Data-Driven Vehicle Rebalancing With Predictive Prescriptions in the Ride-Hailing System by Guo, Xiaotong, Wang, Qingyi, Zhao, Jinhua

“…First, the point-prediction-driven optimization framework involves predicting the future demand and then producing rebalancing decisions based on the predicted demand. Second, the data-driven optimization approaches directly prescribe rebalancing decisions from data. …”
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Multi-scale space smoothing and segmentation of range data for robot navigation by Tang, Fan

“…With the ideas of multi-scale filtering from image processing, an adaptive smoothing algorithm, with a model based mask, within a scale space framework is proposed for feature extraction from range data. This algorithm smoothes range data and segments it at the same time by translating a model based mask over the data. …”
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Optimized code design for constrained DNA data storage with asymmetric errors by Md. Noor-A-Rahim, Guan, Yong Liang, Shi, Zhiping, Gunawan, Erry, Poh, Chueh Loo, Deng, Li, Wang, Yixin

“…The simulation results show the better error performance of the proposed protograph LDPC codes over the conventional good codes and the codes used in the existing DNA data storage system. …”
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Metrics to relate COVID-19 wastewater data to clinical testing dynamics by Xiao, Amy, Wu, Fuqing, Bushman, Mary, Zhang, Jianbo, Imakaev, Maxim, Chai, Peter R., Duvallet, Claire, Endo, Noriko, Erickson, Timothy B., Armas, Federica, Arnold, Brian, Chen, Hongjie, Chandra, Franciscus, Ghaeli, Newsha, Gu, Xiaoqiong, Hanage, William P., Lee, Wei Lin, Matus, Mariana, McElroy, Kyle A., Moniz, Katya, Rhode, Steven F., Thompson, Janelle, Alm, Eric J.

“…Time lag and transfer function analysis showed that wastewater data preceded clinically reported cases in the first wave of the pandemic but did not serve as a leading indicator in the second wave, likely due to increased testing capacity, which allows for more timely case detection and reporting. …”
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What We Should Do Before the Social Bots Take Over: Online Privacy Protection and the Political Economy of Our Near Future by Graeff, Erhardt

“…Online privacy protection is already a fraught space, comprising varied and strong positions, and existing laws and regulations that are antiquated many times over by the rapid growth and innovation of the internet in recent decades. …”
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Forces on oscillating uniform and tapered cylinders in a crossflow by Hover, F. S., Techet, A. H., Triantafyllou, M.S.

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Digital keywords for China: perceptions and portrayals in English-language novels by Matthews, Graham, Cheung, Cally Hiu Tung

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Navigating data secrecy challenges: a study on cyberespionage intentions in the WFH era by Abu Samah, Irza Hanie, Sarip, Azlineer, Ishak, Ma Kalthum, Shaari, Roziana, A. Rahim, Nur Syafiqah, Abd. Rashid, Intan Maizura

“…In the contemporary landscape of remote work, the surge in cyberespionage poses unprecedented challenges to data secrecy. As organizations transition toward a work-from-home (WFH) paradigm, the traditional boundaries of secure office environments have blurred, rendering sensitive information more vulnerable than ever. …”

A review of high-speed rotating HP turbine heat transfer and cooling studies over the last decade in the Oxford Turbine Research Facility by Falsetti, C, Beard, PF, Cardwell, DN, Chana, KS

“…Over the last years, advanced experiments under engine-representative conditions have been performed in the Oxford Turbine Research Facility (OTRF) to obtain high-quality aerothermal data that are essential for developing novel cooling designs and for validating computational models. …”

Harnessing Instability Mechanisms in Airfoil Flow for Data-Driven Forecasting of Extreme Events by Barthel, Benedikt, Sapsis, Themistoklis P.

“…Finally, we show that relying solely on the statistics of the pressure and drag data for optimal sensor placement fails to improve model prediction over uniform or random sensor placement.…”
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Bit-error-rate analysis of UWB radio using BPSK modulation over inter-chip radio channels for wireless chip area networks by Chen, Zhiming, Zhang, Yue Ping, Hu, Ai Qun, Ng, Tung Sang

“…Furthermore, by including both thermal and switching noise as the dominant noise sources, it is found that a BER less than 10-6 is feasible for a link distance up to 252 mm at a data rate of up to 650 Mbps. Besides, the link margin analysis shows that a link margin of 28.22 dB could be obtained for the same distance and data rate.…”
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Detection of false data injection attacks in smart grid cyber-physical systems by Li, Beibei

“…One of the most critical security threats in smart grid CPSs lies in the high-profile false data injection (FDI) attacks, where attackers attempt to inject either fabricated measurement data to mislead power grid state estimation & bad data detection or tampered command data to misguide power management & control. …”
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Cloud Spark Cluster to analyse English prescription big data for NHS intelligence by Fernando, Sandra, Sowinski-Mydlarz, Viktor, Virdee, Bal Singh

“…Spark is a large-scale data processing engine that is at least a hundred times faster than the Hadoop big data processing engine. …”
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Autonomy Work: Personhood, Expertise, and Activism of Disabled AI Data Workers in China by Wu, Di

“…This dissertation examines the labor and life of disabled workers in China’s artificial intelligence (AI) data annotation programs. The study draws on 14 months of ethnographic fieldwork, conducted over three years, with disabled activists, disabled workers, employment advocates, tech company staff, and government officials. …”
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Physical unclonable function based solutions to unification of user, device and data authentication by Zheng, Yue

“…As the demand of providing more comprehensive protection across user, device and data for IoT applications is increasing, this research aims at developing new PUF solutions to unify device, data and user authentication with high security and efficiency. …”
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Investigations Into hyperspectral data analysis techniques for efficient monitoring of vertical hydroponic farms by Srinivasan, Nagarajan

“…The best ML models developed demonstrated early, stable, and consistent nutrient stress predictions over the plant growth periods, overcoming the challenges of handling complex HSI data and early stress detection. …”
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State of health estimation for lithium-ion batteries based on data driven techniques by Chee, Nigel Zachary

“…Due to the complex ageing mechanism of LIBs, this report presents a simple data-driven technique involving Gaussian Process Regression (GPR), which estimates the battery capacities using time-series voltage measurements over a period of galvanostatic operation. …”
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Data-driven ecological driving behaviour evaluation and green supply chain improvement by Zhou, Zhongcan

“…This dissertation delves into eco-driving evaluation and its crucial role in improving the green supply chain. Initially, over 3 million GPS trajectory data pieces were collected, enabling trip construction and feature extraction. …”
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Investigation of diverse cold air inlet configurations for Sun HPC data center by Liu, Zhao

“…The results are accomplished by using the commercial CFD software, ANSYS FLUENT, to simulate the thermal distribution and airflow around the server cabinets in the data center. The crucial problems are identified, such as over cooling ares at some parts of the data center and re-circulation of the hot air, and so on. …”
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Enhanced immersion two-phase liquid cooling thermal management for data centres by Loh, Aloysius Chuan Liang

“…Two phase liquid immersion cooling is the state-of-the-art cooling methodology that is garnering increasing attention in the data centres industry. This contemporary method of cooling can reshape the data centre industry if proven to be more effective than air cooling, the commonly employed method of cooling for data centres at present. …”
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