[HTML][HTML] Artificial intelligence and visual analytics in geographical space and cyberspace: Research opportunities and challenges

M Chen, C Claramunt, A Çöltekin, X Liu, P Peng… - Earth-Science …, 2023 - Elsevier
In recent decades, we have witnessed great advances on the Internet of Things, mobile
devices, sensor-based systems, and resulting big data infrastructures, which have gradually …

Genetic Programming‐Based Feature Selection for Emotion Classification Using EEG Signal

A Sakalle, P Tomar, H Bhardwaj, A Iqbal… - Journal of …, 2022 - Wiley Online Library
The COVID‐19 has resulted in one of the world's most significant worldwide lock‐downs,
affecting human mental health. Therefore, emotion recognition is becoming one of the …

Multiple-criteria decision making, feature selection, and deep learning: A golden triangle for heart disease identification

A Najafi, A Nemati, M Ashrafzadeh… - Engineering Applications of …, 2023 - Elsevier
Cardiovascular diseases (CVD) are among the deadliest illnesses that suffer many people
worldwide. Nevertheless, an on-time diagnosis of heart disease can play a significant role in …

Analysis of dimensionality reduction techniques on Internet of Things data using machine learning

L Rashid, S Rubab, M Alhaisoni, A Alqahtani… - Sustainable Energy …, 2022 - Elsevier
Abstract Internet of Things (IoT), being a global infrastructure, aims to improve the quality of
our lives. The potential applicability of IoT to almost every field of life, gives rise to an …

Leveraging Big Data Intelligence for Electronic Health Data Collection and Mining in Smart Innovative Cities: Approaches and Applications

SM Zanjani, SM Zanjani, H Shahinzadeh… - 2023 7th Iranian …, 2023 - ieeexplore.ieee.org
In recent years, the Internet of Things (IoT) and the development of smart cities have brought
about significant advancements in various fields, including medicine. The integration of IoT …

Machine learning-based D2D communication for a cloud-secure e-health system and data analysis by feature selection with classification

A Awasthi, R Suchithra, A Chakravarty, J Shah… - Soft Computing, 2023 - Springer
Numerous aspects of healthcare have been altered by cloud-based computing. Scalability of
required service as well as ability to upscale or downsize data storage, as well as the …

Fog Computing‐Enabled Cancer Cell Detection System Using Convolution Neural Network in Internet of Medical Things

S Santra, D Majumdar, S Mandal - Fog Computing for …, 2024 - Wiley Online Library
Computer‐enabled smart home management systems are very flexible in nature and easy to
use as hand‐held devices. This type of feature selection device is currently used in health …

Impact of Big Data in Health Care on Patient Outcomes: An Integrative Review.

RA Narvaez - Journal of Informatics Nursing, 2023 - search.ebscohost.com
Impact of Big Data in Health Care on Patient Outcomes: An Integrative Review Page 1 Journal
of Informatics Nursing – www.ania.org • 2023 • Volume 8, Number 1 31 Impact of Big Data in …

Evaluación de herramientas de análisis de datos espectrales para la identificación y cuantificación de la madurez temprana en papa

WA Leon Rueda - repositorio.unal.edu.co
El cultivo de papa es afectado por diferentes enfermedades que disminuyen su rendimiento,
entre ellas, los problemas asociados a madurez temprana (MT) causada por Verticillium …

[PDF][PDF] Research Article Genetic Programming-Based Feature Selection for Emotion Classification Using EEG Signal

A Sakalle, P Tomar, H Bhardwaj, A Iqbal, M Sakalle… - 2022 - academia.edu
Research Article Genetic Programming-Based Feature Selection for Emotion Classification
Using EEG Signal Page 1 Research Article Genetic Programming-Based Feature Selection for …