A Comprehensive Estimation of the Economic Effects of Meteorological Services Based on the Input-Output Method by Xianhua Wu, Guo Wei, Lingjuan Yang, Ji Guo, Huaguo Lu, Yunfeng Chen, Jian Sun

“…Concentrating on consuming coefficient, partition coefficient, and Leontief inverse matrix, relevant concepts and algorithms are developed for estimating the impact of meteorological services including the associated (indirect, complete) economic effect. …”
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Ionospheric Gradient Threat Mitigation in Future Dual Frequency GBAS by Michael Felux, Mihaela-Simona Circiu, Jiyun Lee, Florian Holzapfel

“…We, therefore, developed a method to base positioning algorithms on single frequency measurements and use the second frequency only for monitoring purposes. …”
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Optimization coverage conserving protocol with authentication in wireless sensor networks by Zeyu Sun, Longxing Li, Xuelun Li, Xiaofei Xing, Yuanbo Li

“…Furthermore, through comparisons of the coverage quality and network lifetime with other algorithms, the performance indexes of this protocol have been substantially increased by the simulation experiment, which verified the effectiveness and viability of the protocol in this article.…”
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Innovative Strategy to Improve Precision and to Save Power of a Real-Time Control Process Using an Online Adaptive Fuzzy Logic Controller by R. Lasri, I. Rojas, H. Pomares, O. Valenzuela

“…Through a training board that allows us to control the temperature, all the used algorithms should present their best performances in this control process; therefore, our self-organized and online adaptive fuzzy logic controller (FLC) will be required to present great improvements in the control task and a real high control performance. …”
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A New Collision Avoidance Approach for Automated Guided Vehicle Systems Based on Finite State Machines by Mustafa COBAN, Gokhan GELEN

“…In the proposed method, while finite state machines are used to model the movement of automated guided vehicles in the environment, the Q-learning method, one of the most common reinforcement learning algorithms, is used for collision avoidance. The presented approach uses the decentralized node-based approach to reduce computational complexity. …”
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Prediction of oxidation resistance of Ti-V-Cr burn resistant titanium alloy based on machine learning by Yuanzhi Sun, Guangbao Mi, Peijie Li, Liangju He

“…The results show that the two algorithms based on multiple learners, gradient boosting decision tree (GBDT) and eXtreme Gradient Boosting (XGBoost), show better performance. …”
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Fast Spectral Collocation Method for Solving Nonlinear Time-Delayed Burgers-Type Equations with Positive Power Terms by A. H. Bhrawy, L. M. Assas, M. A. Alghamdi

“…We present numerical results which illustrate the accuracy and flexibility of these algorithms.…”
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A Comparative Study of First-Order Reliability Method-Based Steepest Descent Search Directions for Reliability Analysis of Steel Structures by Hamed Makhduomi, Behrooz Keshtegar, Mehdi Shahraki

“…Three algorithms of first-order reliability method (FORM) using steepest descent search direction are compared to evaluate the reliability index of structural steel problems which are designed by the Iranian National Building code. …”
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The Navigation of Home Service Robot Based on Deep Learning and Machine Learning by Yupei Yan, Weimin Ma, Sengfat Wong, Xuemei Yin, Qiang Pan, Zhiwen Liao, Xiaoxin Lin

“…Following, the data come from the robot operating system topics are collected and cleaned, the linear regression, decision tree, and linear SVR algorithms are applied and compared to predict the power consumption of the robot, and a conclusion is obtained that liner movement will consume more power, which provides a reference for the path planning of the robot. …”
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Joint intelligent optimization design of the active region and electron blocking layer for AlGaN-based deep ultraviolet LEDs by Jinglei Wang, Huimin Lu, Jianhua Ma, Yifan Zhu, Zihua Zhang, Tongjun Yu, Xuecheng Wei, Hua Yang, Jianping Wang

“…Aiming to enhance the internal quantum efficiency (IQE) of AlGaN-based deep ultraviolet light-emitting diodes (DUV LEDs), the active region based on the V-shaped quantum well (QW) and the electron-blocking layer (EBL) structure are jointly optimized using intelligent algorithms in this work. This method focuses on maximizing the IQE of the DUV LEDs by optimizing the geometric and material parameters of multiple QWs (MQWs) and EBL. …”
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A novel class of fourth-order derivative-free iterative methods to obtain multiple zeros and their basins of attraction by Munish Kansal, Vanita Sharma, Litika Rani, Lorentz Jäntschi

“…Numerical analyses were performed and compared with other existing algorithms to verify the efficacy and applicability of the proposed techniques.…”
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Scheduling for Improving System Capacity in Multiservice 3GPP LTE by Francisco Rafael Marques Lima, Stefan Wänstedt, Francisco Rodrigo Porto Cavalcanti, Walter Cruz Freitas Junior

“…We study the impact of scheduling algorithms on the provision of multiple services in the long term evolution (LTE) system. …”
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Support Vector Machine for Behavior-Based Driver Identification System by Huihuan Qian, Yongsheng Ou, Xinyu Wu, Xiaoning Meng, Yangsheng Xu

“…The experimental results of learning algorithms and evaluation are described.…”
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Machine learning-enhanced SERS for accurate azoospermia diagnosis via seminal plasma exosome analysis by Jiarui Wang, Shiyan Jiang, Jiaxin Shi, Jing Wang, Shengrong Du, Zufang Huang

“…Semen samples from healthy controls ([Formula: see text]) and azoospermic patients ([Formula: see text]) were collected, and their exosomal SERS spectra were obtained. Machine learning algorithms were employed to distinguish between the SERS profiles of healthy and azoospermic samples, achieving an impressive sensitivity of 99.61% and a specificity of 99.58%, thereby highlighting significant spectral differences. …”
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Multigoal-oriented a posteriori error control for heated material processing using a generalized Boussinesq model by Beuchler, Sven, Endtmayer, Bernhard, Lankeit, Johannes, Wick, Thomas

“…The error indicators are used to employ adaptive algorithms, which are substantiated with several numerical tests such as one benchmark and two further experiments that are motivated from laser material processing. …”
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The Multivariate Fusion Distribution Characteristics in Physician Demand Prediction by Jiazhen Zhang, Wei Chen, Xiulai Wang

“…By combining variational autoencoders and LSTM units, the model can effectively capture complex nonlinear relationships and long-term dependencies, and the multi-head attention mechanism overcomes the limitations of traditional algorithms. This lightweight architecture design not only improves the computational efficiency but also enhances the stability in high-dimensional data processing and reduces feature redundancy by combining the normalization process with statistics. …”
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Quantitative Indicator for Objective Assessment of Software Process Quality and Performance by Muhammad Adeel Mannan, Jahangir Khan, Hira Zafar

“…We define the problem as a sequence classification challenge that can be effectively tackled using machine learning algorithms. Building on this framework, we develop a new quantitative metric for the objective evaluation of software process efficiency and quality. …”
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Optimizing Pinned Nodes to Maximize the Convergence Rate of Multiagent Systems with Digraph Topologies by Yujuan Han, Wenlian Lu, Tianping Chen, Changkai Sun

“…In the case of sufficiently large pinning strength, by the similar method, a metric based on the smallest real part of eigenvalues of the Laplacian submatrix corresponding to the unpinned nodes is used to measure the stabilizability of the pinned node set. Different algorithms that are applicable for different scenarios are develped. …”
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Prediction of Concrete Compressive Strength by Evolutionary Artificial Neural Networks by Mehdi Nikoo, Farshid Torabian Moghadam, Łukasz Sadowski

“…Compressive strength of concrete has been predicted using evolutionary artificial neural networks (EANNs) as a combination of artificial neural network (ANN) and evolutionary search procedures, such as genetic algorithms (GA). In this paper for purpose of constructing models samples of cylindrical concrete parts with different characteristics have been used with 173 experimental data patterns. …”
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Antiretroviral Therapy for HIV-2 Infection: Recommendations for Management in Low-Resource Settings by Kevin Peterson, Sabelle Jallow, Sarah L. Rowland-Jones, Thushan I. de Silva

“…It complicates HIV diagnosis, requiring more expensive and technically demanding testing algorithms. Natural polymorphisms and patterns in the development of resistance to antiretrovirals are reviewed, along with their implications for antiretroviral therapy. …”
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