A finite-time boundedness (FTB) round-robin protocol (RRP) control problem for the 2-D continuous-discrete system described by Roesser model is investigated in the work. Firstly, a novel 2-D RRP is developed to reduce...
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Wind energy is the cleanest type of renewable energy which is applicable where wind speed is abundant as compare to the other renewable energies like solar, tidal as it affects the environment to some extent. The wind...
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In this paper, we use deep reinforcement learning to enable connected and automated vehicles (CAVs) to drive in a intersection with human-driven vehicles. The multi-agent deep deterministic policy gradient (MADDPG) al...
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Cooperative, connected and automated mobility (CCAM) is a step further compared to the driving solutions of the past decade. The possibility of sharing up-to-date information about the state of the traffic infrastruct...
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ISBN:
(纸本)9783031709654;9783031709661
Cooperative, connected and automated mobility (CCAM) is a step further compared to the driving solutions of the past decade. The possibility of sharing up-to-date information about the state of the traffic infrastructure, or about any agent on the road, makes it possible to generate more complex decision systems in connected and automated vehicles. In that sense, the notion of what is happening around the vehicle, as well as the representation of relevant traffic events, becomes of vital importance for decision making processes in complex traffic situations. Before starting its journey, the vehicle systems need to have a robust and clear notion of the traffic scene, i.e. all those static and dynamic elements the vehicle can come up with while driving. Thus, this information, when processed, would provide sufficient semantics of the surroundings to find out what needs to be done next depending on the context. This chapter proposes the development and design of an information system that aims to generate the necessary data structures to represent the traffic scene information. This representation will serve, once integrated in an automated software ecosystem, to understand the traffic context and act accordingly to the semantics of the scene.
The integration of Artificial Intelligence (AI) into robotic arms, particularly through the use of Large Language Models (LLMs), marks a significant advancement in automation, enabling these devices to perform complex...
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Quantum computing is poised to revolutionize numerous fields, including artificial intelligence (AI) and machine learning (ML), by offering the potential for vastly improved computational efficiency and speed. This pa...
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ISBN:
(数字)9798331527495
ISBN:
(纸本)9798331527501
Quantum computing is poised to revolutionize numerous fields, including artificial intelligence (AI) and machine learning (ML), by offering the potential for vastly improved computational efficiency and speed. This paper explores the intersection of quantum computing and intelligentsystems, providing an in-depth analysis of how quantum computing can be harnessed to create next-generation AI systems. We discuss the fundamental principles of quantum computing, its potential advantages over classical computing, and current applications and challenges in integrating quantum computing with AI. Additionally, we explore the future trajectory of these fields, speculating on how the convergence of quantum computing and AI will shape future technological advancements.
IoT Power Monitoring System for Grid-connected Solar Power systems is designed to improve the performance and reliability of solar panels used in residential homes. The system records the daily energy consumption of t...
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The proceedings contain 72 papers. The topics discussed include: DiverSim: a customizable simulation tool to generate diverse vulnerable road user datasets;recognition of typical highway driving scenarios for intellig...
ISBN:
(纸本)9789897587450
The proceedings contain 72 papers. The topics discussed include: DiverSim: a customizable simulation tool to generate diverse vulnerable road user datasets;recognition of typical highway driving scenarios for intelligent connected vehicles based on long short-term memory network;a simulator study on car user’s perceptions in interaction with autonomous shuttles;exploring shared gaussian occupancies for tracking-free, scene centric pedestrian motion prediction in autonomous driving;identification of traffic bottlenecks in central Dhaka through spreading graph-based congestion analysis;FlexCloud: direct, modular georeferencing and drift-correction of point cloud maps;energy consumption prediction with uncertainty quantification for electric truck operations: a data-driven approach;and understanding car usage patterns for V2G integration: insights from Dutch travel diaries.
The proceedings contain 40 papers. The special focus in this conference is on Smart IoT systems: Innovations and computing. The topics include: Systematic Literature Review on Role of AI in IoT-Based He...
ISBN:
(纸本)9789819751990
The proceedings contain 40 papers. The special focus in this conference is on Smart IoT systems: Innovations and computing. The topics include: Systematic Literature Review on Role of AI in IoT-Based Healthcare Solutions;a Hybrid Machine Learning Model for Lung Disease Prediction;analyzing Student Feedback with Natural Language Processing for Enhancing Student Perception;enabling Technology for Smart and intelligent Transportation: Analyse the Uses and Impact of Blockchain Technology and Artificial intelligent on Trucking Industry for Better Results;Detecting Parkinson Disease Using Various AI Enabled Methods: Recent Advances, Requirements, and Open Challenges;synergistic Fusion of Steganography and Cryptography in Medical Imaging: A Comparative Analysis to Enhance Image Security;detecting Inattentive and Aggressive Driver Behavior Using Deep Learning: Recent Advances, Challenges with Performance Evaluation;Improved Brain Tumor Classification Accuracy Using CNN Architecture with Efficient Net on Magnetic Resonance Imaging;noise Prediction: A Case Study of Gjilan City;economic Crimes in Current Era: World and Indian Context;analyzing the Citation Networks Using Community Detection Approaches: A Review;A Hybrid Correlation Feature Selection Based Support Vector Machine (CFS-SVM) for Effective Software Defect Prediction;mitigating Risks in Vehicle Fires: An Integrated Approach for Early Detection and Real-Time Alert System;multimodal Data Fusion: Combining Big Data and Deep Learning for Enhanced Predictive Models;Analyzing Artificial Intelligence Based Intrusion Detection System in Detecting DDoS Attack;preserving Our Heritage: Buildings Deep Learning Solutions for Monitoring Cultural Heritage Structures Using Automated Crack Detection;Insurance_4_YOU: MCDM Equipped User-Friendly intelligent System for Personalized Life Insurance Recommendations;apriori Analysis of Deep Learning Models on a Multi-class Data Set.
The integration of 5G technology with Vehicular Ad-hoc Networks (VANETs) represents a significant advancement in the field of intelligent Transportation systems (ITS). This paper explores the potential of 5G to enhanc...
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