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Re-thinking data strategy and integration for artificial intelligence: concepts, opportunities, and challenges
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 …
Optimizing gene selection and cancer classification with hybrid sine cosine and cuckoo search algorithm
Gene expression datasets offer a wide range of information about various biological
processes. However, it is difficult to find the important genes among the high-dimensional …
processes. However, it is difficult to find the important genes among the high-dimensional …
[HTML][HTML] 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 …
Novel cuckoo search-based metaheuristic approach for deep learning prediction of depression
Depression is a common illness worldwide with doubtless severe implications. Due to the
absence of early identification and treatment for depression, millions of individuals …
absence of early identification and treatment for depression, millions of individuals …
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 …
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 …
Surface-Enhanced Raman Scattering-Based Multimodal Techniques: Advances and Perspectives
Surface-enhanced Raman scattering (SERS) spectroscopy is a versatile molecular
fingerprinting technique with rapid signal readout, high aqueous compatibility, and …
fingerprinting technique with rapid signal readout, high aqueous compatibility, and …
Optimizing cancer classification: a hybrid RDO-XGBoost approach for feature selection and predictive insights
The identification of relevant biomarkers from high-dimensional cancer data remains a
significant challenge due to the complexity and heterogeneity inherent in various cancer …
significant challenge due to the complexity and heterogeneity inherent in various cancer …
Artificial intelligence and allied subsets in early detection and preclusion of gynecological cancers
Gynecological cancers including breast, cervical, ovarian, uterine, and vaginal, pose the
greatest threat to world health, with early identification being crucial to patient outcomes and …
greatest threat to world health, with early identification being crucial to patient outcomes and …