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IIM is a peer reviewed international journal dedicated to the latest advancements of intelligent information management. The goal of this journal is to keep a record of the state-of-the-art research and promote the research work in these fast moving areas. All manuscripts must be prepared in English and are subject to…
Mai Xin, Zhifeng Ye, Changhua Chen, Yuhan Cai, Haili Ding, Ran Wang, Shiqian Wang
The information work in the hospital is very complicated. The amount of data is huge, and the forms are various. It is very troublesome to organize and find the data you need. In order to solve the problem, which often appears in the process of analyzing medi…
Xin Mai, Zhifeng Ye, Zhe Wei, Changhua Chen, Haili Ding, Ran Wang
In the field of medical equipment and equipment storage work, when we access accessories and equipment, due to the actual conditions, it causes low efficiency. It is often difficult to quickly and efficiently search by using simple data management software, s…
Zhiyuan Wu, Yang Mei
Standards and specifications are the premise of integrated reorganization of science specimen data, and data integration is the core of the reorganization. ETL [ 1 ] which is the abbreviation of extract, transform, and load [ 2 ], is very suitable for data in…
Mohammad Mustafa, Afag Salah Aldeen, Mohammed E. Zidan, Rihab E. Ahmed, Yasir Eltigani
Stemming is used to produce stem or root of words. The process is vital to different research fields such as text mining, sentiment analysis, and text categorization, etc. Several techniques have been proposed to stemming Arabic text and among them, Khoja and…
Jamilah A. Alokluk
This paper presents a review of the literature on the effectiveness of Blackboard system, its uses and limitations in information management and highlights the ongoing debate of it. A critical evaluation of Blackboard system literature reveals a good number o…
Yuezhexuan Zhu
A good machine learning model would greatly contribute to an accurate crime prediction. Thus, researchers select advanced models more frequently than basic models. To find out whether advanced models have a prominent advantage, this study focuses shift from o…
Shenghui Yang, Haomin Zhang
LightGBM is an open-source, distributed and high-performance GB framework built by Microsoft company. LightGBM has some advantages such as fast learning speed, high parallelism efficiency and high-volume data, and so on. Based on the open data set of credit c…
Haoji Xu
Generative Models have been shown to be extremely useful in learning features from unlabeled data. In particular, variational autoencoders are capable of modeling highly complex natural distributions such as images, while extracting natural and human-understa…
Yinxuan Fu
With the boost of artificial intelligence, the study of neural network intrigues scientists. Artificial neural network, which was first designed theoretically in 1943 based on understanding of human brains, demonstrated impressing computational and learning c…
Hisako Orimoto, Akira Ikuta
In the real sound environment, the observation data are usually contaminated by additional background noise of arbitrary distribution type. In order to estimate several evaluation quantities for specific signal based on the observed noisy data, it is fundamen…
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IIM is a peer reviewed international journal dedicated to the latest advancements of intelligent information management. The goal of this journal is to keep a record of the state-of-the-art research and promote the research work in these fast moving areas. All manuscripts must be prepared in English and are subject to… All articles are open access under a CC BY 4.0 licence, with authors retaining copyright.
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