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[HTML][HTML] A lightweight SEL for attack detection in IoT/IIoT networks
Intrusion detection systems (IDSs) that continuously monitor data flow and take swift action
when attacks are identified safeguard networks. Conventional IDS exhibit limitations, such …
when attacks are identified safeguard networks. Conventional IDS exhibit limitations, such …
Decoding the black box: Explainable AI (XAI) for cancer diagnosis, prognosis, and treatment planning-A state-of-the art systematic review
Abstract Objective Explainable Artificial Intelligence (XAI) is increasingly recognized as a
crucial tool in cancer care, with significant potential to enhance diagnosis, prognosis, and …
crucial tool in cancer care, with significant potential to enhance diagnosis, prognosis, and …
Advancing breast ultrasound diagnostics through hybrid deep learning models
Today, doctors rely heavily on medical imaging to identify abnormalities. Proper
classification of these abnormalities enables them to take informed actions, leading to early …
classification of these abnormalities enables them to take informed actions, leading to early …
Swarm Intelligent Metaheuristic Optimization Algorithms-Based Artificial Neural Network Models for Breast Cancer Diagnosis: Emerging Trends, Challenges and …
Abstract Breast Cancer Disease is identified as one of the prime causes of death in women
around the globe standing next to lung cancer. Breast cancer represents the development of …
around the globe standing next to lung cancer. Breast cancer represents the development of …
The efficacy of machine learning models in lung cancer risk prediction with explainability
Among many types of cancers, to date, lung cancer remains one of the deadliest cancers
around the world. Many researchers, scientists, doctors, and people from other fields …
around the world. Many researchers, scientists, doctors, and people from other fields …
[HTML][HTML] Graph regularized least squares regression for automated breast ultrasound imaging
Breast cancer, recognized as one of the most pervasive malignancies affecting females,
manifests a perpetual escalation in its worldwide morbidity. Timely screening offers patients …
manifests a perpetual escalation in its worldwide morbidity. Timely screening offers patients …
Breast Carcinoma Prediction through Integration of Machine Learning Models
Breast cancer poses a global health challenge, with high incidence and mortality rates. Early
detection and precise diagnosis are crucial for patient prognosis. Machine learning (ML) …
detection and precise diagnosis are crucial for patient prognosis. Machine learning (ML) …
Skin-NeT: Skin Cancer Diagnosis Using VGG and ResNet-Based Ensemble Learning Approaches.
To address the critical issue of late skin cancer diagnosis and its severe implications, this
study leverages the latest in Computer Aided Diagnosis (CAD) and machine learning …
study leverages the latest in Computer Aided Diagnosis (CAD) and machine learning …
Automated Brain Tumor Identification in Biomedical Radiology Images: A Multi-Model Ensemble Deep Learning Approach
Brain tumors (BT) represent a severe and potentially life-threatening cancer. Failing to
promptly diagnose these tumors can significantly shorten a person's life. Therefore, early …
promptly diagnose these tumors can significantly shorten a person's life. Therefore, early …
XAI Unveiled: Revealing the Potential of Explainable AI in Medicine-A Systematic Review
Nowadays, artificial intelligence in medicine plays a leading role. This necessitates the need
to ensure that artificial intelligence systems are not only high-performing but also …
to ensure that artificial intelligence systems are not only high-performing but also …