Optimization of Jamming Type Selection for Countering Multifunction Radar Based on Generative Adversarial Imitation Learning by Tianjian Yang, You Chen, Siyi Cheng, Xing Wang, Xi Zhang

“…Finally, through case analysis, it can be observed that using the GAIL algorithm can achieve rewards close to those of the expert strategy. …”
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A Novel Two-Stage Spectrum-Based Approach for Dimensionality Reduction: A Case Study on the Recognition of Handwritten Numerals by Mohammad Amin Shayegan, Saeed Aghabozorgi, Ram Gopal Raj

“…This method is based on one-dimensional and two-dimensional spectrum diagrams of standard deviation and minimum to maximum distributions for initial feature vector elements. The proposed algorithm is validated in an OCR application, by using two big standard benchmark handwritten OCR datasets, MNIST and Hoda. …”
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Implementing the TOPSIS Method for Book Update and Procurement Priority by Nurlindasari Tamsir, Magfirah Magfirah, Vivi Rosida, St. Amina H. Umar, Widyawati Widyawati

“…The goal of this research is to use the TOPSIS algorithm to determine the procurement and updating of books in the UNHAS library, particularly at the Faculty of Nursing. …”
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Hyperspectral Image Classification Using Spectral-Spatial Dual Random Fields With Gaussian and Markov Processes by Yaqiu Zhang, Lizhi Liu, Xinnian Yang

“…Experimental results on three datasets with varying complexity show that the proposed algorithm improves computational efficiency by approximately 152 times and accuracy by about 7%–26% compared to the current popular Gaussian process methods. …”
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NOMA Performance Improvement with Downlink Sectorization by Hurianti Vidyaningtyas, . Iskandar, . Hendrawan, Aloysius A. Pramudita

“…A Sequential Power Allocation (SePA) algorithm was introduced to enhance power distribution within sectors, aiming to maximize both user capacity and overall sum rate. …”
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Design and Implementation of universal converter using ANN controller by K. Suresh, E. Parimalasundar, A. Arunraja, V. Ellappan, Eshetu Tessema Ware

“…The pre-trained ANN algorithm generates pulse-width modulation (PWM) signals to control the switching of the IGBTs, optimizing timing and duty cycles for efficient operation. …”
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Generating synthetic images for construction machinery data augmentation utilizing context-aware object placement by Yujie Lu, Bo Liu, Wei Wei, Bo Xiao, Zhangding Liu, Wensheng Li

“…First, the inpainting algorithm was applied to generate pure backgrounds, followed by multi-angle foreground capture within the UE. …”
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Heuristic Approach to Comparing the Environmental Impacts of Carbon Nanotube Production Methods by Ahmad Atif Fikri, Irham Fadlika, Albarrobi Nabila Saeful, Krisna Dwipa Muhdi, Daniel Febrian Pratama, Nasir Garba Bello

“…One way to overcome this problem is by using the heuristic method for forecasting environmental impact, which can be done with the Multi-Criteria Decision Analysis algorithm. The method can calculate uncertainty in each scenario, by normalizing the given load value. …”
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Multifeature Fusion Detection Method for Fake Face Attack in Identity Authentication by Haiqing Liu, Shiqiang Zheng, Shuhua Hao, Yuancheng Li

“…In this paper, we use the CASIA, PRINT-ATTACK, and REPLAY-ATTACK database to compare the various LBP algorithms that incorporate optical flow and fusion algorithms.…”
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DSFA-SwinNet: A Multi-Scale Attention Fusion Network for Photovoltaic Areas Detection by Shaofu Lin, Yang Yang, Xiliang Liu, Li Tian

“…Secondly, a hybrid loss function has been developed with weights optimized employing the Bayesian Optimization algorithm to provide a strategic method for parameter tuning in similar research. …”
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Contagious disease outbreaks: Distinguishing between constant and variable order using the SEIAR model by S.Sepehr Tabatabaei, Mohammadreza Dehghan

“…A heuristic approach is proposed for parameter estimation using a Genetic Optimization Algorithm, which evaluates all possible scenarios for the order and suggests parameter sets that perform well across these scenarios. …”
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Evaluating the Sustainable Growth of Small- and Medium-Sized Construction Enterprises Using the Multicriteria Decision-Making Method by Wenbao Wang, Wenhe Lin, Xinyi Dai, Yingzheng Yan, Aiping Xuan

“…Considering the development of small- and medium-sized construction enterprises, a growth evaluation index system that includes growth resources, growth ability, and growth innovation was established, and a growth evaluation model was constructed using the improved entropy-VIKOR algorithm. Evaluation and analysis of the sustainable growth of small- and medium-sized construction enterprises listed before the end of 2012 were conducted. …”
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Hierarchical Spatial Clustering in Multihop Wireless Sensor Networks by Zhidan Liu, Wei Xing, Yongchao Wang, Dongming Lu

“…With such metric, we propose a clustering algorithm named as HSC to group the most similar sensor nodes in a distributed way. …”
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The panel threshold analysis of digitalization on manufacturing industry’s green total factor productivity by Lu Liu, Yulong Xin, Bei Liu, Yuankui Pang, Weiran Kong

“…The empirical results show that: (1) Digitalization has a significant threshold impact on IGTFP, and the research results are still robust according to changing the threshold variable algorithm and carrying on a Winsorize test. (2) Industry technological innovation (ITI) plays a threshold role in the process of digitalization impact on IGTFP. (3) Heterogeneity analysis shows that the impact mechanism varies depending on differentiated industry factor intensity and industry pollution degree. …”
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Research on the Prediction of the Water Demand of Construction Engineering Based on the BP Neural Network by Hao Peng, Han Wu, Junwu Wang

“…However, the errors of the BP neural network model, the BP neural network improved by genetic algorithm, and the pluralistic return were larger. …”
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A novel approach on laplacian energy of -dominating complex spherical fuzzy graph structures and with application by S. N. Suber Bathusha, S. Angelin Kavitha Raj, Mufti Mahamud, Sowndharya Jayakumar

“…Finally, we have discussed a real-world example based on temperature variation and climatic data analysis in an environment with a LE of the [Formula: see text]-dominant CSFGS, to demonstrate the applicability of the generated results. Also, an algorithm has been developed to clarify the fundamental workings of our application.…”
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Transcriptome size matters for single-cell RNA-seq normalization and bulk deconvolution by Songjian Lu, Jiyuan Yang, Lei Yan, Jingjing Liu, Judy Jiaru Wang, Rhea Jain, Jiyang Yu

“…Here we introduce ReDeconv, a computational algorithm that incorporates transcriptome size into scRNA-seq normalization and bulk deconvolution. …”
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Diagnostic Pitfalls in Newborns and Babies with Blisters and Erosions by Elke Nischler, Alfred Klausegger, Clemens Hüttner, Gabriele Pohla-Gubo, Anja Diem, Johann W. Bauer, Helmut Hintner

“…In this paper we discuss by giving examples the process of making an accurate diagnosis of blistering skin diseases in the neonatal period on the basis of a diagnostic algorithm. In addition, we provide an overview of the rational use and the limitations of laboratory procedures such as microbial testing, routine light microscopy, immunofluorescence antigen mapping, transmission electron microscopy, and molecular genetic analysis.…”
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Copula-Driven Learning Techniques for Physical Layer Authentication Using Multimodal Data by Sahana Srikanth, Sanjeev Gurugopinath, Sami Muhaidat

“…Our extensive results provide intra-algorithm, intra-architecture and inter-architecture insights, and show that LSTM offers the best performance, across the datasets and proposed architectures.…”
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Dynamic Eco-Driving on Signalized Arterial Corridors during the Green Phase for the Connected Vehicles by Xiangmo Zhao, Xia Wu, Qi Xin, Kang Sun, Shaowei Yu

“…The results indicate that the fuel saving of the connected vehicle guided by the dynamic optimization algorithm shows significant improvement. In addition, the rolling optimization among three signalized intersections is conducted and the results show that a considerable improvement can be obtained compared with the one-by-one optimization.…”
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