Schools food waste audit as the criteria for evaluating the quality of school meals by Anna V. Stol

“…As a result of the analysis of the accumulated experience of food waste audits and approaches to waste minimization, an algorithm for conducting an audit is proposed, which may have different goals depending on who conducts it. …”
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Application of Object Based Image Classification Using Orthophotos: A Case Study of the Van-Erciş Earthquake by Aslı Sabuncu, Filiz Sunar

“…In the segmentation phase, the multi-resolution algorithm was utilized. After doing different trials, the most suitable shape factor and compactness values were considered. …”
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A freely accessible, adaptable hollow-fiber setup to reproduce first-order absorption: illustration with linezolid cerebrospinal fluid pharmacokinetic data by N. Prébonnaud, A. Chauzy, N. Grégoire, C. Dahyot-Fizelier, C. Adier, S. Marchand, V. Aranzana-Climent

“…ABSTRACT The main objective of this study was to validate an algorithm and experimental setup to simulate first-order absorption pharmacokinetic profiles without altering the standard in vitro hollow-fiber infection model (HFIM). …”
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Energy Minimization for Federated Learning Based Radio Map Construction by Fahui Wu, Yunfei Gao, Lin Xiao, Dingcheng Yang, Jiangbin Lyu

“…Finally, the simulation results show that our proposed algorithm can reduce the total energy consumption by nearly 38%, compared to the standard FL algorithm.…”
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Power Line Polarimetric Imaging by Helicopter Radars: Modeling and Experimental Validation by Masha Bortsova, Hlib Cherepnin, Volodymyr Kosharskyi, Volodymyr Ponomaryov, Anatoliy Popov, Sergiy Sadovnychiy, Beatriz Garcia-Salgado, Eduard Tserne

“…The effectiveness of the proposed algorithm was tested using computer modeling methods. …”
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Terms of use of judicial acts for machine learning (analysis of some judicial decisions on the protection of property rights) by E. I. Alekseevskaya

“…The purpose of this article is to discover whether the current Russian judicial decisions may serve as input data for a machine learning algorithm in future. The main results, scope of application. …”
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Robust Centroid Estimation Method with the Rough and Refined Estimation for Interplanetary Optical Navigation by Qichang Qiang, Baojun Lin, Yingchun Liu, Xia Lin

“…Next, we propose a refined estimation based on the hybrid genetic algorithm to precisely estimate the navigation observations. …”
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Energy-efficient and fast method on storage and querying in wireless sensor networks by PENG Shao-liang, LI Shan-shan, PENG Yu-xing, LIAO Xiang-ke, XIAO Nong

“…In order to make more practical, a localized data dissemination algorithm, called BubbleGeocast, is designed. It is made up of two components: adaptive accurate data diffusion in real-time and rejection-based uniform data diffusion. …”
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On the Designing of Model Checkers for Real-Time Distributed Systems by D. Yu. Volkanov, V. A. Zakharov, D. A. Zorin, I. V. Konnov, V. V. Podymov

“…In this paper we describe this conversion algorithm and prove that it is correct w.r.t. UPPAAL query language which is based on the subset of Timed CTL.…”
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Antenna Selection and Placement Analysis of MIMO Radar Networks for Target Localization by Bin Sun, Haowen Chen, Degui Yang, Xiang Li

“…Simulation examples are presented to demonstrate the effectiveness of the proposed algorithm compared with other criteria in different antenna configurations.…”
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A Developed Mathematical Model for Designing a Multilevel Sustainable Supply Chain Network Taking into Account Environmental Decisions by Mehrab Paydarfard, Roya Pirzadeh, Ali Ahmadi, Masoud Zohrabi, Farkhondeh Mortaz Hejri, Malek Hasan

“…In addition, the proposed model was optimized by the whale optimization algorithm (WOA) to find the best solution in large-scale instances in a short and reasonable time. …”
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Hyperhydration in Burn Patients: the Current State of the Issue by T. G. Spiridonova, E. A. Zhirkova, I. G. Borisov

“…The developed algorithm is effective for prevention of hyperhydration in burn patients and covered by an invention patent.…”
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Accounting for Indicators of Budget Expenditure for Long-term Obligations Authorization by V. S. Anzhenko

“…Since the budget legislation changes every year, new federal standards are implemented, modern information technologies are introduced, accounting (budget accounting) in the public institutions is constantly developing. …”
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Sentiment Analysis using Twitter Dataset by Ibrahim Moge Noor, Metin Turan

“…We perform Multi nominal naïve Bayes classifier algorithm to classify tweets documents. We split our dataset using k-folder validation since we had limited amounts of data, so to achieve unbiased prediction of the model. . …”
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The Effect of Real-time Headbox Adjustments on Data Quality by Pieter Blignaut

“…It was found that, for the specific camera model and tracking algorithm, one or two headbox adjustments per second, as would normally be the case during recording of human participants, could be tolerated in favour of a higher framerate. …”
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Research on the evolution of college online public opinion risk based on improved Grey Wolf Optimizer combined with LSTM model. by Chao Cao, Ziyu Li, Lingzhi Li, Fanglu Luo

“…Since the dissemination of information is more rapid and the scale of users on online platforms is enormous, the public opinion risk is more visible and harder to tackle for universities and authorities. …”
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Combined encryption method for CAN bus data based on periodic coupled processing by Wutao QIN, Peng WANG, Yufeng LI

“…In the intelligent connected age, CAN bus transmission faces the urgent demand of light weighted security encryption.Based on this, a fast response and high security CAN bus data encryption method was proposed.Since the 64 bit CAN packets were sent periodically, an online-offline block encryption algorithm coupled with message transmission cycle was proposed.In offline phase, the dynamic session key was generated by using advanced encryption standard.In online phase, the dynamic session key was used to quickly respond to encryption and decryption requests.The online computation delay was greatly reduced by the pre-encryption computation in offline phase, which helped achieving low latency and lightweight computation.At the same time, the ciphertext policy attribute based encryption was used to encrypt the block cipher.The access control policy made by the data sending OBU ensures that only the target OBU can decrypt the block cipher, so as to achieve targeted encryption.…”
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Modern technologies for hiding people's faces using object tracking based on YOLOv5 and DeepSort by А. Щур, О. Польшакова

“…This article provides a detailed overview of modern technologies and principles of tracking objects in video with assigning them unique elements. Since most video editors still leave most of the work to the user, it was decided to optimize this process. …”
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Training in Capsule Endoscopy: Are We Lagging behind? by Reena Sidhu, Mark E. McAlindon, Carolyn Davison, Simon Panter, Olaf Humbla, Martin Keuchel

“…Capsule endoscopy (CE) is a new modality to investigate the small bowel. Since it was invented in 1999, CE has been adopted in the algorithm of small bowel investigations worldwide. …”
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Optimization strategies in NOMA-based vehicle edge computing network by Jianbo DU, Nana XUE, Yan SUN, Jing JIANG, Shulei LI, Guangyue LU

“…Nowadays, vehicular network is confronting the challenges to support ubiquitous connections and vast computation-intensive and delay-sensitive smart service for numerous vehicles.To address these issues, non-orthogonal multiple access (NOMA) and mobile edge computing (MEC) are considered as two promising technologies by letting multiple vehicles to share the same wireless resources, and the powerful edge computing resources were adopted at the edge of vehicular wireless access network respectively.A NOMA-based vehicular edge computing network was studied.Under the condition of guaranteeing task processing delay, the joint optimization problem of task offloading, user clustering, computing resource allocation and transmission power control was proposed to minimize the task processing cost.Since the proposed problem was difficult to solve, it was divided into sub-problems, and a low-complexity and easy-to-implement method was proposed to solve it.The simulation results show that compared with other benchmark algorithms, the proposed algorithm performs well in minimizing costs.…”
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