Googling Patients by Emily Beer

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Cuerpo, dictadura y memoria: visualizaciones de la violencia a través de la performance de Carlos Leppe by Marcy Campos Pérez

“…In a moment where the relationship between body and violence is crucial, body art gets a notoriously contextual role and representative of this experience. …”
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Time synchronization algorithm based on mobility model for underwater sensor networks by qiang WANGHui, xiu WENXiu, yu LINJun, sheng FENGGuang, wu LYUHong

“…The experiment results show that MM-sync can reduce the consumption of energy, and can get higher accuracy than state-of-art solutions in high density underwater sensor networks with rapid movement.…”
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An Adaptive Image Inpainting Method Based on Continued Fractions Interpolation by Lei He, Yan Xing, Kangxiong Xia, Jieqing Tan

“…The experimental results showed that the proposed algorithm had better visual effect and higher Peak Signal to Noise Ratio compared with the state-of-the-art methods.…”
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Records Keeping and Performance of Small Scale Businesses in Bushenyi District: A Case Study of Bushenyi Town Council. by Allen, Natunkunda

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The Effect of Electronic Record Management Systems and Service Delivery in Records Centers. A Case Study of Kabale District Registry by Immaculate, Akahunzire

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Head Teachers’administrative Practices and Students’ Discipline in Selected Secondary Schools in Rushenyi County, Ntungamo District by Alex, Muganda Byaruhanga

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Motion Deblurring in Image Color Enhancement by WGAN by Jiangfan Feng, Shuang Qi

“…After a lot of experiments, we get an effective configuration scheme. The best model trained for about one week has achieved state-of-the-art performance in both deblurring and enhancement. …”
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The Contribution of Archives Management in the Performance of Local Government Central Registry, Rwanda. by Judith, Uwamwezi

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ARTIFICIAL INTELLIGENCE AS A METHODOLOGICAL INNOVATION IN THE TRAINING OF FUTURE DESIGNERS: MIDJOURNEY TOOLS by Ivan M. Tsidylo, Chele Esteve Sendra

“…A survey of art students was conducted regarding the formation of a description of the proposed images. …”
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Automated class diagram elicitation using intermediate use case template by Shweta, Ratna Sanyal, Bibhas Ghoshal

“…However, such a restriction negatively affects the software developers as they get restricted to working with only limited templates. …”
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Alliance between the right to identity and the right to family life as a constitutional/conventional basis to rethink adoption in a contemporary key by Marisa Herrera

“…For the purposes of this interpellative task, we are encouraged to get into the ring and thus dispute this centrality in light of the development of the right to family life, taking arts as a starting point. 17 of the ACHR and 8 of the ECHR with the consequent dynamic interpretation carried out by the Inter-American Court of Human Rights and the European Court of Human Rights. …”
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Combined Diagnosis of PD Based on the Multidimensional Parameters by Mohammad Heidari

“…Diagnose signals are found with the method based on information fusion and semisupervised learning for HFC PD, adaptive mutation parameters of particle entropy for ultrasonic signals, and IIA-ART2A neural network for UHF signals. In addition, integrate the diagnostic results, which are the probability of fault of various defects and matrix, of different PD diagnosis signals, and analysis with Sugeno fuzzy integral to get the final diagnosis.…”
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An Assessment of Socio-Economic Factors explaining Pupil Dropout in UPE Schools of Nyabihoko Sub- County, Ntungamo District by Abert, Musinguzi

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Crowd abnormal behavior detection based on motion similar entropy by Fei LI, Ken CHEN, Meng LI, Chunmei GUO

“…It is an important research content of graphic processing in the field of intelligent video surveillance to detect abnormal events.An algorithm based on entropy of motion similarity (EMS) to detect abnormal behavior was proposed.Based on the optical flow algorithm,taking the bottom flow block as the basic unit to get the scene motion information,according to the concept of social network model,the construction scene of the motion network model (MNM) was proposed,the division of the scene particles motion similarity was completed,and the distribution EMS of MNM was calculated in the time domain.Finally,the obtained image entropy was compared with the reasonable threshold,to determine whether abnormal behavior occured.Experimental results indicate that the proposed algo-rithm can detect abnormal behavior effectively and show promising performance while comparing with the state of the art methods.…”
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Survey on the visualization technologies of threatening security data in cyber space by Fan ZHANG, Fan XIE, Jie JIANG

“…With the rapid development of the cyber threatening methods,the requirements of network security data analysis become more and more imperative.Data visualization has already evolved as a requisite tool among all kinds of data analysis theory framework and applications,especially in the fields of scientific computation,business intelligence and cyber security.Threatening security data visualization provides various effective interaction means which improve the perception ability for the cyber security specialists to get a distinctive insight into the large amount of complicated cyber security problems.The state-of-art cyber security data visualization technologies were introduced.Some existing problems that were still challenging research topics were investigated.Some directions for future studies were outlined.…”
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Unsupervised Hyperspectral Denoising Based on Deep Image Prior and Least Favorable Distribution by Keivan Faghih Niresi, Chong-Yung Chi

“…Moreover, in a practical scenario, HSIs may get contaminated by different kinds of noises such as Gaussian and/or sparse noise. …”
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Distributed nearneighbor search algorithm based on real-time traffic information in dynamic road network by Chen YE, Zhen-yu YANG, Jian YU, Qi LONG

“…A novel distributed near neighbor search algorithm that makes use of real-time traffic information is presented.The geographic information are stored in the nearest smart camera using Voronoi partition,and cameras are located in the intersection.The intersection unimpeded degree is modeled and the time which vehicle travel between adjacent intersec-tions is estimated.When a vehicle search for some near neighbors,smart cameras set a delay to broadcast the near neighbor search packet based on the traffic parameters collected by smart camera networks.In this way,the near neighbor search packet can be transmitted according to current road conditions.Thus get the path to near targets quickly and effec-tively.Extensive experiments are londucted on real data sets,and the results show that proposed algorithm is efficient and scalable to large number of concurrent query,significantly outperforming state-of-the-art methods.…”
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Robust Visual Tracking with Discrimination Dictionary Learning by Yuanyun Wang, Chengzhi Deng, Jun Wang, Wei Tian, Shengqian Wang

“…Based on the learnt dictionary, we can get a more stable representation for target candidates. …”
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The Sparsity Adaptive Reconstruction Algorithm Based on Simulated Annealing for Compressed Sensing by Yangyang Li, Jianping Zhang, Guiling Sun, Dongxue Lu

“…Our experimental results validate that the proposed algorithm outperforms existing state-of-the-art sparse reconstruction algorithms.…”
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