A review of biowaste remediation and valorization for environmental sustainability: Artificial intelligence approach
Biowaste remediation and valorization for environmental sustainability focuses on
prevention rather than cleanup of waste generation by applying the fundamental recovery …
prevention rather than cleanup of waste generation by applying the fundamental recovery …
Artificial intelligence in the advanced diagnosis of bladder cancer-comprehensive literature review and future advancement
Artificial intelligence is highly regarded as the most promising future technology that will
have a great impact on healthcare across all specialties. Its subsets, machine learning, deep …
have a great impact on healthcare across all specialties. Its subsets, machine learning, deep …
Ensemble machine learning framework for predicting maternal health risk during pregnancy
Maternal health risks can cause a range of complications for women during pregnancy. High
blood pressure, abnormal glucose levels, depression, anxiety, and other maternal health …
blood pressure, abnormal glucose levels, depression, anxiety, and other maternal health …
Robustness in deep learning models for medical diagnostics: security and adversarial challenges towards robust AI applications
The current study investigates the robustness of deep learning models for accurate medical
diagnosis systems with a specific focus on their ability to maintain performance in the …
diagnosis systems with a specific focus on their ability to maintain performance in the …
Novel transfer learning based deep features for diagnosis of down syndrome in children using facial images
Down syndrome is a chromosomal condition characterized by the existence of an additional
copy of chromosome 21. This genetic anomaly leads to a range of developmental …
copy of chromosome 21. This genetic anomaly leads to a range of developmental …
Improving coronary heart disease prediction through machine learning and an innovative data augmentation technique
AM Al-Ssulami, RS Alsorori, AM Azmi… - Cognitive Computation, 2023 - Springer
Coronary heart disease (CHD) is a leading cause of death globally, with over 382,000
deaths in the USA alone in 2020. The early detection of CHD is critical in reducing mortality …
deaths in the USA alone in 2020. The early detection of CHD is critical in reducing mortality …
An Automatic Dermatology Detection System Based on Deep Learning and Computer Vision
Automatic medical diagnosis has gained significant attention among researchers,
particularly in disease diagnosis. Differentiating between dermatology diseases is pivotal in …
particularly in disease diagnosis. Differentiating between dermatology diseases is pivotal in …
ERLNEIL-MDP: Evolutionary reinforcement learning with novelty-driven exploration for medical data processing
The rapid growth of medical data presents opportunities and challenges for healthcare
professionals and researchers. To effectively process and analyze this complex and …
professionals and researchers. To effectively process and analyze this complex and …
COVID-19's Influence on Karachi Stock Exchange: A Comparative Machine Learning Algorithms Study for Forecasting
T Munir, RE Al Mamlook, AR Rahman, A Alrashidi… - Heliyon, 2024 - cell.com
The COVID-19 pandemic has great effects for economies international. This study studies
the interconnection between COVID-19 metrics and Pakistan's premier stock exchange, the …
the interconnection between COVID-19 metrics and Pakistan's premier stock exchange, the …
AI Doctors in Healthcare: A Comparative Journey through Diagnosis, Treatment, Care, Drug Development, and Health Analysis
G Kaur, H Singh, S Mehta - 2024 Sixth International …, 2024 - ieeexplore.ieee.org
The integration of Artificial Intelligence (AI) in healthcare represents a transformative shift,
offering unprecedented opportunities to revolutionize diagnostics, treatment, and patient …
offering unprecedented opportunities to revolutionize diagnostics, treatment, and patient …