Current IssueView all

Comparative Analysis of Performance Metrics for Machine Learning Classifiers with a Focus on Alzheimer’s Disease Data

Sivakani Rajayyan, Syed Masood Mohamed Mustafa

Alzheimer's disease is a brain memory loss disease. Usually, it will affect persons over 60 years of age. The literature has revealed that it is quite difficult to diagnose the disease, so researchers are trying to predict the disease in the early stage. This paper proposes a framework to classify Alzheimer's patients and...

DOI: 10.18267/j.aip.198352

Longitudinal Investigation of Work Stressors Using Human Voice Features

Indhumathi Natarajan, Maheswaran Shanmugam, Samiappan Dhanalakshmi, Santhosh Easwaramoorthy, Sethuraja Kuppusamy, Saravanan Balu

Stress is a part of everyone’s life. Any event or thought that makes you upset, furious or anxious can set it off. It will affect the human health mentally and physically and produce a negative impact on nervous and immune systems in our body. The human voice carries a lot of information about the person speaking. It...

DOI: 10.18267/j.aip.208160

Multi-Class Skin Cancer Classification Using a Hybrid Dynamic Salp Swarm Algorithm and Weighted Extreme Learning Machines with Transfer Learning

Ramya Panneerselvam, Sathiyabhama Balasubramaniam

Skin cancer is a significant healthcare problem with a high mortality rate worldwide. Skin lesions occur due to the abnormal growth of skin cells in humans. Failure of early prediction and proper lesion diagnosis may lead to a malignant stage. In recent times, different skin lesion images have appeared with high similarity....

DOI: 10.18267/j.aip.211136

Survey on Security and Interoperability of Electronic Health Record Sharing Using Blockchain Technology

Reval Prabhu Puneeth, Govindaswamy Parthasarathy

Blockchain is regarded as a significant innovation and shows a set of promising features that can certainly address existing issues in real time applications. Decentralization, greater transparency, improved traceability and secure architecture can revolutionize healthcare systems. With the help of advancement in computer...

DOI: 10.18267/j.aip.187749

Forthcoming ArticlesView all

Visualisation of User Stories to UML Model: A Systematic Literature Review

Mohammad Nazrul Mornie, Nurfauza Jali, Syahrul Nizam Junaini, Edwin Mit, Cheah Wai Shiang, Suhaila Saee

The usage of Agile methodology in software development project is growing rapidly among industry professionals and academia. Unified Modelling Language (UML) conventionally accompanied Agile software development to model the software requirements. The user story is fundamental and should be identified to communicate the basic...

86

Automated Medical Document Verification on Cloud Computing Platform: Blockchain-Based Soulbound Tokens

Ashish Khanna, Yogesh Sharma, Devansh Singh, Ria Monga, Tarun Kumar

Medical documents verification is a critical and expensive process that often relies on centralized databases. However, manual verification of such documents is time-consuming and lacks credibility. Deep learning and blockchain technology can be employed to address this issue by reducing fraud and increasing efficiency. The...

25

Emotion-Based Sentiment Analysis Using Conv-BiLSTM With Frog Leap Algorithms

Sandeep Yelisetti, Nellore Geethanjali

Social media, blogs, review sites and forums can produce large volumes of data in the form of users’ emotions, views, arguments and opinions about various political events, brands, products and social problems. The user's sentiment expressed on the web influences readers, politicians and product vendors. These unstructured...

DOI: 10.18267/j.aip.206143

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