A survey on extremism analysis using natural language processing: definitions, literature review, trends and challenges
J Torregrosa, G Bello-Orgaz… - Journal of Ambient …, 2023 - Springer
Extremism has grown as a global problem for society in recent years, especially after the
apparition of movements such as jihadism. This and other extremist groups have taken …
apparition of movements such as jihadism. This and other extremist groups have taken …
Diagnosis of breast cancer based on modern mammography using hybrid transfer learning
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 …
[HTML][HTML] A smart ontology-based IoT framework for remote patient monitoring
Abstract The Internet of Things (IoT) is the most promising technology in health technology
systems. IoT-based systems ensure continuous monitoring in indoor and outdoor settings …
systems. IoT-based systems ensure continuous monitoring in indoor and outdoor settings …
[HTML][HTML] A sustainable IoHT based computationally intelligent healthcare monitoring system for lung cancer risk detection
A sustainable healthcare focuses on enhancing and restoring public health parameters
thereby reducing gloomy impacts on social, economic and environmental elements of a …
thereby reducing gloomy impacts on social, economic and environmental elements of a …
An edge AI-enabled IoT healthcare monitoring system for smart cities
Healthcare systems have significantly benefited from Artificial Intelligence (AI) and the
Internet of Things (IoT). The vital signs of patients can be continuously monitored using the …
Internet of Things (IoT). The vital signs of patients can be continuously monitored using the …
Breast cancer detection using an ensemble deep learning method
In this work, the effectiveness of the deep learning model is applied for one-dimensional
data when converted to images. This work is based on the effective conversion of one …
data when converted to images. This work is based on the effective conversion of one …
Res-CovNet: an internet of medical health things driven COVID-19 framework using transfer learning
Major countries are globally facing difficult situations due to this pandemic disease, COVID-
19. There are high chances of getting false positives and false negatives identifying the …
19. There are high chances of getting false positives and false negatives identifying the …
Meet ML. NET
S Mukherjee, S Mukherjee - ML. NET Revealed: Simple Tools for Applying …, 2021 - Springer
Abstract Machine learning is nothing but a means of enabling the computer to have a
sophisticated sense of proximity between several things. Let me elaborate that point for you …
sophisticated sense of proximity between several things. Let me elaborate that point for you …
Deep learning and evolutionary intelligence with fusion-based feature extraction for detection of COVID-19 from chest X-ray images
In recent times, COVID-19 infection gets increased exponentially with the existence of a
restricted number of rapid testing kits. Several studies have reported the COVID-19 …
restricted number of rapid testing kits. Several studies have reported the COVID-19 …
An optimal cascaded recurrent neural network for intelligent COVID-19 detection using Chest X-ray images
Abstract In recent times, COVID-19, has a great impact on the healthcare sector and results
in a wide range of respiratory illnesses. It is a type of Ribonucleic acid (RNA) virus, which …
in a wide range of respiratory illnesses. It is a type of Ribonucleic acid (RNA) virus, which …