Research on territorial spatial planning based on data mining and geographic information visualization by Wang Yingqiao

“…This article selects the clustering algorithm and decision tree in data mining technology, combines them organically, and puts forward spatial data mining. …”
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Multivariate time series clustering analysis of the Global Dietary Database to uncover patterns in dietary trends (1990–2018) by Adriano Matousek, Tiffany H Leung, Herbert Pang

“…Time series clustering algorithms are different from simple clustering approaches in their ability to appreciate temporal elements. …”
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Landslide susceptibility evaluation and determination of critical influencing factors in eastern Sichuan mountainous area, China by Lin Zhang, Zhengxi Guo, Shi Qi, Tianheng Zhao, Bingchen Wu, Peng Li

“…Furthermore, we employed SHAP algorithm and Structural Equation Models to quantify the relative importance and explanatory power of these factors on shallow landslide susceptibility and to clarify the interaction mechanisms among various factors in Huaying Mountain. …”
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A cluster randomized trial of a Multicomponent Clinical Care Pathway (MCCP) to improve MASLD diagnosis and management in primary care: study protocol by Kyler M. Godwin, Larissa Grigoryan, Aaron P. Thrift, Hao Duong, Fasiha Kanwal, Traber Giardina, Himabindu Kadiyala, Andrew Zimolzak, Kavish R. Patidar, Hashem B. El-Serag

“…We previously validated the MASLD clinical care pathway (MCCP), a multistep algorithmic process geared to support primary care settings in screening, diagnosis, risk stratification, and suggested referral and treatment of patients with MASLD. …”
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Land Management Dynamics in Social Forestry Permit Using LandTrendr Algorithm: A Case Study in Tuar Tana Community Forest, East Nusa Tenggara Province, Indonesia by Heru Budi Santoso, Wahyu Wardhana, Ronggo Sadono

“…This study aims to investigate the dynamics of land management by monitoring the level of disturbance and recovery in social forestry areas before and after the permit using the LandTrendr algorithm and the Normalized Burn Ratio (NBR) index. …”
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Bio-Inspired Multiobjective Optimization for Designing Content Distribution Networks by Gerardo Goñi, Sergio Nesmachnow, Diego Rossit, Pedro Moreno-Bernal, Andrei Tchernykh

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Introducing an Evolutionary Method to Create the Bounds of Artificial Neural Networks by Ioannis G. Tsoulos, Vasileios Charilogis, Dimitrios Tsalikakis

“…From the conducted experiments, it appears that the proposed method reduced the average classification error by 30%, compared to the genetic algorithm, and the average regression error by 45%, as compared to the genetic algorithm.…”
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Deciphering the impact of sepsis phenotypes on improving clinical outcome predictions: a multicenter retrospective analysis based on critical care in China by Luyao Zhou, Weimin Zhang, Min Shao, Cui Wang, Yu Wang

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Adaptive Freeform Optics Design and Multi-Objective Genetic Optimization for Energy-Efficient Automotive LED Headlights by Shaohui Xu, Xing Peng, Ci Song

“…In addressing the design imperatives of automotive headlight miniaturization and energy conservation, this paper puts forth a design methodology for vehicle lighting systems that is predicated on free surface optics and an intelligent optimization algorithm. The establishment of the energy mapping relationship between the light source surface and the target surface is predicated on relevant performance standards. …”
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Risk Factors and Prediction Model for Postoperative Pneumonia Following Hip Arthroplasty in Older Adults by Xiang B, Zhang J, Deng C, Yang H, Qian L, Zhang W

“…It often results in delayed recovery, prolonged hospital stays, and increased perioperative mortality rates.Objective: To analyze the risk factors for postoperative pneumonia in older adults undergoing hip arthroplasty and develop a nomogram-based prediction model using perioperative variables.Methods: A retrospective analysis was performed on 308 older adults who underwent hip arthroplasty. Relevant clinical data were collected and recorded. …”
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Understanding temperature-rain data using ID3 based concept reduction technique in FCA by S. Usharani, S. Kaspar

“…In this process an ID3 algorithm based method is employed to identify more important features from the context. …”
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Quasi-Viral Technologies as the Drivers of the Economy Digital Transformation Towards sustainability by Leonid Melnyk, László Vasa, Satyanand Singh, Oleksandr Kubatko, Lyudmila Kalinichenko

“…The relevance of the article is related to the phenomenon of quasi-viral technologies, which are the drivers of the phase transition to sustainable development. …”
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Advanced Deep Learning Approaches in Detection Technologies for Comprehensive Breast Cancer Assessment Based on WSIs: A Systematic Literature Review by Qiaoyi Xu, Afzan Adam, Azizi Abdullah, Nurkhairul Bariyah

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The Digital Era and the Evolution of Media Paradigms: A Critical Review of the Adaptation of Old Media in New Media Ecosystems by Yusnaini Yusnaini, Hayatun Nufus, Rahmat Saleh, Wahyu Adi Setyo Wibowo

“…Despite this, traditional media still strives to maintain its relevance in the increasingly complex digital media ecosystem. …”
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Machine learning-based prediction of short- and long-term mortality for shared decision-making in older hip fracture patients: the Dutch Hip Fracture Audit algorithms in 74,396 cas... by Hidde Dijkstra, Cathleen S Parsons, Hanne-Eva VAN Bremen, Hanna C Willems, Anne A H De Hond, Barbara C van Munster, Job N Doornberg, Jacobien H F Oosterhoff

“…Predictive variables were selected based on the literature and/or clinical relevance. 6 ML algorithms, including logistic regression, were trained with internal cross-validation and evaluated on discrimination (c-statistic), sensitivity, specificity, calibration, and interpretability. …”
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Introduction to coded discrimination by Tasić Anđelija

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Clinical Recommendations for the Diagnosis and Treatment of Chronic Myeloid Leukemia by AG Turkina, AYu Zaritskii, VA Shuvaev, EYu Chelysheva, EG Lomaia, EV Morozova, AK Golenkov, TI Pospelova, OA Shukhov, MS Fominykh, GA Gusarova, LA Kuz’mina, AO Abdullaev, IS Martynkevich

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Electroencephalogram Based Emotion Recognition Using Hybrid Intelligent Method and Discrete Wavelet Transform by Duy Nguyen, Minh Tuan Nguyen, Kou Yamada

“…These features are identified as the optimal subsets of the most relevant, among 42 original input features extracted from two subsets of 8 and 6 productive channels using a dual genetic algorithm combined with a wise-subject 5-fold cross validation procedure in which the first and second genetic algorithms address the efficient channels and optimal feature subsets. …”
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An extension of the Spiegelhalter-Knill-Jones method for continuous covariates in clinical decision making by Bart K. M. Jacobs, Tafadzwa Maseko, Lutgarde Lynen, Aquiles Rodrigo Henriquez-Trujillo, Jozefien Buyze

“…Abstract Background There is still demand for algorithms that can be used at the point of care, especially when dealing with events that do not present with a single obvious clinical indicator. …”
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Flexible Symbiosis for Simulation Optimization in Production Scheduling: A Design Strategy for Adaptive Decision Support in Industry 5.0 by Mohaiad Elbasheer, Francesco Longo, Giovanni Mirabelli, Vittorio Solina

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