Urban environments, with an ever-increasing population and ever-increasing traffic intensity, today represent a challenge for research and implementation of systems that would improve all aspects of life in such envir...
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The paper provides a linearized model of the quad rotor aircraft. Linearization is carried out around each state to optimize the system for larger flight envelopes. Each coupling term is represented by fixing and chan...
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ISBN:
(纸本)9783031705069;9783031705076
The paper provides a linearized model of the quad rotor aircraft. Linearization is carried out around each state to optimize the system for larger flight envelopes. Each coupling term is represented by fixing and changing each time one state. Non-fragile optimal controller realization for the quad rotor aircraft is obtained by considering two different approaches for computation of controller fragility, stability radii comparison and weighted eigenvalue sensitivity calculation. A numerical method for reduction of controller fragility is presented. The simulation results show that the time delay compensation effect is well realized.
For years, Optical Mark Recognition (OMR) have utilized to extract data through paper-based forms. However, analyzing OMR sheets by hand is time-consuming and prone to human error. This study introduces a sophisticate...
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The proceedings contain 24 papers. The special focus in this conference is on applications of Medical Artificial Intelligence. The topics include: SP-NAS: Surgical Phase Recognition-Based Navigation Adjustment system ...
ISBN:
(纸本)9783031820069
The proceedings contain 24 papers. The special focus in this conference is on applications of Medical Artificial Intelligence. The topics include: SP-NAS: Surgical Phase Recognition-Based Navigation Adjustment system for Distal Gastrectomy;transforming Multimodal Models into Action Models for Radiotherapy;enhanced Interpretability in Histopathological Images via Combined Tissue and Cell-Level Graph Analysis;targeted Visual Prompting for Medical Visual Question Answering;deep Learning for Resolving 3D Microstructural Changes in the Fibrotic Liver;predicting Falls Through Muscle Weakness from a Single Whole Body Image: A Multimodal Contrastive Learning Framework;Optimizing ICU Readmission Prediction: A Comparative Evaluation of AI Tools;source Matters: Source Dataset Impact on Model Robustness in Medical Imaging;evaluating Perceived Workload, Usability and Usefulness of Artificial Intelligence systems in Low-Resource Settings: Semi-automated Classification and Detection of Community Acquired Pneumonia;incremental Augmentation Strategies for Personalised Continual Learning in Digital Pathology Contexts;assessing Generalization Capabilities of Malaria Diagnostic Models from Thin Blood Smears;automated Feedback system for Surgical Skill Improvement in Endoscopic Sinus Surgery;quantifying Knee Cartilage Shape and Lesion: From Image to Metrics;RadImageGAN – A Multi-modal Dataset-Scale Generative AI for Medical Imaging;Ensemble-KAN: Leveraging Kolmogorov Arnold Networks to Discriminate Individuals with Psychiatric Disorders from Controls;SCIsegV2: A Universal Tool for Segmentation of Intramedullary Lesions in Spinal Cord Injury;EHRmonize: A Framework for Medical Concept Abstraction from Electronic Health Records using Large Language Models;evaluating the Impact of Pulse Oximetry Bias in Machine Learning Under Counterfactual Thinking;normative modeling with Focal Loss and Adversarial Autoencoders for Alzheimer’s Disease Diagnosis and Biomarker Identification;one-Shot Medical
Dispersed Control systems (DCS) are a vital enhancement in commercial automation enabling central control plus tracking to boost effectiveness. Lots of Indian plants still make use of analog systems. Some additionally...
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This research aims to explore the application of deep learning in autonomous driving computer vision technology and its impact on improving system performance. By using advanced technologies such as convolutional neur...
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We propose a system to recognize users and detect reading styles based on eye movement patterns while reading text content on screen. This system utilizes eye-tracking technology and machine learning to distinguish us...
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In response to the traffic congestion around tourist areas during holidays, this paper conducts an in-depth analysis of vehicle traffic data and proposes several models and solutions. First, the K-means clustering alg...
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This research endeavor is centered on enhancing the predictability of stock prices through the application of Recurrent Neural Networks (RNN) in conjunction with technical indicators such as Exponential Moving Average...
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Active Speaker Detection (ASD) aims to determine whether each candidate in a video frame is speaking. The egocentric dataset Ego4D introduces unique challenges for this task, such as dynamic shooting angles that cause...
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