Privacy Risk Assessment of Medical Big Data Based on Information Entropy and FCM Algorithm by Xiaoliang Zhang, Tianwei Guo

“…When the number of users reaches 100, the judgment time of the improved fuzzy C-means clustering model is 1.8 seconds. The research results indicate that the proposed medical big data privacy risk assessment model, which combines information entropy and improved fuzzy C-means clustering algorithm, has excellent performance and can provide new technical means for medical data privacy protection, enhancing the security and reliability of medical information systems.…”
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A Multi-Scale Feature Extraction Algorithm for Chinese Herbal Medicine Image Classification by Wenbin Dai, Yuxin Ma, Yan Fan, Jun Ma

“…Due to the low quality of existing Chinese herbal medicine datasets and the lack of recognition algorithms for herbal images, automatic classification of Chinese herbal medicine is ineffective. …”
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Identification of Vulnerable Lines in Transmission Network for Cascading Failure Based on PageRank Algorithm by Mingkui WEI, Quan ZHOU, Yuyan SONG, Yuhong WANG, Hong ZHOU, Shaorong CAI, Li JIANG

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Deep learning for algorithmic trading: A systematic review of predictive models and optimization strategies by MD Shahriar Mahmud Bhuiyan, MD AL Rafi, Gourab Nicholas Rodrigues, MD Nazmul Hossain Mir, Adit Ishraq, M.F. Mridha, Jungpil Shin

“…The review highlights current challenges, such as data noise, overfitting, and interpretability, while discussing emerging solutions and future research directions. Our findings provide a comprehensive understanding of how DL reshapes algorithmic trading and its potential to improve decision-making processes in volatile financial environments.…”
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COVID-19 World Vaccine Adverse Reactions Based on Machine Learning Clustering Algorithm by Lozan M. Abdulrahman, Adnan Mohsin Abdulazeez, Dathar A. Hasan

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A Novel Method for News Recommendation on Websites Using the Clustered-Vectors Optimization Algorithm by Piyanuch Chaipornkaew, Thepparit Banditwattanawong

“…Numerous studies have employed established machine learning techniques to enhance the performance of recommendation models to a certain degree. This research introduces a recommendation model for news content utilizing a novel machine learning technique known as the “Clustered-Vectors Optimization (CVO)” algorithm. …”
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3D animation design image detail enhancement based on intelligent fuzzy algorithm by Pu Haitao, Pu Yuang

“…The research results indicated that Fuzzy Algorithm-SRGAN (FA-SRGAN) had an average PSNR (Peak Signal-to-Noise Ratio) exceeding 32.8 dB in four test scenes; in architectural design scenes, the algorithm improved image contrast by 18%, and increased energy and uniformity by 14% and 11%, respectively. …”
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Seafood Quality Detection Using Electronic Nose and Machine Learning Algorithms With Hyperparameter Optimization by Dedy Rahman Wijaya, Nailatul Fadhilah Syarwan, Muhammad Agus Nugraha, Dahliar Ananda, Tora Fahrudin, Rini Handayani

“…Meeting this demand necessitates the maintenance of freshness in marine fishery products. Thus, this research aims to develop a fast, cheap, accurate method utilizing an electronic nose (e-nose) and machine learning algorithms as an alternative method for assessing the freshness quality of marine fishery products (seafood). …”
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Efficient Fourth-Order PSTD Algorithm with Moving Window for Long-Distance EMP Propagation by Yongli Wei, Baofeng Cao, Zongxiang Li, Tianchi Zhang, Changjiao Duan, Xiao Li, Xiaoqiang Li, Peng Li

“…Therefore, it is necessary to conduct theoretical research on EMP propagation in the ionosphere. Conventional second-order pseudo-spectral time-domain (PSTD-2) algorithm has difficulties in keeping the stability and accuracy of waveforms in calculations over hundreds of kilometers of propagation. …”
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HYBRID FIREFLY AND PARTICLE SWARM OPTIMIZATION ALGORITHM FOR DESIGN OF NON-LINEAR CHANNEL EQUALIZER by Vundavalli Ravindra, Pradyumna Kumar Mohapatra, Ravi Narayan Panda, Saroja Kumar Rout

“…This hybrid technique combines the concepts of both the algorithms to create fresh population. In this research, an innovative straegy plan for LeNN equalisers utilising FF-PSO is proposed. …”
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Vehicle crash simulation models for reinforcement learning driven crash-detection algorithm calibration by Shahabaz Afraj, Ondřej Vaculín, Dennis Böhmländer, Luděk Hynčík

“…Such unavoidable deviations render the use of virtual simulations ineffective for the calibration process of the algorithms that activate the restraint systems in the event of a crash (crash-detection algorithm). …”
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Lightweight visible damage detection algorithm for embedded systems applied to pipeline automation equipment by Jiale Xiao, Lei Xu, Changyun Li, Ling Tang, Guogang Gao

“…This research is designed for low-power, cost-effective and high-performance pipeline defect inspection in embedded systems. …”
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Modified Floyd–Warshall’s Algorithm for Maximum Connectivity in Wireless Sensor Networks under Uncertainty by Laxminarayan Sahoo, Supriyan Sen, Kalishankar Tiwary, Sovan Samanta, Tapan Senapati

“…A variety of routing protocols and algorithms exist, each related to a particular set of conditions. …”
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The benefits of differential diagnostic algorithm application to the surgical practice through the example of pseudomembranous colitis by L. A. Averyanova, A. A. Baulin, O. A. Baulina, V. A. Baulin, D. D. Lipatova

“…Timely diagnosis allowed the patient to be hospitalized in a specialized hospital and to prescribe adequate treatment according to Clinical recommendations, to exclude possible complications.Conclusions. The diagnostic algorithm presented in the work demonstrated the effectiveness of its application to practice and showed perspectiveness on this direction with further research on other nosologies manifested by abdominal pain syndrome.…”
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Predicting the Matching Possibility of Online Dating Youths Using Novel Machine Learning Algorithm by Karthikeyan Palanisamy, Muthumani Muralidharan

“…In general, speed dating appeals to modern daters who want quick and tangible results in their search for romance. This research project aims to gain insights into forecasting the course of relationships created during initial meetings using cutting-edge Machine Learning (ML) approaches. …”
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LQT-Based Energy-Efficient Control for Intelligent Vehicles Optimized by Adaptive Genetic Algorithm by Xia Hong-Yang, Yang Ming, Luo Jing-Jing, Hong Xi, Xu Wei

“…Existing research on vehicle energy saving primarily focuses on longitudinal control, whereas path tracking control mainly emphasizes control accuracy. …”
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Fault localization for automatic train operation based on the adaptive error locating array algorithm by Yanpeng Zhang, Yuxiang Cao

“…Compared to four mainstream adaptive algorithms of fault localization, the proposed algorithm is less affected by the masking effects caused by multiple faults and requires the fewest number of test cases. …”
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Hybrid algorithm for fault detection in three-phase motors using Principal Component Analysis by Cesar Orellana, Leony Ortiz, Alexander Aguila, Marcelo Garcia, Milton Ruiz

“…This research proposes developing an innovative algorithm for fault detection in three-phase motors using Principal Component Analysis (PCA) and PLECS-Matlab co-simulation. …”
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Algorithm for Finding Feedback in a Problem with Constraints for One Class of Nonlinear Control Systems by Michail G. Dmitriev, Zainelkhriet N. Murzabekov, Gulbanu A. Mirzakhmedova

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IMPLEMENTATION OF THE BIDIRECTIONAL GATED RECURRENT UNIT ALGORITHM ON CONSUMER PRICE INDEX DATA IN INDONESIA by Andjani Ayu Cahaya Tanjung, Dewi Retno Sari Saputro, Nughthoh Arfawi Kurdhi

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