Deepfake generation and detection: Case study and challenges
In smart communities, social media allowed users easy access to multimedia content. With
recent advancements in computer vision and natural language processing, machine …
recent advancements in computer vision and natural language processing, machine …
An architecture-level analysis on deep learning models for low-impact computations
Deep neural networks (DNNs) have made significant achievements in a wide variety of
domains. For the deep learning tasks, multiple excellent hardware platforms provide efficient …
domains. For the deep learning tasks, multiple excellent hardware platforms provide efficient …
Digital technology implementation and impact of artificial intelligence based on bipolar complex fuzzy Schweizer–Sklar power aggregation operators
T Mahmood, U ur Rehman - Applied Soft Computing, 2023 - Elsevier
Digital technology refers to any technology that uses digital signals or electronic data to
process, store, and transmit information. Some examples of digital technologies include …
process, store, and transmit information. Some examples of digital technologies include …
[HTML][HTML] Proposing a hybrid technique of feature fusion and convolutional neural network for melanoma skin cancer detection
Skin cancer is among the most common cancer types worldwide. Automatic identification of
skin cancer is complicated because of the poor contrast and apparent resemblance between …
skin cancer is complicated because of the poor contrast and apparent resemblance between …
Quantum machine learning‐based framework to detect heart failures in Healthcare 4.0
Quantum machine learning (QML) is an emerging field that combines the power of quantum
computing with machine learning (ML) techniques to solve complex problems. In recent …
computing with machine learning (ML) techniques to solve complex problems. In recent …
Hybrid feature fusion and machine learning approaches for melanoma skin cancer detection
Skin cancer is an exquisite disease globally nowadays. Because of the poor contrast and
apparent resemblance between skin and lesions, automatic identification of skin cancer is …
apparent resemblance between skin and lesions, automatic identification of skin cancer is …
Machine Learning Innovations in CPR: A Comprehensive Survey on Enhanced Resuscitation Techniques
This survey paper explores the transformative role of Machine Learning (ML) and Artificial
Intelligence (AI) in Cardiopulmonary Resuscitation (CPR). It examines the evolution from …
Intelligence (AI) in Cardiopulmonary Resuscitation (CPR). It examines the evolution from …
Data-driven heart disease prediction by ensemble feature selection and machine learning techniques
MR Islam, MD Hoda, MA Rashid… - … on Computer and …, 2022 - ieeexplore.ieee.org
Heart disease is one of the most fatal chronic diseases which involves physicians evaluating
a variety of clinical and metabolic patient symptoms for life-saving decisions. An intelligent …
a variety of clinical and metabolic patient symptoms for life-saving decisions. An intelligent …
Deep learning-based Parkinson disease classification using PET scan imaging data
H Modi, J Hathaliya, MS Obaidiat… - 2021 IEEE 6th …, 2021 - ieeexplore.ieee.org
Parkinson's disease (PSD) is a neurodegenerative disease responsible for damaging the
nerve cells inside the human brain. It is classically associated with a loss of dopaminergic …
nerve cells inside the human brain. It is classically associated with a loss of dopaminergic …
[HTML][HTML] Quantification of construction and demolition waste disposal behaviors during COVID-19 using satellite imagery
The COVID-19 pandemic disrupted conventional municipal solid waste (MSW) management
practices and affected waste generation rates. While MSW streams have been extensively …
practices and affected waste generation rates. While MSW streams have been extensively …