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 …

Applications and techniques of machine learning in cancer classification: a systematic review

A Yaqoob, R Musheer Aziz, NK Verma - Human-centric intelligent systems, 2023 - Springer
The domain of Machine learning has experienced Substantial advancement and
development. Recently, showcasing a Broad spectrum of uses like Computational …

Optimizing gene selection and cancer classification with hybrid sine cosine and cuckoo search algorithm

A Yaqoob, NK Verma, RM Aziz - Journal of medical systems, 2024 - Springer
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 …

[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 …

Novel cuckoo search-based metaheuristic approach for deep learning prediction of depression

K Jawad, R Mahto, A Das, SU Ahmed, RM Aziz… - Applied Sciences, 2023 - mdpi.com
Depression is a common illness worldwide with doubtless severe implications. Due to the
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 …

Automatic fruits freshness classification using CNN and transfer learning

U Amin, MI Shahzad, A Shahzad, M Shahzad, U Khan… - Applied Sciences, 2023 - mdpi.com
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 …

Surface-Enhanced Raman Scattering-Based Multimodal Techniques: Advances and Perspectives

EX Tan, QZ Zhong, JR Ting Chen, YX Leong… - ACS …, 2024 - ACS Publications
Surface-enhanced Raman scattering (SERS) spectroscopy is a versatile molecular
fingerprinting technique with rapid signal readout, high aqueous compatibility, and …

Optimizing cancer classification: a hybrid RDO-XGBoost approach for feature selection and predictive insights

A Yaqoob, NK Verma, RM Aziz, MA Shah - Cancer Immunology …, 2024 - Springer
The identification of relevant biomarkers from high-dimensional cancer data remains a
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

P Garg, A Mohanty, S Ramisetty, P Kulkarni… - … et Biophysica Acta (BBA …, 2023 - Elsevier
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 …