Improved snow geese algorithm for engineering applications and clustering optimization by Haihong Bian, Can Li, Yuhan Liu, Yuxuan Tong, Shengwei Bing, Jincheng Chen, Quance Ren, Zhiyuan Zhang

Subjects: “…Snow geese algorithm…”
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Improved Image Compression Scheme Using Hybrid Encoding Algorithm by Yusra Ahmed Salih, Aree Ali Mohammed, Loay Edwar George

“…In this work, an effective compression method for hybrid images is proposed based on the discrete wavelet transformation and hybrid encoding algorithm (Huffman and SPIHT). This paper's primary participation is to take advantage of the hybrid encoding technique to maintain the quality of the reconstructed image and the reduction of time complexity. …”
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Enhanced zebra optimization algorithm and applications of power allocation in SDWN by LI Jiajia, DONG Ligang, JIANG Xian

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Peningkatan Kinerja Jaringan Dengan Menggunakan Multi-Rule Algorithm by Tanwir Tanwir, Parma Hadi Rantelinggi, Sri Widiastuti

“…To overcome this problem a combination of Multi-Rule Algorithm cache replacement algorithms is performed, in the form of a double combination algorithm FIFO-LRU and triple FIFO-LRU-LFU. …”
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Diagnostic Algorithm for Joint Pain in Patients with Inflammatory Bowel Disorders by A. I. Dolgushina, G. M. Khusainova, O. B. Nesmeyanova, N. V. Kirsh, O. V. Solovieva, E. A. Bogdanova

“…Aim. An algorithm development for joint pain differential diagnosis in patients with inflammatory bowel disorders (IBD) and its validation in clinical practice.Materials and methods. …”
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Investigating of Machine Learning Based Algorithms for Liver Cirrhosis Prediction by Young Choi, Eunsung Oh

“…This paper presents a study on utilizing machine learning algorithms for predicting liver cirrhosis with a focus on enhancing accuracy rates. …”
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Multijunction solar cell parameter estimation based on metaheuristic algorithms by Marwa M. Elzalabani, Doaa M. Atia, Aref Y. Eliwa, Belal A. Abou Zalam, Mahmoud S. AbouOmar

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An algorithm for cardiac disease detection based on the magnetic resonance imaging by Heng Li, Qingni Yuan, Yi Wang, Pengju Qu, Chunhui Jiang, Hu Kuang

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Prediction of growth and feed efficiency in mink using machine learning algorithms by A. Shirzadifar, G. Manafiazar, P. Davoudi, D. Do, G. Hu, Y. Miar

“…The XGB algorithm can be an accurate algorithm to predict the ADG, FCR, and RFI values without measuring costly daily feed intake. …”
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Comparisons of performances of structural variants detection algorithms in solitary or combination strategy. by De-Min Duan, Chinyi Cheng, Yu-Shu Huang, An-Ko Chung, Pin-Xuan Chen, Yu-An Chen, Jacob Shujui Hsu, Pei-Lung Chen

“…Interestingly, expanding the number of algorithms from three to five in the combination did not enhance performance, highlighting the efficiency of a well-chosen ensemble over a larger algorithmic pool.…”
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A New Pipeline for Snooping Keystroke Based on Deep Learning Algorithm by Massimo Orazio Spata, Valerio Maria Russo, Alessandro Ortis, Sebastiano Battiato

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PREDICTION OF TELECOM SERVICES CONSUMERS CHURN BY USING MACHINE LEARNING ALGORITHMS by Edin Osmanbegović, Anel Džinić, Mirza Suljić

“…Some of the most commonly used machine learning algorithms for this issue are Logistic Regression, Gaussian Naive Bayes, Bernoulli Naive Bayes, Decision Tree, and Random Forest. …”
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A Survey of Nature-Inspired Meta-Heuristic Algorithms in Network Alignment by Anagh Awal, Farsuram Pandit

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Numerical algorithm for solving parabolic identification problem with mixed boundary condition by Charyyar Ashyralyyev, Tazegul Ashyralyyeva

“…Stability estimates for the solution of identification problem with mixed boundary conditions are obtained. Numerical algorithm for solving this inverse problem are proposed. …”
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PREDICTION OF TELECOM SERVICES CONSUMERS CHURN BY USING MACHINE LEARNING ALGORITHMS by Edin Osmanbegović, Anel Džinić, Mirza Suljić

“…Some of the most commonly used machine learning algorithms for this issue are Logistic Regression, Gaussian Naive Bayes, Bernoulli Naive Bayes, Decision Tree, and Random Forest. …”
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Algorithm of management of patients with acute cholestatic hepatitis (Clinical case presentation) by T. A. Deyeva, Ye. N. German, M. V. Mayevskaya, V. T. Ivashkin

“…To show diagnostic and treatment algorithm for patients with cholestatic syndrome by the example of clinical case.Features of clinical case. …”
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APPLICATION OF ARTIFICIAL INTELLEGENCE ALGORITHMS TO CONTROL THE USE OF FLOOD-PRONE AREAS by Konstantin A. Kurganovich, Andrey V. Shalikovskiy, Maksim A. Bosov, Denis V. Kochev

“…The analysis of satellite images, being a laborious task, can be automated through the use of specially trained convolutional neural networks of semantic segmentation based on the algorithm proposed in this article. In this work, on the previously identified flooding zones, using remote sensing data, development objects are automatically determined (segmented) for different times and, by combining information at different times, an assessment of the intensity of this construction in the inter-flood period is made. …”

Machine Learning Algorithm for Estimating Surface PM2.5 in Thailand by Pawan Gupta, Shanshan Zhan, Vikalp Mishra, Aekkapol Aekakkararungroj, Amanda Markert, Sarawut Paibong, Farrukh Chishtie

“…Abstract We have used NASA’s Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA2) reanalysis data of aerosols and meteorology into a machine learning algorithm (MLA) to estimate surface PM2.5 concentration in Thailand. …”
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Improvement of Specific Multi-target Tracking Algorithm in Cross-domain Environment by MU Xiaofang, LI Hao, LIU Jiaji, LIU Zhenyu, LI Yue

“…[Findings] In the comparative ablation tests, the MOTA value of the improved algorithm reached 62.8%, and the IDswitch value was also significantly reduced.…”
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A Comparison of Penguin Swarm Optimization Algorithms for Enhancing Network Throughput by Talha Akhtar, Najmi Ghani Haider, Nadeem Kafi Khan, Rashid Uddin

“…The magnitude of body heat radiation the penguin produces is correlated with its heat strength. The Penguin Search algorithm (PeSO), another algorithm inspired by penguins, has demonstrated vital efficacy in dropping response times and queue lengths on nodes with the highest fitness values. …”
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