A5069693309- Neural Networks and Applications
- Fuzzy Logic and Control Systems
- Rough Sets and Fuzzy Logic
- Smart Agriculture and AI
- Autism Spectrum Disorder Research
- Social Robot Interaction and HRI
- Horticultural and Viticultural Research
- Multi-Criteria Decision Making
- Robotics and Automated Systems
- Spectroscopy and Chemometric Analyses
- Fuzzy Systems and Optimization
- Reinforcement Learning in Robotics
- Advanced Algebra and Logic
- Teaching and Learning Programming
- Educational Technology and Assessment
- Face and Expression Recognition
- Text and Document Classification Technologies
- Cognitive Computing and Networks
- Image Retrieval and Classification Techniques
- Modular Robots and Swarm Intelligence
- AI in Service Interactions
- Infrared Thermography in Medicine
- Data Mining Algorithms and Applications
- Evolutionary Algorithms and Applications
- Time Series Analysis and Forecasting
International Hellenic University
2019-2024
Papageorgiou General Hospital
2022
Technological Educational Institute of Eastern Macedonia and Thrace
2012-2021
Institute of Information and Communication Technologies
2020
Ursit (Bulgaria)
2020
École Normale Supérieure de l'Enseignement Technique de Mohammedia
2020
Southwest Jiaotong University
2016
Technological Educational Institute of Central Greece
2008
University of Nevada, Reno
1989-2003
Aristotle University of Thessaloniki
1998-2003
Agricultural robotics has been a popular subject in recent years from an academic as well commercial point of view. This is because agricultural addresses critical issues such seasonal shortages manual labor, e.g., during harvest, the increasing concern regarding environmentally friendly practices. On one hand, several individual robots have already developed for specific tasks (e.g., monitoring, spraying, harvesting, transport, etc.) with varying degrees effectiveness. other use cooperative...
A novel distance measure between two intuitionistic fuzzy sets (IFSs) is proposed in this paper. The introduced formulates the information of each set matrix structure, where norms conjunction with implications can be applied to IFSs. advantage its flexibility, which permits different incorporated by extending applicability several applications most appropriate implication used. Moreover, might expressed equivalently using either or interval-valued sets. Appropriate experimental...
This article presents a comparative study between scale, rotation and translation invariant descriptors for shape representation retrieval. Since is one of the most widely used image feature exploited in content-based retrieval systems, authors studied each descriptor, number coefficients needed indexing their performance. Specifically, Fourier, curvature scale space, angular radial transform (ART) moment representation. The four are evaluated against other using standard methodology two...
In recent years, the agricultural sector has turned to robotic automation deal with growing demand for food. Harvesting fruits and vegetables is most labor-intensive time-consuming among main tasks. However, seasonal labor shortage of experienced workers results in low efficiency harvesting, food losses, quality deterioration. Therefore, research efforts focus on manual harvesting operations. Robotic manipulation delicate products unstructured environments challenging. The development...
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...
This paper proposes two hierarchical schemes for learning, one clustering and the other classification problems. Both can be implemented on a fuzzy lattice neural network (FLNN) architecture, to introduced herein. The corresponding learning models draw adaptive resonance theory (ART) min-max neurocomputing principles but their application domain is mathematical lattice. Therefore they handle more general types of data in addition N-dimensional vectors. FLNN model stems from...
This paper proposes a fundamentally novel extension, namely, flrFAM, of the fuzzy ARTMAP (FAM) neural classifier for incremental real-time learning and generalization based on lattice reasoning techniques. FAM is enhanced first by parameter optimization training (sub)phase, then capacity to process partially ordered (non)numeric data including information granules. The interest here focuses intervals' numbers (INs) data, where an IN represents distribution samples. We describe proposed...
A fuzzy inference system (FIS) typically implements a function f : ℝ <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">N</sup> → I, where the domain set R denotes totally ordered of real numbers, whereas range I may be either = RM (i.e., FIS regressor) or T labels classifier), etc. This study considers complete lattice (F, ≤) Type-1 Intervals' Numbers (INs), an IN F can interpreted as possibility distribution probability distribution. In...
Ripeness estimation of fruits and vegetables is a key factor for the optimization field management harvesting desired product quality. Typical ripeness involves multiple manual samplings before harvest followed by chemical analyses. Machine vision has paved way agricultural automation introducing quicker, cost-effective, non-destructive methods. This work comprehensively surveys most recent applications machine techniques estimation. Due to broad area in agriculture, this review limited only...
In the viticulture sector, robots are being employed more frequently to increase productivity and accuracy in operations such as vineyard mapping, pruning, harvesting, especially locations where human labor is short supply or expensive. This paper presents development of an algorithm for grape maturity estimation framework management. An object detection proposed based on You Only Look Once (YOLO) v7 its extensions order detect a white variety (Assyrtiko variety). The was trained using...
This paper presents advances in robot-assisted special education by specially designed social interaction games. The therapeutic objectives include an improvement communication and skills, joint attention, response inhibition cognitive flexibility of children diagnosed with Autism Spectrum Condition (ASC). To achieve the aforementioned objectives, imitation games humanoid robots are implemented. Preliminary application results suggest that treatment can improve behavior. Hence, engagement is...
This paper describes the recognition of image patterns based on novel representation learning techniques by considering higher-level (meta-)representations numerical data in a mathematical lattice. In particular, interest here focuses lattices (Type-1) Intervals' Numbers (INs), where an IN represents distribution features including orthogonal moments. A neural classifier, namely fuzzy lattice reasoning (flr) fuzzy-ARTMAP (FAM), or flrFAM for short, is described distributions INs; hence,...