Predicting postoperative malnutrition in patients with oral cancer: development of an XGBoost model with SHAP analysis and web-based application by Lixia Kuang, Lixia Kuang, Jingya Yu, Yunyu Zhou, Yu Zhang, Yu Zhang, Guangman Wang, Guangman Wang, Fangmin Zhang, Grace Paka Lubamba, Grace Paka Lubamba, Xiaoqin Bi, Xiaoqin Bi

“…Model performance was evaluated on the basis of discrimination, calibration, and clinical applicability, with SHAP analysis used for interpretability. …”
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A Robust Framework for 2D Human Face Reconstruction from Half-Frontal Views in Low-Quality Surveillance Footage by Maria Siddiqua, Muhammad Furqan Zia

“…Quantitative evaluation uses the Structural Similarity Index (SSIM) and Jaccard Index (JI) to measure image quality and geometric accuracy. …”
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Jump around: Selecting Markov Chain Monte Carlo parameters and diagnostics for improved food web model quality and ecosystem representation by Gemma Gerber, Ursula M. Scharler

“…Therefore, we used several established MCMC convergence diagnostics to (1) quantify how algorithm parameters affect ensemble flow values and if these differences propagate to ecological indicators and (2) evaluate algorithm quality and compare to current evaluation and ecosystem modelling methods. …”
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An Improved Multi-Imputation Technique Based on Chained Equations and Decision Trees: Application to Wind Energy Conversion Systems by JAFFEL, I., GUERFEL, M., MESSAOUD, H.

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Designing High‐Performance, Manufacturing‐Friendly Rotor Blades for Micro Wind Turbines via Cambered Plate Airfoil Optimization by Moritz Burmester, Abdullah Khisraw, Peter Dalhoff

“…Aerodynamic performance was analyzed using XFOIL, with evaluations conducted at Reynolds numbers of 30,000, 40,000, and 50,000 to ensure robust performance across realistic operating scenarios. …”
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Obtaining the Highest Quality from a Low-Cost Mobile Scanner: A Comparison of Several Pipelines with a New Scanning Device by Marek Hrdina, Juan Alberto Molina-Valero, Karel Kuželka, Shinichi Tatsumi, Keiji Yamaguchi, Zlatica Melichová, Martin Mokroš, Peter Surový

“…The accurate measurement of the tree diameter is vital for forest inventories, urban tree quality assessments, the management of roadside and railway vegetation, and various other applications. …”
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Broadened-Beam Uniform Rectangular Array Coefficient Design in LEO SatComs Under Quality of Service and Constant Modulus Constraints by Weiting Lin, Yuchieh Wu, Borching Su

“…The proposed method holds potential for LEO SAT broadcasting applications, such as digital video broadcasting (DVB).…”
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Network-based predictive models for artificial intelligence: an interpretable application of machine learning techniques in the assessment of depression in stroke patients by Wenwei Zuo, Xuelian Yang

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Timely identification of deteriorating patients from acute respiratory infections at the primary care level in the COVID-19 era: quality improvement collaborative by Javier Roberti, Ezequiel García Elorrio, Inés Suarez-Anzorena, Ana Paula Rodriguez, Luz Gibbons, Juan Pedro Alonso, Viviana Rodriguez, Valentina Lombardo, Facundo Jorro Barón, Marina Guglielmino, Emilse Vitar, Andrea Falaschi, Lía Bosio, Erica Negri, María Belén Peralta-Roca, María Victoria Bermejillo, Josefina Rizzo, Priscilla Maire, Luz Chávez, Agostina Pérez, Sonia Quintana, Marcela Oliva, Celeste Dulong, Pedro Carlos Silva, Cintia Evangelina Mérida, Andrea Silvina Farfarana, María Elizabeth Pérez, Oscar Paulino Luján, Marcela Cristina Carrión, Gabriela Scarano, Agustina Garbuio, Emilio Gentil, Nicolás Juárez, Gabriela Femenía, Evelyn Pechieu, Andrea Villalba, Carolina Guarnieri, Rubén Darío Hernández, Daniela Romano, Alberto Recabarren, Yamila Castro, Luis Biliato, Juan Gatica, Laura Villegas

“…More COVID-19-confirmed diagnoses were observed in the IP group (1.9% vs 15%, p<0.001).The bundle was implemented in 0% and 28.4% of patients in the BP and IP groups, respectively. On evaluating the individual components of the bundle, we discovered enhancements in the utilisation of triage, application of NEWS2 and utilisation of oximeters when appropriate. …”
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Are minimum indoor air quality requirements combined with passive retrofit solutions enough to guarantee thermal comfort in southern Spain High Schools? by Calama-González Carmen María, Escandón Rocío, Suárez Rafael

“…Then, a multi-objective optimisation approach based on NSGA-II genetic algorithms is used for the evaluation of a range of passive energy retrofit strategies, with the aim of identifying the most effective. …”
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An Eigenspace approach for detecting multiple space-time disease clusters: Application to measles hotspots detection in Khyber-Pakhtunkhwa, Pakistan. by Sami Ullah, Hanita Daud, Sarat C Dass, Hadi Fanaee-T, Alamgir Khalil

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Succinct Link Transformation-Based Overlapping Community Detection Framework for Social Network Analysis by Seungwoo Ryu, Sungsu Lim, Seungsoo Yoo, Sun Yong Kim

“…The proposed framework was evaluated against mainstream overlapping community detection algorithms. …”
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Integrating agent-based models and clustering methods for improving image segmentation by Erik Cuevas, Sonia Jazmín García-De-Lira, Cesar Rodolfo Ascencio-Piña, Marco Pérez-Cisneros, Sabrina Vega

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Tablets Development Based on Clover Meadow Grass Phytosubstance Using Design of the Experiment Method and QdD Tools by A. N. Golubev, Th. I. Nguen, V. V. Sorokin, I. E. Kauhova

“…Based on a mathematical model, the optimal composition of tablet mixture and tablets obtained from it was determined. The tablets quality indicators corresponding to the selected composition were calculated, and the adequacy of the obtained model was evaluated by comparing calculated and real indicators. …”
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Assessing the temporal transferability of machine learning models for predicting processing pea yield and quality using Sentinel-2 and ERA5-land data by Michele Croci, Manuele Ragazzi, Alessandro Grassi, Giorgio Impollonia, Stefano Amaducci

“…This study aims to rigorously quantify this temporal transferability gap for both pea yield and TR prediction. Four ML algorithms (RF, XGBoost, GPR, SVMr) were evaluated using Sentinel-2 and ERA5-Land data from 2018 to 2024 in northern Italy. …”
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Deep Learning Technology for Classification of Thyroid Nodules Using Multi-View Ultrasound Images: Potential Benefits and Challenges in Clinical Application by Jinyoung Kim, Min-Hee Kim, Dong-Jun Lim, Hankyeol Lee, Jae Jun Lee, Hyuk-Sang Kwon, Mee Kyoung Kim, Ki-Ho Song, Tae-Jung Kim, So Lyung Jung, Yong Oh Lee, Ki-Hyun Baek

“…Background This study aimed to evaluate the applicability of deep learning technology to thyroid ultrasound images for classification of thyroid nodules. …”
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A Novel Voronoi-Driven Optimization Approach for Point-Based Sensor Network Deployment by Saeid Doodman, Mir-Abolfazl Mostafavi, Raja Sengupta, Ali Afghantoloee

“…Several experiments were conducted to evaluate the effectiveness and efficiency of the proposed approach, comparing the results with the Genetic Algorithm (GA) as a reference, by calculating the RMSE using Kriging, Thin Plate Spline, and Inverse Distance Weighting methods. …”
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Developing an efficient explainable artificial intelligence approach for accurate reverse osmosis desalination plant performance prediction: application of SHAP analysis by Meysam Alizamir, Mo Wang, Rana Muhammad Adnan Ikram, Sungwon Kim, Kaywan Othman Ahmed, Salim Heddam

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AI augmented edge and fog computing for Internet of Health Things (IoHT) by Deepika Rajagopal, Pradeep Kumar Thimma Subramanian

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Diagnostic accuracy of dual-phase 18F-FDG PET/CT using time-of-flight reconstruction algorithm in conjunction with TrueX or Q.Clear in staging suspected pancreatic cancer by Susanne Stanzel, Tina Nazerani-Zemann, Friedrich Weitzer, Roland Weinke, Elisabeth Plhak, Reingard Maria Aigner

“…Abstract Demarcation of small pancreatic and metastatic abdominal lesions is challenging due to the noisy background. We evaluated the impact of time-of-flight (TOF) in conjunction with TrueX (= point spread function (PSF)-based algorithm) or Q.Clear (= Bayesian penalized likelihood reconstruction algorithm) in dual-phase (DP) 18F-FDG-PET/CT on image quality (IQ) and lesion detection rate in staging suspected pancreatic cancer. …”
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