Robust Underwater Vehicle Pose Estimation via Convex Optimization Using Range-Only Remote Sensing Data by Sai Krishna Kanth Hari, Kaarthik Sundar, José Braga, João Teixeira, Swaroop Darbha, João Sousa

“…The proposed framework integrates three key components, each formulated as a convex optimization problem. First, we introduce a robust calibration function that unifies multiple sources of measurement error—such as range-dependent degradation, variable sound speed, and latency—by modeling them through a monotonic function. …”
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Optimal dispatching of integrated agricultural energy system considering ladder-type carbon trading mechanism and demand response by Liai Gao, Fan Fei, Yuchen Jia, Peng Wen, Xianlong Zhao, Hua Shao, Tianle Feng, Limin Huo

“…Finally, the model is solved by CPLEX, and the coupling system of a 6-node power distribution network, a 6-node gas network, and a 4-node heat supply network is used to verify the effectiveness of the proposed model and method and optimize the operation of the integrated agricultural energy system.…”
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Noise Analysis and Suppression Methods for the Front-End Readout Circuit of a Microelectromechanical Systems Gyroscope by Chunhua He, Yingyu Xu, Xiaoman Wang, Heng Wu, Lianglun Cheng, Guizhen Yan, Qinwen Huang

“…Therefore, it is essential to analyze and suppress the noises in the key analog circuits, which are the main noise sources. This study presents an optimized front-end readout circuit and noise suppression methods. …”
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Gaussian Process Regression Total Nitrogen Prediction Based on Data Decomposition Technology and Several Intelligent Algorithms by WANG Yongshun, CUI Dongwen

“…Total nitrogen (TN) is one of the important indicators to reflect the degree of water pollution and measure the eutrophication status of lakes and reservoirs.To improve the accuracy of TN prediction,based on the empirical wavelet transform (EWT) and wavelet packet transform (WPT) decomposition technology,this paper proposes a Gaussian process regression (GPR) prediction model optimized by osprey optimization algorithm (OOA),rime optimization algorithm (ROA),bald eagle search (BES) and black widow optimization algorithm (BWOA) respectively.Firstly,the TN time series is decomposed into several more regular subsequence components by EWT and WPT respectively.Then,the paper briefly introduces the principles of OOA,ROA,BES,and BWOA algorithms and applies OOA,ROA,BES,and BWOA to optimize GPR hyperparameters.Finally,EWT-OOA-GPR,EWT-ROA-GPR,EWT-BES-GPR,EWT-BWOA-GPR,WPT-OOA-GPR,WPT-ROA-GPR,WPT-BES-GPR,WPT-BWOA-GPR models (EWT-OOA-GPR and other eight models for short) are established to predict the components of TN by the optimized super-parameters.The final prediction results are obtained after reconstruction,and WT-OOA-GPR,WT-ROA-GPR,WT-BES-GPR and WT-BWOA-GPR models based on wavelet transform (WT) are built.Eight models,including EWT-OOA-SVM based on support vector machine (SVM),the paper compares the unoptimized EWT-GPR,WPT-GPR models,and the uncomposed OOA-GPR,ROA-GPR,BES-GPR,and BWOA-GPR models.The models were verified by the monitoring TN concentration time series data of Mudihe Reservoir,an important drinking water source in China,from 2008 to 2022.The results are as follows.① The average absolute percentage error of eight models such as EWT-OOA-GPR for TN prediction is between 0.161% and 0.219%,and the coefficient of determination is 0.999 9,which is superior to other comparison models,with higher prediction accuracy and better generalization ability.② EWT takes into account the advantages of WT and EMD.WPT can decompose low-frequency and high-frequency signals at the same time.Both of them can decompose TN time series data into more regular modal components,significantly improving the accuracy of model prediction,and the decomposition effect is better than that of the WT method.③ OOA,ROA,BES,and BWOA can effectively optimize GPR hyperparameters and improve GPR prediction performance.…”
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An evaluation and optimization of nutrition, environmental footprint, and food waste in Italian primary school menus: a case study by Giorgia Vici, Debora Giustozzi, Dalia Camilletti, Silvia Zufolino, Laura Malandrino, Sofia Renzi, Stefania Pucciarelli, Silvia Vincenzetti, Luca Belli, Valeria Polzonetti

“…Methods This case study involves the nutritional assessment analysis of the canteen menus (the baseline and the revised one) to evaluate energy and macronutrient intake. …”
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Multi‐objective interval planning for 5G base station virtual power plants considering the consumption of photovoltaic and communication flexibility by Dawei Zhang, Xudong Cui, Changbao Xu, Shigao Lv, Lianhe Zhao

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Joint Classification of Hyperspectral and LiDAR Data via Multiprobability Decision Fusion Method by Tao Chen, Sizuo Chen, Luying Chen, Huayue Chen, Bochuan Zheng, Wu Deng

“…Finally, the four CPMs are fused via a multiprobability decision fusion method to obtain the optimal classification results. …”
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Research progress of main microflora and their roles during strong-flavor Baijiu Daqu fermentation by HE Xiaorong, ZHANG Qing, TANG Jiahuan, LIU Pei

“…In this paper, the main microbial sources in the fermentation process of strong-flavor (Nongxiangxing) Baijiu Daqu, the changes of microorganisms in different fermentation stages, the role of important functional microorganisms, and the methods of microbial community analysis were reviewed, in order to provide scientific basis for optimization of strong-flavor Daqu production process and improvement of Baijiu quality.…”
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Optimizing E-Commerce Selection Under Uncertainty: A New Framework for Decision-Making With Extended Fuzzy TOPSIS by Jency Leona Edward, Palanivel Kaliyaperumal

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Development of a highly sensitive reporter gene cell line for detecting estrogenic activity (the ER Isjaki assay) by Aline Colonnello Montero, Geeta Mandava, Agneta Oskarsson, Johan Lundqvist

“…Monitoring of estrogens in water sources faces significant challenges, as proposed changes in the European Union regulation for environmental protection of water bodies, compromise the ability of conventional analytical methods to detect low concentrations of estrogens. …”
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Calculation of spatial target coordinates in range-difference passive radars by the Levenberg – Marquardt method by A. A. Dmitrenko, S. Y. Sedyshev, Y. У. Kuleshov, A. A. Bogatyrev

“…Upon completing a comparative analysis of obtained characteristics and dependencies, we concluded that it is optimal to include four receiving points in a range-difference passive radar and use the Levenberg – Marquardt method to calculate the spatial coordinates of radio emission sources.…”
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New improvement ion exchange treatment method for drinking water in Juybar City, Iran by Yasin Nasrollahi, Mojtaba Khoshravesh, Ghasem Aghajani Mazandarani

“…Abstract Due to the high cost of water refinement by chemicals, refinement is very important with low-cost methods. By promoting for cost-effective strategies, communities and regions can enhance their ability to address the increasing need for clean water while reducing the financial burden associated with traditional chemical treatments. …”
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Strategic Deployment of a Single Mobile Weather Radar for the Enhancement of Meteorological Observation: A Coverage-Based Location Problem by Bikram Parajuli, Xin Feng

“…Results demonstrate that exact solution methods are ideal when ample time is available for decision-making and optimal deployment locations are desired. …”
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Cross-domain topic transfer learning method based on multiple balance and feature fusion by Zhenshun Xu, Zhenbiao Wang, Wenhao Zhang, Zengjin Tang

“…Additionally, we introduce a topic knowledge distillation method, leveraging topics from the source domain to guide and optimize topic generation in the target domain. …”
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Methods of Protein Extraction from House Crickets (<i>Acheta domesticus</i>) for Food Purposes by Nair Cunha, Vanda Andrade, Antónia Macedo, Paula Ruivo, Gabriela Lima

“…Protein isolates have proven to be effective in enhancing this functionality and consumer acceptance, but existent protein extraction methods still lack improvements concerning the optimization of protein extraction rates. …”
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Logistic calibrated items (LCI) method: does it solve subjectivity in translation evaluation and assessment? by Alireza Akbari

“…This research paper introduces a model of translation evaluation called Logistic Calibrated Items method. The aim of LCI method is to maximize a translators’ performance and to identify top competent translators through detecting all parsing items within a source text. …”
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Investigation of Improved Methods in Power Transfer Efficiency for Radiating Near-Field Wireless Power Transfer by Hesheng Cheng, Huakun Zhang

“…By adjusting the phase difference between the two feeding sources, the maximum PTE can be obtained at the optimal phase difference. …”
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Converter station selection method of urban VSC‐DC intertie for grid resilience enhancement by Mingyang Li, Kaiqi Sun, Ke‐Jun Li, Yang Liu, Ge Cao, Shuxin Song, Yuanyuan Sun

“…This paper proposes a novel converter station site selection method to identify optimal connection points in urban grids, enabling efficient active power transfer while providing flexible active and reactive power support in interconnected urban areas. …”
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An Inverse Transient Nonmetallic Pipeline Leakage Diagnosis Method Based on Markov Quantitative Judgment by Yongmei Hao, Yifei Ma, Juncheng Jiang, Zhixiang Xing, Lei Ni, Jian Yang

“…Finally, the objective function was optimized in conjunction with the sequential quadratic programming (SQP) method to obtain the actual leakage parameters and calculate the size and location of the leakage source. …”
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Development of a method for automated 5G and beyond network slices penetration testing by Roman Odarchenko, Maksim Iavich, Alla Pinchuk

“…The tasks to be solved are as follows: 1) to analyze existing penetration testing methods of 5G and beyond networks and research in this area; 2) to develop a new method for automated 5G and beyond network slices penetration testing; 3) to design and implement the methodology in the form of software for virtualize environments; 4) to develop a 5G test network architecture based on open-source solutions and methodology of experiments conducting; 5) to test and validate the solution effectiveness in detecting vulnerabilities and simulating realistic attack scenarios in the 5G test network environment. …”
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