A predictive model for damp risk in english housing with explainable AI by Gulala Aziz, Adam Hardy

“…Homes were labelled as damp (1,630) or non-damp (443), with data supplemented by national Energy Performance Certificate (EPC) records, incorporating building characteristics and energy efficiency indicators. To evaluate model performance, both a balanced dataset (869 homes, 426 damp, 443 non-damp) and a larger imbalanced dataset (2,073 homes) were used. …”
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Dynamic Modeling of Aeroengine Rotor Speed Based on Data Fusion Method by Jun Hong, Hongxin Wang, Ziqiao Chen, Jiawei Lu, Gang Xiao

“…In this paper, a data-driven system identification method is presented based on the data fusion of a dynamic model and flight test data. …”
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Improvement of RT-DETR model for ground glass pulmonary nodule detection. by Siyuan Tang, Qiangqiang Bao, Qingyu Ji, Tong Wang, Naiyu Wang, Min Yang, Yu Gu, Jinliang Zhao, Yuhan Qu, Siriguleng Wang

“…To obtain a more lightweight model, modules are designed for smaller number of parameters and higher computational efficiency. …”
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Weed detection in cornfields based on improved lightweight neural network model by Haicheng Wan, Shanping Wang

“…Based on the original YOLOv4, an improved lightweight weed detection model, YOLOv4-weeds, is proposed. By changing the main YOLOv4 feature extraction network into MobileNetV3-Small, combined with the depthwise separable convolution and inverse residual structure, and introducing a lightweight attention mechanism, this model reduces the image processing memory size and improves detection efficiency. …”
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Modelling of non-scheduled air transportation time series based on ARIMA by N. B. Aghayev, D.  Sh. Nazarli

“…The data are processed by identifying and addressing any missing values, outliers, or trends that could affect the model's performance. Next, the ARIMA model is applied to the pre-processed data, utilising techniques such as model identification, parameter estimation, and model diagnostics. …”
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Development and validation of a prognostic nomogram model for severe osteomyelitis patients by Yunlong Liu, Yan Zheng, Sheng Ding

“…DCA suggests strong clinical utility and robust predictive efficiency. Further analysis through CIC illustrates the clinical effectiveness of this predictive model. …”
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CAV-generated mobility data modeling mechanism for adaptive signal control by Wei Lin, Heng Wei, Lan Yang, Xiangmo Zhao

“…The effectiveness of adaptive traffic signal control highly relies on accurate and accountable identification of dynamic arrival turning movement demand on approaches and other traffic flow parameters measuring traffic states. …”
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GIS-based multi-criteria predictive modelling for geothermal energy exploration by Andongma Wanduku Tende, Mamidak Miner Iiiya, Serah Habu, Jiriko Nzeghi Gajere, Shekwonyadu Iyakwari, Mohammed Dahiru Aminu

“…Accuracy assessment using the ROC/AUC analysis suggests an efficiency of 81.5 % for the weight sum model. GIS-based multi-criteria analysis improves the identification and evaluation of geothermal resources, leading to better decision-making.…”
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Spatial modelling of vector-borne diseases: Where? When? How many? by Mr Cedric Marsboom

“…Avia-GIS R&D team has an extensive expertise in the spatial modeling of vector-borne diseases (VBDs) to address critical concerns regarding the epidemiology and control of VBDs. …”
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Stacked LSTM Model for Contextual Correlation Detection Among Multiple Emotions by Aqsa Younas, Shazia Riaz, Saqib Ali, Rafiullah Khan, Mohib Ullah, Daehan Kwak

“…These findings underscore the effectiveness and efficiency of our approach in modeling complex emotional dynamics across social networks.…”
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Key Concepts and Models of Strategic Innovation Management in Ukraine: Modern Approaches by Skrypnyk Svitlana V.

“…An important aspect of the research is the analysis of the specifics of the Ukrainian context, particularly the impact of the war on innovation processes and the need to develop special crisis management models. The research results demonstrate that traditional linear models of innovation management are losing their efficiency and are being replaced by more flexible approaches such as Agile, Lean Startup, and other iterative methods. …”
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Constitutive model of metal rubber material considering plastic accumulation behavior by FENG Zhipeng, YANG Fang, FU Hailong, AI Shigang, WANG Yue, YUAN Liangyang

“…;In terms of theoretical modeling, this research innovatively integrates micro-unit spring theory with the Ludwik plasticity model to establish a constitutive model capable of precisely characterizing the nonlinear mechanical behavior of metal rubber. …”
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Seven-parameter PEMFC model optimization using an battlefield optimization algorithm by Manish Kumar Singla, S.A. Muhammed Ali, Jyoti Gupta, Pradeep Jangir, Arpita, Ramesh Kumar, Reena Jangid, Mohammad Khishe

“…BfOA's efficiency and robustness make it well-.suited for real-time fuel cell modeling. …”
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Forensic Molecular-Genetic Analysis of Objects of Biological Origin – a New Direction of Forensic Activity of the Russian Ministry of Justice by S. A. Smirnova, G. G. Omel’yanyuk, I. V. Storozhenko, A. A. Rybakova, V. V. Gulevskaya

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Global Sensitivity Analysis of CASC2D Hydrological Model Parameters by LI Xiao-ying, ZHANG Jin-hui, ZHAO Hong-jie

“…It lacks a global sensitivity analysis of model parameters and the identification of relationships between parameters and simulation indices based on such analysis. …”
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Associations of serum fatty acids, serum urea nitrogen, and ruminal ammonia nitrogen with residual feed intake in lactating dairy cows by W.M. Coelho, Jr., H.F. Monteiro, C.C. Figueiredo, B. Mion, J.E.P. Santos, R.S. Bisinotto, F. Peñagaricano, P. Vahmani, E.S. Ribeiro, F.S. Lima

“…In this context, the identification of biomarkers that can be used to identify and select more feed-efficient cows is of great interest. …”
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Cross-Modal Data Fusion via Vision-Language Model for Crop Disease Recognition by Wenjie Liu, Guoqing Wu, Han Wang, Fuji Ren

“…Timely and accurate disease identification is crucial for improving crop yield and quality. …”
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Ensuring Semantic Consistency in SysML v2 Models Through Metamodel-Driven Validation by Eduardo Cibrian, Jose Olivert-Iserte, Carlos Diez-Fenoy, Roy Mendieta, Juan Llorens, Jose Maria Alvarez-Rodriguez

“…Model-Based Systems Engineering (MBSE) relies on formal models for system lifecycle management, supporting model coherence and efficient reuse of components. …”
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Gray Brick Wall Surface Damage Detection of Traditional Chinese Buildings in Macau: Damage Quantification and Thermodynamic Analysis Method via YOLOv8 Technology by Liang Zheng, Jianyi Zheng, Yile Chen, Yuchan Zheng, Wei Lao, Shuaipeng Chen

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Identificação de benchmarks e anti-benchmarks para companhias aéreas usando modelos DEA e fronteira invertida Use of DEA and inverted frontier for airlines benchmarking and anti-be... by Juliana Quintanilha da Silveira, Lidia Angulo Meza, João Carlos Correia Baptista Soares de Mello

“…The analysis of the companies' efficiency in 2007 is done by comparing the results obtained with a classic DEA model to those obtained with the Inverted Frontier method. …”
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