- Cuihong Zhang, Jing Ning, Jianwen Cai, James E. Squires, Steven H. Belle, Ruosha Li:
Dynamic risk score modeling for multiple longitudinal risk factors and survival. Comput. Stat. Data Anal. 189: 107837 (2024) - M. S. Panwar, Vikas Barnwal, Chandra Prakash Yadav:
A latent variable approach for modeling recall-based time-to-event data with Weibull distribution. Comput. Stat. 39(4): 2343-2374 (2024) - Weiwei Jiang, Jorge Gonçalves, Vassilis Kostakos:
Mobile Near-infrared Sensing - A Systematic Review on Devices, Data, Modeling, and Applications. ACM Comput. Surv. 56(8): 201:1-201:36 (2024) - Ciro Mennella, Umberto Maniscalco, Giuseppe De Pietro, Massimo Esposito:
Modeling rehabilitation dataset to implement effective AI assistive systems. Discov. Artif. Intell. 4(1): 43 (2024) - Martin Paczona, Heinrich C. Mayr, Guenter Prochart:
Increase development productivity by domain-specific conceptual modeling. Data Knowl. Eng. 150: 102263 (2024) - Han Li, Giuseppe Pinto, Marco Savino Piscitelli, Alfonso Capozzoli, Tianzhen Hong:
Building thermal dynamics modeling with deep transfer learning using a large residential smart thermostat dataset. Eng. Appl. Artif. Intell. 130: 107701 (2024) - Jian Wang, Jie Liu, Yanglong Lu, Haoliang Li, Xin Zhang:
Machine learning-driven high-fidelity ensemble surrogate modeling of Francis turbine unit based on data-model interactive simulation. Eng. Appl. Artif. Intell. 133: 108385 (2024) - Chen-Zhou Xu, Zhong-Hua Han, Bo-Wen Zan, Ke-Shi Zhang, Gong Chen, Wen-Zheng Wang:
Expert's experience-informed hierarchical kriging method for aerodynamic data modeling. Eng. Appl. Artif. Intell. 133: 108490 (2024) - Anayo Chukwu Ikegwu, Henry Friday Nweke, Emmanuel O. C. Mkpojiogu, Chioma Virginia Anikwe, Sylvester Agbo Igwe, Uzoma Rita Alo:
Recently emerging trends in big data analytic methods for modeling and combating climate change effects. Energy Inform. 7(1): 6 (2024) - Urszula Bentkowska, Wojciech Galka, Marcin Mrukowicz, Aleksander Wojtowicz:
Ensemble Classifier Based on Interval Modeling for Microarray Datasets. Entropy 26(3): 240 (2024) - Henrique Haas, Latif Kalin, Enis Baltaci:
How wide is the problem? Leveraging alternative data sources to enhance channel width representation in watershed modeling. Environ. Model. Softw. 172: 105935 (2024) - Xinhai Huang, Junjie Ding, Jin Ben, Jianbin Zhou, Qishuang Liang, Jinchi Dai:
Advancing digital earth modeling: Hexagonal multi-structural elements in icosahedral DGGS for enhanced geospatial data processing. Environ. Model. Softw. 172: 105922 (2024) - Meghan Mussehl, James Angus Webb, Avril C. Horne, Declan O'Shea:
Balancing observational data and experiential knowledge in environmental flows modeling. Environ. Model. Softw. 173: 105943 (2024) - Francesco Carli, Pietro Foini, Nicolò Gozzi, Nicola Perra, Rossano Schifanella:
Modeling teams performance using deep representational learning on graphs. EPJ Data Sci. 13(1): 7 (2024) - Bilal Lefoula, Aziz Hebal, Djamel Bengora:
Performance of machine learning methods for modeling reservoir management based on irregular daily data sets: a case study of Zit Emba dam. Earth Sci. Informatics 17(1): 145-161 (2024) - Min Choi, Hye Jin Lee, Soh Hyung Park, Sung Whan Jeon, Sungzoon Cho:
Stock price momentum modeling using social media data. Expert Syst. Appl. 237(Part C): 121589 (2024) - Youngjoon Jeong, Sang-ik Lee, Jonghyuk Lee, Won Choi:
Data-efficient surrogate modeling using meta-learning and physics-informed deep learning approaches. Expert Syst. Appl. 250: 123758 (2024) - Denghao Ma, Xiayu Wang, Xueqiang Lv, Hongbin Pei, Liang Shen, Youyou Zhang:
Data-driven smoothing approaches for interest modeling in recommendation systems. Expert Syst. Appl. 249: 123524 (2024) - Liang Ma, Mengwei Wang, Kaixiang Peng:
A missing manufacturing process data imputation framework for nonlinear dynamic soft sensor modeling and its application. Expert Syst. Appl. 237(Part A): 121428 (2024) - Andrea De Salve, Alessandro Brighente, Mauro Conti:
EDIT: A data inspection tool for smart contracts temporal behavior modeling and prediction. Future Gener. Comput. Syst. 154: 413-425 (2024) - Xinkun Tao, Pengfei Sun, Zhuang Xiao, Chengcheng Fu, Xiaoyun Feng, Qingyuan Wang:
Modeling and Energy-Optimal Control for Freight Trains based on Data-Driven Approaches. Future Gener. Comput. Syst. 152: 346-360 (2024) - Cairong Yan, Xiaoke Li, Ran Tao, Zhaohui Zhang, Yongquan Wan:
MeFiNet: Modeling multi-semantic convolution-based feature interactions for CTR prediction. Intell. Data Anal. 28(1): 261-278 (2024) - Zhizhu Wu, Mingxia Huang, Zhibo Xing, Tao Yang:
Improving Short-Term Traffic Flow Prediction using Grey Relational Analysis for Data Filtering and Stacked LSTM Modeling. Int. J. Comput. Commun. Control 19(1) (2024) - Sudarsun Santhiappan, Jeshuren Chelladurai, Balaraman Ravindran:
TOMBoost: a topic modeling based boosting approach for learning with class imbalance. Int. J. Data Sci. Anal. 17(4): 389-409 (2024) - Siavash Farzadnia, Iman Raeesi Vanani, Payam Hanafizadeh:
An experimental study for identifying customer prominent viewpoints on different flight classes by topic modeling methods. Int. J. Inf. Manag. Data Insights 4(1): 100223 (2024) - Ali Tarhini, Mariam Alhinai, Adil S. Al-Busaidi, Srikrishna Madhumohan Govindaluri, Jamil Al Shaqsi:
What drives the adoption of mobile learning services among college students: An application of SEM-neural network modeling. Int. J. Inf. Manag. Data Insights 4(1): 100235 (2024) - Ronit Bali, Anukansha Sharma, Shuchi Mala:
Modeling the Geospatial Trend Changes in Jobs and Layoffs by Performing Sentiment Analysis on Twitter Data. Int. J. Perform. Eng. 20(2): 120 (2024) - Nikolaos Th. Giannakopoulos, Marina C. Terzi, Damianos P. Sakas, Nikos Kanellos, Kanellos Toudas, Stavros P. Migkos:
Agroeconomic Indexes and Big Data: Digital Marketing Analytics Implications for Enhanced Decision Making with Artificial Intelligence-Based Modeling. Inf. 15(2): 67 (2024) - David Hanny, Bernd Resch:
Clustering-Based Joint Topic-Sentiment Modeling of Social Media Data: A Neural Networks Approach. Inf. 15(4): 200 (2024) - Bata Hena, Ziang Wei, Luc Perron, Clemente Ibarra-Castanedo, Xavier Maldague:
Towards Enhancing Automated Defect Recognition (ADR) in Digital X-ray Radiography Applications: Synthesizing Training Data through X-ray Intensity Distribution Modeling for Deep Learning Algorithms. Inf. 15(1): 16 (2024)