Attribute-based encryption scheme with efficient revocation in data outsourcing systems by Xi-xi YAN, Yong-li TANG

“…In order to support fine-grained attribute revocation in data outsourcing systems,an attribute-based encryption scheme with efficient revocation in indirect revocation model was proposed.The model of ABE supporting attribute revocation was given,and a concrete scheme was constructed which proved its security under the standard model.Compared to the existing related schemes,the size of ciphertext and private/secret key is reduced,and the new scheme achieves fine-grained and immediate attribute revocation which is more suitable for the practical applications.…”
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Evaluation of confirmatory data following the Article 12 MRL review for myclobutanil by European Food Safety Authority (EFSA), Giulia Bellisai, Giovanni Bernasconi, Luis Carrasco Cabrera, Irene Castellan, Monica delAguila, Lucien Ferreira, German Giner Santonja, Luna Greco, Samira Jarrah, Renata Leuschner, Andrea Mioč, Stefanie Nave, Ragnor Pedersen, Hermine Reich, Silvia Ruocco, Alessia Pia Scarlato, Marta Szot, Anne Theobald, Manuela Tiramani, Alessia Verani

“…Abstract The applicant Corteva Agriscience submitted a request to the competent national authority in Austria to evaluate the confirmatory data that were identified for myclobutanil in the framework of the MRL review under Article 12 of Regulation (EC) No 396/2005 as not available. …”
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Multimodal Data Mining Trends, Achievements, and Challenges: Systematic Literature Review by Bogdanel P. Constantin Gradinaru, Mirela Danubianu, Adina Luminita Barila

“…This paper aims to analyze state-of-the-art in multimodal data mining research through a systematic literature review. …”
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Flexible analysis of spatial transcriptomics data (FAST): a deconvolution approach by Meng Zhang, Joel Parker, Lingling An, Yiwen Liu, Xiaoxiao Sun

“…Most existing deconvolution methods rely on reference data (e.g., single-cell data), which may not be available in real applications. …”
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Data-driven prediction and design of bZIP coiled-coil interactions. by Vladimir Potapov, Jenifer B Kaplan, Amy E Keating

“…This approach can be used to make inhibitors of native proteins, or to develop novel peptides for applications in synthetic biology or nanotechnology.…”
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A data fusion based approach for damage detection in linear systems by Ernesto Grande, Maura Imbimbo

“…In particular, starting from classical indicators based on the change of the flexibility matrix and on the change of the modal strain energy, the proposed approaches consider two data fusion procedures both based on the Dempster-Shafer theory. …”
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A new statistical model for advanced modeling of cancer disease data

“…The practical utility of the GOBPW model is demonstrated through applications to three datasets: remission times of 132 bladder cancer patients (CD1), survival times of 73 acute bone cancer patients (CD2), and blood cancer data (CD3). …”
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SuperTac - tactile data super-resolution via dimensionality reduction by Neel Patel, Rwik Rana, Deepesh Kumar, Nitish V. Thakor

“…Experimental results demonstrate that texture classification accuracy improves by 17% when using super-resolved tactile data compared to raw sensor data. This significant enhancement in classification accuracy highlights the potential of SuperTac for applications in robotic manipulation, object recognition, and haptic exploration. …”
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Examining the Interplay Between Big Data and Microservices – A Bibliometric Review by Daniel Staegemann, Matthias Volk, Aamir Shakir, Erik Lautenschläger, Klaus Turowski

“…Due to the ever increasing amount of data that is produced and captured in today’s world, the concept of big data has risen to prominence. …”
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The analysis of Java ORM frameworks performance in terms of analytical data processing by Justyna Baran, Piotr Muryjas

“… The aim of this paper is to evaluate Java ORM frameworks in terms of analytical data processing. The analysis includes following technologies: Hibernate, Apache Cayenne, EclipseLink and DataNucleus. …”
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The Modified Weibull–Fréchet Mixture distribution for enhanced econometric data modelling by I. O. Akalagboro, C. O. Aronu

“…The study used secondary data to evaluate the performance of the distribution. …”
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Effect of Temporal Relationships in Associative Rule Mining for Web Log Data by Nazli Mohd Khairudin, Aida Mustapha, Mohd Hanif Ahmad

“…The advent of web-based applications and services has created such diverse and voluminous web log data stored in web servers, proxy servers, client machines, or organizational databases. …”
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Building Meteorological Backup Artillery Products: Leveraging Upper Air Data by David Sládek, Michal Šustr, Jan Ivan, František Hudec

“…Future research will focus on incorporating advanced modelling techniques and additional data sources to enhance the accuracy and applicability of these products.…”
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Variational Bayesian Quantile Regression with Non-Ignorable Missing Response Data by Juanjuan Zhang, Weixian Wang, Maozai Tian

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Large-scale foundation models and generative AI for BigData neuroscience by Ran Wang, Zhe Sage Chen

“…Here we present a mini-review on recent advances in foundation models and generative AI models as well as their applications in neuroscience, including natural language and speech, semantic memory, brain-machine interfaces (BMIs), and data augmentation. …”
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Optimal DMD Koopman Data-Driven Control of a Worm Robot by Mehran Rahmani, Sangram Redkar

“…First, data are obtained from the nonlinear model of the worm robot. …”
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Airport and flight recognition on optical remote sensing data by deep learning by Xin NIU, Yong DOU, Peng ZHANG, Yushe CAO

“…Airport and flight recognition are the typical remote sensing applications.For the big optical remote sensing data,deep learning techniques for airport and flight recognition have been studied.To this end,a seconds’ response airport and flight recognition system for optical remote sensing data was built.To obtain effective deep learning model with limited labeled samples,transfer learning approach has been employed.Prior knowledge has also been explored for efficient object proposal.To achieve real-time performance for such recognition with “large region and small targets”,a cascade framework of deep networks has been proposed.The results of experiments show that,by the proposed deep learning approaches,significant improvement on recognition accuracy could be achieved with seconds’ response.…”
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Joint inversion of transient electromagnetic and radiomagnetotelluric data for enhanced subsurface characterization by Ismael M. Ibraheem, Pritam Yogeshwar, Fereydoun Sharifi, Rainer Bergers, Bülent Tezkan

“…Abstract Joint inversion of geophysical data offers a robust means to improve the resolution and reliability of subsurface models, particularly when integrating methods with complementary depth sensitivities. …”
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Information Encryption and Hiding into an Image By Steganography Methods to Improve Data Security by Sefa Tunçer

“…Steganography is used widely data security applications. But there are stegoanalysis methods that provides obtaining hidden data. …”
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An analysis of pedestrian crossings through deep learning models and crash data by Lorenzo Mussone, Omar el Hassan

“…Additionally, 5-year pedestrian crash data are evaluated and linked to crosswalks when applicable. …”
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