Enhancing sustainable urban design using machine learning: comparative analysis of seven metaheuristic algorithms in energy-efficient digital architecture by Mazin Arabasy, Rehab Salaheldin Ghoneim

“…Metaheuristics optimization algorithms used in this research include PSO, ACO, GA, and SA and represent effective approaches toward reaching an optimal or near-optimal solution for decision variables with an intention to improve energy efficiency, increasing indoor comfort whilst reducing the carbon footprint of building operations. …”
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Usage, anti-inflammatory effect and safety of adjunctive acupuncture for cerebral infarction: an Apriori algorithm-based data mining and meta-analysis by Fangfei Yu, Shuang Li, Zunjiang Li, Zunjiang Li, Zunjiang Li, Zhaofan Mo, Rong Liu, Jiaying Zhao, Banghan Ding, Banghan Ding, Wei Yi, Wei Yi, Nenggui Xu, Nenggui Xu

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Development and validation of an algorithm to estimate the risk of severe complications of COVID-19: a retrospective cohort study in primary care in the Netherlands by Martijn W Heymans, Amber A van der Heijden, Petra J M Elders, Giel Nijpels, Karin M A Swart, Koos van der Velden, Joline W J Beulens, Ron M C Herings, Bernard A M van der Zeijst, Eric G Hiddink, Reinier A R Herings, Hein P J van Hout

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Architectural design visual information mining system based on image processing technology by Pan Junyu

“…Therefore, the field of architectural design has also received more attention from relevant researchers. At the same time, the further development of social economy in the new era also puts forward more requirements for architectural design in the construction industry, which urges researchers to conduct in-depth research on existing architectural design. …”
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A Bionic-Based Multi-Objective Optimization for a Compact HVAC System with Integrated Air Conditioning, Purification, and Humidification by He Li, Bozhi Yang, Xinyu Gu, Wen Xu, Xuan Liu

“…This study is dedicated to the development of a multifunctional device that integrates air conditioning, humidification, and air purification functions, aimed at meeting the demands for energy efficiency, space-saving, and comfortable indoor environments in modern residential and commercial settings. The research focuses on achieving a balance between performance, energy consumption, and noise levels by combining bionic design principles with advanced optimization algorithms to propose innovative design and optimization methods. …”
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Comparison of K-Nearest Neighbor, Support Vector Machine, Random Forest, and C 4.5 Algorithms on Indoor Positioning System by M Rizky Astari, Muhammad Taufiq Nuruzzaman, Bambang Sugiantoro

“…Because WiFi Access Point signals are frequently employed in multiple studies, they are used as research material. This study compares the classification algorithms KNN, SVM, Random Forest, and C 4.5 to see which algorithm provides more accurate calculations. …”
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Multi-objective Optimization Configuration of Capacitor Blocking Devices Based on Field-Circuit Coupled Model and Improved Differential Evolution Algorithm by Hongwei LIU

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Intelligent Operation Dynamic Characteristics of Heat Pump System in Integrated Electric-thermal Cooperative Grid Based on Game Optimization Algorithm by Liang Anqi, Zeng Shuang, Ren Jiahang, Zhang Xinyue, Cao Feng, Yu Xiaoling, Song Yulong, Xing Qijing, Yang Xu, Ma Lin

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Simulation of Two Stands Cold Rolling Mill Process Using Neural Networks and Genetic Algorithms in Combination to Avoid the Chatter Phenomenon by Behzad Bahraminejad, Mehrdad Dehghani, Sayed Ali Mousavi

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Economic Scheduling Problem of Nanomaterial Import and Export Trade Based on Redundant Data Compression Algorithm and Its Parameter Adjustment Method by Lihong Lu, Daixin Wang

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Exploring the Potential of Blockchain Data as Pseudorandom Numbers for Microtonal Algorithmic Composition. A Case Study on Blockchain Music 2.5 by Krzysztof Kicior

“…We also discuss the implications, challenges, and potential future directions of incorporating blockchain-generated numbers in algorithmic music composition. The research expands the landscape of digital music composition techniques and offers new avenues for leveraging blockchain technology in the domain of creative expression.…”
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Characterisation of Human Exhaled Breath Gases for Chronic Obstructive Pulmonary Disease Utilising an E-Nose Sensor and the Bi-LSTM Algorithm by Nilakshi Maruti Mule, Dipti Durgesh Patil

“…The gas sensor array was non-invasive, economical, and provided a quick response. Research has shown that the VOC profiles of COPD patients differ from those of healthy controls, indicating that the E-nose system may serve as a viable diagnostic tool for COPD patients. …”
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A modified three-term of Dai–Yuan type derivative-free algorithm for nonlinear monotone equations with signal recovery problems by Aliyu Yusuf, Nibron Haggai Manjak, Abubakar Muhammad Kwami, Mohammed Abdulhameed

“…A lot of researchers have introduced iterative schemes for solving convex constrained nonlinear monotone equations. …”
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A Novel Hyper-Heuristic Algorithm with Soft and Hard Constraints for Causal Discovery Using a Linear Structural Equation Model by Yinglong Dang, Xiaoguang Gao, Zidong Wang

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Tanzanian sign language recognition system for an assistive communication glove sign tutor based on the inertial sensor fusion control algorithm by Isack Bulugu

“…In this paper, a sign language recognition scheme based on an inertial sensor fusion control algorithm is proposed to achieve efficient and accurate real-time sign language recognition. …”
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Protein secondary structure determined from independent and integrated infra-red absorbance and circular dichroism data using the algorithm SELCON by Søren Vrønning Hoffmann, Nykola C. Jones, Alison Rodger

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Sentiment Analysis of User Reviews of the KitaLulus Application on Google Play Store using the Support Vector Machine (SVM) Algorithm by Ahmad Syaifudin Agil Rafsanjani, Diana Laily Fithri, Supriyono Supriyono

“…This study aims to analyze user sentiment toward the KitaLulus application using the Support Vector Machine (SVM) algorithm, combined with the Synthetic Minority Over-sampling Technique (SMOTE) to address class imbalance in sentiment data. …”
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Using a Solution Construction Algorithm for Cyclic Shift Network Coding under Multicast Network to the Transformation of Musical Performance Styles by Xiuqin Wang, Jun Geng, Zhiyuan Li

“…This paper presents a theoretical framework of the circular shift network coding system through the study of nonmultiple clustered interval music performance style conversion and the analysis of music conversion by using circular shift topology, and a series of basic research results of circular shift network coding is obtained under this framework. …”
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Modeling and Predicting the Changes in Hearing Loss of Workers with the Use of a Neural Network Data Mining Algorithm: A Field Study by Sajad ZARE, Mohammad Reza GHOTBIRAVANDI, Hossein ELAHISHIRVAN, Mostafa Ghazizadeh AHSAEED, Mina ROSTAMI, Reza ESMAEILI

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Modeling uncertainties associated with decision-making algorithms based on similarity measures of possibility belief interval-valued fuzzy hypersoft setting by Mamika Ujianita Romdhini, Faisal Al-Sharqi, R.H. Al-Obaidi, Zahari Md. Rodzi

“…Alongside an analytical study of the advantages and disadvantages of this model, we provide suggestions for future research based on the identi ed limitations.…”
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