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 …
authors bring it up to design the autonomous transaction system for e-commerce …
Hybrid model for precise hepatitis-C classification using improved random forest and SVM method
Abstract Hepatitis C Virus (HCV) is a viral infection that causes liver inflammation. Annually,
approximately 3.4 million cases of HCV are reported worldwide. A diagnosis of HCV in …
approximately 3.4 million cases of HCV are reported worldwide. A diagnosis of HCV in …
Social network analysis for precise friend suggestion for twitter by associating multiple networks using ml
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 …
recommend new friends to a user on Twitter when their existing friends and other details are …
A Survey of EEG and Machine Learning based methods for Neural Rehabilitation
One approach to therapy and training for the restoration of damaged muscles and motor
systems is rehabilitation. EEG-assisted Brain-Computer Interface (BCI) may assist in …
systems is rehabilitation. EEG-assisted Brain-Computer Interface (BCI) may assist in …
Pap smear images classification using machine learning: a literature matrix
Cervical cancer is regularly diagnosed in women all over the world. This cancer is the
seventh most frequent cancer globally and the fourth most prevalent cancer among women …
seventh most frequent cancer globally and the fourth most prevalent cancer among women …
A smart IoMT based architecture for E-healthcare patient monitoring system using artificial intelligence algorithms
Generally, cloud computing is integrated with wireless sensor network to enable the
monitoring systems and it improves the quality of service. The sensed patient data are …
monitoring systems and it improves the quality of service. The sensed patient data are …
Artificial Intelligence and Machine Learning in Drug Discovery and Development
R Johari, A Gupta, A Sharma, S Garg… - … on System Modeling …, 2023 - ieeexplore.ieee.org
Drug discovery has undergone significant changes over the past decade thanks to artificial
intelligence (AI). To improve the efficiency and precision of medication research and …
intelligence (AI). To improve the efficiency and precision of medication research and …
[Retracted] Predicting the Spread of Vessels in Initial Stage Cervical Cancer through Radiomics Strategy Based on Deep Learning Approach
PK Pareek, PA Surendhar S, R Prasad… - … in Materials Science …, 2022 - Wiley Online Library
Novel methods and materials are used in healthcare applications for finding cancer in
various parts of the human system. To select the most suitable therapy plan for individuals …
various parts of the human system. To select the most suitable therapy plan for individuals …
Therapeutic targeting of angiopoietins in tumor angiogenesis and cancer development
The formation and progression of tumors in humans are linked to the abnormal development
of new blood vessels known as neo-angiogenesis. Angiogenesis is a broad word that …
of new blood vessels known as neo-angiogenesis. Angiogenesis is a broad word that …
Analysis of WSI images by hybrid systems with fusion features for early diagnosis of cervical cancer
Cervical cancer is one of the most common types of malignant tumors in women. In addition,
it causes death in the latter stages. Squamous cell carcinoma is the most common and …
it causes death in the latter stages. Squamous cell carcinoma is the most common and …