Adamas University

Acute Stress Detection through Typing Behaviors, Smartphone Sensors and Machine Learning Techniques

Objectives: To examine whether acute stress can be recognised from smartphone typing behaviour and device motion without wearable sensors, and to identify the classifier family best suited to such data. Method: A browser-based application recorded keystroke events together with a...

Multiomics Biomarkers of ZnO Nanoparticle Toxicity Using Mitochondrial, Oxidative Stress and Epigenetic Signatures

Zinc oxide nanoparticles (ZnO NPs) rank among the highest-volume engineered nanomaterials, and their partial dissolution generates a composite particle and ion exposure that converges on three measurable molecular layers. This review consolidates quantitative endpoints reported a...

A Time-Varying Investigation of the Dynamic Interconnectedness between the Stock Market and Cryptocurrencies

This study investigates the dynamic connectedness, volatility dynamics and hedging effectiveness between the Indian stock market and cryptocurrencies using daily data from March 10, 2015, to July 4, 2023. Unlike prior studies, which examine either crisis or non-crisis periods in...

Influencer marketing and consumer engagement in shaping the relationship between pro-environmental behavior and sustainable consumption

To explore the relationship between pro-environmental behaviour and sustainable consumption and to assess the mediating effects of cognitive, emotional and behavioural engagement, as well as the moderating effect of influencer marketing, within the Stimulus-Organism-Response (S-O...

A machine learning framework for enhancing threat detection in core banking systems

Abstract One of the biggest issues around using machine learning (ML) for cybersecurity in commercial banking is the gap between proof-of-concept and in production. Not every model that has a high accuracy score on a benchmark dataset is the same model as one that is operating in...