Grey Wolf Optimizer Termodifikasi Menggunakan Chaotic Uniform Initialization Untuk Estimasi Effort Cocomo by Ardiansyah, Sri Handayaningsih, Deva Fathurrizki

“…The proposed method is then compared with the standard GWO algorithm and a current GWO variant. …”
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Integrative radiomics of intra- and peri-tumoral features for enhanced risk prediction in thymic tumors: a multimodal analysis of tumor microenvironment contributions by Liang zhu, Jiamin Li, Xuefeng Wang, Yan He, Siyuan Li, Shuyan He, Biao Deng

“…Subsequently, hierarchical clustering and the LASSO algorithm were applied to identify the most predictive features. …”
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Benefits of not smoking during pregnancy for Australian Aboriginal and Torres Strait Islander women and their babies: a retrospective cohort study using linked data by Jonathan M Morris, Carol McInerney, Ibinabo Ibiebele, Jane B Ford, Deborah Randall, David Meharg, Jo Mitchell, Andrew Milat, Siranda Torvaldsen

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Robust vs. Non-robust radiomic features: the quest for optimal machine learning models using phantom and clinical studies by Seyyed Ali Hosseini, Ghasem Hajianfar, Brandon Hall, Stijn Servaes, Pedro Rosa-Neto, Pardis Ghafarian, Habib Zaidi, Mohammad Reza Ay

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Age-Related Choroidal Involution Is Associated with the Senescence of Endothelial Progenitor Cells in the Choroid by Ali Riza Nazari, Loraine Gresseau, Tiffany Habelrih, Aliabbas Zia, Isabelle Lahaie, Yosra Er-Reguyeg, France Coté, Borhane Annabi, Alain Rivard, Sylvain Chemtob, Michel Desjarlais

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Estimation of elbow flexion torque using equilibrium optimizer on feature selection of NMES MMG signals and hyperparameter tuning of random forest regression by Raphael Uwamahoro, Raphael Uwamahoro, Kenneth Sundaraj, Farah Shahnaz Feroz

“…Convergence analysis further revealed that the GLEO algorithm exhibited a superior learning capability compared to EO.ConclusionThis study underscores the potential of the hybrid GLEO approach in selecting highly informative features and optimizing hyperparameters for machine learning models. …”
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A population Monte Carlo model for underwater acoustic telemetry positioning in reflective environments by James Adam Campbell, Samuel Joseph Shry, Petter Lundberg, Olle Calles, Franz Hölker

“…The resulting tracks are compared against those resulting from YAPS and TDOA positioning. …”
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Risk prediction of hyperuricemia based on particle swarm fusion machine learning solely dependent on routine blood tests by Min Fang, Chengjie Pan, Xiaoyi Yu, Wenjuan Li, Ben Wang, Huajian Zhou, Zhenying Xu, Genyuan Yang

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Drowsiness Detection of Construction Workers: Accident Prevention Leveraging Yolov8 Deep Learning and Computer Vision Techniques by Adetayo Olugbenga Onososen, Innocent Musonda, Damilola Onatayo, Abdullahi Babatunde Saka, Samuel Adeniyi Adekunle, Eniola Onatayo

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The Comparison of De Novo Grade 3 Follicular Lymphoma and Transformed Grade 3 Follicular Lymphoma: Own Data by LV Plastinina, AM Kovrigina, TN Obukhova, ES Nesterova, AU Magomedova, YaK Mangasarova, AE Misyurina, FE Babaeva, SM Kulikov, AI Vorob’ev, SK Kravchenko

“…We proposed an algorithm for differential diagnosis of the 2 types of grade 3 FL: de novo FL (n = 22) and transformed FL (n = 21). …”
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Mapping of Local Climate Zones and Heat Hazard Assessment from a Historical-Future Perspective by Jiayi Ren, Jun Yang, Wenbo Yu, Nan Cong, Xiangming Xiao, Jianhong Xia, Xueming Li

“…Local climate zone (LCZ) characterization reduces LULC uncertainty in climate research. This study designed a future multiscenario LCZ thermal environment assessment framework that integrates remote sensing images, a patch-level land use simulation model, and a contribution algorithm. …”
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The possibilities of predicting the individual risk of cervical cancer in women of reproductive age using mathematical modeling by L. A. Klyukina, E. A. Sosnova, A. A. Ishchenko, M. M. Davydov

“…The carcinogenesis of CC is caused by the persistence of highly oncogenic types of human papillomavirus (HPV), the level of carcinogenicity of which is the highest based on the criteria of the International Agency for Research on Cancer. However, cervical carcinogenesis does not occur in all cases of persistence of highly oncogenic types of HPV. …”
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Identification of key genes in membranous nephropathy and non-alcoholic fatty liver disease by bioinformatics and machine learning by Jiachen Fan, Na Li, Yanfang Lu, Huixia Cao

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Application of Three-Dimensional Hierarchical Density-Based Spatial Clustering of Applications with Noise in Ship Automatic Identification System Trajectory-Cluster Analysis by Shih-Ming Wang, Wen-Rong Yang, Qian-Yi Zhuang, Wei-Hong Lin, Mau-Yi Tian, Te-Jen Su, Jui-Chuan Cheng

“…Clustering algorithms are widely used in statistical data analysis as a form of unsupervised machine learning, playing a crucial role in big data mining research for Maritime Intelligent Transportation Systems. …”
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The Heavy‐Tailed Inverse Power Lindley Type‐I Model: Reliability Inference and Actuarial Applications by Amal S. Hassan, Diaa S. Metwally, Mohammed Elgarhy, Rokaya Elmorsy Mohamed

“…ABSTRACT The analysis and modeling of asymmetric data present an interesting and important area of research across various applied sciences, particularly in lifetime studies, medical research, and financial analysis. …”
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Machine learning integration in thermodynamics: Predicting CO2 mixture saturation properties for sustainable refrigeration applications by Carlos G. Albà, Ismail I.I. Alkhatib, Lourdes F. Vega, Fèlix Llovell

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Mortality in children and adolescents in Western Democratic Republic of Congo: retrospective analysis of verbal autopsy and demographic data from the Kimpese Health and Demographic... by Carina King, Tobias Alfvén, Helena Hildenwall, Mala Ali Mapatano, Joël Kiniati Fumwakwau, Mattias Schedwin, Mireille Amba Ngale, Delphin Mavinga Phanzu

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Application of a Texture Appearance Model for Segmentation of Lung Nodules on Computed Tomography of the Chest by F. Shariaty, V. A. Pavlov, S. V. Zavjalov, M. Orooji, T. M. Pervunina

“…The results of applying the described TAM method to normal and noisy CT images are presented and compared to those obtained using the Region Growing and Active Contour algorithms, as well as the combination of Active Contour and Watershed algorithms. …”
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LONG-TERM OUTCOMES OF PREVENTIVE MEASURES IN CHILDREN FOLLOWING RADICAL URANOSTAPHYLOPLASTY by P.I. Tkachenko, S.O. Bilokon, N.M. Lokhmatova, Yu.V. Popelo, O.B. Dolenko, N.M. Korotych, K.Yu. Rezvina

“…Prospects for further research. Further research is planned. …”
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Association between hemoglobin glycation index and the risk of cardiovascular disease in early-stage cardiovascular-kidney-metabolic syndrome: evidence from the China health and re... by Huiyi Liu, Shuai Mao, Shuai Mao, Yunzhang Zhao, Yunzhang Zhao, Lisha Dong, Lisha Dong, Yifan Wang, Yifan Wang, Chao Lv, Tong Yin, Tong Yin

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