A Machine Learning‐Based Big EEG Data Artifact Detection and Wavelet‐Based Removal: An Empirical Approach

S Stalin, V Roy, PK Shukla, A Zaguia… - Mathematical …, 2021 - Wiley Online Library
The electroencephalogram (EEG) signals are a big data which are frequently corrupted by
motion artifacts. As human neural diseases, diagnosis and analysis need a robust …

A survey of the recent trends in deep learning for literature based discovery in the biomedical domain

E Cesario, C Comito, E Zumpano - Neurocomputing, 2024 - Elsevier
Every day, enormous amounts of biomedical texts discussing various biomedical topics are
produced. Revealing strong semantic connections hidden in those unstructured data is …

Technical job recommendation system using APIs and web crawling

N Kumar, M Gupta, D Sharma… - Computational …, 2022 - Wiley Online Library
There has been a sudden boom in the technical industry and an increase in the number of
good startups. Kee** track of various appropriate job openings in top industry names has …

Recognition of suspicious human activity in video surveillance: A review

N Gupta, BB Agarwal - Engineering, Technology & Applied Science …, 2023 - etasr.com
Over the past few years, there has been a noticeable growth in the use of video surveillance
systems, frequently functioning as integrated systems that remotely monitor key locations. In …

Securing 5G‐IoT Device Connectivity and Coverage Using Boltzmann Machine Keys Generation

AS Rajawat, P Bedi, SB Goyal… - Mathematical …, 2021 - Wiley Online Library
In terms of growth, effect, and capability, the 5G‐enabled Internet of Things (IoT) is
incredible. The volume of data distributed and processed by IoT (Internet of Things) systems …

Deep learning and metaheuristics application in internet of things:: A literature review

Nowadays, every kind of devices with different sizes and shapes, from lamp to kitchen
appliances and industrial machines, are connected and shares information digitally in large …

[HTML][HTML] SecureVision: Advanced Cybersecurity Deepfake Detection with Big Data Analytics

N Kumar, A Kundu - Sensors, 2024 - mdpi.com
SecureVision is an advanced and trustworthy deepfake detection system created to tackle
the growing threat of 'deepfake'movies that tamper with media, undermine public trust, and …

Cyber security focused deepfake detection system using big data

N Kumar, A Kundu - SN Computer Science, 2024 - Springer
In recent months, the surge in free deep learning-based tools has facilitated the seamless
creation of convincing face exchanges in videos, leading to the emergence of …

Evaluation of search engine optimization based on blockchain technology

B Aggarwal, D Rai, N Kumar… - 2023 3rd International …, 2023 - ieeexplore.ieee.org
The process of improving a website's design, making it visible to search engines, increasing
its ranking, and getting more visitors is known as search engine optimization (SEO). There …

[HTML][HTML] Time-frequency feature-based seismic response prediction neural network model for building structures

P Zhang, Y Li, Y Lin, H Jiang - Applied Sciences, 2023 - mdpi.com
Currently, machine learning techniques are widely used in structural seismic response
studies. The developed network models for various types of seismic response provide new …