Predicting algorithm of attC site based on combination optimization strategy by Zhendong Liu, Xi Chen, Dongyan Li, Xinrong Lv, Mengying Qin, Ke Bai, Zhiqiang He, Yurong Yang, Xiaofeng Li, Qionghai Dai

“…Here, we design an attC site prediction algorithm based on a combination optimisation strategy. …”
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Reputation-Based Leader Selection Consensus Algorithm with Rewards for Blockchain Technology by Munir Hussain, Amjad Mehmood, Muhammad Altaf Khan, Rabia Khan, Jaime Lloret

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An image quality assessment algorithm based on ‘global + local’ feature fusion by Yang Yang, Norisma Binti Idris, Ainuddin Wahid Abdul Wahab, Dingguo Yu, Chang Liu

“…This study proposes an image quality assessment algorithm based on global-local feature fusion (IQA-GL). …”
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SOLUTION OF FULLY FUZZY NONLINEAR EQUATION SYSTEMS USING GENETIC ALGORITHM by Fatimatuzzahra Fatimatuzzahra, Aang Nuryaman, La Zakaria, Agus Sutrisno

“…The solution of non-linear equation systems is usually complicated to solve analytically, so numerical methods are used as an alternative to solve these problems. In this research, the steps to find the solution of nonlinear fully fuzzy equation systems using genetic algorithms are studied, which in the solution process is based on the theory of evolution and natural selection. …”
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PERFORMANCE COMPARISON OF CLASSICAL ALGORITHMS AND DEEP NEURAL NETWORKS FOR TUBERCULOSIS PREDICTION by Gilgen Mate Landry, Rodolphe Nsimba Malumba, Fiston Chrisnovi Balanganayi Kabutakapua, Bopatriciat Boluma Mangata

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Improved CNN-GRU algorithm application in enterprise legal consultation system by Xuejie Zhao

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YOLO-SWD—An Improved Ship Recognition Algorithm for Feature Occlusion Scenarios by Ruyan Zhou, Mingkang Gu, Haiyan Pan

“…In this research, we propose a ship detection and recognition algorithm based on YOLOv11. …”
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Hybrid strategy enhanced crayfish optimization algorithm for breast cancer prediction by Yu-Jiong Li

“…To address these issues, the current research introduces a hybrid strategy enhanced crayfish optimization algorithm (MSCOA). …”
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Application of machine learning algorithm to predict the behavior of stocks marketed in Brazil by Gabriel Donadio Costa, Rogério João Lunkes

“…This work analyzes the application of machine learning algorithms in the selection of portfolios in the Brazilian market. …”
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Development of Traditional Algorithm Used in Denoising to Enhance Contrast of the Color Images by Hanan Ali, Esraa Al-Majed, Asmaa Nadhim, Rahma Saleem

“…With the evolution of life and complexity there is a need to use the images in many scientific fields weather forecast, medical, engineering, and the fact that these images are a lot of distortion during capture due to the availability of cameras and Rate in abundance and in the hands of people who do not have enough experience in how to capture images in terms of quality lighting and distribution has become important use a variety of methods to improve these images show the best form of these methods and improve the image contrast (Contrast Enhancement). In this research applied  traditional algorithm filter to improve the <strong>Adaptive Contrast Enhancement</strong> Global  Filter (ACE _mean) and has been the development of this algorithm to a new two Hybrid algorithms to improve the contrast Enhancement (<strong>Median Contrast Enhancement</strong> ACE_median) and the other algorithm is (<strong>Max & Min Contrast Enhancement ACE_max&min</strong>). the two hybrid algorithms obtained from merging two available methods, first is the traditional algorithm (ACE_mean)  with the second methods of another practice in improving the image is (<strong>Smoothing Images Enhancement</strong>) which is used to removing the noise from images .the results of each method were compared with the results of  other algorithms to show the best of them.…”
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Complex Network Algorithm for Glossary Formation Context-Related Predictive Terms by Oleg Popov, Adrian Grosu, Sergey Kramarov

“…These terms were ranked using the average score of two algorithms - PageRank and HITS. The algorithm's operation was visualized using the example of generating a graph from the primary term "Quantum computing". …”
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Improved salp swarm algorithm based optimization of mobile task offloading by Aishwarya R., Mathivanan G.

“…Therefore, this study presents an improved salp swarm algorithm-based Mobile Application Offloading Algorithm (ISSA-MAOA) technique for MEC. …”
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WiFi Indoor Positioning Based on EGA-PF and Fernet Algorithm by Yanchun Wang, Shaoye Sun, Fengjuan Miao, Ying Xia

“…Secondly, the above algorithms reflect the problem of large system variance and unstable results when dealing with too much noise or incomplete data. …”
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Statistically based algorithm for differential diagnosis of arthropathies based on quantitative osteoscintigraphy by E. G. Prokhorova, E. A. Shikina, G. E. Zhilyaev, E. V. Zhilyaev

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Athlete movement control training based on dynamic time warping algorithm by Luo Dai, Yueqiang Zhao

“…Improving the dynamic time-warping algorithm avoided horizontal or vertical distortion during the action-matching process. …”
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Novel nonlinear wind power prediction based on improved iterative algorithm by Fu Zhen-yu, Lin Gui-quan, Tian Wei-da, Pan Zhi-hao, Zhang Wei-cong

“…To effectively improve the accuracy of wind power prediction and reduce the load on the power grid, a new nonlinear wind power prediction model based on an improved iterative learning algorithm was investigated. Firstly, the actual wind conditions are equated to a non-linear model. …”
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Structural Damage Identification Using Novel Objective Functions and Metaheuristic Algorithms by Moeinoddin Rokhsati, Mohamad Mohamadi Dehcheshmeh, Gholamreza Ghodrati Amiri, Morteza Raissi Dehkordi

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Application of Metaheuristic Algorithms and ANN Model for Univariate Water Level Forecasting by Sarah J. Mohammed, Salah L. Zubaidi, Nadhir Al-Ansari, Hussein Mohammed Ridha, Anmar Dulaimi, Ruqayah Al-Khafaji

“…With the rapid development of machine learning (ML) models, the artificial neural network (ANN) is being increasingly applied for forecasting hydrological processes. However, researchers have not treated hybrid ML models in much detail. …”
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Pairwise Heuristic Sequence Alignment Algorithm Based on Deep Reinforcement Learning by Yong-Joon Song, Dong Jin Ji, Hyein Seo, Gyu-Bum Han, Dong-Ho Cho

“…<italic>Conclusions:</italic> This research shows the application method of deep reinforcement learning to the sequence alignment system and how deep reinforcement learning can improve the conventional sequence alignment method.…”
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Sara Detection on Social Media Using Deep Learning Algorithm Development by M. Khairul Anam, Lucky Lhaura Van FC, Hamdani Hamdani, Rahmaddeni Rahmaddeni, Junadhi Junadhi, Muhammad Bambang Firdaus, Irwanda Syahputra, Yuda Irawan

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