Zobrazeno 1 - 10
of 217
pro vyhledávání: '"Akash Kumar Bhoi"'
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
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
Deep Convolutional Network Based Machine Intelligence Model for Satellite Cloud Image Classification
Autor:
Kalyan Kumar Jena, Sourav Kumar Bhoi, Soumya Ranjan Nayak, Ranjit Panigrahi, Akash Kumar Bhoi
Publikováno v:
Big Data Mining and Analytics, Vol 6, Iss 1, Pp 32-43 (2023)
As a huge number of satellites revolve around the earth, a great probability exists to observe and determine the change phenomena on the earth through the analysis of satellite images on a real-time basis. Therefore, classifying satellite images play
Externí odkaz:
https://doaj.org/article/0e60497bbeda47dbae8b9797f28efbc9
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
Autor:
N. Sushma, H. N. Suresh, J. Mohana Lakshmi, Parvathaneni Naga Srinivasu, Akash Kumar Bhoi, Paolo Barsocchi
Publikováno v:
IEEE Access, Vol 11, Pp 80429-80447 (2023)
In the context of smart cities in India, accurate meter readings are crucial for managing household water and energy systems efficiently. However, traditional meter reading methods are costly and time-consuming due to the large number of users and th
Externí odkaz:
https://doaj.org/article/7e26cdf520534ebe87a5f4236905f1ce