A New Optimization Approach for Maximizing the Photovoltaic Panel Power Based on Genetic Algorithm and Lagrange Multiplier Algorithm by Mahdi M. M. El-Arini, Ahmed M. Othman, Ahmed Fathy

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Automatic in-situ radiometric calibration for mobile laser scanning: Compensating for distance and angle of incidence effects by H. Laasch, T. Medic, A. Wieser

“…We use machine learning for point cloud semantic segmentation with additional instance segmentation to automatically obtain a material proxy segment. …”
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How to Authenticate a Device? Formal Authentication Models for M2M Communications Defending against Ghost Compromising Attack by Wei Ren, Linchen Yu, Liangli Ma, Yi Ren

“…In Machine-to-Machine (M2M) communications, authentication of a device is of upmost importance for applications of Internet of Things. …”
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Topology Unveiled: A New Horizon for Economic and Financial Modeling by Yicheng Wei, Junzo Watada, Zijin Wang

“…By collecting abundant literature indexed in SCOPUS/WoS and other famous databases, with a qualitative analysis to classify and summarize it, we found that topological methods were introduced to modern economics when dealing with dynamic optimization, functional analysis, and convex programming problems, including famous applications such as uncovering equilibrium with fixed-point theorems in Walrasian economics. …”
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Combine soybean harvesting performance with grain loss distribution by Sagar Regmi, William Rexroad, Timothy Lecher, Cody M. Allen

“…Additionally, by measuring combine loss across the harvest width, the presented work characterizes distributions of the grain losses for each machine. Producers and researchers often use single-point measurements to assess grain loss or compare combines. …”
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Kriging Metamodeling in Rotordynamics: Application for Predicting Critical Speeds and Vibrations of a Flexible Rotor by J.-J. Sinou, L. Nechak, S. Besset

“…The basic idea of kriging is to predict unknown values of a function by using a small size set of known data. The kriging estimation is based on a weighted average of the known values of the function in the neighborhood of the point for which the value of the function has to be calculated. …”
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Numerical model of the pneumatic diaphragm actuator by Aleksandr Kovalenko

“…The key point of the investigation was development of the diaphragm model and its key parameter - effective area. …”
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Forecasting monthly residential natural gas demand in two cities of Turkey using just-in-time-learning modeling. by Burak Alakent, Erkan Isikli, Cigdem Kadaifci, Tonguc S Taspinar

“…For each test point, a kernel function, tailored for the NGD predictions, is used in GPR to predict the query point. …”
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Features of simulation of operator control of unmanned aerial vehicle and its target load by P. I. Savelov, Penghao Gu, A. A. Lobaty

“…As a typical example of a human-machine control system, the ground control point of the multifunctional unmanned aerial complex “Busel” is considered, which includes two workplaces for the UAV control operator and the target load control operator, which is considered equipment designed to monitor objects located on the earth’s surface…”
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COMPARATIVE RESEARCH REGARDING THE DESIGN AND THE DEVELOPMENT OF THE G CODE PROGRAMMING LANGUAGE BETWEEN CASE R290-02IS AND THE CLASSIC VERSION, CONSTITUENTS OF THE GARLAND PRODUCT... by Valeria Victoria IOVANOV

“…The most important function of any CNC machine is precise and rigorous control of the movement. …”
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Research on the Magnetorheological Finishing Technology of a High-Steepness Optical Element Based on the Virtual-Axis and Spiral Scanning Path by Chihao Chen, Chaoliang Guan, Meng Liu, Yifan Dai, Hao Hu

“…Firstly, the distribution law of the magnetic induction intensity inside the polishing wheel is analyzed by simulation, the stability of the removal efficiency of the removal function within the ±7^∘ angle of the normal angle of the polishing wheel is determined, and MRF is expanded from traditional single-point processing to circular arc segment processing. …”
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Echoes in the Noise: Posterior Samples of Faint Galaxy Surface Brightness Profiles with Score-based Likelihoods and Priors by Alexandre Adam, Connor Stone, Connor Bottrell, Ronan Legin, Yashar Hezaveh, Laurence Perreaul-Levasseur

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Research on detection and tracking methods of unmanned ship water targets based on light vision by LIU Yibo, QIU Xinyu, WANG Tianhao, GAOYAN Xiusong, WANG Yintao

“…In terms of target detection, the YOLOv7 algorithm is used, which effectively improves the accuracy and recall rate of target detection by optimizing the loss function. In order to achieve accurate multi-target tracking, combined with self-trained model weights and Sort algorithm, continuous tracking of targets and accurate annotation of center point trajectories are successfully implemented. …”
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Estimating Shape Parameters of Piecewise Linear-Quadratic Problems by Zheng, Peng, Ramamurthy, Karthikeyan Natesan, Aravkin, Aleksandr Y.

“…Properties of these estimators depend on the choice of penalty and its shape parameters, such as degree of asymmetry for the quantile loss, and transition point between linear and quadratic pieces for the Huber function.In this paper, we develop a statistical framework that can help the modeler to automatically tune shape parameters once the shape of the penalty has been chosen. …”
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Discovering novel lead-free solder alloy by multi-objective Bayesian active learning with experimental uncertainty by Qinghua Wei, Yuanhao Wang, Guo Yang, Tianyuan Li, Shuting Yu, Ziqiang Dong, Tong-Yi Zhang

“…The feature-point-start forward method in multi-objective optimization adopts two Gaussian process regression (GPR) models, one for strength and one for elongation, and their outputs build up the acquisition-function-modified objective space of strength and elongation. …”
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Exploring feature sparsity for out-of-distribution detection by Qichao Chen, Kuan Li, Zhiyuan Chen, Tomas Maul, Jianping Yin

“…Abstract Out-of-distribution (OOD) detection is a crucial problem in practice, especially, for the safe deployment of machine learning models in industrial settings. Previous work has used free energy as a score function and proposed a fine-tuning method that utilized OOD data in the training phase of the classification model, which achieves a higher performance on the OOD detection task compared with traditional methods. …”
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Color image hybrid noise filtering algorithm based on deep convolution neural network by Yongfei Yu, Yuanjian Yan

“…Then, the probability density function and noise probability density function of Gaussian noise are calculated to determine the hybrid noise feature points of color image. …”
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Short-Term Wind Power Interval Forecasting Based on an EEMD-RT-RVM Model by Haixiang Zang, Lei Fan, Mian Guo, Zhinong Wei, Guoqiang Sun, Li Zhang

“…In order to solve the above problems, we propose a short-term wind power interval forecasting model based on ensemble empirical mode decomposition (EEMD), runs test (RT), and relevance vector machine (RVM). First, in order to reduce the complexity of data, the original wind power sequence is decomposed into a plurality of intrinsic mode function (IMF) components and residual (RES) component by using EEMD. …”
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Coordinated Control Strategies for Enhancing Frequency Stability of Photovoltaic and Storage Networking Systems by JIANG Shouqi, ZHANG Haifeng, FU Gui, XIN Yechun, WANG Lixin

“…[Conclusions] The proposed coordinated control strategy of frequency active support for a grid-connected optical storage system with the participation of multiple subjects enables the optical storage system to have the adaptive switching function of inertia support and primary frequency regulation under different disturbing conditions，giving full play to the frequency regulation capability of the synchronous machine while ensuring the frequency stability of the system. …”
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Enhancing Sniffing Detection in IoT Home Wi-Fi Networks: An Ensemble Learning Approach With Network Monitoring System (NMS) by Hyo Jung Jin, Farshad Rahimi Ghashghaei, Nebrase Elmrabit, Yussuf Ahmed, Mehdi Yousefi

“…Where the wireless network environment can be vulnerable to sniffing vulnerabilities attacks due to the broadcasting function of Wi-Fi network. Wi-Fi access point devices can often be compromised, and critical information is leaked through sniffing attacks. …”
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