A5019060070- Smart Agriculture and AI
- Horticultural and Viticultural Research
- Forecasting Techniques and Applications
- Aviation Industry Analysis and Trends
- Remote Sensing in Agriculture
- Date Palm Research Studies
- Robotic Locomotion and Control
- Industrial Vision Systems and Defect Detection
- Spectroscopy Techniques in Biomedical and Chemical Research
- Quantum Mechanics and Applications
- Remote Sensing and LiDAR Applications
- Consumer Market Behavior and Pricing
- EEG and Brain-Computer Interfaces
- Robotic Mechanisms and Dynamics
- Auction Theory and Applications
- Plant Disease Management Techniques
- Blind Source Separation Techniques
- Vehicle License Plate Recognition
- ECG Monitoring and Analysis
- Biofield Effects and Biophysics
- Olfactory and Sensory Function Studies
- Mechatronics Education and Applications
- Air Traffic Management and Optimization
International Hellenic University
2019-2023
Institute of Information and Communication Technologies
2020
Ursit (Bulgaria)
2020
Technological Educational Institute of Eastern Macedonia and Thrace
2017
This paper deals with the problem of airfare prices prediction. For this purpose a set features characterizing typical flight is decided, supposing that these affect price an air ticket. The are applied to eight state art machine learning (ML) models, used predict tickets prices, and performance models compared each other. Along prediction accuracy model, studies dependency on feature represent airfare. experiments novel dataset consisting 1814 data flights Aegean Airlines for specific...
This work pursues the potential of extending “Industry 4.0” practices to farming toward achieving “Agriculture 4.0”. Our interest is in fruit harvesting, motivated by problem addressing shortage seasonal labor. In particular, here we present an integrated system architecture Autonomous Robot for Grape harvesting (ARG). The overall consists three interdependent units: (1) aerial unit, (2) a remote-control unit and (3) ARG ground unit. Special attention paid ARG; latter designed built carry...
Globalization of markets involves new strategies and price policies from professionals that contribute to global competitiveness. Airline companies are changing tickets' prices very often considering a variety factors based on their proprietary rules algorithms searching for the most suitable policy. Recently, Artificial Intelligence (AI) models exploited latter task, due compactness, fast adaptability, many potentials in data generalization. This paper represents an analysis airfare...
Research and development in agricultural robots are continuously increasing. However, dynamically changing environments provide adverse conditions to robotics operability. In order perform the tasks safely accurately, reliable landmarks from surrounding environment need be identified. this work, deep learning is employed for accurate fast detection of high-level features vineyards, vine trunks. More specifically, Faster regions-convolutional neural network (Faster R-CNN), You Only Look Once...
This paper deals with seizure detection by processing EEG signals. In this context a methodology for transforming 1D signals to 2D images thus the task can be accomplished Convolutional Neural Networks (CNNs) is proposed. The introduced method utilizing high compactness of Tchebichef moments along highly informative Recurrence Plots (RPs) that permits application pre-trained CNN models detect cases. proposed scheme provides improved accuracy up 98% case Resnet18 model, while it shows...
This work deals with the problem of extracting route map that needs a harvesting robot in order to navigate between crop rows vineyard. The navigation mapping is computed by algorithmic processing RGB imagery acquired an unmanned aerial vehicle (UAV). proposed methodology applies simple machine vision methods and it able deliver robot's real-time high tolerance missing plants/weeds as well accuracy.
Robotic manipulators are widely used in many robotic systems, due to their speed, precision and robustness perform a variety of tasks sometimes better faster than humans. The development system based on arm, requires accurate mathematical simulation modeling the arm. This paper presents complete forward kinematic analysis Operating System (ROS) JACO <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> manipulator. Both models essential order...
Abstract In recent years, there has been an increasing integration of high technology in the execution agricultural tasks towards improving quality produced products, while reducing production costs. this context, is a special interest development automatic robots (Agrobots) with advanced techniques collecting, processing data, decision making and applying actions. A key element successful such autonomous information management monitoring system (IM2S) that accompanies it. This work presents...
This conference Proceedings volume contains a broad collection of research both foundational and applied type, written by well-known EU project groups established experts young researchers.In the presented papers different innovative theories, algorithms, and/or data driven approaches have been widely to modelling, analysis types intelligent applications.It 18 sessions, six them joint ones, in 3 streams.Four sessions are invited ones 2 poster various fields.This constitutes proceedings IEEE...