BAuth-ZKP—A blockchain-based multi-factor authentication mechanism for securing smart cities
The overwhelming popularity of technology-based solutions and innovations to address day-
to-day processes has significantly contributed to the emergence of smart cities. where …
to-day processes has significantly contributed to the emergence of smart cities. where …
Adam or Eve? Automatic users' gender classification via gestures analysis on touch devices
Gender classification of mobile devices' users has drawn a great deal of attention for its
applications in healthcare, smart spaces, biometric-based access control systems and …
applications in healthcare, smart spaces, biometric-based access control systems and …
Machine learning in project analytics: a data-driven framework and case study
The analytic procedures incorporated to facilitate the delivery of projects are often referred to
as project analytics. Existing techniques focus on retrospective reporting and understanding …
as project analytics. Existing techniques focus on retrospective reporting and understanding …
[HTML][HTML] Touchscreen gestures as images. A transfer learning approach for soft biometric traits recognition
Mobile devices are nowadays ubiquitous. They are equipped with a variety of sensors, each
designed for capturing specific signals which can be exploited to acquire discriminating …
designed for capturing specific signals which can be exploited to acquire discriminating …
Induced emotion-based music recommendation through reinforcement learning
Music is widely used for mood and emotion regulation in our daily life. As a result, many
research works on music information retrieval and affective human-computer interaction …
research works on music information retrieval and affective human-computer interaction …
Classification bullying/cyberbullying through smartphone sensor and a questionnaire application
This study establishes a correlation between computer science and psychology, specifically
focusing on the incorporation of smartphone sensors and users' personality index. A limited …
focusing on the incorporation of smartphone sensors and users' personality index. A limited …
Classification of Virtual harassment on social networks using ensemble learning techniques
Background: Internet social media platforms have become quite popular, enabling a wide
range of online users to stay in touch with their friends and relatives wherever they are at …
range of online users to stay in touch with their friends and relatives wherever they are at …
An enhanced soft-computing based strategy for efficient feature selection for timely breast cancer prediction: Wisconsin Diagnostic Breast Cancer dataset case
When contemplating the improvement of overall performance in machine learning (ML)
models, a critical strategy for optimizing data preparation is feature selection (FS). There has …
models, a critical strategy for optimizing data preparation is feature selection (FS). There has …
Generative Adversarial Network to evaluate quantity of information in financial markets
Nowadays, the information obtainable from the markets are potentially limitless. Economic
theory has always supported the possible advantage obtainable from having more …
theory has always supported the possible advantage obtainable from having more …
SIGNIFICANCE deep learning based platform to fight illicit trafficking of Cultural Heritage goods
The illicit traffic of cultural goods remains a persistent global challenge, despite the
proliferation of comprehensive legislative frameworks developed to address and prevent …
proliferation of comprehensive legislative frameworks developed to address and prevent …