Social network user profiling with multilayer semantic modeling using ego network

K Balasubramaniam, S Vidhya… - International Journal of …, 2022 - igi-global.com
Social and information networks undermine the real relationship between the individuals
(ego) and the friends (alters) they are connected with on social media. The structure of …

Social network analysis for precise friend suggestion for twitter by associating multiple networks using ml

DKS Singh, N Nithya, L Rahunathan… - International Journal of …, 2022 - igi-global.com
The main aim in this paper is to create a friend suggestion algorithm that can be used to
recommend new friends to a user on Twitter when their existing friends and other details are …

Enhanced Machine learning algorithms Lightweight Ensemble Classification of Normal versus Leukemic Cel

K Sridhar, AR Yeruva, PN Renjith, A Dixit… - Journal of …, 2022 - pnrjournal.com
Leukemia is type of cancer in blood which impacts the lymphatic framework and the bone
marrow and also impacts white blood cells. Leukemia, in contrast to other types of cancer …

An efficient approach for object detection using deep learning

SM Patil, CM Raut, AP Pande, AR Yeruva… - Journal of …, 2022 - pnrjournal.com
Object identification is more significant application in Deep learning innovation which is
recognized by areas of strength for its element learning and component portrayal contrasted …

Cryptosystem in artificial neural network in Internet of Medical Things in Unmanned Aerial Vehicle

NJ Mohammed, MMU Hassan - Journal of Survey in …, 2023 - sifisheriessciences.com
Abstract The Internet of Medical Things (IoMT) has revolutionized the healthcare industry by
providing remote patient monitoring and real-time data analysis. Unmanned Aerial Vehicles …

Quantum cryptography in Convolution neural network approach in Smart cities

NJ Mohammed - Journal of Survey in Fisheries Sciences, 2023 - sifisheriessciences.com
Quantum cryptography is a field that has achieved ample of attraction in lately to the
increasing need for secure communication in various applications. Smart cities are one such …

Energy Efficient Intrusion Detection in a heterogeneous environment of Wireless sensor networks

A Ayaz, P Potluri, AR Yeruva, P Satyasriram… - …, 2022 - search.proquest.com
Few heterogeneous nodes, such as nodes with greater computational capability, can be
strategically placed in Wireless Sensor Networks (WSN) to maximize network lifetime …

Deep Neural Network for Image Recognition In Medical Diagnosis.

AR Kandula, K Tamilarasi… - Journal of …, 2022 - search.ebscohost.com
Classification of medical images is a crucial aspect of clinical therapy and education.
However, the performance of the conventional approach has reached its limit. In addition …

EHML: An Efficient Hybrid Machine Learning Model for Cyber Threat Forecasting in CPS

UK Lilhore, S Simaiya, JK Sandhu… - 2023 International …, 2023 - ieeexplore.ieee.org
Cyber-attacks have risen to prominence as the world's most serious issue. The rise in cyber-
attacks also introduces several new cyber crimes. Cyber-attack detection and prevention are …

A Smart Air Pollution Detector Using Machine Learning

MS Kumar, MSMS Vani, M Saikumar… - 2023 3rd …, 2023 - ieeexplore.ieee.org
Air pollution is a significant global concern that poses numerous health risks and
environmental challenges. To tackle this issue effectively, the development of advanced air …