Copyright and Reprint Permissions: Abstracting is permitted with credit to the source. Libraries may photocopy beyond the limits of US copyright law, for private use of patrons, those articles in this volume that carr...
Copyright and Reprint Permissions: Abstracting is permitted with credit to the source. Libraries may photocopy beyond the limits of US copyright law, for private use of patrons, those articles in this volume that carry a code at the bottom of the first page, provided that the per-copy fee indicated in the code is paid through the Copyright Clearance Center. The papers in this book comprise the proceedings of the meeting mentioned on the cover and title page. They reflect the authors' opinions and, in the interests of timely dissemination, are published as presented and without change. Their inclusion in this publication does not necessarily constitute endorsement by the editors or the Institute of Electrical and Electronics Engineers, Inc.
The proceedings contain 374 papers. The topics discussed include: kernel auto-associater from kernel principal component autoregression with application to face recognition;face recognition based on projection map and...
详细信息
ISBN:
(纸本)0769525040
The proceedings contain 374 papers. The topics discussed include: kernel auto-associater from kernel principal component autoregression with application to face recognition;face recognition based on projection map and SVD method for one training;learning topic-based mixture models for factored classification;automation agents embedded in industrial decision support systems;an analysis framework of enterprise documents for business strategy design;decision support system for modelling of systems and control systems design;a new algorithm for solving coupled algebraic Riccati equations;genetic algorithms for minimal fuel consumption of electric propulsion space vehicles;efficient finite word length determination for neural networks implementation;a heuristic immune-genetic algorithm for multimodal function optimization;genetic network programming with acquisition mechanisms of association.
The proceedings contain 18 papers. The special focus in this conference is on Artificial intelligence: Methodology, Systems, and Applications. The topics include: Cross-Lingual Style Transfer TTS for High-Quality...
ISBN:
(纸本)9783031815416
The proceedings contain 18 papers. The special focus in this conference is on Artificial intelligence: Methodology, Systems, and Applications. The topics include: Cross-Lingual Style Transfer TTS for High-Quality Machine Dubbing;an Approach to Discovering, Tracking Over Time, and Summarizing Publicly Available Information on a Given Topic;reinforcement Learning control of Cart Pole System with Spike Timing Neural Network Actor-Critic Architecture;Predictive and Explainable modelling in Economics on the Case Study of Remittance Prediction Using the NeuDen AI computational Architecture;deep Learning for Multi-class Diagnosis of Thyroid Disorders Using Selective Features;Advanced CNN-SVM Machine Learning Techniques for Facial Skin Ultrasound Image Analysis;Testing the NEAT Algorithm on a PSPACE-Complete Problem;investigating the Regularization of Deep Neural Networks for Affect Recognition with Relevance-Guided Local Explanations;Layered Data-Centric AI to Streamline Data Quality Practices for Enhanced automation;Combining Graph NN and LLM for Improved Text-Based Emotion Recognition;a Novel Study on modelling and Adaptive Optimal control of a Tubular Reactor Based on Gaussian Processes;converging Dimensions: Information Extraction and Summarization Through Multisource, Multimodal, and Multilingual Fusion;enhancing Question Answering in Lecture Videos with a Multimodal Retrieval-Augmented Generation Framework;agent-Based Simulation Leveraging Declarative Modeling for Efficient Resource Allocation in Emergency Scenarios;enhancing Security in Federated Learning: Detection of Synchronized Data Poisoning Attacks;Clinical and Acquisition Data for Optimizing MGMT Methylation Status Prediction: A Comprehensive Ensemble Strategy Emphasizing Non-invasive Approaches.
The rapid advancements in edge computing have opened new avenues for optimizing real-time control systems in maritime environments. Traditional centralized systems face challenges such as high latency, limited scalabi...
详细信息
In practical engineering, the key performance of many control systems will vary with variation of some parameters in the system, which greatly affect the performance control of the entire system. If suitable parameter...
详细信息
The paper focuses on reducing computational time when solving optimal control problems by expressing them within a flat coordinate system. To demonstrate and discuss this approach, two case studies are presented: Time...
详细信息
The proceedings contain 298 papers. The topics discussed include: design and implementation of artificial intelligence-driven network intrusion detection system;comparative study of intelligent algorithms in fault dia...
ISBN:
(纸本)9798331529246
The proceedings contain 298 papers. The topics discussed include: design and implementation of artificial intelligence-driven network intrusion detection system;comparative study of intelligent algorithms in fault diagnosis of aviation mechanical systems;design and implementation of network intrusion detection system based on machine learning;evaluation of teaching quality in higher mathematics courses based on artificial neural networks;research on mechanical automationcontrol based on bidirectional long short-term memory;intelligent mapping technology for single line diagram and layered diagram of intelligent distribution network;a comprehensive analysis of knowledge graph-based social recommendation system;and networks assessment of regional economic development level prediction with deep graph convolutional network.
In the continuous casting of steel slabs, a constant mold level is crucial for the quality of the final products. However, mold level fluctuations may be caused by unsteady bulging, i.e., a time-varying bending of the...
详细信息
In this paper, a discrete-time projection neural network with an adaptive step size (DPNN) is proposed for distributed global optimization. The DPNN is proven to be convergent to a Karush-Kuhn-Tucker point. Several DP...
详细信息
暂无评论