Research on Civil Aviation Airport Site Selection Considering Group Consensus Level Under Large-Scale Uncertain Information by Rui Wang, Jing-Han Zeng, Jing-Yang Huang, Rui Kang, Jiang Yuan, Qing-Wei Zhong

“…The method comprises five key processes: (1) Evaluation process: Based on the constructed multicriteria evaluation system for airport site selection, the q-Rung Orthopair Fuzzy (q-ROF) information is employed to represent evaluations from large-scale decision makers, which effectively characterizes the uncertainty of information and broadens the evaluative scope. (2) Clustering process: A clustering procedure is designed for large-scale q-ROF evaluation data and weight information of criteria, identifying and removing outliers. (3) Consensus reaching process: Considering the characteristics of q-ROF evaluations and multiplicative preference relations, two adaptive consensus reaching algorithms are developed to enhance group consensus levels, thereby improving the rationality of decision-making results. (4) Weight determination process: Criteria and subcriteria weights are calculated using multiplicative preference weighting approach and a deviation maximization model, respectively, derived from aggregated group evaluations. (5) Ranking process: The q-ROF Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) method is applied, in conjunction with the induced q-ROF information integration paradigm, to comprehensively rank the alternative sites. …”
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Discrete Dynamic Modeling Analysis of Engineering Management and Quality Optimization Innovation Mode Based on Big Data Intelligent Algorithm by Xiaowen Zhuang, Chuanbao Wu

“…It mainly uses big data technology to collect and classify the obtained data information and uses discrete dynamic modeling technology to optimize the management system, focus on the management and innovation of green engineering, use big data dynamic modeling technology to build engineering management model, and improve the balance of project model through intelligent planning algorithm. …”
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Assessing an ovarian reserve and risk factors for premature ovarian failure as part of pre-abortion counseling for women under 40 planning to terminate own first pregnancy by L. V. Tkachenko, I. A. Gritsenko, K. Yu. Tikhaeva, N. I. Sviridova, I. S. Gavrilova, V. A. Dolgova

“…The modified section of pre-abortion counseling takes into account the specifics of maternal OR and can improve quality of medical care for women planning to terminate own pregnancy due to more comprehensive information as well as affect the awareness of reproductive plans in the future.…”
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Nurse Scheduling with Joint Normalized Shift and Day-Off Preference Satisfaction Using a Genetic Algorithm with Immigrant Scheme by Chun-Cheng Lin, Jia-Rong Kang, Ding-Jung Chiang, Chien-Liang Chen

“…Such a preference function is capable of equivalently and fairly planning the nurse preference schedule to improve the total satisfaction. …”
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HISTORICAL AND TOPOGRAPHIC MODELING OF THE FIRST SIEGE OF THE ALBAZINSKY PRISON IN 1685. I by Lokhov A.Y., Eremin I.E., Natsvin A.V.

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Forecasting the daily evaporation by coupling the ensemble deep learning models with meta-heuristic algorithms and data pre-processing in dryland by Tonglin Fu, Dong Wang, Jing Jin

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Mapping recent timber harvest activity in a temperate forest using single date airborne LiDAR surveys and machine learning: lessons for conservation planning by G. Burch Fisher, Andrew J. Elmore, Matthew C. Fitzpatrick, Darin J. McNeil, Jeff W. Atkins, Jeffery L. Larkin

“…Effective planning for natural resource management and wildlife conservation requires detailed information on vegetation structure at landscape scales and how structure is influenced by land-use practices. …”
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Binary Classification of Pneumonia in Chest X-Ray Images Using Modified Contrast-Limited Adaptive Histogram Equalization Algorithm by Abror Shavkatovich Buriboev, Akmal Abduvaitov, Heung Seok Jeon

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A metaheuristic approach to model the effect of temperature on urban electricity need utilizing XGBoost and modified boxing match algorithm by Nihuan Liao, Zhihong Hu, Davud Magami

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Optimizing spatial allocation schemes with a focus on carbon fixation services by the integration of GIS and a robust algorithmic approach by Eryan Guo, Jing He

“…The study took typical forest farms in southern China as the research area, constructed a multi-objective forest planning model based on Simulated Annealing Algorithm, and interfaced with geographic information systems. …”
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An unmanned intelligent inspection technology based on improved reinforcement learning algorithm for power large-area multi-scene inspection by Enmin Wang, Xin Meng, Jinglong Yu, Jiechang Wang, Liang Yin

“…To enhance search efficiency and optimize the reinforcement learning algorithm, prior environmental knowledge is added as heuristic information during the initialization process of the standard Q-learning algorithm, mitigating the randomness of early exploration. …”
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Prediction of Earthquake Death Toll Based on Principal Component Analysis, Improved Whale Optimization Algorithm, and Extreme Gradient Boosting by Chenhui Wang, Xiaotao Zhang, Xiaoshan Wang, Guoping Chang

“…Accurate prediction of earthquake fatalities is of great importance for pre-disaster prevention and mitigation planning, as well as post-disaster emergency response deployment. …”
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The Clearing System of Mutual Settlements between Participants of the Innovation-Industrial Cluster by I. V. Novikova, V. V. Smelova, D. V. Sazonova

“…Algorithms for the formation of the optimal plan are given. …”
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Improving Segmentation of MRI Images of Brain Glial Cells Using Fuzzy C-Means Algorithm and Combination of PET Images by Wei Wang, Wu Beibei

“…The proposed method demonstrates improved performance compared to traditional segmentation techniques, providing a robust tool for clinicians to make more informed decisions in diagnosing and planning treatments for gliomas. …”
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COMPUTER SIMULATION OF JUNIOR GYMNASTS’ TRAINING PROCESS by O.M. Khudolii, O.V. Ivashchenko, S.S. Iermakov, O.G. Rumba

“… The purpose of the research is to develop methodological approach to creation of an algorithm of informational provisioning of children’s and adolescents’ training of motor actions. …”
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Aggregated Housing Price Predictions with No Information About Structural Attributes—Hedonic Models: Linear Regression and a Machine Learning Approach by Joanna Jaroszewicz, Hubert Horynek

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ADS-YOLO: A Multi-Scale Feature Extraction Remote Sensing Image Object Detection Algorithm Based on Dilated Residuals by Jianying Li, Yajun Chen, Meiqi Niu, Wenhao Cai, Xiaoyang Qiu

“…To address these issues, we propose an algorithm for multi-scale feature extraction in remote sensing image detection using dilated residuals (ADS-YOLO). …”
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Analyzing Agricultural Land Price Prediction Using Linear Regression and XGBoost Machine Learning Algorithms: A Case Study of Çanakkale by Simge Doğan, Levent Genç, Sait Can Yücebaş, Metin Uşaklı

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Method for Choosing a Balanced Set of Fault Tolerance Techniques for Distributed Computer Cystems by D. Yu. Volkanov

“…The adaptive logic control procedure analyzes the results of evolutionary algorithm work in each generation and, based on this information, adjusts parameters. …”
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RARE: right algorithm for the right errand; a multi-model machine learning-based approach for tourism routes and spots recommendation by Ling Luo

“…Optimizing tourist attractions and routes has become crucial in modern travel planning, driven by the increasing demand for personalized recommendations. …”
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