Zobrazeno 1 - 10
of 448
pro vyhledávání: '"Barsocchi P"'
Autor:
Gaurav Pradhan, Gopal Thapa, Ratika Pradhan, Bidita Khandelwal, Ranjit Panigrahi, Akash Kumar Bhoi, Paolo Barsocchi
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-41 (2024)
Abstract Diabetes mellitus (DM) is a common chronic condition that mainly affects older adults. It's important to identify it early to prevent complications. Machine learning is essential for early detection of DM. This article introduces a new metho
Externí odkaz:
https://doaj.org/article/480c6469d3f6426c88fe102628e72709
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-18 (2024)
Abstract Recently, new advancements in technologies have promoted the classification of brain tumors at the early stages to reduce mortality and disease severity. Hence, there is a need for an automatic classification model to automatically segment a
Externí odkaz:
https://doaj.org/article/5e5ae1d28ad04b4092bc0d8c5c4f1367
Autor:
Santosh Kumar Satapathy, Biswajit Brahma, Baidyanath Panda, Paolo Barsocchi, Akash Kumar Bhoi
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-29 (2024)
Abstract The goal is to enhance an automated sleep staging system's performance by leveraging the diverse signals captured through multi-modal polysomnography recordings. Three modalities of PSG signals, namely electroencephalogram (EEG), electroocul
Externí odkaz:
https://doaj.org/article/c82bbea008144814a7f6ebe8538845b7
Autor:
Santosh Kumar Tripathy, Rudra Kalyan Nayak, Kartik Shankar Gadupa, Rajnish Dinesh Mishra, Ashok Kumar Patel, Santosh Kumar Satapathy, Akash Kumar Bhoi, Paolo Barsocchi
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-17 (2024)
Abstract Early detection of Alzheimer's disease (AD) is critical due to its rising prevalence. AI-aided AD diagnosis has grown for decades. Most of these systems use deep learning using CNN. However, a few concerns must be addressed to identify AD: a
Externí odkaz:
https://doaj.org/article/427a86127f234fa2b94b44b0414558be
Autor:
Susant Kumar Panigrahi, Santosh Kumar Tripathy, Anirban Bhowmick, Santosh Kumar Satapathy, Paolo Barsocchi, Akash Kumar Bhoi
Publikováno v:
IEEE Access, Vol 12, Pp 25090-25105 (2024)
Na $\ddot {i}$ ve simulated additive white Gaussian noise (AWGN) may not fully characterize the complexity of real world noisy images. Owing to optimal sparsity in image representation, we propose a curvelet based model for denoising real-world RGB i
Externí odkaz:
https://doaj.org/article/45b91d35bb9b4077b5a9f62f1a51cc89
Autor:
Torres-Sospedra, Joaquín, Silva, Ivo, Klus, Lucie, Quezada-Gaibor, Darwin, Crivello, Antonino, Barsocchi, Paolo, Pendão, Cristiano, Lohan, Elena Simona, Nurmi, Jari, Moreira, Adriano
The evaluation of Indoor Positioning Systems (IPS) mostly relies on local deployments in the researchers' or partners' facilities. The complexity of preparing comprehensive experiments, collecting data, and considering multiple scenarios usually limi
Externí odkaz:
http://arxiv.org/abs/2109.09436
Publikováno v:
Data in Brief, Vol 53, Iss , Pp 110215- (2024)
This paper describes a data collection experiment and the resulting dataset based on Bluetooth beacon messages collected in an indoor museum. The goal of this dataset is to study algorithms and techniques for proximity detection between people and po
Externí odkaz:
https://doaj.org/article/333a4e961a284784be50cad0a6d10159
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 16, Iss 1, Pp 1-29 (2023)
Abstract Object detection is a critical and complex problem in computer vision, and deep neural networks have significantly enhanced their performance in the last decade. There are two primary types of object detectors: two stage and one stage. Two-s
Externí odkaz:
https://doaj.org/article/8cef36c64605405d919c468a4feac53f
Autor:
Joseph Bamidele Awotunde, Femi Emmanuel Ayo, Ranjit Panigrahi, Amik Garg, Akash Kumar Bhoi, Paolo Barsocchi
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 16, Iss 1, Pp 1-22 (2023)
Abstract Intrusion detection (ID) methods are security frameworks designed to safeguard network information systems. The strength of an intrusion detection method is dependent on the robustness of the feature selection method. This study developed a
Externí odkaz:
https://doaj.org/article/95cbc0f6190c4790a07b82884594a8be
Autor:
M. Jishnu Sai, Pratiksha Chettri, Ranjit Panigrahi, Amik Garg, Akash Kumar Bhoi, Paolo Barsocchi
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 16, Iss 1, Pp 1-20 (2023)
Abstract Machine learning helps construct predictive models in clinical data analysis, predicting stock prices, picture recognition, financial modelling, disease prediction, and diagnostics. This paper proposes machine learning ensemble algorithms to
Externí odkaz:
https://doaj.org/article/361ddcb59923415cb1c9d55f65e3dae9