Outputs (5)

A novel approach to document similarity retrieval using sentence transformers and vector databases (2025)
Presentation / Conference Contribution

This study introduces a novel method for document similarity retrieval, leveraging Sentence Transformers for efficient processing and Milvus for vector storage. The workflow starts by extracting text from crowd-sourced vector databases and segmenting... Read More about A novel approach to document similarity retrieval using sentence transformers and vector databases.

Integrating multi-omics data with deep learning for predictive modelling of autoimmune and neurodegenerative diseases (2025)
Presentation / Conference Contribution

In precision medicine, predicting the onset and progression of autoimmune and neurodegenerative diseases poses a multifaceted challenge due to their intricate molecular complexities. Traditional diagnostic methods, while foundational, often fall shor... Read More about Integrating multi-omics data with deep learning for predictive modelling of autoimmune and neurodegenerative diseases.

An improved convolutional neural network for churn analysis (2023)
Journal Article

The significance of customer churn analysis has escalated due to the increasing availability of relevant data and intensifying competition. Researchers and practitioners are focused on enhancing prediction accuracy in modeling approaches, with deep n... Read More about An improved convolutional neural network for churn analysis.

A survey on customer churn prediction using machine learning and data mining techniques in e-commerce (2022)
Presentation / Conference Contribution

In recent era, major companies from e-commerce sector should focus on customer identification through churns in accordance to their business strategy as the market saturation increases. Several e-commerce professionals and industrialists highlighted... Read More about A survey on customer churn prediction using machine learning and data mining techniques in e-commerce.

Green computing emerging trends (2015)
Presentation / Conference Contribution

Green computing, or sustainable computing, focuses on reducing the environmental impact of information technology through energy-efficient design, responsible manufacturing, and sustainable disposal practices. Emerging trends in this field include AI... Read More about Green computing emerging trends.