Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Soumyajit Poddar"'
Publikováno v:
Alexandria Engineering Journal, Vol 61, Iss 1, Pp 795-809 (2022)
Convolutional Neural Networks (CNNs) exhibit significant performance enhancements in several machine learning tasks such as surveillance, intelligent transportation, smart grids and healthcare systems. With the proliferation of physical things being
Externí odkaz:
https://doaj.org/article/86b7c5979fc24174a411584486990592
Publikováno v:
ACM Journal on Emerging Technologies in Computing Systems. 18:1-23
Convolutional neural networks (CNNs) have gained a massive impression in the fields of computer vision and especially in the embedded applications because of their high accuracy and performance. However, high computational complexity and power consum
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::533cfe793ab99597bccb739a7e95f442
https://doi.org/10.1145/3544975
https://doi.org/10.1145/3544975
Publikováno v:
IEEE Transactions on Consumer Electronics. 67:235-243
In medical practices, the detection of diseases highly depends on different medical tests. Electrocardiogram (ECG) technique is commonly used for heart disease diagnosis. Doctors can measure pulse and other heart boundaries with the aid of it. Fast a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be9ff644e13d789ce91c85a6425155a5
https://doi.org/10.1109/tce.2021.3129316
https://doi.org/10.1109/tce.2021.3129316
Publikováno v:
IET Computers & Digital Techniques. 14:47-60
A major issue faced by data scientists today is how to scale up their processing infrastructure to meet the challenge of big data and high-performance computing (HPC) workloads. With today's HPC domain, it is required to connect multiple graphics pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49063c4544811d47d68895518bc2f018
https://doi.org/10.1049/iet-cdt.2019.0092
https://doi.org/10.1049/iet-cdt.2019.0092
Publikováno v:
Journal of Circuits, Systems and Computers. 30
Convolutional neural networks (CNNs) have emerged as a prominent choice in artificial intelligence tasks. Recent advancements in CNN designs have greatly improved the performance and energy-efficiency of several computation-intensive applications. Ho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d48d4eb229aa9e05578cf99c28834631
https://doi.org/10.1142/s0218126621502662
https://doi.org/10.1142/s0218126621502662
Publikováno v:
ISDCS
Approximate computing in recent times has evolved in a humongous manner due to the extensive error-resilient capability of various data-intensive applications. In this paper, an approximate multiplier (SEAMBA) is proposed. It is called semi-approxima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b4f9f565b42d9af7260ae96373cb88e5
https://doi.org/10.1109/isdcs52006.2021.9397894
https://doi.org/10.1109/isdcs52006.2021.9397894
Publikováno v:
iSES
Natural processes are non-linear dynamical systems. Samples extracted from such processes are often estimated through non-Euclidean geometry like fractals. Provided such a structure exists in a given data distribution, it becomes imperative to use no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ed76661a2d733bf30f74652bb9c9331
https://doi.org/10.1109/ises50453.2020.00027
https://doi.org/10.1109/ises50453.2020.00027
Publikováno v:
iSES
In this work, we have performed a forearm orientation invariant analysis for artificial wrist movement classification on a specific subject using the surface electromyography (sEMG) signal. The muscle contraction effect has been included to incorpora
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9132b18a3c5f1a6d6e99c613db0aedc9
https://doi.org/10.1109/ises50453.2020.00030
https://doi.org/10.1109/ises50453.2020.00030
Publikováno v:
2020 IEEE 7th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON).
Emotion Recognition is one of the prerequisites for Human to Machine (H2M) cognitive communication. H2M communication using Electro-Encephalogram (EEG) based cognitive interfaces lowers overall reaction latency and improves decision-making throughput
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df9540d711fa5f904d81e911e496e9b3
https://doi.org/10.1109/upcon50219.2020.9376506
https://doi.org/10.1109/upcon50219.2020.9376506
An Efficient Region of Interest Detection and Segmentation in MRI Images Using Optimal ANFIS Network
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811578335
The detection of tumour regions in Glioma brain images is a time-consuming task. This paper discusses the algorithm for efficient detection of tumour using Optimal Adaptive Neuro-Fuzzy Inference System (OANFIS). The proposed methodology consists of f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87cb549a623eca0d1b956709d80ef3e7
https://doi.org/10.1007/978-981-15-7834-2_50
https://doi.org/10.1007/978-981-15-7834-2_50
