Modeling financial market dynamics with the use of fuzzy by K. A. Polekhina, G. Eu. Polekhina

“…Fuzzy mathematics is a   branch of   mathematics that studies methods and algorithms for dealing with fuzzy data and fuzzy objects. …”
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Multicriteria Model for Shared Parking and Parking Route Recommender Systems by Pengfei Zhao, Lingxiang Wei, Dong Pan, Shuai Dong

“…Finally, the validity of our proposed models and algorithms was tested by empirical parking data and road traffic data collected in Huai’an City, Jiangsu province, China. …”
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Active Disturbance Rejection Synchronization of Morris-Lecar Neurons by Wei Wei, Yanjie Shao, Min Zuo

“…Numerous reported synchronization algorithms are designed on the basis of neural model, but they have deficiencies like relatively complex and poor robustness and are difficult to be realized. …”
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Fraud Detection in Cryptocurrency Networks—An Exploration Using Anomaly Detection and Heterogeneous Graph Transformers by Víctor Pérez-Cano, Francisco Jurado

“…On the one hand, anomaly detection algorithms were applied to determine whether fraudulent activities tend to show anomalous behaviour without resorting to manually obtained labels. …”
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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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Weibo Rumor Recognition Based on Communication and Stacking Ensemble Learning by Yu Wu, Yan Zeng, Jie Yang, Zhenni Zhao

“…Our experiment results show that the proposed method has higher accuracy, less algorithm execution time, and better practical application effect.…”
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Predicting Pulsars from Imbalanced Dataset with Hybrid Resampling Approach by Ernesto Lee, Furqan Rustam, Wajdi Aljedaani, Abid Ishaq, Vaibhav Rupapara, Imran Ashraf

“…Experiments are performed with imbalanced and balanced datasets using well-known machine learning algorithms. Results demonstrate that the proposed hybrid resampling approach proves highly influential to avoid model overfitting and increase the prediction accuracy. …”
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Event-Based Consensus for General Linear Multiagent Systems under Switching Topologies by Yinshuang Sun, Zhijian Ji, Kaien Liu

“…Obviously, compared with the continuous time control algorithms, the event-triggered control strategies can reduce the communication frequency among agents effectively. …”
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High-Precision Target Detection of Remote Sensing Image Based on Feature Enhancement with 6G Technology by Haiyan Chen

“…Military and civilian use: at present, many advanced object detection algorithms have achieved success in natural imaging, but their development is limited by two factors: large variation in object size and low detection accuracy, the scale, rotation direction, and distribution density of remote sensing images. …”
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A Method for Adaptively Enhancing Foggy Low-Illumination Image by Lihua Bi, Wenjiao Zhang, Jinjuan Zhu, Canlin Li

“…For the proposed adaptive gamma correction and adaptive MSR, an effective fitness function is designed to select the optimal scale value by virtue of particle swarm optimization (PSO) algorithm. The experiments show that the proposed method has better effect on improving the sharpness and contrast of the image, compared with the typical algorithms. …”
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Solving Integral Equations by Means of Fixed Point Theory by E. Karapinar, A. Fulga, N. Shahzad, A. F. Roldán López de Hierro

“…Its iterative procedures are applicable to a great variety of contexts in which other algorithms fail. In this paper, we study a very general class of integral equations by means of a novel family of contractions in the setting of metric spaces. …”
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Enhancing fingerprint identification using Fuzzy-ANN minutiae matching by S.P. Singh, Dinesh Kumar Nishad, Saifullah Khalid

“…Utilizing a combination of minutiae-based matching and neural network algorithms, the system is designed to overcome the limitations of traditional methods, which often fail under less-than-ideal conditions. …”
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Computational thinking on concept pattern number: A study learning style Kolb by Ratni Purwasih, Turmudi Turmudi, Jarnawi Afgani Dahlan, Naufal Ishartono

“…Computational thinking students with an assimilator learning style in solving mathematical problems of number patterns can solve issues by involving decomposition, pattern identification, abstraction and generalization, and algorithms. They can generalize patterns using accurate, thorough, complete, and systematic problem-solving strategies.…”
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The Political Economy of the Gifts on Tiktok by Cristina-Oana Cristea

“…It is a multifaceted object of study, allowing research on various topics such as security and surveillance, algorithms and addiction, and communication and online interactions. …”
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On Facial Expression Recognition Benchmarks by Ebenezer Owusu, Jacqueline Asor Kumi, Justice Kwame Appati

“…This study, as a result, aims to review selected published works in the domain of study and conduct valuable analysis to determine the most common and useful algorithms employed in the study. We selected published works from 2010 to 2021 and extracted, analyzed, and summarized the findings based on the most used techniques in feature extraction, feature selection, validation, databases, and classification. …”
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On Vibration Joint Time-Frequency Investigations of CNC Milling Machines for Tool Trajectory Task Conformity Estimation by Silviu Nastac

“…It was used short time fast Fourier transform (STFFT) and Hough transform (HT) algorithms, along with stochastic evaluation of signal parameters, within time and frequency domains. …”
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Hyperbolic Metric Spaces and Stochastic Embeddings by Chris Gartland

“…Stochastic embeddings of finite metric spaces into graph-theoretic trees have proven to be a vital tool for constructing approximation algorithms in theoretical computer science. In the present work, we build out some of the basic theory of stochastic embeddings in the infinite setting with an aim toward applications to Lipschitz free space theory. …”
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Experimental Study to Determine the Failure Criteria of Concrete at Its Early-Age by Hongyan Ding, Lei Zhang, Puyang Zhang

“…The delay of theoretical advancement in this field resulted into a mismatch between the rough theories and the advanced algorithms, which were adopted for the estimation and analysis of early-age concrete structures. …”
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Machine learning for predicting earthquake magnitudes in the Central Himalaya by Ram Krishna Tiwari, Rudra Prasad Poudel, Harihar Paudyal

“…The findings illustrate that RFR is achieving better performance than the other two algorithms, as the predicted magnitudes are close to the actual magnitudes. …”
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A New Efficient and Reliable Dynamically Reconfigurable Network-on-Chip by Cédric Killian, Camel Tanougast, Fabrice Monteiro, Abbas Dandache

“…The proposed NoC is based on routers performing online error detection of routing algorithm and data packet errors. Our work focuses on adaptive routing algorithms which allow to bypass faulty components or processor elements dynamically implemented inside the network. …”
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