Generative AI for Personalized Healthcare: Data-Driven Diagnosis Models

Authors: Saini, Rakesh Kumar, Konda, Ravikanth, Agunuru, Arun Kumar Reddy, Akula, Sai Krishna, Raju, Vishvanatha, Katta, Siva Koteswara Rao

Source: 2025 3rd International Conference on Intelligent Cyber Physical Systems and Internet of Things (ICoICI) Intelligent Cyber Physical Systems and Internet of Things (ICoICI), 2025 3rd International Conference on. :1928-1932 Sep, 2025

Relation: 2025 3rd International Conference on Intelligent Cyber Physical Systems and Internet of Things (ICoICI)

Comparative Analysis of Data-Driven Models for Solar Thermal Collector Performance

Authors: Khanghah, Mohsen Salimi, Moghaddam, Fariba, Moradi, Kamran

Source: 2025 International Conference on Control, Automation and Diagnosis (ICCAD) Control, Automation and Diagnosis (ICCAD), 2025 International Conference on. :1-6 Jul, 2025

Relation: 2025 International Conference on Control, Automation and Diagnosis (ICCAD)

Testing and Validation of Hardware‐in‐Loop Digital Twin Platform

Source: A Hardware-in-Loop Digital Twin Approach for Intelligent Optimization of Municipal Solid Waste Incineration. Nov 14, 2025

Numerical Simulation and Modeling Analysis on Whole Industrial Process by Coupling Multiple Software

Source: A Hardware-in-Loop Digital Twin Approach for Intelligent Optimization of Municipal Solid Waste Incineration. Nov 14, 2025

Conventional Pollutant Deep Modeling Using Virtual Data and Real Data Hybrid‐Driven

Source: A Hardware-in-Loop Digital Twin Approach for Intelligent Optimization of Municipal Solid Waste Incineration. Nov 14, 2025

Summary and Outlook of Hardware‐in‐Loop Digital Twin Platform

Source: A Hardware-in-Loop Digital Twin Approach for Intelligent Optimization of Municipal Solid Waste Incineration. Nov 14, 2025

Privacy-Preserving Data-Driven Learning Models for Emerging Communication Networks: A Comprehensive Survey

Authors: Fouda, M.M., Fadlullah, Z.M., Ibrahem, M.I., Kato, N.

Source: IEEE Communications Surveys & Tutorials IEEE Commun. Surv. Tutorials Communications Surveys & Tutorials, IEEE. 27(4):2505-2542 Aug, 2025

Comparative Study of Ship Motion Prediction Models: Data-Driven Physics-Based vs Pure Machine Learning

Authors: Mathioudakis, Michail, Iatropoulos, Petros, Stouraitis, Theodoros, Papandreou, Christos, Nikitakis, Antonis, Paschalakis, Stavros, Kyriakopoulos, Konstantinos

Source: 2025 Symposium on Maritime Informatics and Robotics (MARIS) Maritime Informatics and Robotics (MARIS), 2025 Symposium on. :1-8 Jun, 2025

Relation: 2025 Symposium on Maritime Informatics and Robotics (MARIS)

Accelerating Reinforcement Learning for HVAC Systems Using an LSTM-based Surrogate Simulator

Authors: Hekimoglu, Mehmet Burak, Baghaee, Sajjad, Filiz, Ulas, Ulusoy, Ilkay, Schmidt, Klaus Werner

Source: 2025 33rd Signal Processing and Communications Applications Conference (SIU) Signal Processing and Communications Applications Conference (SIU), 2025 33rd. :1-4 Jun, 2025

Relation: 2025 33rd Signal Processing and Communications Applications Conference (SIU)

Learning Teleoperated Driving Behavior from Limited Trajectory Data

Authors: Ji, Xunbi A., Avedisov, Sergei S., Voros, Illes, Khan, Mohammad Irfan, Altintas, Onur, Orosz, Gabor

Source: 2025 IEEE Intelligent Vehicles Symposium (IV) Intelligent Vehicles Symposium (IV), 2025 IEEE. :2130-2135 Jun, 2025

Relation: 2025 IEEE Intelligent Vehicles Symposium (IV)

Enhancing Intra-Vehicle Network Security using Intelligent Data-Driven Models

Authors: VeeraSekharReddy, B., Thatha, Venkata Nagaraju, Reddy, R. Bharath Kumar, Kumar, R. Sai, Reddy, K. Karthik, Kumar, H. Pavan

Source: 2025 Third International Conference on Augmented Intelligence and Sustainable Systems (ICAISS) Augmented Intelligence and Sustainable Systems (ICAISS), 2025 Third International Conference on. :508-511 May, 2025

Relation: 2025 Third International Conference on Augmented Intelligence and Sustainable Systems (ICAISS)

Predicción probabilística de estados glucémicos para pacientes con diabetes tipo 1 mediante el análisis de datos composicionales

Authors: Cabrera Tejera, Alvis

Contributors: University/Department: Universitat de Girona. Departament d'Enginyeria Elèctrica, Electrònica i Automàtica

Thesis Advisors: Vehí, Josep, Beneyto Tantiña, Aleix

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: Diabetis tipus 1, Diabetes tipo 1, Type 1 diabetes, Pacients virtuals, Pacientes virtuales, Virtual patients, Simuladors, Simuladores, Simulators, Glucosa a la sang, Glucosa en la sangre, Blood glucose, Dades composicionals, Datos composicionales, Compositional data, Models generatius profunds, Modelos generativos profundos, Deep generative models, Models basats en dades, Modelos basados en datos, Data-driven models, Diabetis mellitus

Time: 616.4, 621.3

File Description: application/pdf

Access URL: http://hdl.handle.net/10803/689607

Data-driven models for type 1 diabetes using generative deep learning

Authors: Mujahid, Omer

Contributors: University/Department: Universitat de Girona. Departament d'Enginyeria Elèctrica, Electrònica i Automàtica

Thesis Advisors: Vehí, Josep, Contreras, Ivan, Institut d'Informàtica i Aplicacions

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: Diabetis tipus 1, Type 1 diabetes, Diabetes tipo 1, Pacients virtuals, Virtual patients, Pacientes virtuales, Simuladors de Diabetis tipus 1, Type 1 diabetes simulators, Simuladores de diabetes tipo 1, síntesi causal de dades de glucosa a la sang, Causal blood glucose data synthesis, Síntesis causal de glucosa en la sangre, Síntesi condicional de dades de glucosa a la sang, Conditional blood glucose data synthesis, Síntesis condicional de dades de glucosa en la sangre, Models generatius profunds, Deep generative models, Modelos generativos profundos, Models basats en dades, Data-driven models, Modelos basados en datos

Time: 616.4, 621.3

File Description: application/pdf

Access URL: http://hdl.handle.net/10803/689606

Machine Learning-Assisted Expert Control in Wastewater Aeration Treatment Process Application

Authors: Xiong, Zhaoyang^aff1, Cheng, Leiming^aff2, Yunus, Ahmed Ibrahim^aff1, Jian, Dewu^aff2, Zhang, Xinping^aff2, Igou, Thomas^aff1, Tong, Sha^aff2, Chen, Yongsheng^aff1

Source: ACS ES&T Engineering. 5(11):3140-3152

Availability: https://pubs.acs.org/doi/10.1021/acsestengg.5c00493

1 Data-Driven Method for Reduced Order Modeling of Blisks with Large and Small Mistuning

Source: Data Science in Engineering. Sep 01, 2025

Demonstrating the effectiveness of combining heuristic and data-driven methods to achieve scalable and adaptive motion styles

Authors: Azizi, Amir, Charalambous, Panayiotis, Chrysanthou, Yiorgos

Source: 2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) VRW Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), 2025 IEEE Conference on. :711-716 Mar, 2025

Relation: 2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)

Estimation of State of Health for Lithium-ion Batteries Using Least Square Methods

Authors: Sri, G.V. Keerthi, Veeramsetty, Venkataramana, Vinod Kumar, D. M.

Source: 2025 7th International Conference on Signal Processing, Computing and Control (ISPCC) Signal Processing, Computing and Control (ISPCC), 2025 7th International Conference on. :555-562 Mar, 2025

Relation: 2025 7th International Conference on Signal Processing, Computing and Control (ISPCC)

Boosting Software Quality: A Machine Learning Technique for Predicting Defects

Authors: Akilan, Daniel, E., P, Alwin Infant, G R, Jainish

Source: 2025 6th International Conference on Mobile Computing and Sustainable Informatics (ICMCSI) Mobile Computing and Sustainable Informatics (ICMCSI), 2025 6th International Conference on. :1062-1070 Jan, 2025

Relation: 2025 6th International Conference on Mobile Computing and Sustainable Informatics (ICMCSI)

Two-in-One Solution: Simultaneously Enhancing Security and Privacy for Data-Driven Models in Mobile Edge Computing

Authors: Liu, P., Yuan, X., Wang, W., Xu, X., Li, T., Wang, J., Wang, B., Pedrycz, W.

Source: IEEE Transactions on Consumer Electronics IEEE Trans. Consumer Electron. Consumer Electronics, IEEE Transactions on. 71(2):6539-6547 May, 2025

Machine learning-based lifelong estimation of lithium plating potential: A path to health-aware fastest battery charging

Authors: Zhang, Yizhou, 1991, Wik, Torsten, 1968, Bergström, John, Zou, Changfu, 1987

Source: Datadriven förlängning av livslängden och optimering av prestanda för fordonsbatterisystem Energy Storage Materials. 74

Subject Terms: Lithium plating potential estimation, Lithium-ion battery, Fast charging, Data-driven models, Machine learning

File Description: electronic

Access URL: https://research.chalmers.se/publication/544434
https://research.chalmers.se/publication/543531
https://research.chalmers.se/publication/544244
https://research.chalmers.se/publication/544434/file/544434_Fulltext.pdf