Fast Physical Random Bit Generation Based on a Broadband Chaotic Entropy Source Originated From a Filtered Feedback WRC-FPLD by Xi Tang, Guang-Qiong Xia, Can Ran, Tao Deng, Xiao-Dong Lin, Li Fan, Zi-Ye Gao, Gong-Ru Lin, Zheng-Mao Wu

“…Finally, by utilizing multi-bit post-processing method, PRBs is generated at a rate up to 240 Gbits/s, which can pass all the 15 NIST statistics tests and meet the strict criteria of the statistical bias and the serial correlation coefficient.…”
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Optimization Of Shell And Tube Cycle Recuperator Design In Organic Rankine Geothermal Power Plant by Muhammad Rifqi Dwi Septian

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Generalizable Solar Irradiance Prediction for Battery Operation Optimization in IoT-Based Microgrid Environments by Ray Colucci, Imad Mahgoub

“…A shift towards renewable energy sources, particularly solar power, is underway, though these sources face challenges due to their inherent intermittency. …”
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A new approach for monitoring spatial and temporal changes in forest types in subtropical regions with sample migration and multi-source remote sensing data by Pengfei Zheng, Dongyang Han, Jiang Liu, Bin Xu, Panfei Fang, Shaodong Huang, Wendou Liu, Shaozhi Chen

“…We then conducted a change detection analysis using a post-classification comparison method. We propose a novel workflow for processing ground survey data to generate stable reference samples, which are then used with a transfer learning approach to construct a multi-year sample library. …”
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Reducing the Break-even Time by Smart Power Managing in Data Center with Renewable Energy by somayyeh taheri, Maziar Goudarzi

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Predicting carbon dioxide emissions using deep learning and Ninja metaheuristic optimization algorithm by Anis Ben Ghorbal, Azedine Grine, Ibrahim Elbatal, Ehab M. Almetwally, Marwa M. Eid, El-Sayed M. El-Kenawy

“…Experimental results also demonstrate that the proposed NiOA-DPRNNs framework gets the highest value of R2 (0.9736), lowest error rates and fitness values than other existing models and optimization methods. From the Wilcoxon and ANOVA analyses, one can approve the specificity and consistency of the findings. …”
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APPLICATION OF MATHEMATICAL MODELING OF THE AIRCRAFT STRUCTURES STRESS STATE TO OPTIMIZE CORROSION DAMAGE REMOVAL by D. P. Saidzhanov, V. V. Efimov

“…However, it is impossible to refuse the removal of corrosion damage, but it is possible to optimize the stripping area parameters. The purpose of this paper is to solve the problem by applying mathematical modeling of the aircraft structures stress state by using open source software based on a finite element method (FEM). …”
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Auto regressive neural network-driven reliability optimization in base-isolated building design by John Thedy, Kuo-Wei Liao, Taeyong Kim

“…Trained on various ground motions and Nonlinear Time History Analysis (NLTHA) data, the ARNN produces full response histories, unlike prior methods focused solely on peak responses. A Single Degree of Freedom (SDOF) example demonstrates ARNN accuracy, and a four-story base-isolated building is used for a Reliability-Based Design Optimization (RBDO) case study. …”
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The Application of Graph Neural Networks in Power Systems from Perspective of Perception-Prediction-Optimization by Zhuo LI, Yinzhe WANG, Lin YE, Yadi LUO, Xuri SONG, Zhenyu ZHANG

“…Conventional data analysis methods for Euclidean space often exhibit poor performance and low accuracy when representing the topological structures relationship with multi-source heterogeneous and irregular characteristics. …”
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Proposals for the development of the system of taxation of transport tax (passenger car transport) by A. M. Terekhov

“…The article is devoted to the identification of ways to improve the system of taxation of transport tax on road transport in the Russian Federation, including the optimization of the current method of calculating the tax.Materials and methods. …”
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Optimization of the encapsulation of arazá pulp by spray drying: Physicochemical, morphological and in vitro digestion studies by Greilis Quintero-Gamero, Francis S. Sánchez-Garzón, Aureliano Rodríguez-Cortina, María Hernández-Carrión, Luz Stella Nerio

“…This study presents an optimized method to obtain microencapsulates from arazá pulp (not obtained before), with a great potential for the development of functional foods.…”
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TMBocelot: an omnibus statistical control model optimizing the TMB thresholds with systematic measurement errors by Xin Lai, Shaoliang Wang, Xuanping Zhang, Xiaoyan Zhu, Yuqian Liu, Zhili Chang, Zhili Chang, Xiaonan Wang, Xiaonan Wang, Yang Shao, Yang Shao, Jiayin Wang, Yixuan Wang

“…Given the unavoidable errors with current technologies, it is essential to adopt modeling methods to determine the optimal TMB-positive threshold. …”
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Optimization of extraction and enrichment process of cannabidiol from industrial hemp and evaluation of its bioactivity by Junkai Wu, Xiaomeng Zhang, Xiaoqing Liu, Zunlai Sheng, Zunlai Sheng, Jianping Hu, Feiyan Zhang

“…., a perennial dioecious herb renowned for its industrial applications, serves as the source of hemp. Cannabidiol (CBD), a non-psychotropic compound derived from industrial hemp, has garnered considerable interest due to its promising therapeutic potential.MethodsThe extraction parameters for CBD from industrial hemp were optimized using the Box-Behnken design and response surface methodology (RSM). …”
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Multi-Objective Majority–Minority Cellular Automata Algorithm for Global and Engineering Design Optimization by Juan Carlos Seck-Tuoh-Mora, Ulises Hernandez-Hurtado, Joselito Medina-Marín, Norberto Hernández-Romero, Liliana Lizárraga-Mendiola

“…The results obtained in this work show that the MOMmCA achieves comparable performance with the other metaheuristic methods, demonstrating its competitiveness for use in multi-objective problems. …”
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SYNTHESIS AND OPTIMIZATION OF CARBON NANOPARTICLES (C-DOTS) AS ABSORBER MATERIALS FOR SOLAR DISTILLATION APPLICATIONS by B. W. Nuryadin, U. Qulsum, E. C. S. Mahen, A. Y. Nuryantini, H. Aliah, Y. S. Perkasa

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Sparse signal transmission under lossy wireless links based on double process of compressive sensing by Peng SUN, Gui-nan LI, Lian-tao WU, Zhi WANG

“…In resource-limited wireless sensor networks,links with poor quality hinder its large-scale applications seriously.Thanks to the inherent sparse property of signals in WSN,the framework of sparse signal transmission based on double process of compressive sensing was proposed,providing an insight into a new way of real-time,accurate and energy-efficient sparse signal transmission.Firstly,the random packet loss during transmission under lossy wireless links was modeled as a linear dimension-reduced measurement process of CS (a passive process of CS).Then,considering that a large packet was often adopted in WSN for higher transmission efficiency,a random linear dimension-reduced projection (a simple source coding operation) was employed at the sender node (an active process of CS) to prevent block data loss.Now,the raw signal could be recovered from the lossy data at the receiver node using CS reconstruction algorithms.Furtherly,according to the theory of CS reconstruction and the formula of packet reception rate in wireless communication,the minimum compression ratio and the maximum packet length allowed were obtained.Extensive simulations demonstrate that the reliability of data transmission and its accuracy,the data transmission volume,the transmission delay and energy consumption could be greatly optimized by means of proposed method.…”
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Biosynthesis of Copper nanoparticles using bacterial supernatant optimized with certain agro-industrial byproducts by Abd-Elhalim, B.T., Gamal, R.F., Abou-Taleb, Kh.A., Haroun, A.A.

“…For the bacterial synthesis of CuNPs, optimization of the P. silesinsis strain A3 cell-free supernatant was carried out using seven agro-industrial residues, added to the basal medium as different carbon sources. …”
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Optimizing infrared drying of black soldier fly larvae for sustainable cricket feed production by Nuntawat Butwong, Sarawut Saenkham, Adisak Pattiya, Anuwat Saenpong, Chinnapat Turakarn, Aphichon Mungchu, Shenghua Hu, Sopa Cansee

“…As global demand for animal-derived protein surges, Black soldier fly larvae emerge as a promising sustainable feed source, particularly for cricket farming. This study investigated the infrared drying of whole larvae, exploring its potential as an efficient alternative to conventional drying methods for producing high-quality cricket feed. …”
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Time Synchronization Techniques in the Modern Smart Grid: A Comprehensive Survey by Yu Liu, Biao Sun, Yuru Wu, Yongxin Zhang, Jiahui Yang, Wen Wang, Naga Lakshmi Thotakura, Qian Liu, Yilu Liu

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Thermal Simulation in Wire Arc Additive Manufacturing of A 5356 Aluminium Single Track Deposited on 7108 Aluminium Substrate by Eman Shams, Noha Ramadan, Marwan Abdelwahed, Nahed ElMahallawy, Mohamed A Taha

“…To analyze these thermal effects, numerical simulation serves as a valuable investigative method. In this study, SIMUFACT-Welding software was used to model and simulate different parameters of WAAM process for producing aluminium single tracks. …”
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