[HTML][HTML] How do context-aware artificial intelligence algorithms used in fitness recommender systems? A literature review and research agenda

P Venkatachalam, S Ray - International Journal of Information Management …, 2022 - Elsevier
Recommender Systems (RS) help the user in the decision-making process when there is a
problem of plenty or lack of information. The context-aware recommender systems (CARS) …

BVFLEMR: an integrated federated learning and blockchain technology for cloud-based medical records recommendation system

T Hai, J Zhou, SR Srividhya, SK Jain, P Young… - Journal of Cloud …, 2022 - Springer
Blockchain is the latest boon in the world which handles mainly banking and finance. The
blockchain is also used in the healthcare management system for effective maintenance of …

IAMHAPPY: Towards an IoT knowledge-based cross-domain well-being recommendation system for everyday happiness

A Gyrard, A Sheth - Smart Health, 2020 - Elsevier
Nowadays, healthy lifestyle, fitness, and diet habits have become central applications in our
daily life. Positive psychology such as well-being and happiness is the ultimate dream of …

Interdisciplinary iot and emotion knowledge graph-based recommendation system to boost mental health

A Gyrard, K Boudaoud - Applied Sciences, 2022 - mdpi.com
Humans are feeling emotions every day, but they can still encounter difficulties
understanding them. To better understand emotions, we integrated interdisciplinary …

A smart recommender based on hybrid learning methods for personal well-being services

RM Nouh, HH Lee, WJ Lee, JD Lee - Sensors, 2019 - mdpi.com
The main focus of the paper is to propose a smart recommender system based on the
methods of hybrid learning for personal well-being services, called a smart recommender …

Z-set based approach to control system design

RA Aliev, LA Gardashova - … Conference on Theory and Applications of …, 2020 - Springer
In real life problems If-Then rules antecedent and consequent parts are characterized with
the bimodal information. The bimodal information covers probabilistic and fuzzy uncertainty …

Early diagnosis of gastrointestinal cancer by using case-based and rule-based reasoning

R Saraiva, M Perkusich, L Silva, H Almeida… - Expert Systems with …, 2016 - Elsevier
In this paper, we present a medical diagnosis decision support model for gastrointestinal
cancer. It should be used by general practitioners whenever there is a suspicion that a …

Knowledge engineering framework for IoT robotics applied to smart healthcare and emotional well-being

A Gyrard, K Tabeau, L Fiorini, A Kung… - International Journal of …, 2023 - Springer
Social companion robots are getting more attention to assist elderly people to stay
independent at home and to decrease their social isolation. When developing solutions, one …

Therapy decision support based on recommender system methods

F Gräßer, S Beckert, D Küster, J Schmitt… - Journal of healthcare …, 2017 - Wiley Online Library
We present a system for data‐driven therapy decision support based on techniques from the
field of recommender systems. Two methods for therapy recommendation, namely …

Physical activity recommendation system based on deep learning to prevent respiratory diseases

U Bhimavarapu, M Sreedevi, N Chintalapudi… - Computers, 2022 - mdpi.com
The immune system can be compromised when humans inhale excessive cooling. Physical
activity helps a person's immune system, and influenza seasonally affects immunity and …