Zobrazeno 1 - 10
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pro vyhledávání: '"Amit Kumar Tyagi"'
Autor:
Amit Kumar Tyagi, N. Sreenath
Publikováno v:
Internet of Things and Cyber-Physical Systems. 1:22-33
Publikováno v:
Procedia Computer Science. 165:647-655
In the previous decade, many technologies have attracted attention from several research communities. Internet of Things (IoT) is main invention of the recent/ past decade. When these smart devices or internet connected devices are interact together,
Publikováno v:
Procedia Computer Science. 165:517-524
Increasing interest in wireless networks and the electrical devices with the help of semiconductor technology has empowered the active participation of people in the development of Wireless Body Area Networks. Sensor network’s environment for using
Publikováno v:
Biomedical Signal Processing and Control. 72:103354
This paper proposes Combining the Advantages of Radiomic features based Feature Extraction and Hyper Parameters tuned Recalling Enhanced Recurrent Neural Network (RERNN) using Lizard optimization Algorithm (LOA) for Breast cancer Classification. Here
Autor:
Shahab Ali Usmani, Kinjal Majumdar, Amit Kumar Tyagi, Amit Kumar, Abhinav Thaduri, Jay Dave, Bhinyaram Jat
Publikováno v:
Oral Oncology. 124:105633
Publikováno v:
SSRN Electronic Journal.
Arising advancements, for example, man-made reasoning, blockchain innovation, distributed computing, the Internet of Things (IoT), and so on, have transformed people (regarding living) a great deal in the most recent decade. Computerized reasoning (A
Publikováno v:
SSRN Electronic Journal.
Building trust in machines and in people always became a critical issue. Due to recent development in technology, human has moved from wired devices to wireless devices (like internet connected devices), but there are several issues (for example, sec
Publikováno v:
SSRN Electronic Journal.
Today’s due to the rapid enhancement in technology in the past two decades, devices or environment is being smarter and smarter. Human beings (person) are getting a lot of benefits due to these smart technologies in terms of smart agriculture, smar
Autor:
Amit Kumar Tyagi, Gillala Rekha
Publikováno v:
SSRN Electronic Journal.
In the past decade, machine learning techniques have been used for solving several problems with respect to big data. In current, there are several types of Machine Learning (ML) techniques available like supervised, unsupervised and semi-supervised.
Publikováno v:
SSRN Electronic Journal.
Most of the traditional classification algorithms assume their training data to be well-balanced in terms of class distribution. Real-world datasets, however, are imbalanced in nature thus degrade the performance of the traditional classifiers. An im