17   Artículos

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en línea
Fanxing Li, Wei Yan, Fupin Peng, Simo Wang and Jialin Du    
The phase retrieval method based on random phase modulation can wipe out any ambiguity and stagnation problem in reconstruction. However, the two existing reconstruction algorithms for the random phase modulation method are suffering from problems. The s... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Wen-Jing Zhou, Caifu Zheng and Ting-Chung Poon    
We present a simple yet effective method, without the need for any additional recording of intensity maps or tremendous iterative computations, to recover reference-wave intensity resulting from the complex hologram acquired by quadrature phase-shifting ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Jong Woo Kim, Marc Messerschmidt and William S. Graves    
We present a supervised deep neural network model for phase retrieval of coherent X-ray imaging and evaluate the performance. A supervised deep-learning-based approach requires a large amount of pre-training datasets. In most proposed models, the various... ver más
Revista: AI    Formato: Electrónico

 
en línea
Jong Woo Kim, Marc Messerschmidt and William S. Graves    
We present a deep learning-based generative model for the enhancement of partially coherent diffractive images. In lensless coherent diffractive imaging, a highly coherent X-ray illumination is required to image an object at high resolution. Non-ideal ex... ver más
Revista: AI    Formato: Electrónico

 
en línea
Zhixin Li, Desheng Wen, Zongxi Song, Tuochi Jiang, Weikang Zhang, Gang Liu and Xin Wei    
Space target surveillance is a significant part of space defense, and is also important for maintaining national security. Imaging of the space targets is the direct method used to realize space target recognition. However, for long-range space targets, ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Loknath Adhikari, Zhien Wang     Pág. Page:587 - 611Abstrac
Revista: International Journal of Environment and Climate Change    Formato: Electrónico

 
en línea
Mohammed Amin Belarbi, Saïd Mahmoudi, Ghalem Belalem, Sidi Ahmed Mahmoudi and Aurélie Cools    
Indexing images by content is one of the most used computer vision methods, where various techniques are used to extract visual characteristics from images. The deluge of data surrounding us, due the high use of social and diverse media acquisition syste... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Yi-Peng Wei, Batuhan Arasli, Karim Banawan and Sennur Ulukus    
We consider the private information retrieval (PIR) problem from decentralized uncoded caching databases. There are two phases in our problem setting, a caching phase, and a retrieval phase. In the caching phase, a data center containing all the K files,... ver más
Revista: Information    Formato: Electrónico

 
en línea
Emilie Pietersoone, Jean Michel Létang, Simon Rit, Emmanuel Brun and Max Langer    
X-ray phase-contrast imaging (XPCI) is a family of imaging techniques that makes contrast visible due to phase shifts in the sample. Phase-sensitive techniques can potentially be several orders of magnitude more sensitive than attenuation-based technique... ver más
Revista: Instruments    Formato: Electrónico

 
en línea
Nagwan M. Abdel Samee    
Hepatitis C virus (HCV) is one of the most dangerous viruses worldwide. It is the foremost cause of the hepatic cirrhosis, and hepatocellular carcinoma, HCC. Detecting new key genes that play a role in the growth of HCC in HCV patients using machine lear... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Hanmeng Wu, Jun Wang, Ziyi Zhang, Xudong Chen and Zheng Zhu    
A multi-image encryption with super-large-capacity is proposed by using spherical diffraction and filtering diffusion. In the proposed method, initial images are processed sequentially by filtering diffusion and chaos scrambling. The images are combined ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Nina Rizun, Yurii Taranenko and Wojciech Waloszek    
The research presents the methodology of improving the accuracy in sentiment classification in the light of modelling the latent semantic relations (LSR). The objective of this methodology is to find ways of eliminating the limitations of the discriminan... ver más
Revista: Information    Formato: Electrónico

 
en línea
P. ERNEST RAJ,P. C.S. DEVARA,S. K. SAHA,S. M. SONBAWNE,K. K. DANI,G. PANDITHURAI,A. R. MURTHY    
Multi-channel sun photometer observations of precipitable water content (PWC) in the near-infrared band over a tropical Indian station, Pune, during the period May 1998-May 2006 have been used to investigate temporal and seasonal variations. Precipita... ver más
Revista: Atmósfera    Formato: Electrónico

 
en línea
Paolino Di Felice and Michele Iessi    
The effectiveness of disaster response depends on the correctness and timeliness of data regarding the location and the impact of the event. These two issues are critical when the data come from citizens? tweets, since the automatic classification of dis... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Fawaz Alanazi and Taoufik Yeferny    
Peer-to-peer (P2P) systems have offered users an efficient way to share various resources and access diverse services over the Internet. In unstructured P2P systems, resource storage and indexation are fully distributed among participating peers. Therefo... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Robert A. N. de Oliveira and Methanias C. Junior    
Stemming algorithms are commonly used during textual preprocessing phase in order to reduce data dimensionality. However, this reduction presents different efficacy levels depending on the domain that it is applied to. Thus, for instance, there are repor... ver más
Revista: Information    Formato: Electrónico

 
en línea
Hafiz Suliman Munawar, Siddra Qayyum, Fahim Ullah and Samad Sepasgozar    
Big data is the concept of enormous amounts of data being generated daily in different fields due to the increased use of technology and internet sources. Despite the various advancements and the hopes of better understanding, big data management and ana... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

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