Breast cancer detection using artificial intelligence techniques: A systematic literature review

AB Nassif, MA Talib, Q Nasir, Y Afadar… - Artificial intelligence in …, 2022 - Elsevier
Cancer is one of the most dangerous diseases to humans, and yet no permanent cure has
been developed for it. Breast cancer is one of the most common cancer types. According to …

Deep learning based methods for breast cancer diagnosis: a systematic review and future direction

M Nasser, UK Yusof - Diagnostics, 2023 - mdpi.com
Breast cancer is one of the precarious conditions that affect women, and a substantive cure
has not yet been discovered for it. With the advent of Artificial intelligence (AI), recently, deep …

An enhanced Predictive heterogeneous ensemble model for breast cancer prediction

S Nanglia, M Ahmad, FA Khan, NZ Jhanjhi - Biomedical Signal Processing …, 2022 - Elsevier
Breast Cancer is one of the most prevalent tumors after lung cancer and is common in both
women and men. This disease is mostly asymptomatic in the early stages thus detection is …

[HTML][HTML] Ai in thyroid cancer diagnosis: Techniques, trends, and future directions

Y Habchi, Y Himeur, H Kheddar, A Boukabou, S Atalla… - Systems, 2023 - mdpi.com
Artificial intelligence (AI) has significantly impacted thyroid cancer diagnosis in recent years,
offering advanced tools and methodologies that promise to revolutionize patient outcomes …

Short text clustering algorithms, application and challenges: A survey

MH Ahmed, S Tiun, N Omar, NS Sani - Applied Sciences, 2022 - mdpi.com
The number of online documents has rapidly grown, and with the expansion of the Web,
document analysis, or text analysis, has become an essential task for preparing, storing …

An ensemble algorithm using quantum evolutionary optimization of weighted type-II fuzzy system and staged Pegasos Quantum Support Vector Classifier with multi …

S Chatterjee, A Das - Soft Computing, 2023 - Springer
Breast cancer is a life-threatening and consequential disease due to its invasive and
proliferative trait, predominantly found in women. Early detection of the cancer is a …

A Clustering-Based optimization method for the driving cycle construction: A case study in fuzhou and Putian, China

H Qiu, S Cui, S Wang, Y Wang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Driving cycle is a crucial topic for the auto industry. It is developed to provide a quantitative
measure on the fuel consumption and emission of a vehicle. In recent years, massive …

[HTML][HTML] Hybrid intelligent system for a synchronous rectifier converter control and soft switching ensurement

LA Fernandez-Serantes, JL Casteleiro-Roca… - … Science and Technology …, 2022 - Elsevier
This research implements an intelligent control strategy in a synchronous rectifier buck
converter to assure that the converter operates in soft-switching mode. The converter is …

Hybrid salp swarm and grey wolf optimizer algorithm based ensemble approach for breast cancer diagnosis

K Rustagi, P Bhatnagar, R Mathur, I Singh - Multimedia Tools and …, 2024 - Springer
In the world, cancer is listed as the second leading cause of death. Breast cancer is one of
the types that affects women more often than men, and because it has a high mortality rate …

Identifying heavy goods vehicle driving styles in the united kingdom

GP Figueredo, U Agrawal, JMM Mase… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
Although driving behavior has been largely studied amongst private motor vehicles drivers,
the literature addressing heavy goods vehicle (HGV) drivers is scarce. Identifying the …