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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

Machine Learning Method for Predicting the Merge and Morphology of Galaxies through Near-Infrared Spectroscopy by Samira Monfared, Neda Abdolvand, Mohammad Taghi Mirtorabi, Saeedeh Rajaee Harandi

“…The best results for both phases obtained from the implementation of the GLM algorithm with the accuracy of 70.28 % and 76.51% for the first and second phase respectively.…”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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.…”
Get full text

Medical terminology of patients’ medical cases: structural and semantic analysis by M. I. Andreeva, R. R. Shaekhova

“…Moreover, the developed algorithm provides a solid base for further investigations alike. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

A Novel Sliding Mode Control with Low-Pass Filter for Nonlinear Handling Chain System in Container Ports by Bowei Xu, Junjun Li, Yongsheng Yang, Huafeng Wu, Octavian Postolache

“…The performances of the SMC-LPF for the nonlinear HCS in container ports outperform those of the traditional method, particle swarm optimization algorithm, and slide mode control under simulations with a unit step signal and a sinusoidal signal with offset as the freight requirements. …”
Get full text

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. …”
Get full text

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. …”
Get full text

Adversarial subdomain adaptation network for mismatched steganalysis by Lei ZHANG, Hongxia WANG

“…Once data in the training and test sets come from different cover sources, that is, under the condition of cover source mismatch, it usually makes the detection accuracy rate of an outstanding steganalysis model to be reduced.In practical applications, the analyzers need to process images collected from the Internet.However, compared with the training set data, these suspicious images are likely to have completely different capture and processing histories, which may lead to the degradation of steganalysis model.It is also why steganalysis tools are difficult to deploy successfully in the real-world applications.To improve the practical application value of steganalysis methods based on deep learning, test sample information is utilized and domain adaptation method is used to solve the problem of cover source mismatch.Regarding the training set data as the source domain and test set data as the target domain, the detection performance of steganalysis models in the target domain is enhanced by minimizing the discrepancy between the feature distribution of source domain and target domain.ASAN (adversarial subdomain adaptation network) was proposed from the perspective of feature generation on the one hand.The source domain features and target domain features generated by the steganalysis model were required to be as similar as possible, so that the discriminator cannot distinguish which domain the features came from.On the other hand, to reduce the difference of feature distribution between domains, the subdomain adaptation method was adopted to reduce the unexpected change of the distribution of related subdomains.The distance between the cover and stego samples was enlarged effectively to improve the classification accuracy.After testing three steganography algorithms on multiple datasets, it is confirmed that the proposed method can effectively improve the detection accuracy rate of the model in the case of dataset mismatch and algorithm mismatch and it can also reduce the negative impact of the mismatch problem of the model.…”
Get full text

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.…”
Get full text