Zobrazeno 1 - 10
of 2 523
pro vyhledávání: '"A. Elmir"'
Artificial Intelligence (AI) and infectious diseases prediction have recently experienced a common development and advancement. Machine learning (ML) apparition, along with deep learning (DL) emergence, extended many approaches against diseases appar
Externí odkaz:
http://arxiv.org/abs/2411.10486
Surveillance systems often struggle with managing vast amounts of footage, much of which is irrelevant, leading to inefficient storage and challenges in event retrieval. This paper addresses these issues by proposing an optimized video recording solu
Externí odkaz:
http://arxiv.org/abs/2411.02632
Autor:
Isbarov, Jafar, Mahammadov, Elmir
Single-cell analysis is an increasingly relevant approach in "omics'' studies. In the last decade, it has been applied to various fields, including cancer biology, neuroscience, and, especially, developmental biology. This rise in popularity has been
Externí odkaz:
http://arxiv.org/abs/2408.12031
This review article discusses the roles of federated learning (FL) and transfer learning (TL) in cancer detection based on image analysis. These two strategies powered by machine learning have drawn a lot of attention due to their potential to increa
Externí odkaz:
http://arxiv.org/abs/2405.20126
Traditional surveillance systems rely on human attention, limiting their effectiveness. This study employs convolutional neural networks and transfer learning to develop a real-time computer vision system for automatic handgun detection. Comprehensiv
Externí odkaz:
http://arxiv.org/abs/2311.13559
This paper discusses the role of Transfer Learning (TL) and transformers in cancer detection based on image analysis. With the enormous evolution of cancer patients, the identification of cancer cells in a patient's body has emerged as a trend in the
Externí odkaz:
http://arxiv.org/abs/2311.09942
In the rapidly evolving domain of artificial intelligence, chatbots have emerged as a potent tool for various applications ranging from e-commerce to healthcare. This research delves into the intricacies of chatbot technology, from its foundational c
Externí odkaz:
http://arxiv.org/abs/2311.09976
This paper study provides a novel contribution to the field of signal processing and DL for ECG signal analysis by introducing a new feature representation method for ECG signals. The proposed method is based on transforming time frequency 1D vectors
Externí odkaz:
http://arxiv.org/abs/2308.02395
Autor:
Thorsteinn Gudmundsson, Björn Redfors, Truls Råmunddal, Oskar Angerås, Petur Petursson, Araz Rawshani, Henrik Hagström, Joakim Alfredsson, Christina Ekenbäck, Loghman Henareh, Kristofer Skoglund, Charlotta Ljungman, Moman Mohammad, Tomas Jernberg, Ole Fröbert, David Erlinge, Elmir Omerovic
Publikováno v:
BMC Cardiovascular Disorders, Vol 24, Iss 1, Pp 1-8 (2024)
Abstract Background Takotsubo syndrome (TTS) is an acute heart failure syndrome with symptoms similar to acute myocardial infarction. TTS is often triggered by acute emotional or physical stress and is a significant cause of morbidity and mortality.
Externí odkaz:
https://doaj.org/article/5b36431acf7b40afae273e64f743f24e
Autor:
Truls Råmunddal, Erik Andersson, Zacharias Mandalenakis, Kristofer Skoglund, Araz Rawshani, Elmir Omerovic, Jan Borén, Petur Petursson, Aidin Rawshani, Peter Lundgren, Christian Dworeck, Lukas Hilgendorf, Vibha Gupta, Charlotta Ljungman, Gustav Smith
Publikováno v:
Open Heart, Vol 11, Iss 2 (2024)
Background Elevated troponin levels are a sensitive biomarker for cardiac injury. The quick and reliable prediction of troponin elevation for patients with chest pain from readily available ECGs may pose a valuable time-saving diagnostic tool during
Externí odkaz:
https://doaj.org/article/7f50cac17cc74fe38d72da0f369b5ec8