Zobrazeno 1 - 10
of 154
pro vyhledávání: '"Andreas Kanavos"'
Autor:
Anchal Kumawat, Sucheta Panda, Vassilis C. Gerogiannis, Andreas Kanavos, Biswaranjan Acharya, Stella Manika
Publikováno v:
Journal of Imaging, Vol 10, Iss 9, p 228 (2024)
This paper presents a novel hybrid approach to feature detection designed specifically for enhancing Feature-Based Image Registration (FBIR). Through an extensive evaluation involving state-of-the-art feature detectors such as BRISK, FAST, ORB, Harri
Externí odkaz:
https://doaj.org/article/b76faa11b41b4e01b5446a5015856662
Autor:
Leonidas Agathos, Andreas Avgoustis, Xristiana Kryelesi, Aikaterini Makridou, Ilias Tzanis, Despoina Mouratidis, Katia Lida Kermanidis, Andreas Kanavos
Publikováno v:
Information, Vol 15, Iss 8, p 500 (2024)
Text simplification is crucial in bridging the comprehension gap in today’s information-rich environment. Despite advancements in English text simplification, languages with intricate grammatical structures, such as Greek, often remain under-explor
Externí odkaz:
https://doaj.org/article/f44ac086c62546a3ab72ee34f6751ef6
Autor:
Thottempudi Pardhu, Vijay Kumar, Andreas Kanavos, Vassilis C. Gerogiannis, Biswaranjan Acharya
Publikováno v:
Mathematics, Vol 12, Iss 15, p 2314 (2024)
In this study, we address the challenge of accurately classifying human movements in complex environments using sensor data. We analyze both video and radar data to tackle this problem. From video sequences, we extract temporal characteristics using
Externí odkaz:
https://doaj.org/article/caeec1eb851d4e148184ca93236bb4e1
Autor:
Abhishek Kadalagere Lingaraju, Mudligiriyappa Niranjanamurthy, Priyanka Bose, Biswaranjan Acharya, Vassilis C. Gerogiannis, Andreas Kanavos, Stella Manika
Publikováno v:
Smart Cities, Vol 6, Iss 3, Pp 1507-1522 (2023)
Massive human population, coupled with rapid urbanization, results in a substantial amount of garbage that requires daily collection. In urban areas, garbage often accumulates around dustbins without proper disposal at regular intervals, creating an
Externí odkaz:
https://doaj.org/article/ff301d3b75ca42b585bb17f2dadc56ae
Autor:
Stavroula Kridera, Andreas Kanavos
Publikováno v:
Mathematical and Computational Applications, Vol 29, Iss 3, p 37 (2024)
This study explores trust dynamics within online social networks, blending social science theories with advanced machine-learning (ML) techniques. We examine trust’s multifaceted nature—definitions, types, and mechanisms for its establishment and
Externí odkaz:
https://doaj.org/article/aa539c55e5024d03a540776d2d95f89b
Publikováno v:
Multimodal Technologies and Interaction, Vol 8, Iss 6, p 43 (2024)
Augmented Reality (AR) enhances learning by integrating interactive and immersive elements that bring content to life, thus increasing motivation and improving retention. AR also supports personalized learning, allowing learners to interact with cont
Externí odkaz:
https://doaj.org/article/81d048c6061142e183e70ec37586c70e
Publikováno v:
Information, Vol 15, Iss 4, p 233 (2024)
This study introduces Protectbot, an innovative chatbot framework designed to improve safety in children’s online gaming environments. At its core, Protectbot incorporates DialoGPT, a conversational Artificial Intelligence (AI) model rooted in Gene
Externí odkaz:
https://doaj.org/article/c01a7b1df39d4434a7ac30233f73f41f
Autor:
Vassilis C. Gerogiannis, Dimitrios Tzimos, George Kakarontzas, Eftychia Tsoni, Omiros Iatrellis, Le Hoang Son, Andreas Kanavos
Publikováno v:
Mathematics, Vol 12, Iss 5, p 680 (2024)
This paper introduces a semi-automated approach for the prioritization of software features in medium- to large-sized software projects, considering stakeholders’ satisfaction and dissatisfaction as key criteria for the incorporation of candidate f
Externí odkaz:
https://doaj.org/article/d637559f267e43ca9b9132008074b42b
Autor:
Majdi Sukkar, Madhu Shukla, Dinesh Kumar, Vassilis C. Gerogiannis, Andreas Kanavos, Biswaranjan Acharya
Publikováno v:
Information, Vol 15, Iss 2, p 104 (2024)
Effective collision risk reduction in autonomous vehicles relies on robust and straightforward pedestrian tracking. Challenges posed by occlusion and switching scenarios significantly impede the reliability of pedestrian tracking. In the current stud
Externí odkaz:
https://doaj.org/article/012ca0cca94a431faf39b225055c7755
Autor:
Annwesha Banerjee Majumder, Somsubhra Gupta, Dharmpal Singh, Biswaranjan Acharya, Vassilis C. Gerogiannis, Andreas Kanavos, Panagiotis Pintelas
Publikováno v:
Algorithms, Vol 16, Iss 12, p 538 (2023)
Heart disease is a leading global cause of mortality, demanding early detection for effective and timely medical intervention. In this study, we propose a machine learning-based model for early heart disease prediction. This model is trained on a dat
Externí odkaz:
https://doaj.org/article/d70633a56eed4ed8a351c7be48a042d2