Optimizing Blockchain Network Performance Using Blake3 Hash Function in POS Consensus Algorithm by Zainab Abdullah Jasim, Ameer Kadhim Hadi

“…Many blockchain-based systems, including POS algorithms, still employ the widely used SHA256 algorithm for cryptographic hashing. …”
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LIGHTWEIGHT DESIGN OF THE BASE FOR RECIPROCATING PISTON DIAPHRAGM PUMP BASE ON MULTI-OBJECTIVE OPTIMIZATION ALGORITHM by MA WenSheng, FENG ZhiWei, SHEN Yan, SUN ZhongZhi, NIU PeiYu, LIU ChunChuan, LI FangZhong, CHEN Tao

“…The lightweight design of diaphragm pump base structure has an important impact on the processing and production of diaphragm pump.Based on the research of the frame structure of a certain type of diaphragm pump,the equivalent model was established for the actual working environment and the finite element analysis was carried out.The design variables were defined according to analysis results to improve the calculation efficiency.The uniform test design method was adopted for the test design,and the relationship between the design variables and the stress and deformation was calculated through simulation fitting.The lightweight optimization mathematical model was established for the diaphragm pump base structure by using the multi-objective optimization algorithm.On the premise of meeting the performance requirements,some materials were reasonably configured,and the stress,deformation and natural frequency of the diaphragm pump base structure were as small as possible.The frame structure after the lightweight optimization design was simulated and analyzed,and compared with the structure before optimization.The results show that the structural properties of the engine base remain unchanged after lightweight,and the weight is reduced from 25372 kg to 24582 kg,with a weight reduction of 790 kg.The weight reduction effect is good,the maximum stress value is reduced by 45.1%,and the maximum deformation is reduced by 12.3%.The optimization effect is remarkable,which provides a basic support for the finite element analysis and lightweight optimization design of the new diaphragm pump structure.…”
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Simulation of a scalable corridor waning radiance system using fuzzy PID and genetic algorithm by Abdallah Awamu, Jimmy Nabende Wanzala, Michael Robson Atim, Cosmos Dumba

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Prediction of Gasification Process via Random Forest Regression Model Optimized with Meta-Heuristic Algorithms by Eunsung Oh

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The short video platform recommendation mechanism based on the improved neural network algorithm to the mainstream media by Mengruo Qi

“…Video manufacturers hope to enhance user experience and stickiness through recommendation algorithms, while users seek personalized videos to save time and money. …”
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Analysis of the Comprehensive Evaluation Model of Enterprise Technological Innovation Ability Based on Improved Genetic Algorithm by Kuizhen Rong

“…The method combined with the genetic algorithm and the genetic algorithm in MATLAB and the direct search toolbox were employed to comprehensively charge the capabilities of the five sample enterprises, and the evaluation results were objective and credible.…”
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The machine learning algorithm based on decision tree optimization for pattern recognition in track and field sports. by Guomei Cui, Chuanjun Wang

“…In addition, the optimized decision tree algorithm performs well in computational efficiency. …”
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Multi-objective optimization of hybrid microgrid for energy trilemma goals using slime mould algorithm by Alok Kumar Shrivastav, Soham Dutta

“…Compared to conventional metaheuristic such as Particle Swarm Optimization (PSO) and Genetic Algorithm (GA), the SMA achieves a power loss reduction of 12.3% and a levelized cost of energy (LCOE) improvement of 9.8%. …”
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A Fast and Efficient Beamforming Algorithm Imitating Plant Growth Gene for Phased Array Antenna by Jinling Zhang, Chen Han, Zhanqi Zheng, Xiongzhi Zhu, Xiaohui Li

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A new intelligent control strategy for CSTH temperature regulation based on the starfish optimization algorithm by Davut Izci, Serdar Ekinci, Mostafa Jabari, Mohit Bajaj, Vojtech Blazek, Lukas Prokop, Ali Riza Yildiz, Seyedali Mirjalili

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A distributed algorithm for solving large-scale p-median problems using expectation maximization by Harsha Gwalani, Joseph Helsing, Sultanah M. Alshammari, Chetan Tiwari, Armin R. Mikler

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Quantum Approximate Optimization Algorithm for the Max-Cut Problem: JavaScript Programming Language Implementation by Dmytro Sapozhnyk

“…In this paper, we present the implementation of the Quantum Approximate Optimization Algorithm (QAOA) for the Max-Cut problem using the JavaScript programming language. …”
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A genetic algorithm-based ensemble model for efficiently identifying interleukin 6 inducing peptides by Md. Harun-Or-Roshid, Hiroyuki Kurata

“…IL-6–inducing peptides are the short protein fragments that are critical for playing a contributing role in biological processes. Extensive research has advanced the development of IL-6–inducing peptides, but identifying these peptides experimentally remains time-consuming, labor-intensive, and costly. …”
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Adaptive genetic algorithm based deep feature selector for cancer detection in lung histopathological images by Avigyan Roy, Priyam Saha, Nandita Gautam, Friedhelm Schwenker, Ram Sarkar

“…They are an essential tool in the study and understanding of diseases, aiding in research, education, and patient care. Convolutional neural network based pretrained deep learning models can be used successfully to detect lung cancer. …”
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EfficientNet-b0-Based 3D Quantification Algorithm for Rectangular Defects in Pipelines by Di Wu, Yong Hong, Jie Wang, Shaojun Wu, Zhihao Zhang, Yizhang Liu

“…Experimental results demonstrate that when compared to other algorithms, ETDN outperforms them on the identical test set, exhibiting average absolute errors of 0.1920, 0.1809, and 0.2904 for length, width, and depth, respectively.…”
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Application of SVM algorithm in fluid prediction of volcanic reservoirs in Nanpu Sag, Bohai Bay Basin by ZHANG Ying,QU Lili,ZHU Lu,ZHANG Yan,HAN Siyang,ZENG Cheng

“…The research shows that: ① Comprehensive application of core, well logging, mud logging and other data to optimize fluid sensitive characteristic parameters, single information sensitive parameters are acoustic time difference, compensation density, resistivity, multi-information fusion parameters are natural gamma relative value, total hydrocarbon Ratio, hydrocarbon gas density index, hydrocarbon gas humidity index, the above seven parameters participate in the model establishment; ②Using the SVM algorithm for volcanic fluid prediction, the reservoir fluid is divided into three types: oil layer, oil-water layer and water layer. …”
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An Interval Parameter Calculation Method of Asphalt Pavement Structure Design Based on Point Numerical Algorithm by Limin Tang, Xiuyan Zhao

“…The article analyzes the algorithm of interval numbers, focusing on the analysis of interval numbers of unary and binary functions. …”
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Lightweight Hybrid Cryptography Algorithm for Wireless Body Area Sensor Networks Using Cipher Technique by Aizaz Raziq, Kashif Naseer Qureshi, Asfand Yar, Kayhan Zrar Ghafoor, Gwanggil Jeon

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A Systematic Review of Machine Learning Algorithms for Soil Pollutant Detection Using Satellite Imagery by Amir TavallaieNejad, Maria Cristina Vila, Gustavo Paneiro, João Santos Baptista

“…This work provides a foundation for future research, encouraging the integration of advanced ML models and multi-sensor satellite data for comprehensive soil pollution monitoring.…”
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Review on Maximum Power Point Tracking Control Strategy Algorithms for Offshore Floating Photovoltaic Systems by Lei Huang, Baoyi Pan, Shaoyong Wang, Yingrui Dong, Zihao Mou

“…Currently, there is limited research in this area, and few reviews analyze it comprehensively. …”
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