Network intrusion detection of drones using recurrent neural networks

Y Sucharitha, PCS Reddy… - … : Future Trends and …, 2023 - Wiley Online Library
Summary Flying Ad Hoc Network (FANET) has obtained a great deal of interest over recent
times because of their significant applications. Thus, various examinations have been led on …

A design and challenges in energy optimizing CR-wireless sensor networks

PC Shaker Reddy, Y Sucharitha - Recent Advances in …, 2023 - ingentaconnect.com
Background: The progress of the Cognitive Radio-Wireless Sensor Network is being
influenced by advancements in wireless sensor networks (WSNs), which significantly have …

Fake News detection using SVM algorithm in machine learning

S Vinothkumar, S Varadhaganapathy… - 2022 International …, 2022 - ieeexplore.ieee.org
Online news has taken over as the primary source of information in recent years. People
don't have enough time to read the newspaper, so they utilise social media to keep up with …

Detection of spam messages in e-messaging platform using machine learning

S Vinothkumar, S Varadhaganapathy… - 2022 Fifth …, 2022 - ieeexplore.ieee.org
In recent years, the internet has surpassed print as the dominant source of knowledge
Individuals who don't have enough time to actually read the newspaper resort to social …

ACADEMIC PERFORMANCE OF SOUTH INDIAN UNDERGRADUATE STUDENTSIN RELATION TO THEIR ACHIEVEMENT MOTIVATION, COGNITIVE STYLE AND …

D Retnamma, S Babu - Journal of Higher Education Theory and …, 2024 - johetap.com
Over the years, researchers are interested in studying empirically, the character of student's
personal characteristics and mental processes underlying their learning and Academic …

[PDF][PDF] Image recognition using deep residual learning

PCS Reddy, G Ravi Kumar, S Yadala - Int J Res Eng Sci (IJRES), 2022 - researchgate.net
Deeper neural networks are more difficult to train. We present a residual learning framework
to ease the training of networks that are substantially deeper than those used previously. We …

ENHANCED NOISE FILTERING AND SEGMENTATION USING HCLAHE AND ADF WITH GACT TO IDENTIFY TUMOR CELLS

S Priya, DDV Radha - Journal of Data Acquisition and Processing, 2024 - sjciycl.cn
The segmentation of mammogram images is an essential component in breast cancer early
detection. Accurate segmentation is still difficult to achieve because of the mammography …

Crowd-sourced AI based Indoor Localization using Support Vector Regression and Pedestrian Dead Reckoning

T Nagaraju, M Rathinam - International Journal of Sensors …, 2023 - ingentaconnect.com
Aims and Background: Artificial intelligence (AI) is expanding in the market daily to assist
humans in a variety of ways. However, as these models are expensive, there is still a gap in …

[PDF][PDF] A Review on Industry 4.0 Information Integration and Its Application

MR Chinnasami Sivaji, M Mani - 2022 - researchgate.net
Information integration with CPS and industrial advanced technologies, Industry 4.0 will
improve the overall quality of industrial production. The" smart factory" is an integral part of …

[PDF][PDF] A Survey on Digital Communication and Its Characterization

MR ManjulaSelvam, M Mani - 2022 - researchgate.net
Digital communication is a point-to-point or through point-to-point multidisciplinary
communication channel is the physical exchange of data. This is to replace personal …