Zobrazeno 1 - 10
of 109
pro vyhledávání: '"Vassilis C. Gerogiannis"'
Publikováno v:
IEEE Access, Vol 12, Pp 46470-46483 (2024)
Regulatory compliance in the pharmaceutical industry is challenging, requiring dedicated resources and meticulous control over production processes to ensure adherence to established regulatory guidelines, specifically ALCOA+ (Attributable, Legible,
Externí odkaz:
https://doaj.org/article/0efb5c18d6ef4c8b8fc2b778b34ac2cd
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:
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:
Isaak Kavasidis, Efthimios Lallas, Georgios Mountzouris, Vassilis C. Gerogiannis, Anthony Karageorgos
Publikováno v:
IEEE Access, Vol 11, Pp 57585-57597 (2023)
The plethora of available data in various manufacturing facilities has boosted the adoption of various data analytics methods, which are tailored to a wide range of operations and tasks. However, fragmentation of data, in the sense that chunks of dat
Externí odkaz:
https://doaj.org/article/73494146bbd24fd3a5c6961ef332197f
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
Autor:
Vivek Kumar Prasad, Debabrata Dansana, Madhuri D. Bhavsar, Biswaranjan Acharya, Vassilis C. Gerogiannis, Andreas Kanavos
Publikováno v:
Information, Vol 14, Iss 11, p 619 (2023)
With the proliferation of IoT devices, there has been exponential growth in data generation, placing substantial demands on both cloud computing (CC) and internet infrastructure. CC, renowned for its scalability and virtual resource provisioning, is
Externí odkaz:
https://doaj.org/article/8051bf8822ba486fbfc9dd44ae535e1d
Autor:
Shubham Mathesul, Debabrata Swain, Santosh Kumar Satapathy, Ayush Rambhad, Biswaranjan Acharya, Vassilis C. Gerogiannis, Andreas Kanavos
Publikováno v:
Algorithms, Vol 16, Iss 10, p 494 (2023)
The COVID-19 pandemic has posed significant challenges in accurately diagnosing the disease, as severe cases may present symptoms similar to pneumonia. Real-Time Reverse Transcriptase Polymerase Chain Reaction (RT-PCR) is the conventional diagnostic
Externí odkaz:
https://doaj.org/article/3bf788dce2ca42f0bd85a94f073b2b99