Zobrazeno 1 - 10
of 171
pro vyhledávání: '"Horvath Tomas"'
Autor:
Sifta Radim, Munster Petr, Sysel Petr, Horvath Tomas, Novotny Vit, Krajsa Ondrej, Filka Miloslav
Publikováno v:
Metrology and Measurement Systems, Vol 22, Iss 1, Pp 111-118 (2015)
A sensing system utilizing a standard optical fiber as a distributed sensor for the detection and localization of mechanical vibrations is presented. Vibrations can be caused by various external factors, like moving people, cars, trains, and other ob
Externí odkaz:
https://doaj.org/article/7e5e9600cb3e4a189e2451e822d3dca9
Autor:
Birihanu, Ermiyas, Mahmud, Jiyan, Kiss, Péter, Kamuzora, Adolf, Skaf, Wadie, Horváth, Tomáš, Jursonovics, Tamás, Pogrzeba, Peter, Lendák, Imre
Content delivery networks (CDNs) are the backbone of the Internet and are key in delivering high quality video on demand (VoD), web content and file services to billions of users. CDNs usually consist of hierarchically organized content servers posit
Externí odkaz:
http://arxiv.org/abs/2210.05314
Autor:
Kamuzora, Adolf, Skaf, Wadie, Birihanu, Ermiyas, Mahmud, Jiyan, Kiss, Péter, Jursonovics, Tamás, Pogrzeba, Peter, Lendák, Imre, Horváth, Tomáš
Publikováno v:
22nd Industrial Conference on Data Mining 2022, New York, USA Proceedings P. 1-10
Content delivery networks (CDNs) are key components of high throughput, low latency services on the internet. CDN cache servers have limited storage and bandwidth and implement state-of-the-art cache admission and eviction algorithms to select the mo
Externí odkaz:
http://arxiv.org/abs/2211.08273
Autor:
Skaf, Wadie, Horváth, Tomáš
Anomalies in time-series provide insights of critical scenarios across a range of industries, from banking and aerospace to information technology, security, and medicine. However, identifying anomalies in time-series data is particularly challenging
Externí odkaz:
http://arxiv.org/abs/2208.14337
Robots working in unstructured environments must be capable of sensing and interpreting their surroundings. One of the main obstacles of deep-learning-based models in the field of robotics is the lack of domain-specific labeled data for different ind
Externí odkaz:
http://arxiv.org/abs/2208.04171
In this study, we propose feature extraction for multimodal meme classification using Deep Learning approaches. A meme is usually a photo or video with text shared by the young generation on social media platforms that expresses a culturally relevant
Externí odkaz:
http://arxiv.org/abs/2207.03317
In this work, we present a multi-modal model for commercial product classification, that combines features extracted by multiple neural network models from textual (CamemBERT and FlauBERT) and visual data (SE-ResNeXt-50), using simple fusion techniqu
Externí odkaz:
http://arxiv.org/abs/2207.03305
Automatic evaluation of essay (AES) and also called automatic essay scoring has become a severe problem due to the rise of online learning and evaluation platforms such as Coursera, Udemy, Khan academy, and so on. Researchers have recently proposed m
Externí odkaz:
http://arxiv.org/abs/2206.08232
Publikováno v:
In Intelligent Systems with Applications June 2024 22
Publikováno v:
published as workshop paper in AAAI workshop on intelligent processing automation, 2020
The procure to pay process (P2P) in large enterprises is a back-end business process which deals with the procurement of products and services for enterprise operations. Procurement is done by issuing purchase orders to impaneled vendors and invoices
Externí odkaz:
http://arxiv.org/abs/2001.00288