A review on nature-inspired algorithms for cancer disease prediction and classification

A Yaqoob, RM Aziz, NK Verma, P Lalwani, A Makrariya… - Mathematics, 2023 - mdpi.com
In the era of healthcare and its related research fields, the dimensionality problem of high-
dimensional data is a massive challenge as it is crucial to identify significant genes while …

State-of-the-art machine learning techniques for melanoma skin cancer detection and classification: a comprehensive review

H Bhatt, V Shah, K Shah, R Shah, M Shah - Intelligent Medicine, 2023 - mednexus.org
Skin cancer is among the most common and lethal cancer types, with the number of cases
increasing dramatically worldwide. If not diagnosed in the nascent stages, it can lead to …

Skin cancer diagnosis based on deep transfer learning and sparrow search algorithm

HM Balaha, AES Hassan - Neural Computing and Applications, 2023 - Springer
Skin cancer affects the lives of millions of people every year, as it is considered the most
popular form of cancer. In the USA alone, approximately three and a half million people are …

Handling imbalanced class in melanoma: Kemeny–Young rule based optimal rank aggregation and Self-Adaptive Differential Evolution Optimization

G Srivastava, N Pradhan - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Melanoma, despite its relatively low incidence compared to other types of skin cancer,
accounts for a significant proportion of skin cancer-related deaths. Early detection of …

Advancements in traditional machine learning techniques for detection and diagnosis of fatal cancer types: Comprehensive review of biomedical imaging datasets

HM Rai, J Yoo, SA Moqurrab, S Dashkevych - Measurement, 2024 - Elsevier
Accurate cancer detection and diagnosis are imperative for advancing patient outcomes and
mitigating mortality rates. This extensive review scrutinizes the progress within the domain of …

DDoS attack detection in IoT environment using optimized Elman recurrent neural networks based on chaotic bacterial colony optimization

MIT Hussan, GV Reddy, PT Anitha, A Kanagaraj… - Cluster …, 2023 - Springer
Abstract The Internet of Things (IoT) is made up of billions of interconnected devices that can
transmit and receive data over the Internet. IoT devices have many vulnerabilities that …

Machine learning and computer vision based methods for cancer classification: A systematic review

SB Mukadam, HY Patil - Archives of Computational Methods in …, 2024 - Springer
Cancer remains a substantial worldwide health issue that requires careful and exact
classification to plan treatment in its early stages. Classical methods of cancer diagnosis …

[HTML][HTML] Seleksi Fitur pada Supervised Learning: Klasifikasi Prestasi Belajar Mahasiswa Saat dan Pasca Pandemi COVID-19

A Rahmadeyan, M Mustakim - Jurnal Nasional Teknologi dan …, 2023 - teknosi.fti.unand.ac.id
Dampak pandemi COVID-19 membuat lembaga pendidikan mengubah metode belajar
menjadi pembelajaran jarak jauh secara daring. Banyak perguruan tinggi menyatakan …

Intraclass clustering-based CNN approach for detection of malignant melanoma

AD Bandy, Y Spyridis, B Villarini, V Argyriou - Sensors, 2023 - mdpi.com
This paper describes the process of developing a classification model for the effective
detection of malignant melanoma, an aggressive type of cancer in skin lesions. Primary …

An aseptic approach towards skin lesion localization and grading using deep learning and harris hawks optimization

HM Balaha, AES Hassan, EM El-Gendy… - Multimedia Tools and …, 2024 - Springer
Skin cancer is the most common form of cancer. It is predicted that the total number of cases
of cancer will double in the next fifty years. It is an expensive procedure to discover skin …