Heuristic recommendation technique in Internet of Things featuring swarm intelligence approach
A Forestiero - Expert Systems with Applications, 2022 - Elsevier
In smart environments, traditional information management approaches are often unsuitable
to tackle with the needed elaborations due to the amount and the high dynamicity of entities …
to tackle with the needed elaborations due to the amount and the high dynamicity of entities …
[PDF][PDF] Prediction of heart disease using feature selection and random forest ensemble method
DC Yadav, S Pal - International Journal of Pharmaceutical …, 2020 - researchgate.net
The heart is very soft and sensitive part of body by which brain handles blood related system
in body. The heart disease that greatly affects in body as like: pulmonary artery, atalata …
in body. The heart disease that greatly affects in body as like: pulmonary artery, atalata …
[HTML][HTML] AGRO: A smart sensing and decision-making mechanism for real-time agriculture monitoring
Nowadays, the agriculture constitutes one of the leading sources of foods and it contributes
to the national income and livelihood of most countries. However, in the last two decades …
to the national income and livelihood of most countries. However, in the last two decades …
A content-based recommendation approach based on singular value decomposition
In the Internet era, where information and communication technologies (ICT) allow data
exchange, new tools able to select the correct data are needed. In this field, Recommender …
exchange, new tools able to select the correct data are needed. In this field, Recommender …
Sub-clustering based recommendation system for stroke patient: Identification of a specific drug class for a given patient
RFT Ceskoutsé, AB Bomgni, DRG Zanfack… - Computers in Biology …, 2024 - Elsevier
Stroke is one of the leading causes of death worldwide. Previous studies have explored
machine learning techniques for early detection of stroke patients using content-based …
machine learning techniques for early detection of stroke patients using content-based …
Performance evaluation of time-based recommendation system in collaborative filtering technique
Abstract The Collaborative Filtering (CF) technique is the most common neighbourhood-
based recommendation strategy, that provides personalized recommendation to a user for …
based recommendation strategy, that provides personalized recommendation to a user for …
A hotel recommender system based on multi-criteria collaborative filtering
QY Shambour, AA Abu-Shareha… - … Technology and Control, 2022 - itc.ktu.lt
Recommendation systems have lately gained popularity in a variety of applications due to
their ability to operate as information filters, thus delivering useful suggestions to users …
their ability to operate as information filters, thus delivering useful suggestions to users …
Cold start similar artists ranking with gravity-inspired graph autoencoders
G Salha-Galvan, R Hennequin, B Chapus… - Proceedings of the 15th …, 2021 - dl.acm.org
On an artist's profile page, music streaming services frequently recommend a ranked list of”
similar artists” that fans also liked. However, implementing such a feature is challenging for …
similar artists” that fans also liked. However, implementing such a feature is challenging for …
TREE: trust-based authenticated and secure dissemination of emergency event information for the network of connected vehicles
The Vehicular communication network (VCN) becomes vulnerable to many kinds of security
threats due to wireless communication and the unavailability of fixed infrastructure for …
threats due to wireless communication and the unavailability of fixed infrastructure for …
[PDF][PDF] Cheating detection in online exams during COVID-19 pandemic using data mining techniques
Face-to-face learning has been replaced by E-learning due to the closing of academic
institutions in the world during the covid-19 pandemic. Educational institutions faced many …
institutions in the world during the covid-19 pandemic. Educational institutions faced many …