Fluoride in Drinking Water and Nanotechnological Approaches for Eliminating Excess Fluoride by Ruwanthi W. Premathilaka, Nalinda D. Liyanagedera

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High-Performance Parallel Simulation of Airflow for Complex Terrain Surface by Kenji Ono, Takanori Uchida

“…The preliminary results of the meshing and computing performance show excellent scalability in the strong scaling test.…”
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Cooperative game based bandwidth allocation mechanism live migration of multiple virtual machines by Yong CUI, Yu-song LIN, Run-zhi LI, Zong-min WANG

“…In IaaS cloud computing platform, live migration of virtual machines plays a significant role in resource dy-namic dispatching and management. …”
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Edge intelligence empowered internet of vehicles: concept, framework, issues, implementation, and prospect by Kai JIANG, Yue CAO, Huan ZHOU, Xuefeng REN, Yongdong ZHU, Hai LIN

“…As an emerging inter discipline field, edge intelligence pushes AI to the side close to the traffic data source.Edge intelligence makes use of the computing power, storage resources, and perception ability of edge to provide a more intelligent and efficient resource allocation and processing mechanism while providing a real-time response, intelligent decision-making and network autonomy, realizing the critical leap for internet of vehicles from access “pipelining” to the intelligent enabling platform of information.However, the successful implementation of edge intelligence in internet of vehicles is still in its infancy, and there exists a demand for a comprehensive survey in this young field from a broader perspective.Based on this context of internet of vehicles, the background, concepts and key technologies of edge intelligence were introduced.Then, a holistic overview of service types based on internet of vehicles was taken, and the entire processes of model training and inference in edge intelligence were elaborated.Finally, to promote the potential research directions, the key open challenges of edge intelligence in the internet of vehicles were analyzed, and the coping strategies were discussed.…”
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Support Vector Machine (SVM) for Tomato Leaf Disease Detection by Shafaf Ibrahim, Nur Afiqah Mohd Fuad, Nor Azura Md Ghani, Raihah Aminuddin, Budi Sunarko

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Research on Hybrid Architecture Neural Networks for Time Series Prediction by Fujin Zhuang, Xiao Chen, Punyaphol Horata, Khamron Sunat

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ZK-STARK: Mathematical Foundations and Applications in Blockchain Supply Chain Privacy by Arade Madhuri S., Pise Nitin N.

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Tunable wideband microwave photonic phase shifter and true time delay using a waveguide bragg grating by Zahra Nasehi, S. Esmail Hosseini

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An acoustic microscope for microflaw inspection and subsurface imaging by J. Litniewski

“…The microscope works in the frequency range of 20-70 MHz where images are created on the computer monitor screen or printed out using a video copy processor. …”
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Generative AI in construction risk management: a bibliometric analysis of the associated benefits and risks by Mohamed Abdelwahab Hassan Mohamed, M.K.S. Al-Mhdawi, Udechukwu Ojiako, Nicholas Dacre, Abroon Qazi, Farzad Rahimian

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Exploration of Intelligent Manufacturing Methods for Complex Products Driven by Multisource Data by Lei Zhang

“…In order to improve the multisource data-driven fusion effect in the intelligent manufacturing process of complex products, based on the proposed adaptive fog computing architecture, this paper takes into account the efficient processing of complex product intelligent manufacturing services within the framework and the rational utilization of fog computing layer resources to establish a fog computing resource scheduling model. …”
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Monolithically integrated asynchronous optical recurrent accelerator by Bo Wu, Haojun Zhou, Junwei Cheng, Wenkai Zhang, Shiji Zhang, Chaoran Huang, Dongmei Huang, Hailong Zhou, Jianji Dong, Xinliang Zhang

“…This innovation enables the efficient processing of large-scale parallel signals and positions optical processors as a pivotal technology for applications such as autonomous driving and intelligent robotics.…”
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Analysis of GPR Wave Propagation Using CUDA-Implemented Conformal Symplectic Partitioned Runge-Kutta Method by Hongyuan Fang, Jianwei Lei, Man Yang, Ziwei Li

“…For forward modeling of large sizes and fine structures, numerical accuracy and computational efficiency are not high, due to the stability conditions and the dense grid number. …”
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Transformer-Guided Serial Knowledge Distillation for High-Precision Anomaly Detection by Danyang Wang, Bingyan Wang

“…Unsupervised anomaly detection (AD) remains a notable challenge in computer vision research, due to the inherent absence of annotated anomalous data and the unpredictable nature of anomaly manifestations. …”
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Mitigating Shrinkage and Enhancing the Structure of Thermally Insulating Starch Aerogel via Solvent Exchange and Chitin Addition by Jacob Staker, Gracie M. White, Sevinch Pasilova, Daniel A. Scheiman, Haiquan Guo, Andres Tovar, Amanda P. Siegel

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Imaging Multidimensional Therapeutically Relevant Circadian Relationships by Jamil Singletary, Patricia A. Wood, Jovelyn Du-Quiton, Song Wang, Xiaoming Yang, Shobhit Vishnoi, William J. M. Hrushesky

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Verification of numerical methods and mathematical model developed for simulation of radionuclides migration in natural disperse environments by P. K. Shalkevich, S. P. Kundas

“…Simulation of radionuclides vertical migration was successfullyimplemented in the first versions of SPS  (Simulation  of  Processes  in  Soil)  software  and  was  based  on a  numerical  solution  of  the  mathematical model  of  interconnected  heat  and  moisture  transfer  in  one  dimension.  …”
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Ready, set, …rollout? – The role of heterogeneous actors and proximities in the delayed smart meter rollout in Germany by Sabrina Paustian, Julia Köhlke, Jannika Mattes, Sebastian Lehnhoff

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Machine learning reveals distinct gene expression signatures across tissue states in stony coral tissue loss disease by Kelsey M. Beavers, Daniela Gutierrez-Andrade, Emily W. Van Buren, Madison A. Emery, Marilyn E. Brandt, Amy Apprill, Laura D. Mydlarz

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Mimicking Axon Growth and Pruning by Photocatalytic Growth and Chemical Dissolution of Gold on Titanium Dioxide Patterns by Fatemeh Abshari, Moritz Paulsen, Salih Veziroglu, Alexander Vahl, Martina Gerken

“…These findings demonstrate the potential of this approach to emulate dynamic biological processes, paving the way for future applications in adaptive neuromorphic systems.…”
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