[HTML][HTML] Autonomous transaction model for e-commerce management using blockchain technology

S Sekar, A Solayappan, J Srimathi, S Raja… - International Journal of …, 2022 - igi-global.com
A blockchain is an advanced technology that can power over a decentralized network. The
authors bring it up to design the autonomous transaction system for e-commerce …

[HTML][HTML] 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 …

[HTML][HTML] A breast cancer risk predication and classification model with ensemble learning and big data fusion

V Jaiswal, P Saurabh, UK Lilhore, M Pathak… - Decision Analytics …, 2023 - Elsevier
Breast cancer is a major health issue for women all over the world. Effective care and better
patient outcomes depend on early identification and precise risk prediction. Ensemble …

Machine Learning and Computer Vision Based Methods for Cancer Classification: A Systematic Review

SB Mukadam, HY Patil - Archives of Computational Methods in …, 2024 - Springer
Cancer remains a substantial worldwide health issue that requires careful and exact
classification to plan treatment in its early stages. Classical methods of cancer diagnosis …

Breast cancer diagnosis based on hybrid SqueezeNet and improved chef-based optimizer

Q Huang, H Ding, M Effatparvar - Expert Systems with Applications, 2024 - Elsevier
The most frequent disease in women and the one that accounts for the majority of cancer-
related fatalities in females is breast cancer. An important milestone in breast cancer CAD …

[HTML][HTML] Forecasting the strength of graphene nanoparticles-reinforced cementitious composites using ensemble learning algorithms

M Khan, W Anwar, M Rasheed, T Najeh, Y Gamil… - Results in …, 2024 - Elsevier
Contemporary infrastructure requires structural elements with enhanced mechanical
strength and durability. Integrating nanomaterials into concrete is a promising solution to …

[PDF][PDF] Usefulness of machine learning and deep learning approaches in screening and early detection of breast cancer

M Ghorbian, S Ghorbian - Heliyon, 2023 - cell.com
Breast cancer (BC) is one of the most common types of cancer in women, and its prevalence
is on the rise. The diagnosis of this disease in the first steps can be highly challenging …