Among various time series (TS) forecasting methods, ensemble forecast is extensively
acknowledged as a promising ensemble approach achieving great success in research and …

Today, artificial intelligence (AI) and machine learning (ML) have dramatically advanced in
various industries, especially medicine. AI describes computational programs that mimic and …

Breast cancer is the most lethal type of cancer for all women worldwide. At the moment,
there are no effective techniques for preventing or curing breast cancer, as the source of the …

As a common screening and diagnostic tool, Fine Needle Aspiration Biopsy (FNAB) of the
suspicious breast lumps can be used to distinguish between malignant and benign breast …

In today's healthcare setting, the accurate and timely diagnosis of breast cancer is critical for
recovery and treatment in the early stages. In recent years, the Internet of Things (IoT) has …

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 …

This paper presents the current state-of-the art of additive manufacturing (AM) applications
in the biomedical field, especially in tissue engineering. Multiple advantages of additive …

The heart disease is one of the most serious health problems in today's world. Over 50
million persons have cardiovascular diseases around the world. Our proposed work based …

Feature selection, which picks the optimal subset of characteristics related to the target data
by deleting unnecessary data, is one of the most important aspects of the machine learning …

Breast cancer death rates are higher than any other cancer in American women. Machine
learning-based predictive models promise earlier detection techniques for breast cancer …