Development and validation of a prognostic nomogram model for severe osteomyelitis patients by Yunlong Liu, Yan Zheng, Sheng Ding

“…These factors were incorporated into the nomogram model, demonstrating good identification performance, with AUCs of 0.872 and 0.826 for the training and validation sets, respectively. …”
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DRPM: An advanced predictive model for early diabetes detection and risk stratification by Fulei Nie, Xiaoming Song, Wei Chen

“…From an initial set of 36 variables, and through feature selection, five key features were identified through feature selection techniques to construct the model. …”
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A Deep Learning Model for Spectral Reconstruction of Arrayed Micro-Resonators by Xinyi Zhou, Cheng Zhang, Zhenyu Zheng, Hongbin Li, Chao Peng

“…Compared to conventional methods, the proposed model demonstrates superior performance in both wide-range spectral reconstruction and fine-resolution tasks, thus highlighting its ability to effectively capture intricate spectral features and long-range dependencies, thereby advancing the reconstruction capabilities of miniaturized spectrometers.…”
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A fiber channel modeling method based on complex neural networks by Haifeng Yang, Yongjun Wang, Chao Li, Lu Han, Qi Zhang, Xiangjun Xin

“…Abstract Channel modeling plays a pivotal role in the field of communications, particularly in the optical communication networks of backbone communication systems. …”
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Seismic phase recognition model with low SNR based on U-net by Jianxian Cai, Zhongjie Sun, Mengying Zhang, Fenfen Yan, Li Wang, Ling Li

“…The seismic data of Stanford University are used to train and test the designed UBAN phase recognition model. The experimental results show that the UBAN phase recognition model shows good performance in the phase recognition of low signal-to-noise ratio seismic signals, which provides a new idea for the research of low signal-to-noise ratio seismic signal phase recognition method.…”
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Creating a Digital Insurance Model: A Grounded Theory Approach by Mohammad Adabi, Nastaran Haji Heydari, Hamed Vares

“…Objective Digital transformation can impact companies, business models, communications, and products, enhancing company performance and driving growth. …”
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ENHANCED COASTLINE EXTRACTION AND EROSION ANALYSIS USING UNET AND DEXINED MODELS by Yan Wang, Adisorn Sirikham, Jessada Konpang, Chunguang Li

“…Complex coastal environments with dynamic features make manual digitisation and threshold-based segmentation inefficient and inaccurate. …”
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Current Developments in Dementia Risk Prediction Modelling: An Updated Systematic Review. by Eugene Y H Tang, Stephanie L Harrison, Linda Errington, Mark F Gordon, Pieter Jelle Visser, Gerald Novak, Carole Dufouil, Carol Brayne, Louise Robinson, Lenore J Launer, Blossom C M Stephan

“…Further, it is unlikely that one model will fit all. Consideration of the optimal features of new models should focus on methodology (setting/sample, model development and testing in a replication cohort) and the acceptability and cost of attaining the risk variables included in the prediction score. …”
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Data-driven intelligent productivity prediction model for horizontal fracture stimulation by Qian Li, Yiyong Sui, Mengying Luo, Bin Guan, Lu Liu, Yuan Zhao

“…To address the limitations and shortcomings of existing post-fracturing performance prediction methods for horizontal fractures, a horizontal fracture well productivity prediction model was established by combining physical mechanisms with data-driven approaches. …”
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A location semantic privacy protection model based on spatial influence by Linghong Kuang, Wenlong Shi, Xueqi Chen, Jing Zhang, Huaxiong Liao

“…Experimental results demonstrate that the proposed model improves traffic trajectory data availability and semantic protection performance by 14% and 46.5%, respectively, compared to traditional models.…”
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Prediction of success of slings in female stress incontinence, statistical and AI modeling by Bassem S. Wadie, Ahmed Abdelrasheed, Mohammed Taha, Ahmed Abdelrahman, Bassam Mohamed, Alaa Saber, Ahmed Badawi

“…The output comprised 18 cases designated as ‘failure’ and 133 as ‘success’ output. The best model performance-wise was the (SVM) with 92% accuracy and 96% F1-score, which meets the industrial standards for predictive models. …”
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Modeling the Hydrological Process of the Genale Dawa-3 Dam Watershed, Ethiopia by Ashenafi Dechasa, Wakjira T. Dibaba, Alemu O. Aga, Mezgebu Geme Worku, Miliyon Dida Feye, Firaol Bedada Kopesa, Bekele Terefe Gebisa, Brook Legese, Amare Tura Abate

“…This research used the soil and water assessment tool (SWAT) to analyze the hydrological dynamics of the Genale Dawa-3 dam watershed, to advance sustainable water management strategies. Model calibration and validation were performed using sequential uncertainty fitting (SUFI-2) within SWAT-CUP, and performance was assessed through various statistical measures including R2, NSE, PBIAS, and RSR. …”
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Botnet detection in internet of things using stacked ensemble learning model by Mudasir Ali, Muhammad Faheem Mushtaq, Urooj Akram, Daniel Gavilanes Aray, Manuel Masias Vergara, Hanen Karamti, Imran Ashraf

“…The KSDRM model also performs well during testing by achieving an accuracy of 97.94%. …”
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ENHANCED COASTLINE EXTRACTION AND EROSION ANALYSIS USING UNET AND DEXINED MODELS by Yan Wang, Adisorn Sirikham, Jessada Konpang, Chunguang Li

“…Complex coastal environments with dynamic features make manual digitisation and threshold-based segmentation inefficient and inaccurate. …”
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Determinants of Building Information Modeling Adoption: The case of the Malaysian Construction Industry by Hafiz Muhammad Faisal Shehzad, Roliana Ibrahim, Khairul Anwar Mohamed Khaidzir, Fahad Maqbool, Muhammad Jauharul Fuady, Muhammad Ilyas, Ahmad Fadhil bin Yusof

“…The model is tested and validated with the Smart PLS tool. …”
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Design and Performance Verification of Deep Learning-Based River Flood Prediction System Design and Digital Twin-Based Its Application by Heesang Eom, Younghun Kim, Jongho Paik

“…The performance evaluation results show that the proposed CNN-RNN hybrid model outperforms individual CNN and RNN baselines. …”
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Predicting student academic performance using Bi-LSTM: a deep learning framework with SHAP-based interpretability and statistical validation by Emi Kalita, Abdullah Mana Alfarwan, Houssam El Aouifi, Houssam El Aouifi, Ashima Kukkar, Sadiq Hussain, Tazid Ali, Silvia Gaftandzhieva

“…The performance of models is also compared using various statistical tests.DiscussionThe results demonstrate that BI-LSTM performance is significantly different from other models. …”
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Research on Model Reconstruction Methods for Partial Point Cloud Information Loss by Zhengping CHANG, Guoshuai YUAN, Jiuhua LI, Yang ZHAO, Zhongqi WANG

“…At the present stage, assembly performance analysis requires model refactoring to predict assembly errors. …”
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Structure and dynamics analysis of brain functional hypernetworks based on the null models by Chen Cheng, Yao Li, Chunyan Wang, Yanli Yang, Hao Guo

“…Therefore, this article introduces the hypernetwork null model to analyze the dependencies between the features of interest. …”
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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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