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Information Security and Privacy in the Digital World: Some Selected Topics
In the era of generative artificial intelligence and the Internet of Things, while there is explosive growth in the volume of data and the associated need for processing, analysis, and storage, several new challenges are faced in identifying spurious and fake information and protecting the privacy of sensitive data.
A Portfolio Rebalancing Approach for the Indian Stock Market
The portfolios are designed based on the training data from January 4, 2021 to June 30, 2022.
V2CE: Video to Continuous Events Simulator
Dynamic Vision Sensor (DVS)-based solutions have recently garnered significant interest across various computer vision tasks, offering notable benefits in terms of dynamic range, temporal resolution, and inference speed.
Portfolio Optimization: A Comparative Study
These three approaches to portfolio design are applied to the historical prices of stocks chosen from ten thematic sectors listed on the National Stock Exchange (NSE) of India.
Adversarial Attacks on Image Classification Models: FGSM and Patch Attacks and their Impact
However, very powerful and pre-trained CNN models working very accurately on image datasets for image classification tasks may perform disastrously when the networks are under adversarial attacks.
Data Privacy Preservation on the Internet of Things
Recent developments in hardware and information technology have enabled the emergence of billions of connected, intelligent devices around the world exchanging information with minimal human involvement.
A Framework of Customer Review Analysis Using the Aspect-Based Opinion Mining Approach
Opinion mining is the branch of computation that deals with opinions, appraisals, attitudes, and emotions of people and their different aspects.
Discovering Technology Gaps using the IntSight Knowledge Navigator
Knowledge analysis is an important application of knowledge graphs.
Robust Analysis of Stock Price Time Series Using CNN and LSTM-Based Deep Learning Models
Prediction of stock price and stock price movement patterns has always been a critical area of research.
Multi-Model Investigative Exploration of Social Media Data with boutique: A Case Study in Public Health
We present our experience with a data science problem in Public Health, where researchers use social media (Twitter) to determine whether the public shows awareness of HIV prevention measures offered by Public Health campaigns.
Ingesting High-Velocity Streaming Graphs from Social Media Sources
The first challenge is the high data velocity and bursty nature of the social media data.
