Formation of similarity criteria for physical objects and processes based on NonDimCritFormer 1.0 computer program by I. M. Tsibirova

“…The computer program is developed. It enables to get all the theoretically possible similarity criteria for the simulation of the physical process or object of interest. …”
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Novel Fractional Order Calculus Extended PN for Maneuvering Targets by Jikun Ye, Humin Lei, Jiong Li

“…In the first part, considering the memory function and filter characteristic of FOC, the novel extended PN guidance algorithm is developed based on the conventional PN after introducing the properties and operation rules of FOC. …”
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Entropy-Based Correlation Analysis for Privacy Risk Assessment in IoT Identity Ecosystem by Kai-Chih Chang, Suzanne Barber

“…This research introduces a quantitative framework for evaluating IoT privacy risks, centered on two algorithmically derived scores: the Personalized Privacy Assistant (PPA) score and the PrivacyCheck score, both developed by the Center for Identity at The University of Texas. …”
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How Much Power Is Needed for RIS to Beat Relays? A Sustainability Framework by Mohammad Abualhayja'a, Mahmoud Wagih, Anthony Centeno, Muhammad Ali Imran, Lina Mohjazi

“…To address the optimisation problem effectively, we have developed a robust algorithm based on the particle swarm optimisation approach (PSO). …”
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A Collaborative Transit Signal Priority Method Considering Gaming among Traffic Participants by Bing Wu, Haishan Wang, Yanli Wang, Ben Zhai, TanXing Xue

“…A finite state machine-based algorithm is developed to estimate the average delays of nontransit vehicles. …”
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Adaptive Security in ODMAC for Multihop Energy Harvesting Wireless Sensor Networks by Alessio Di Mauro, Xenofon Fafoutis, Nicola Dragoni

“…The amount of energy available is theoretically infinite in the long run but highly variable over short periods of time, and managing it is a crucial aspect. …”
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Intelligent excitation adaptability for full-spectrum real-time vibration isolation by Shuai Chen, Yilong Wang, Qianjing Wu, Hesheng Han, Dengqing Cao, Biao Wang

“…The IEA-VI system operates in high-static-low-dynamic-stiffness and high-dynamic-stiffness modes, capable of intelligent on-demand mode switching. We develop a real-time frequency perception algorithm to quickly perceive excitation frequencies, enabling the system to perform rapid mode-switching and thus achieve real-time full-spectrum vibration control. …”
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Validation of Depth-Averaged Flow Model Using Flat-Bottomed Benchmark Problems by Il Won Seo, Young Do Kim, Chang Geun Song

“…In this study, a shallow water flow code was developed and tested against four benchmark problems of practical relevance. …”
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Minimum-Cost Design of Auto-Scaling Server Farms Providing Reliability Guarantees by Jesus Perez-Valero, Pablo Serrano, Jaime Garcia-Reinoso, Albert Banchs, Xavier Costa-Perez

“…In this paper, we address the design of auto-scaling server farms–specifically, selecting the most suitable server type and corresponding number of servers–by considering both service requirements and associated operational and infrastructure costs. To this end, we develop an optimization algorithm that combines (i) a queueing-theoretic model to estimate the resources needed to meet reliability constraints, and (ii) a general cost model that captures both capital and operational expenditures. …”
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Detection Characteristics of the Parametric Method of Signal Processing in a Sparse Antenna Array of a Transportable Decameter Range Radar by V. M. Kutuzov, M. A. Ovchinnikov, E. A. Vinogradov

“…To construct the detection characteristics (DC) computer modeling in the MatLab environment, the reliability of which was confirmed by the construction of known and theoretically calculated DC, was used.Results. The developed method includes a procedure of restoring (synthesizing) of artificial signal of equidistant AA with subsequent application of Burg parametric algorithm to obtain an estimate of the angular spatial frequency spectrum. …”
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Multimodal adaptive temporal phase unwrapping using deep learning and physical priors by Yiheng Liu, Xinsheng Li, Ziheng Jin, Wenwu Chen, Edmund Y. Lam, Shijie Feng, Qian Chen, Chao Zuo

“…Moreover, conventional learning-based methods develop deep neural networks (DNNs) that operate in a single modality, meaning that once the training is complete, the DNN can only perform a specific TPU algorithm. …”
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Performance Analysis of Superposition M-ary QAM Modulation in Coded Protograph LDPC MIMO Communication Systems With Low-Resolution ADCs by Duc A. Hoang, Hieu T. Nguyen, Thang N. Le

“…To theoretically assess system performance, we further develop a modified Protograph Extrinsic Information Transfer (PEXIT) algorithm, which integrates the effects of MIMO fading, ADC quantization noise, and protograph LDPC decoding into a single analytical tool. …”
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The Generalization Error Bound for A Stochastic Gradient Descent Family bia A Gaussian Approximation Method by Chen Hao, Mo Zhanfeng, Yang Zhouwang

“…Recent works have developed model complexity based and algorithm based generalization error bounds to explain how stochastic gradient descent (SGD) methods help over-parameterized models generalize better. …”
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Detection method on pantograph-catenary arcing of electric locomotives based on multi-frequency-band characteristics of current signals by LUO Yinbei, GE Ting, SUN Zeyong

“…The arcing labels and feature sets provided by 3C equipment were incorporated for training, to develop a classifier enabling real-time arcing detection. …”
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A Data-Driven Method for Determining DRASTIC Weights to Assess Groundwater Vulnerability to Nitrate: Application in the Lake Baiyangdian Watershed, North China Plain by Xianglong Hou, Liqin Peng, Yuan Zhang, Yan Zhang, Yunxia Wang, Wenzhao Feng, Hui Yang

“…In this paper, a new data-driven weighting method based on Monte Carlo or genetic algorithm was developed. The new method considers both single factors and the relationship among factors, overcomes the subjectivity of weight determination, and is theoretically applicable to various hydrogeological environments and as a general weight determination method. …”
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Outage Performance and Novel Loss Function for an ML-Assisted Resource Allocation: An Exact Analytical Framework by Nidhi Simmons, David E. Simmons, Michel Daoud Yacoub

“…Instead, our primary emphasis is on theoretically developing this loss function and leveraging it to train an ML model to address the outage probability challenge. …”
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Quaternion Method of Calculating Angles while Measuring via Goniometric Precision Instrument System by И.Ю. Черепанская, А.Ю. Сазонов, Н.И. Крушинская, В.А. Прядко, Н.В. Лукинюк

“…The usage of the developed quaternion calculation enabled to increase accuracy by 0,25'' (in 3 times) and measurement performance in 9 times (up to 6.5 sec.) in comparison with the famous ones. …”
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Model Selection from Multiple Model Families in Species Distribution Modeling Using Minimum Message Length by Zihao Wen, David L. Dowe

“…To find the relevant features efficiently, we further develop a novel search algorithm that does not require calculating the message length for all possible subsets of features. …”
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Client Selection for Generalization in Accelerated Federated Learning: A Multi-Armed Bandit Approach by Dan Ben Ami, Kobi Cohen, Qing Zhao

“…In this paper, we present a novel multi-armed bandit (MAB)-based approach for client selection to minimize the training latency without harming the ability of the model to generalize, that is, to provide reliable predictions for new observations. We develop a novel algorithm to achieve this goal, dubbed Bandit Scheduling for FL (BSFL). …”
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