Facial emotion recognition using conventional machine learning and deep learning methods: current achievements, analysis and remaining challenges
AR Khan - Information, 2022 - mdpi.com
Facial emotion recognition (FER) is an emerging and significant research area in the pattern
recognition domain. In daily life, the role of non-verbal communication is significant, and in …
recognition domain. In daily life, the role of non-verbal communication is significant, and in …
Deep learning for intrusion detection and security of Internet of things (IoT): current analysis, challenges, and possible solutions
In the last decade, huge growth is recorded globally in computer networks and Internet of
Things (IoT) networks due to the exponential data generation, approximately zettabyte to a …
Things (IoT) networks due to the exponential data generation, approximately zettabyte to a …
Tumor localization and classification from MRI of brain using deep convolution neural network and Salp swarm algorithm
Early diagnosis of brain tumors is crucial for treatment planning and increasing the survival
rates of infected patients. In fact, brain tumors exist in a range of different forms, sizes, and …
rates of infected patients. In fact, brain tumors exist in a range of different forms, sizes, and …
An explainable AI-enabled framework for interpreting pulmonary diseases from chest radiographs
Simple Summary Different chest diseases badly affect the human respiration system. The
chest radiographs of the lungs are used to classify these diseases. Identifying diseases is …
chest radiographs of the lungs are used to classify these diseases. Identifying diseases is …
A CNN‐Based Chest Infection Diagnostic Model: A Multistage Multiclass Isolated and Developed Transfer Learning Framework
In 2019, a deadly coronaviral infection (COVID‐19) that infected millions of people globally
was detected in China. This fatal virus affects the respiratory system and currently spreads to …
was detected in China. This fatal virus affects the respiratory system and currently spreads to …
Screening lung diseases using cascaded feature generation and selection strategies
The global pandemic COVID-19 is still a cause of a health emergency in several parts of the
world. Apart from standard testing techniques to identify positive cases, auxiliary tools based …
world. Apart from standard testing techniques to identify positive cases, auxiliary tools based …
Map** roofing with asbestos-containing material by using remote sensing imagery and machine learning-based image classification: A state-of-the-art review
Building roofing produced with asbestos-containing materials is a significant concern due to
its detrimental health hazard implications. Efficiently locating asbestos roofing is essential to …
its detrimental health hazard implications. Efficiently locating asbestos roofing is essential to …
A hybridized machine learning approach for predicting COVID-19 using adaptive neuro-fuzzy inference system and reptile search algorithm
T Jithendra, S Sharief Basha - Diagnostics, 2023 - mdpi.com
This research is aimed to escalate Adaptive Neuro-Fuzzy Inference System (ANFIS)
functioning in order to ensure the veracity of existing time-series modeling. The COVID-19 …
functioning in order to ensure the veracity of existing time-series modeling. The COVID-19 …
Cloud Computing‐Based Framework for Breast Tumor Image Classification Using Fusion of AlexNet and GLCM Texture Features with Ensemble Multi‐Kernel Support …
Breast cancer is common among women all over the world. Early identification of breast
cancer lowers death rates. However, it is difficult to determine whether these are cancerous …
cancer lowers death rates. However, it is difficult to determine whether these are cancerous …
Virtual reality for assessing stereopsis performance and eye characteristics in Post-COVID
In 2019, we faced a pandemic due to the coronavirus disease (COVID-19), with millions of
confirmed cases and reported deaths. Even in recovered patients, symptoms can be …
confirmed cases and reported deaths. Even in recovered patients, symptoms can be …