Secure ISAC MIMO systems: exploiting interference with Bayesian Cramér–Rao bound optimization by Nanchi Su, Fan Liu, Christos Masouros, George C. Alexandropoulos, Yifeng Xiong, Qinyu Zhang

“…Our extensive numerical results verify the effectiveness of the proposed secure ISAC design showing that the proposed algorithm outperforms block-level precoding techniques.…”
Get full text

A Metaheuristic Approach Based Feasibility Assessment and Design of Solar, Wind, and Grid Powered Charging of Electric Vehicles by Fayez Alanazi, Mohd Bilal, Ammar Armghan, Md Reyaz Hussan

“…An environmentally friendly EVCS model and a novel metaheuristic optimization technique, the Giza Pyramids Construction Algorithm (GPCA) is employed, to determine the optimal sizing of system components. …”
Get full text

Vibration Information Acquisition and Representation Control Strategy for Construction Vehicle Driver Seat by Mingde Gong, Baoqiang Zhao, Xin Wang

“…An improved adaptive algorithm of multisensor attitude data fusion is proposed. …”
Get full text

Image guided construction of a common coordinate framework for spatial transcriptome data by Peter Lais, Shawn Mishra, Kun Xiong, Huanan Shi, Gurinder Singh Atwal, Yu Bai

“…Here we present a deep learning algorithm STaCker that unifies the coordinates of transcriptomic slices via an image registration process. …”
Get full text

A Small-Sample Scenario Optimization Scheduling Method Based on Multidimensional Data Expansion by Yaoxian Liu, Kaixin Zhang, Yue Sun, Jingwen Chen, Junshuo Chen

“…Firstly, based on spatial correlation, the daily power curves of PV power plants with measured power are screened, and the meteorological similarity is calculated using multicore maximum mean difference (MK-MMD) to generate new energy output historical data of the target distributed PV system through the capacity conversion method; secondly, based on the existing daily load data of different types, the load historical data are generated using the stochastic and simultaneous sampling methods to construct the full historical dataset; subsequently, for the sample imbalance problem in the small-sample scenario, an oversampling method is used to enhance the data for the scarce samples, and the XGBoost PV output prediction model is established; finally, the optimal scheduling model is transformed into a Markovian decision-making process, which is solved by using the Deep Deterministic Policy Gradient (DDPG) algorithm. …”
Get full text

Rescheduling of Multi-Scenario and Multi-Objective Dynamic Changes of Ship Group Construction by ZHANG Aoyuan, HU Xiaofeng, ZHANG Yahui

Get full text

WaveConstLib: A java library for signal analysis and wavelet construction by Çağla Sarvan Cibil, Nalan Özkurt

“…Unlike traditional methods, WaveConstLib employs multi-objective evolutionary algorithms (MOEAs) optimization to construct signal-specific wavelet functions, ensuring superior adaptability and performance. …”
Get full text

On Some Issues of an Expert Study of the Readiness and Cost of Design Documentation for Construction Projects by F. G. Aminev, S. A. Zamyatin

“…They also show the perspectives of applying the theory of qualimetry and the economic theory of utility in an expert study of the readiness and cost of design documentation for construction projects. A general comprehensive assessment of project quality has been developed: special attention has been paid to absolute and relative indicators of the readiness of project documentation.The authors propose a reasonable version of the calculation justification for the degree of readiness of project documentation, they show the advantages of the suggested methodological approach, and first of all, the possibility of applying computer processing of results and the relative simplicity of the software calculation algorithm.…”
Get full text

Experimental Investigation of an Algorithmic Approach for Optimizing DAB Converter Design by Rossano Mendes Sotoriva, Mateus de Freitas Bueno, Douglas Mendes Sotoriva, Franciéli Lima de Sá, Samir Ahmad Mussa

“…The optimization process employs an algorithm to ascertain the optimal construction parameters, encompassing factors such as the number of turns in the inductor, gap length, and the number of turns in the primary and secondary windings of the transformer. …”
Get full text

INFORMATION MODELING OF ORGANIZATION OF BRIDGES’ CONSTRUCTION UNDER STOCHASTIC UNCERTAINTY OF TIME PARAMETERS by T. V. Bobrova, M. S. Ratanin, E. P. Timofeeva

“…The algorithm for informational modeling of bridge construction organization is developed. …”
Get full text

Beyond buzzwords: NLP reveals common threads in sustainable and circular construction discourse by Shakarim Aubakirov, Alexandr Pak, Iskander Akhmetov, Aidana Tleuken, Huseyin Atakan Varol, Assel Akzhalova, Ferhat Karaca

“…By clarifying the distinctions and overlaps between the terms “circular construction” and “sustainable construction”, our research offers enhanced understanding for policymakers, industry practitioners, and academics aiming to integrate sustainable and circular principles effectively within the construction sector.…”
Get full text

Construction and demolition waste material library based on vision systems dataZenodo by Maria Teresa Calcagni, Giovanni Salerno, Gloria Cosoli, Giuseppe Pandarese, Gian Marco Revel

“…The article describes in detail the library structure, data collection protocols, and practical applications in the fields of waste management and sustainable construction. In addition, the benefits of this resource for the scientific and industrial community are discussed, including the possibility of using the data to develop/fine-tune artificial intelligence (AI) algorithms capable of optimising sorting and recycling processes by recognition and discrimination among different types of CDW material using the aforementioned sensors. …”
Get full text

Multi-Objective Optimization for Artificial Island Construction Scheduling Using Cooperative Differential Evolution by Tianju Zheng, Liping Sun, Jifeng Chen, Xinyuan Cui, Shuqi Li

“…MOCDE integrates Cooperative Co-evolutionary Algorithms, and Differential Evolution to efficiently obtain the optimal schedules. …”
Get full text

Simulation study of muon localization based on the LSTM regression algorithm by ZHANG Haifeng, LUO Siyuan, LIU Xiangman, HE Lie, XIAO Wancheng, YIN Longxiang, WANG Ke, ZOU Yuchen, LIU Yuchen, WANG Xiaodong

“…Then, three types of artificial intelligence regression algorithms, i.e., extreme gradient boosting (XGBoost), multilayer perceptron (MLP) and long short-term memory (LSTM), were employed as the method for muon localization.ResultsThe simulation results demonstrate that LSTM algorithm achieves the highest accuracy among the three regression algorithms when photon number is considered as the characteristic parameter. …”
Get full text

DNA Genetic Algorithm in Digital Intelligent Design of Environmental Art by Wanlu Jiang

“…Through three interrelated experiments ranging from simple to complex, the results demonstrate the feasibility of the model proposed in this article. The construction elements and important links of environmental art design integrated with digital technology provide a good reference for the research on digital environmental art design based on DNA genetic theory.…”
Get full text

Predictive Analysis of Carbon Emissions in China’s Construction Industry Based on GIOWA Model by Tianyue Hu, Zhiheng Bao, Baiyang Zhang, Xinnan Gao

“…A case study is conducted based on historical data (1997–2021) from the construction industry, and the research findings indicate that: (1) the GIOWA combination forecasting model effectively integrates the algorithmic strengths of SVR and LSTM, achieving an average prediction accuracy of 98.16%, which signifies a remarkable improvement over both individual models; (2) the carbon emissions in China’s construction industry will maintain a downward trend during the period 2022–2030, although the decline rate is expected to decrease gradually; (3) by 2030, a reduction of nearly 35% in carbon emissions is anticipated relative to the historical peak. …”
Get full text

RussianLanguage Thesauri: Automated Construction and Application For Natural Language Processing Tasks by Nadezhda S. Lagutina, Ksenia V. Lagutina, Aleksey S. Adrianov, Ilya V. Paramonov

“…In particular, the authors considered algorithms for extracting keywords and semantic thesaurus relationships of all types, as well as the quality of thesauri generated with the use of these tools. …”
Get full text

Application of the Double Approximation Method for Constructing Stiffness Matrices of Volumetric Finite Elements by P. P. Gaidzhurov, N. A. Saveleva

“…The storage and processing of the resulting system of equations was implemented in algorithmic terms of sparse matrices. Software development and computational experiments were carried out using the Microsoft Visual Studio 2013 64-bit computing platform and the Intel ® Parallel Studio XE 2019 compiler with the integrated Intel ® Visual Fortran Composer XE 2019 text editor. …”
Get full text

Construction and validation of immune prognosis model for lung adenocarcinoma based on machine learning by Jinyu Zheng, Xiaoyi Xu, Xianguo Chen, Xianshuai Li, Miao Fu, Yiping Zheng, Jie Yang

“…Differentially expressed genes and immune-related genes from the IMMPORT database were integrated using WGCNA. Three machine learning algorithms—Random Forest, LASSO, and SVM-RFE—were applied to identify key hub genes. …”
Get full text

Finding Random Integer Ideal Flow Network Signature Algorithms by Kardi Teknomo, Erna Budhiarti Nababan, Indriati Njoto Bisono, Resmana Lim

“… We propose a Random Integer Ideal Flow Network (IFN) Signature Algorithm that generates integral flow assignments in strongly connected directed graphs under uncertainty. …”
Get full text