Healthcare Internet of Things (H-IoT): Current trends, future prospects, applications, challenges, and security issues
Advancements in Healthcare Internet of Things (H-IoT) systems have created new
opportunities and solutions for healthcare services, including the remote treatment and …
opportunities and solutions for healthcare services, including the remote treatment and …
[HTML][HTML] Deep learning for microscopic examination of protozoan parasites
The infectious and parasitic diseases represent a major threat to public health and are
among the main causes of morbidity and mortality. The complex and divergent life cycles of …
among the main causes of morbidity and mortality. The complex and divergent life cycles of …
Fake news stance detection using deep learning architecture (CNN-LSTM)
Society and individuals are negatively influenced both politically and socially by the
widespread increase of fake news either way generated by humans or machines. In the era …
widespread increase of fake news either way generated by humans or machines. In the era …
An efficient CNN model for COVID‐19 disease detection based on x‐ray image classification
Artificial intelligence (AI) techniques in general and convolutional neural networks (CNNs) in
particular have attained successful results in medical image analysis and classification. A …
particular have attained successful results in medical image analysis and classification. A …
Discrepancy detection between actual user reviews and numeric ratings of Google App store using deep learning
Nowadays online reviews play a significant role in influencing the decision of consumers.
Consumers show their experience and information about product quality in their reviews …
Consumers show their experience and information about product quality in their reviews …
Emotion recognition by textual tweets classification using voting classifier (LR-SGD)
The proliferation of user-generated content on social media has made opinion mining an
arduous job. As a microblogging platform, Twitter is being used to collect views about …
arduous job. As a microblogging platform, Twitter is being used to collect views about …
Predicting household electric power consumption using multi-step time series with convolutional LSTM
Energy consumption prediction has become an integral part of a smart and sustainable
environment. With future demand forecasts, energy production and distribution can be …
environment. With future demand forecasts, energy production and distribution can be …
Impact of convolutional neural network and FastText embedding on text classification
Efficient word representation techniques (word embeddings) with modern machine learning
models have shown reasonable improvement on automatic text classification tasks …
models have shown reasonable improvement on automatic text classification tasks …
COVINet: a convolutional neural network approach for predicting COVID-19 from chest X-ray images
COVID-19 pandemic is widely spreading over the entire world and has established
significant community spread. Fostering a prediction system can help prepare the officials to …
significant community spread. Fostering a prediction system can help prepare the officials to …
COVID-19: Automatic detection of the novel coronavirus disease from CT images using an optimized convolutional neural network
It is widely known that a quick disclosure of the COVID-19 can help to reduce its spread
dramatically. Transcriptase polymerase chain reaction could be a more useful, rapid, and …
dramatically. Transcriptase polymerase chain reaction could be a more useful, rapid, and …