Dynamic driving in seaports: Current and future applications by Julian Neugebauer, Leonard Heilig, Stefan Voß

“…Data from the project is used to specifically examining the application of dynamic driving for SCs. …”
Get full text

Application of an Improved CHI Feature Selection Algorithm by Liang-jing Cai, Shu Lv, Kai-bo Shi

Get full text

Towards the Application of GraphRAG to Network Security by Marco Carvalho, Fitzroy Nembhard, Dhanish Mehta

Get full text

Low latency Montgomery multiplier for cryptographic applications by khalid javeed, Muhammad Huzaifa, Safiullah Khan, Atif Raza Jafri

Get full text

Artificial intelligence in the food industry: innovations and applications by Hang Yang, Wenxuan Jiao, Lingyun Zouyi, Hongli Diao, Shibin Xia

“…Advanced ML models are employed to analyze production data, monitor quality parameters, and predict shelf life, ensuring compliance with stringent regulatory standards. …”
Get full text

Data science applied to the assessment of biological variation estimates by Marques-Garcia Fernando, Nieto-Librero Ana, Gonzalez-García Nerea, Tejedor-Ganduxé Xavier, Martinez-Bravo Cristina

“…In the clinical laboratory, the multiple applications of data science include the development of algorithms for obtaining population-based reference intervals or biological variation (BV) estimates. …”
Get full text

Linguistic Summarization and Outlier Detection of Blended Learning Data by Pham Dinh Phong, Pham Thi Lan, Tran Xuan Thanh

“…The linguistic summarization of data is one of the study trends in data mining because it has many useful practical applications. …”
Get full text

Medical Data over Sound—CardiaWhisper Concept by Radovan Stojanović, Jovan Đurković, Mihailo Vukmirović, Blagoje Babić, Vesna Miranović, Andrej Škraba

“…Data over sound (DoS) is an established technique that has experienced a resurgence in recent years, finding applications in areas such as contactless payments, device pairing, authentication, presence detection, toys, and offline data transfer. …”
Get full text

Review of Big Data Implementation and Expectations in Smart Cities by Yingnan Zhuang, Jeremy Cenci, Jiazhen Zhang

“…This study reveals a downward trend despite research growth from 2015 to 2020, focusing on digital technology, smart city innovations, energy management and environmental applications, data security, and sustainable development. …”
Get full text

The Formation of Artificial Data based on a Conveyor Enterprise by A. V. Zaripov, R. S. Kulshin, A. A. Sidorov

“…These methods are often not applicable in situations where a large amount of data needs to be processed or in cases where efficiency is required. …”
Get full text

Efficient and configurable data transport protocol for grid computing by WANG Ji-gang1, GU Guo-chang1, MA Chun-guang1, ZHONG Wei-dong2

“…The demands of grid computing were difficulty satisfied by mainstream data transfer protocols at present.Considering the situation,an efficient and configurable data transfer protocol ECUDP for grid computing was proposed.ECUDP was based on standard UDP（user datagram protocol）,but with a collection of optimizations that met the chal-lenge of providing configurability and reliability while maintaining performance that met the communication require-ments of demanding applications.Experiment results show that ECUDP performs extremely efficiently in various grid computing scenarios and performance analytical model is able to provide good estimates of its performance.…”
Get full text

Bayesian Regression Analysis for Dependent Data with an Elliptical Shape by Yian Yu, Long Tang, Kang Ren, Zhonglue Chen, Shengdi Chen, Jianqing Shi

“…This paper proposes a parametric hierarchical model for functional data with an elliptical shape, using a Gaussian process prior to capturing the data dependencies that reflect systematic errors while modeling the underlying curved shape through a von Mises–Fisher distribution. …”
Get full text

Metropolitan Planning Organizations’ Uses of and Needs for Big Data by Ekin Ugurel, Xinhua Wu, Ryan Wang, Brian H. Y. Lee, Cynthia Chen

“…Big data products offer a new paradigm to understand and analyze human mobility patterns, a primary interest of long-range transportation planners. …”
Get full text

Collaborating Filtering Method Based on Multiple Data Sources by Fushun Ke, Xiaohui Yao

“…The highly efficient utilization of multiple data sources is a key challenge in big data applications.Based on the collaborative filtering recommendation，services pick consumption behaviors of similar clients by clustering to generate the recommendation list.Client clustering contains two units，one is preliminary clustering，and the other is synthetic clustering.Preliminary clustering use client-product score matrixes，telecommunication service identities，client network behaviors and etc.to calculate similarities.Synthetic clustering weights the abundance of data，and then completes the similarity calculation and client clustering.Adjustable weights of data validity were introduced to optimize the system on the basis of click rates and conversion rates of recommendation list.…”
Get full text

Parameter Estimation of ZZ Distribution Based on Censored Data by ZHANG Guo-zhi, ZHANG Ning

“…And based on censored data, the best linear unbiased estimation and the simple linear unbiased estimation of parameters were given. …”
Get full text

Where and how to house big data on small fragments by Daniel A. Erlanson, Stephen K. Burley, Daren Fearon, James S. Fraser, Dale Kreitler, Maria Cristina Nonato, Naoki Sakai, Jan Wollenhaupt, Manfred S. Weiss

“…While hundreds of crystallographic fragment-screening campaigns have been conducted in the last few years, most of the underlying data have neither been published nor made publicly accessible. …”
Get full text

On Reliable Transmission of Data over Simple Wireless Channels by Pawel Gburzynski, Bozena Kaminska, Ashikur Rahman

“…We discuss this issue in the context of one-way data transmission over simple wireless channels characteristic of many sensing and monitoring applications. …”
Get full text

Applicability of formulas for calculating differential renal depth by Luo Jin, Deng Wei, Cao Jiang, Tian Jia-li, Wang Ying, Wang Rong, Li Yan-mei, Zhao Qian, Yang Ji-qin, Li Juan

“…Objective To evaluate the applicability of differential renal depth calculation formulas for Chinese people and provide references for selecting renal depth calculation formulas.Methods The SPECT/CT data were analyzed retrospectively for 234 patients with glomerular filtration rate measured by renal dynamic imaging from May to December 2018.CT depth was measured as the standard, correlation, average difference and 1 cm error rate between six renal depth calculation formulas and CT measurements were compared.Results Strong correlations existed between estimated values of six formulas and measured values of CT.Data analysis showed that the correlation coefficient between Lee’s equation and CT measured values was better than that of the other five formulas, r=0.737 for left kidney and 0.750 for right kidney.The renal depth obtained by Lee’s equation was closest to that measured by CT and the difference was not statistically significant（left kidney mean deviation 0.03 cm, right kidney mean deviation 0.08 cm）.The 1 cm error rate of Tonnesen formula was the largest.And it was 54.70% for left kidney and 57.69% for right kidney.The 1 cm error rates of the other five formulas were tested by X2 test and there was no statistical difference（P>0.05）.Conclusions No significant difference exists between left and right kidney depth calculated by Lee’s equation and the measured value of CT.Its deviation range is small and it is better than the other five formulas.A wider clinical popularization is worthwhile.…”
Get full text

The Application of Machine Learning on Antibody Discovery and Optimization by Jiayao Zheng, Yu Wang, Qianying Liang, Lun Cui, Liqun Wang

Get full text