The Research on Low Carbon Logistics Routing Optimization Based on DNA-Ant Colony Algorithm by Liyi Zhang, Ying Wang, Teng Fei, Hongwei Ren

“…As the energy conservation and emission reduction and sustainable development have become the hot topics in the world, low carbon issues catch more and more attention. …”
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Study of algorithmic approaches to digital signal filtering and the influence of input quantization on output accuracy by Shermuradova Malika, Gadoeva Mavlyuda, Rahmatov Shukhrat, Abdullaev Uktamjon, Aralov Dilshod

“…This article explores the design and application of intelligent control systems tailored for industrial and production environments, with a particular focus on integrating advanced digital filtering and noise reduction strategies. Traditional adaptive control systems often struggle to maintain flexibility and responsiveness in uncertain and dynamic conditions. …”
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Application of Neuro-Wavelet Algorithm in Ultrasonic-Phased Array Nondestructive Testing of Polyethylene Pipelines by Reza Bohlouli, Babak Rostami, Jafar Keighobadi

“…In the final step, all the feature vectors are classified through a backpropagation-based ANN algorithm. The obtained results show that the proposed algorithms are highly reliable and also precise for NDT monitoring.…”
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A lightweight algorithm for steel surface defect detection using improved YOLOv8 by Shuangbao Ma, Xin Zhao, Li Wan, Yapeng Zhang, Hongliang Gao

“…The experimental results indicate that these enhancements have led to a reduction of 37% in calculation amount for the improved YOLOv8n algorithm, a decrease of 32% in parameter count, and an increase in average detection accuracy ( mAP ) by 1.2%. …”
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Resistance or compliance? The impact of algorithmic awareness on people's attitudes toward online information browsing by Ying Yuan, Yin Shi, Ti Su, HanXuan Zhang

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Fast moving table tennis ball tracking algorithm based on graph neural network by Tianjian Zou, Jiangning Wei, Bo Yu, Xinzhu Qiu, Hao Zhang, Xu Du, Jun Liu

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Intelligent Assessment Systems in Medical Education: A Systematic Review by MAJID ALIZADEH, MARYAM JAFAR SAMERI

“…Introduction: Using Intelligent Assessment Systems (IAS) in medical education has garnered attention as an advanced tool for enhancing educational processes and student evaluation. …”
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Enhancing LoRaWAN Performance Using Boosting Machine Learning Algorithms Under Environmental Variations by Maram A. Alkhayyal, Almetwally M. Mostafa

“…The findings show that boosting algorithms, particularly LightGBM, are highly effective for path loss prediction in LoRaWANs.…”
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Multi-Source Data-Driven Terrestrial Multi-Algorithm Fusion Path Planning Technology by Xiao Ji, Peng Liu, Meng Zhang, Chengchun Zhang, Shuang Yu, Bing Qi, Man Zhao

“…A dynamic-heuristic A* algorithm is proposed, incorporating traffic signals and congestion penalties, and is enhanced by a DQN-based local decision module to improve adaptability to dynamic environments. …”
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An Algorithm for Simplifying 3D Building Models with Consideration for Detailed Features and Topological Structure by Zhenglin Li, Zhanjie Zhao, Wujun Gao, Li Jiao

“…Compared to the QEM algorithm and the other two comparison algorithms selected in this paper, the simplified model resulting from this algorithm exhibit a reduction in Hausdorff distance, mean error, and mean square error to varying degrees. …”
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AOF: An adaptive algorithm for enhancing RPL objective function in smart agricultural IoT networks by Abubakar Wakili, Sara Bakkali

“…This paper presents the Adaptive Objective Function (AOF), an innovative algorithm designed to dynamically adjust the OF in real-time, responding to fluctuating network conditions and application requirements. …”
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Development of HTC-DBSCAN: A Hierarchical Trajectory Clustering Algorithm with Automated Parameter Tuning by Dae-Han Lee, Joo-Sung Kim

“…Density-Based Spatial Clustering of Applications (DBSCA) applies to many research fields; using the DBSCA with Noise (DBSCAN) algorithm, we propose an improved DBSCAN algorithm that automatically determines the parameters Epsilon and MinPts. …”
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Color image hybrid noise filtering algorithm based on deep convolution neural network by Yongfei Yu, Yuanjian Yan

“…According to the characteristics of color and the needs of human vision, mathematical algorithms are used to convert images into machine recognizable data. …”
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A new metaheuristic algorithm for solving multi-objective single-machine scheduling problems by Khraibet Tahani Jabbar, Kalaf Bayda Atiya, Mansoor Wafaa

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Modified rainflow algorithm for temperature-time-dependent counting in lifetime estimation of power devices by Renata O. de Sousa, Rodrigo C. de Barros, William C. S. Amorim, Allan F. Cupertino, Heverton Augusto Pereira, Lenin M. F. Morais

“…Across all case studies, the utilization of the modified rainflow algorithm resulted in a damage reduction exceeding 53\%. %. …”
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Development of an Algorithm for Semantic Segmentation of Earth Remote Sensing Data to Determine Phytoplankton Populations by Yu. V. Belova, I. F. Razveeva, E. O. Rakhimbaeva

“…Various algorithms for semantic segmentation are described in the literature. …”
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Groundwater estimation and determination of its probable recharge source in the Lower Swat District, Khyber Pakhtunkhwa, Pakistan, using analytical data and multiple machine learni... by Imran Ahmad, Ibrar Ul Haq, Mansoor Ahmad, Iram Gul, Mursaleen Khan, Khushnuma Khushnuma, Ubaid Ullah, Maqsood Ur Rehman, Mohamed Metwaly

“…Furthermore, predicted zones for potential water wells were marked in model wells using artificial intelligence (AI) and machine learning techniques.…”
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Denoising and Voxelization for Finite Element Analysis: A Review by Sara Gonizzi Barsanti

“…The conservation of cultural heritage is fundamental, and it is difficult to predict how heritage objects will relate with structural damages. …”
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Load optimization of cogeneration units based on intuitive multi-objective fish swarm algorithm by Xueqiang Shen, Jiaxin Wang

“…A cogeneration unit model incorporating operational characteristics and historical data demonstrates the method’s efficacy: multi-objective balance is maintained across iterations, achieving a 1.41% thermoelectric load increase and 1.54% optimal coal consumption reduction. The algorithm reduces heat/electricity losses and operational costs under diverse conditions while enhancing load utilization rates. …”
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A HYBRID ELLIPTIC CURVE AND DATA ENCRYPTION STANDARD ALGORITHM FOR SECURE DATA COMMUNICATION by Samuel N. John, Etinosa Noma-Osaghae, Danjuma Sunday Shadrach, Adati Elkanah Chahari, Chiroma Libra Wamdeo, Ime Ukeme Udioko

“…It contributes significantly to the field by addressing the limitations of individual encryption algorithms, ensuring higher security at the cost of minimal performance reduction.…”
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