Results 51 to 60 of about 250,324 (265)

Quantitative Analysis of Effects on SINS-Aided GNSS Tracking Loop Performance [PDF]

Hangkong bingqi
Compared with the conventional SINS/GNSS loose and tight integration， the SINS/GNSS ultra-tight integration navigation system employs SINS aided GNSS receiver tracking loop.
Lin Jingjie, Wang Xinlong
doaj   +1 more source

Comparing the Effect of Semi‐Immersive Virtual Reality, Computerized Cognitive Training, and Traditional Rehabilitation on Cognitive Function in Multiple Sclerosis: A Randomized Clinical Trial

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Cognitive impairment is a common non‐motor symptom in Multiple Sclerosis (MS), negatively affecting autonomy and Quality of Life (QoL). Innovative rehabilitation strategies, such as semi‐immersive virtual reality (VR) and computerized cognitive training (CCT), may offer advantages over traditional cognitive rehabilitation (TCR ...
Maria Grazia Maggio, Desiree Latella, Lilla Bonanno, Paulo Cezar Rocha dos Santos, Marcos Maldonado‐Díaz, Meir Plotnik, Rosaria De Luca, Angelo Quartarone, Rocco Salvatore Calabrò   +8 more
wiley   +1 more source

Active cooling device: A flexible, lab-scale experimental unit to develop spatio-temporal temperature control strategies

HardwareX
This work proposes an experimental unit that realizes a multi-input, multi-output manifold thermal management technology. The proposed setup is designed for experiments aimed at controlling spatiotemporal temperature distribution.
Victor Oliveira Ferreira, Wiebke Mainville, Vincent Raymond, Jean-Michel Lamarre, Antoine Hamel, Mikael Vaillant, Moncef Chioua, Bruno Blais   +7 more
doaj   +1 more source

Engagement Patterns With an Artificial Intelligence Health Coach for Systemic Sclerosis Self‐Management: A Mixed Methods Study

Arthritis Care &Research, EarlyView.
Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah, Melanie Morris, Cristina Daraban, Sophia Johnson, Susan L. Murphy   +4 more
wiley   +1 more source

The Effect of Precipitation on Hydropower Generation Capacity: A Perspective of Climate Change

Frontiers in Earth Science, 2020
Hydropower, which is the most extensively used renewable energy, is sensitive to the change of streamflow under the great impact of precipitation. According to the relationship between the hydropower station generation and local precipitation, the impact
Li Wei, Li Jiheng, Guo Junhong, Bao Zhe, Fu Lingbo, Hou Baodeng   +5 more
doaj   +1 more source

A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems

International Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam, Anthony Siming Chen, Guido Herrmann   +2 more
wiley   +1 more source

Simulation-optimization for Basin-wide Optimum Water Allocation Considering System’s Performance and Equity Measures [PDF]

آب و فاضلاب, 2013
This paper presents a simulation-optimization model integrating MODSIM river basin model and Particle Swarm Optimization algorithm for basin-scale optimal water allocation considering system's performance and equity indexes.
Shima Nabinejad, Seyyed Jamshid Mousavi
doaj  

Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane, Salama Makni, Mourad Kchaou, Ahmed El Hajjaji   +3 more
wiley   +1 more source

Assessing the Impact of Multi-Reservoir Rationing on Downstream Drought Occurrence: A Case Study of Dez and Gotvand Reservoirs [PDF]

Journal of Hydraulic Structures
Water resource management in multi-reservoir systems is critical for meeting diverse demands while ensuring sustainability. In this study, we delve into optimizing the operating rule curve for such systems by integrating the Particle Swarm Optimization ...
Sama Banitamim, Seyed Mohammad Ashrafi, Arash Adib   +2 more
doaj   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source