Enhancing circular economy project outcomes via molecular fuzzy-based decision support system by Gang Kou, Serhat Yüksel, Hasan Dinçer, Serkan Eti, Gabriela Oana Olaru, Ümit Hacıoğlu

“…A novel decision-making model is proposed by integrating the Q-learning algorithm, molecular fuzzy sets, cognitive maps, and the Molecular ranking (MORAN) technique. …”
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Experience in Using Low-Dose Computed Tomography in Children and Adolescents with Pulmonary Tuberculosis by I. Yu. Petrakova, S. G. Mikhaylov, I. Е. Tyurin, M. F. Gubkina, M. Yu. Izmaylov

“…LDCT was performed on the Somatom Emotion 16 CT scanner (Siemens, Germany) by filtered backprojection algorithm; SDCT was conducted on the Somatom go.Up CT scanner by iterative reconstruction algorithm. …”
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Treatment of Missing Market Data: Case of bond Yield Curve Estimation by M. S. Makushkin, V. A. Lapshin

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Comparison of Numerical Results With Experiment Using Digital Image Correlation System of Multiobjective Structural Optimised Wind Turbine Blade by Ramazan Özkan, Mustafa Serdar Genç

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Removal of fog from hazy images and their restoration by Vidya Nitin More, Vibha Vyas

“…The proposed algorithm has also been implemented using a Raspberry pi. …”
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The analysis of rural revitalization serviceplatform in smart city under back propagation neural network. by Gongyi Jiang, Weijun Gao, Meng Xu, Mingjia Tong

“…The tourism transportation and safety services are mainly evaluated at level D, and the model can indicate the level of rural revitalization tourism service; (4) Compared with other algorithms, the GRA-BPNN algorithm performs the best in rural revitalization evaluation, with an accuracy of 92.3%, precision of 91.8%, recall rate of 93.7%, and F1 score of 92.7%. …”
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Strategic Decisions in Corporate Travel: Optimization Through Decision Trees by Jose-Mario Zarate-Carbajal, Riemann Ruiz-Cruz, Juan Diego Sánchez-Torres

“…The authors implement the proposed approach using travel data from a real-world company and conduct simulations in various scenarios, comparing the results with the industry standard. This research offers a machine-learning-based approach to determining the optimal advance booking policy for corporate travel.…”
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SOLVING ENGINEERING OPTIMIZATION PROBLEMS WITH THE SWARM INTELLIGENCE METHODS by A. V. Panteleev, M. D. Evdokimova

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Fault Diagnosis and Data Reconstruction of Temperature Sensors for Wind Turbine Stator Winding by Ling Zhou, Qiancheng Zhao, Jinhui Zeng, Anfeng Zhu, Xiafei Long, Ling He

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Evaluation of the effectiveness of defense measures during radiological risk assessment in gynecological brachytherapy by C. C. Dominguez, A. Torres, R. Alfonso

“…The novelty of this research is the implementation of an operational algorithm that improves the analytical capacity of the traditional FMEA approach by allowing the measurement of the effectiveness of defense measures within it. …”
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An Intelligent Track Segment Association Method Based on Characteristic-Aware Attention LSTM Network by Jiadi Qi, Xiaoke Lu, Jinping Sun

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A Three-Dimensional Coverage Path Planning Method for Robots for Farmland with Complex Hilly Terrain by Hanbing Jiang, Ping Yang

“…The experimental results show that this paper’s algorithm can complete full coverage tasks in hilly terrain farmland, and compared with other algorithms, it has obvious advantages in path length, total elevation difference, and other aspects, effectively reducing the energy consumption of the coverage task. …”
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Optimization of Backpropagation (BP) Weight Values Using Particle Swarm Optimization (PSO) to Predict KIP Scholarship Recipients by Dika Kurnia Nanda, Dian Palupi Rini

“…The results of previous studies show that the combination of BP with PSO can improve prediction accuracy compared to using BP alone. Therefore, this research aims to develop a more efficient and targeted prediction model for KIP College scholarship recipients through BP optimization using PSO, so that the selection process can be carried out more quickly and accurately.…”
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Sustainable energy: Advancing wind power forecasting with grey wolf optimization and GRU models by Zainab Al-Ibraheemi, Samaher Al-Janabi

“…Application challenges involve reducing large datasets, grouping them into intervals, and evaluating performance using different compression measures. The main research questions addressed include the suitability of the GWO algorithm for dataset reduction in terms of dimensions (features and records) and the effectiveness of combining GWO with deep learning, specifically GRU, for enhanced prediction results. …”
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Scheme of extending elliptic curve method to three phases by Guiwen LUO

“…Elliptic curve method for integer factorization (ECM) is one of the most popular integer factorization algorithms,and it was firstly proposed by Lenstra in 1985.The original ECM contained just first phase.Since its invention,researches about the algorithm and implementation emerged up,among which the most important improvement is the extension to two phases proposed by Brent and Montgomery.This improvement tremendously strengthened ECM's capacity and efficiency.Elliptic curve method was extended to three phases.Extension method is kind of like “mixing together” the first phase and second phase.Compared to the best current two phases ECM,the new algorithm shows 2 advantages.First,under the same factorization parameters,the proposed algorithm improves the probability of finding out prime factor at the expense of negligible increasement of time.Second,when searching the same prime factor,the proposed algorithm can utilize smaller “smoothness parameters”.…”
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A VNS-NPGA approach to multi-objective optimization of hub-and-spoke logistics network by Changxi Ma, Chuwei Shi, Yun Yang, Yongpeng Zhao, Zhuye Xu, Bo Du

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Multi-criteria decision model for multicircular flight control of unmanned aerial vehicles through a hybrid approach by Noorulden Basil, Hamzah M. Marhoon, Bayan Mahdi Sabbar, Abdullah Fadhil Mohammed, Osamah Albahri, Ahmed Albahri, Abdullah Alamoodi, Iman Mohamad Sharaf, Amare Merfo Amsal, Mahrous Ahmed, Enas Ali, Sherif S. M. Ghoneim

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Application of Machine Learning Techniques to Distinguish between Mare, Cryptomare, and Light Plains in Central Lunar South Pole−Aitken Basin by Frank C. Chuang, Matthew D. Richardson, Jennifer L. Whitten, Daniel P. Moriarty, Deborah L. Domingue

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Examining the Impact of Fingerprint Vector Size on Similarity Determination and Clustering Performance of a Pattern-Based Similarity Metric by Abdulmalik Shehu Yaro, Filip Maly, Pavel Prazak

“…However, as for the correlation-based CSC metric, there is no comprehensive research on how fingerprint vector size affects its performance in similarity determination and subsequently clustering performance. …”
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3-D Trajectory Optimization for Fixed-Wing UAV-Enabled Wireless Network by Alessandro Visintini, Tharindu D. Ponnimbaduge Perera, Dushantha Nalin K. Jayakody

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