Mathematical Models and Algorithms of Optimal Load Management of Electricity Consumers by I. U. Rakhmonov, K. M. Reymov

“…Also, algorithms are proposed for accounting for simple and functional constraints in the form of equalities and inequalities when optimizing load profile. …”
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Monte-Carlo Modelling For Evaluation Of Two Different Calculation Algorithms by Baljeet Seniwal, Telma C. F. Fonseca, Ranjit Singh

“…These commercially available algorithms overestimates and underestimates dose values as compared to MC based dose calculation for low and high dose regions specially.…”
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A novel model for malaria prediction based on ensemble algorithms. by Mengyang Wang, Hui Wang, Jiao Wang, Hongwei Liu, Rui Lu, Tongqing Duan, Xiaowen Gong, Siyuan Feng, Yuanyuan Liu, Zhuang Cui, Changping Li, Jun Ma

“…However, a stacking architecture can solve this problem by combining distinct algorithms and models. This study compares the performance of traditional time series models and deep learning algorithms in malaria case prediction and explores the application value of stacking methods in the field of infectious disease prediction.…”
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Anti-Jamming RIS Communications Using DQN-Based Algorithm by Pham Duy Thanh, Hoang Thi Huong Giang, Ic-Pyo Hong

“…The Python simulation results conducted by averaging 10⁴ time slots show that the proposed algorithm is not only able to learn from environment, but also yields better performance than baseline schemes under network changes. …”
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A Comparative Analysis of Visual Localization Algorithms in Indoor Navigation by İ. Yakar, E. Gunaydın, R. A. Kucak, S. Bilgi, M. O. Selbesoglu

“…In this case, it is important the determine the performances of different localization algorithms. In this study, the performance of two different localization algorithms in indoor navigation was tested. …”
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Comparative analysis of image hashing algorithms for visual object tracking by Vitalii Naumenko, Sergiy Abramov, Vladimir Lukin

“…The study also explores the trade-off between accuracy and processing speed for each algorithm considering the constraints of limited computational resources. …”
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Fitness exercise evaluation system based on improved DTW algorithm by Tinghang Guo, Qianhan Yin, Xinlin Liu, Yue Sun, Zhuanping Qin, Yu Han, Guangda Lu

“…The system integrates the K Nearest Neighbor (KNN) algorithm for action recognition and classification. …”
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Sorting misorganized books in libraries based on ant colony algorithm by Ling Chen

“…The global optimization possessed by ant colony algorithm can also make the convergence value of the model close to the optimal value, thereby improving the overall operational efficiency of the model. …”
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An algorithm for automatic fitting and formula assignment in atmospheric mass spectra by V. Mickwitz, O. Peräkylä, F. Graeffe, D. Worsnop, D. Worsnop, M. Ehn

“…Erroneous assignments mainly appeared at low-intensity signals, with interference from nearby higher-intensity signals, a case that is challenging also for manual peak fitting. This algorithm provides an excellent starting point for a peak list, which, if needed, can be manually revised.…”
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An Extended Analysis of the Correlation Extraction Algorithm in the Context of Linear Cryptanalysis by Christoph Graebnitz, Valentin Pickel, Holger Eble, Frank Morgner, Hannes Hattenbach, Marian Margraf

“…For this purpose, the Correlation Extraction Algorithm (CEA), which leverages the emerging field of quantum computing, appears promising. …”
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Comprehensive Adaptive Enterprise Optimization Algorithm and Its Engineering Applications by Shuxin Wang, Yejun Zheng, Li Cao, Mengji Xiong

“…The CAED algorithm is also applied to engineering optimization challenges, like the design of cantilever beams and three-bar trusses. …”
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Application of Artificial Intelligence Algorithms in the Field of Antimicrobial Peptide Prediction by QIAN Yuchen, NIE Ting, HUA Yanming, XU Shiying, GUO Sheng, ZHANG Xin, LUO Xiaohu, LIU Yanan

“…Currently, several specialized databases have been established, providing rich resources for algorithmic model training. Furthermore, multi-source bioinformatics data such as genomics, transcriptomics and proteomics are also widely used to predict antimicrobial peptides, with a view to identifying peptides with potential antimicrobial activity more accurately. …”
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Detection of hydrophobicity grade of insulators based on AHC-YOLO algorithm by Shaotong Pei, Weiqi Wang, Peng Wu, Chenlong Hu, Haichao Sun, Keyu Li, Mianxiao Wu, Bo Lan

“…These achievements not only meet the needs for the detection and classification of composite insulator hydrophobicity but also further demonstrate the effectiveness and superiority of the algorithm through ablation and comparative experiments.…”
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Development of deep learning algorithm for detecting dyskalemia based on electrocardiogram by Jung Nam An, Minje Park, Sunghoon Joo, Mineok Chang, Do Hyoung Kim, Dong Geum Shin, Yeongyeon Na, Jwa-Kyung Kim, Hyung-Seok Lee, Young Rim Song, Yeha Lee, Sung Gyun Kim

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Chronic Kidney Disease Prediction Based On Machine Learning Algorithms by Kethineni Likitha., Nithinchandra, Kumar Narendra, Sk Sajida Sultana.

“…These results not only show how different recommendation algorithms work but also point out the significant influence of hyper parameter tuning on improved predictive precision. …”
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ALGORITHMIC THINKING IN HIGHER EDUCATION: DETERMINING OBSERVABLE AND MEASURABLE CONTENT by Marian Byrka, Andrii Sushchenko, Volodymyr Luchko, Galina Perun, Victoria Luchko

“…The design of the ATCS is also based on algorithmic thinking as a complex phenomenon that integrates five types of thinking: abstract, logical, figurative, conceptual, and constructive. …”
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Predicting Voluntary Auditor Change Using the Water Cycle Algorithm by Erfan Safdel, Hoda Eskandar, Hassan Yazdifar

“…Additionally, these algorithms were run 10 times to ensure the reliability of the results.ResultsIn almost all implementations and based on all 4 performance evaluation criteria, the Water Cycle Algorithm is more suitable than logistic regression for predicting auditor change. …”
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Optimal PID controller with evolutionary optimization algorithms for rehabilitation robots by Kamran Joyo, Talha Ahmed Khan, Kushsairy Abdul Kadir, Mohd Nizam Bin Husen, Haidawati Mohamad Nasir, Munaza Azhar

“…The PID controller tuned using Particle Swarm Optimization (PSO) struck a good balance, with relatively low IAE, moderate overshoot (4.51%), and a decent settling time of 8.28 s. The Firefly algorithm also delivered promising results, achieving the shortest rise time (0.689 s) and a quick settling time (1.08 s), while keeping the overshoot (4.45%) nearly on par with PSO. …”
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Algorithm for continual monitoring of fog based on geostationary satellite imagery by B. Jahani, B. Jahani, B. Jahani, S. Karalus, J. Fuchs, J. Fuchs, T. Zech, M. Zara, M. Zara, J. Cermak, J. Cermak

“…These numbers are very close to those achieved by SOFOS for differentiating FLS from other sky conditions at the tested locations and time spans. These results also showed that the technique's applicability in the study region extends beyond the particular locations and time spans covered by the data points used for training the algorithm.…”
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Simulation study of muon localization based on the LSTM regression algorithm by ZHANG Haifeng, LUO Siyuan, LIU Xiangman, HE Lie, XIAO Wancheng, YIN Longxiang, WANG Ke, ZOU Yuchen, LIU Yuchen, WANG Xiaodong

“…Furthermore, by employing photon number and trigger time as characteristic parameters, the position resolution of a setup involving only 6 SiPMs coupled to the side of the detector also reaches the centimeter level. Remarkably, these results align with the experimental findings obtained from a detector equipped with a photomultiplier tube (PMT) coupled to a large-area plastic scintillator.ConclusionsThis study employs the LSTM regression algorithm as the muon localization method, proposing a detector system structure for plastic scintillators with 6 SiPMs coupled to the side. …”
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