Amalgamation of blockchain and IoT for smart cities underlying 6G communication: A comprehensive review
Nowadays, increasing urbanization has necessitated the social, environmental, and
economic development of cities to enhance the Quality of Life (QoL) significantly and …
economic development of cities to enhance the Quality of Life (QoL) significantly and …
Machine intelligence and medical cyber-physical system architectures for smart healthcare: Taxonomy, challenges, opportunities, and possible solutions
Hospitals use medical cyber-physical systems (MCPS) more often to give patients quality
continuous care. MCPS isa life-critical, context-aware, networked system of medical …
continuous care. MCPS isa life-critical, context-aware, networked system of medical …
[HTML][HTML] A deep learning architecture for multi-class lung diseases classification using chest X-ray (CXR) images
In 2019, the world experienced the rapid outbreak of the Covid-19 pandemic creating an
alarming situation worldwide. The virus targets the respiratory system causing pneumonia …
alarming situation worldwide. The virus targets the respiratory system causing pneumonia …
An integration of blockchain and AI for secure data sharing and detection of CT images for the hospitals
Deep learning, for image data processing, has been widely used to solve a variety of
problems related to medical practices. However, researchers are constantly struggling to …
problems related to medical practices. However, researchers are constantly struggling to …
[HTML][HTML] A hybrid algorithm for lung cancer classification using SVM and Neural Networks
P Nanglia, S Kumar, AN Mahajan, P Singh, D Rathee - ICT Express, 2021 - Elsevier
The present research article focused on the factual findings of the potential usage of the
combinational Feed-Forward Back Propagation Neural Network as a judgment making for …
combinational Feed-Forward Back Propagation Neural Network as a judgment making for …
A taxonomy of AI techniques for 6G communication networks
With 6G flagship program launched by the University of Oulu, Finland, for full future
adaptation of 6G by 2030, many institutes worldwide have started to explore various issues …
adaptation of 6G by 2030, many institutes worldwide have started to explore various issues …
Medical Internet of things using machine learning algorithms for lung cancer detection
This paper empirically evaluates the several machine learning algorithms adaptable for lung
cancer detection linked with IoT devices. In this work, a review of nearly 65 papers for …
cancer detection linked with IoT devices. In this work, a review of nearly 65 papers for …
Diagnosis of breast cancer based on modern mammography using hybrid transfer learning
A Khamparia, S Bharati, P Podder, D Gupta… - … systems and signal …, 2021 - Springer
Breast cancer is a common cancer in women. Early detection of breast cancer in particular
and cancer, in general, can considerably increase the survival rate of women, and it can be …
and cancer, in general, can considerably increase the survival rate of women, and it can be …
Bankruptcy prediction using the XGBoost algorithm and variable importance feature engineering
S Ben Jabeur, N Stef, P Carmona - Computational Economics, 2023 - Springer
The emergence of big data, information technology, and social media provides an enormous
amount of information about firms' current financial health. When facing this abundance of …
amount of information about firms' current financial health. When facing this abundance of …
A transfer learning approach with a convolutional neural network for the classification of lung carcinoma
M Humayun, R Sujatha, SN Almuayqil, NZ Jhanjhi - Healthcare, 2022 - mdpi.com
Lung cancer is among the most hazardous types of cancer in humans. The correct diagnosis
of pathogenic lung disease is critical for medication. Traditionally, determining the …
of pathogenic lung disease is critical for medication. Traditionally, determining the …