Nothing Special   »   [go: up one dir, main page]

Shafik et al., 2022 - Google Patents

A reawakening of machine learning application in unmanned aerial vehicle: future research motivation

Shafik et al., 2022

View PDF
Document ID
2361132942325557146
Author
Shafik W
Matinkhah S
Shokoor F
Sharif L
Publication year
Publication venue
EAI Endorsed Transactions on Internet of Things

External Links

Snippet

Abstract Machine learning (ML) entails artificial procedures that improve robotically through experience and using data. Supervised, unsupervised, semi-supervised, and Reinforcement Learning (RL) are the main types of ML. This study mainly focuses on RL and Deep …
Continue reading at eudl.eu (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00—Subject matter not provided for in other groups of this subclass
    • G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computer systems based on biological models
    • G06N3/02—Computer systems based on biological models using neural network models
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • G06Q10/063—Operations research or analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computer systems utilising knowledge based models
    • G06N5/04—Inference methods or devices
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computer systems utilising knowledge based models
    • G06N5/02—Knowledge representation
    • G06N5/022—Knowledge engineering, knowledge acquisition
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00—Computer systems based on specific mathematical models
    • G06N7/005—Probabilistic networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation, e.g. linear programming, "travelling salesman problem" or "cutting stock problem"
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F15/00—Digital computers in general; Data processing equipment in general
    • G06F15/18—Digital computers in general; Data processing equipment in general in which a programme is changed according to experience gained by the computer itself during a complete run; Learning machines

Similar Documents

Publication Publication Date Title
Abeysirigoonawardena et al. Generating adversarial driving scenarios in high-fidelity simulators
Kurutach et al. Learning plannable representations with causal infogan
Muhammad et al. Deep learning application in smart cities: recent development, taxonomy, challenges and research prospects
San Kim et al. Machine-learning-based deep semantic analysis approach for forecasting new technology convergence
Chen et al. Autonomous exploration under uncertainty via deep reinforcement learning on graphs
Katyal et al. Uncertainty-aware occupancy map prediction using generative networks for robot navigation
Shafik et al. A reawakening of machine learning application in unmanned aerial vehicle: future research motivation
Yu et al. Modeling and implementation of classification rule discovery by ant colony optimisation for spatial land-use suitability assessment
Koceski et al. A novel quad harmony search algorithm for grid-based path finding
Bai et al. Information-driven path planning
Cheng et al. Convolutional neural network-based lane-change strategy via motion image representation for automated and connected vehicles
Xiao et al. Graph attention mechanism based reinforcement learning for multi-agent flocking control in communication-restricted environment
Maglogiannis et al. Artificial intelligence applications and innovations
Cui et al. A novel framework of graph Bayesian optimization and its applications to real-world network analysis
Sangaiah et al. Investigating routing in the vanet network: Review and classification of approaches
Yu et al. Coordinated control of intelligent fuzzy traffic signal based on edge computing distribution
Zezhong et al. Multiple super-agile satellite collaborative mission planning for area target imaging
Luo et al. Research on Unmanned Aerial Vehicle Path Planning
Hassan et al. Applications of Machine Learning in UAV Networks
Cui et al. Graph bayesian optimization: Algorithms, evaluations and applications
Juan et al. A genetic algorithm simheuristic for the open UAV task assignment and routing problem with stochastic traveling and servicing times
Kayisu et al. A Comprehensive Literature Review on Artificial Dataset Generation for Repositioning Challenges in Shared Electric Automated and Connected Mobility
Ahmadi et al. Human trajectory prediction using LSTM with Attention mechanism
Rosman et al. Action priors for learning domain invariances
Wirth Conditional Behavior Prediction of Interacting Agents on Map Graphs with Neural Networks