Tourist recommender systems based on emotion recognition—a scientometric review

L Santamaria-Granados, JF Mendoza-Moreno… - Future Internet, 2020 - mdpi.com
Recommendation systems have overcome the overload of irrelevant information by
considering users' preferences and emotional states in the fields of tourism, health, e …

A systematic review of crime facilitated by the consumer Internet of Things

JM Blythe, SD Johnson - Security Journal, 2021 - Springer
The nature of crime is changing—estimates suggest that at least half of all crime is now
committed online. Once everyday objects (eg televisions, baby monitors, door locks) that are …

[HTML][HTML] A new in-form and role-based deep player performance index for player evaluation in T20 cricket

CD Prakash, S Verma - Decision Analytics Journal, 2022 - Elsevier
Sports analytics has benefited immensely from the growth and popularity of Machine
Learning algorithms. Machine Learning and Data Mining advances have enabled sports …

SoK: the dual nature of technology in sexual abuse

B Obada-Obieh, Y Huang, L Spagnolo… - … IEEE Symposium on …, 2022 - ieeexplore.ieee.org
This paper systematizes and contextualizes the existing body of knowledge on on
technology's dual nature regarding sexual abuse: facilitator of it and assistant to its …

Enhancing user awareness on inferences obtained from fitness trackers data

A Dini Kounoudes, GM Kapitsaki, I Katakis - User Modeling and User …, 2023 - Springer
In the IoT era, sensitive and non-sensitive data are recorded and transmitted to multiple
service providers and IoT platforms, aiming to improve the quality of our lives through the …

Cricket players selection for national team and franchise league using machine learning algorithms

M Robel, MAR Khan, I Ahammad… - Cloud Computing and …, 2024 - ojs.wiserpub.com
Cricket player selection is a crucial task for both national teams and franchise leagues.
Traditionally, selectors rely on their experience and knowledge to evaluate a player's …

Heart Rate-Based Identification of Users of IoT Wearables: A Supervised Learning Approach

SAJ Desa, B Suleiman, W Yaqub - International Conference on …, 2023 - Springer
Biometric identification from heart rate sequences provides a simple yet effective
mechanism, that can neither be reverse engineered nor replicated, to protect user privacy …

Employing Machine Learning Techniques to Categorize users in a Fitness Application

S Das, P Chaudhury, HK Tripathy - … International Conference on …, 2022 - ieeexplore.ieee.org
Nowadays, health is a top priority. People are putting in a lot of effort to improve their health
and make their bodies healthier. The majority of people use fitness apps to track their daily …

Machine Learning and Deep Learning Approaches in Cyber-Physical Systems

S Lakshmiranganatha… - Secure and Smart Cyber …, 2024 - books.google.com
Cyber-Physical System (CPSs) consist of physical systems interconnected with multiple
software algorithms to form an intelligent system. With the evolution of the Internet, there has …

[PDF][PDF] Multiple linear regression-based physical fitness prediction models for Turkish secondary school students

MF Akay, O Bozkurt, E Cetin, I Yarim - New Trends and Issues …, 2018 - academia.edu
Physical fitness is a necessary component for daily activities. Measurement of physical
activity is essential for determining physical fitness rate. This study aims to develop new …