Re-thinking data strategy and integration for artificial intelligence: concepts, opportunities, and challenges
A Aldoseri, KN Al-Khalifa, AM Hamouda - Applied Sciences, 2023 - mdpi.com
The use of artificial intelligence (AI) is becoming more prevalent across industries such as
healthcare, finance, and transportation. Artificial intelligence is based on the analysis of …
healthcare, finance, and transportation. Artificial intelligence is based on the analysis of …
Applications and techniques of machine learning in cancer classification: A systematic review
The domain of Machine learning has experienced Substantial advancement and
development. Recently, showcasing a Broad spectrum of uses like Computational …
development. Recently, showcasing a Broad spectrum of uses like Computational …
Gene selection with Game Shapley Harris hawks optimizer for cancer classification
S Afreen, AK Bhurjee, RM Aziz - Chemometrics and Intelligent Laboratory …, 2023 - Elsevier
Cancer disease has been classified as a perilous disease for humans, being the second
leading cause of death globally. Even advanced-stage diagnosis may not be effective in …
leading cause of death globally. Even advanced-stage diagnosis may not be effective in …
Deep learning approach to recyclable products classification: Towards sustainable waste management
MIB Ahmed, RB Alotaibi, RA Al-Qahtani, RS Al-Qahtani… - Sustainability, 2023 - mdpi.com
Effective waste management and recycling are essential for sustainable development and
environmental conservation. It is a global issue around the globe and emerging in Saudi …
environmental conservation. It is a global issue around the globe and emerging in Saudi …
A novel and innovative cancer classification framework through a consecutive utilization of hybrid feature selection
Cancer prediction in the early stage is a topic of major interest in medicine since it allows
accurate and efficient actions for successful medical treatments of cancer. Mostly cancer …
accurate and efficient actions for successful medical treatments of cancer. Mostly cancer …
Deep learning approach for brain tumor classification using metaheuristic optimization with gene expression data
AA Joshi, RM Aziz - International Journal of Imaging Systems …, 2024 - Wiley Online Library
This study addresses the critical challenge of accurately classifying brain tumors using
artificial intelligence. Early detection is crucial, as untreated tumors can be fatal. Despite …
artificial intelligence. Early detection is crucial, as untreated tumors can be fatal. Despite …
CO‐WOA: novel optimization approach for deep learning classification of fish image
The most significant groupings of cold‐blooded creatures are the fish family. It is crucial to
recognize and categorize the most significant species of fish since various species of …
recognize and categorize the most significant species of fish since various species of …
Automatic fruits freshness classification using CNN and transfer learning
Fruit Freshness categorization is crucial in the agriculture industry. A system, which precisely
assess the fruits' freshness, is required to save labor costs related to tossing out rotten fruits …
assess the fruits' freshness, is required to save labor costs related to tossing out rotten fruits …
A two-phase cuckoo search based approach for gene selection and deep learning classification of cancer disease using gene expression data with a novel fitness …
AA Joshi, RM Aziz - Multimedia Tools and Applications, 2024 - Springer
The early detection of cancer is of paramount importance in the medical field, as it can lead
to more precise and effective interventions for successful cancer treatments. Cancer …
to more precise and effective interventions for successful cancer treatments. Cancer …
Unravelling the complexities of depression with medical intelligence: exploring the interplay of genetics, hormones, and brain function
Depression is a multifactorial disease with unknown etiology affecting globally. It's the
second most significant reason for infirmity in 2020, affecting about 50 million people …
second most significant reason for infirmity in 2020, affecting about 50 million people …