field of medical imaging, the requirements for safety are extremely high;Moreover, it is very impo...
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A multi-label classification method of short text based on similarity graph and restart random walk model is proposed. Firstly, the similarity graph is created by using data and labels as the node, and the weights on ...
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the exponential growth of mobile terminals and the explosion of data volume are promoting the continuous evolution of mobile communication network and also increasing the complexity of the system. Meanwhile, 5G system...
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ISBN:
(数字)9783030947637
ISBN:
(纸本)9783030947637;9783030947620
the exponential growth of mobile terminals and the explosion of data volume are promoting the continuous evolution of mobile communication network and also increasing the complexity of the system. Meanwhile, 5G system-level simulation also requires more complex operations and more data processing. Conventional system simulation platform based on CPU can not satisfy the computing power requirement of system-level simulation of 5G. For tremendously shorten the execution time, we proposed to develop the CPU-GPU based parallelization platform, which adopts Logistic Regression algorithm to optimizing the use of computational resources. Numerical results demonstrate the effectiveness in terms of reducing execution time and guaranteeing reliability of system-level simulation result in 5G scenarios.
Changes in engineering for development of product in the direction of increased complexity, more variants, and customer demand orientation stimulates implementation of advanced information technology in the form of vi...
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Changes in engineering for development of product in the direction of increased complexity, more variants, and customer demand orientation stimulates implementation of advanced information technology in the form of virtual space. For this reason, concept of integrated product model has been implemented in comprehensive descriptions for lifecycle management of product information. Communication between engineer and modeling procedure is a critical factor. the authors identified data orientation of the recent integrated product modeling as a barrier for more efficient communication on user interfaces of product modeling systems. As a possible contribution to development of solution for this problem in industrial professional modeling systems, they propose content oriented layers between human and data oriented models in this paper. Following this, integration issues in content oriented product model are discussed. Next, relevant functions and modeling techniques for the handling of modeled object information are introduced and evaluated. Finally, a method is shown for the propagation of changes initiated for modeled objects in their affect zones.
the Erasmus + Project "European diversity design for inclusive education" (EURODDIP-e), co-financed by the European Union, aims to provide education professionals withthe knowledge, tools and devices necess...
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Up to now a large number of approaches and algorithms about biometric recognition techniques have been developed and proposed in the literature in details. Relationships about biometrics have recently been studied in ...
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Up to now a large number of approaches and algorithms about biometric recognition techniques have been developed and proposed in the literature in details. Relationships about biometrics have recently been studied in the field by author research group. this paper presents a web based intelligent face mask prediction system based on artificial neural networks to predict faces from only fingerprint images. the aim of this study is to develop an online platform to be used by users, researchers or academics around the world. the results have been shown that the system can be used for live test through internet. the proposed web based system is successful to support and encourage researchers around the world to see and exercise this new concept in biometrics. the developed system predicts an appropriate face mask covering nose, eyes, ears and mouth from fingerprint images withthe help of an intelligent model.
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