Nitish Biswas
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View article: Analyzing infant cry to detect birth asphyxia using a hybrid CNN and feature extraction approach
Analyzing infant cry to detect birth asphyxia using a hybrid CNN and feature extraction approach Open
Asphyxia, a critical respiratory condition, poses significant risks to newborns and can lead to catastrophic outcomes. Early detection of asphyxia is crucial for reducing infant mortality rates. Traditional medical diagnosis methods can be…
View article: Explainable Machine Learning for Phishing Site Detection: A High‐Efficiency Approach Using Boosting Models and SHAP
Explainable Machine Learning for Phishing Site Detection: A High‐Efficiency Approach Using Boosting Models and SHAP Open
Nowadays, a wide range of electronic devices are being connected through the internet, and a wide range of cybercrimes are being coordinated. Phishing is one of the most serious online crimes. It poses a major threat to people and business…
View article: <scp>XML‐LightGBMDroid</scp>: A self‐driven interactive mobile application utilizing explainable machine learning for breast cancer diagnosis
<span>XML‐LightGBMDroid</span>: A self‐driven interactive mobile application utilizing explainable machine learning for breast cancer diagnosis Open
Nowadays, breast cancer detection and diagnosis are done using machine learning algorithms. It can enhance cancer understanding and help in treatment selection and diagnosis. But many reliable decision assistance systems have been develope…
View article: Machine learning-based diagnosis of breast cancer utilizing feature optimization technique
Machine learning-based diagnosis of breast cancer utilizing feature optimization technique Open
Breast cancer disease is recognized as one of the leading causes of death in women worldwide after lung cancer. Breast cancer refers to a malignant neoplasm that develops from breast cells. Developed and less developed countries both are s…
View article: XML-GBM lung: An explainable machine learning-based application for the diagnosis of lung cancer
XML-GBM lung: An explainable machine learning-based application for the diagnosis of lung cancer Open
Lung cancer has been the leading cause of cancer-related deaths worldwide. Early detection and diagnosis of lung cancer can greatly improve the chances of survival for patients. Machine learning has been increasingly used in the medical se…
View article: Machine learning-based approach to the diagnosis of cardiovascular vascular disease using a combined dataset
Machine learning-based approach to the diagnosis of cardiovascular vascular disease using a combined dataset Open
Nowadays, one of the most important illnesses is a heart disease which causes most patients dead. The medical diagnosis of heart disease is quite difficult. This diagnosis is a challenging process that requires accuracy and efficiency. The…
View article: A secure multiparty micropayment protocol for internet access over WLAN mesh networks
A secure multiparty micropayment protocol for internet access over WLAN mesh networks Open
Presently, multi-hop WLAN mesh networks have become an alternative to wired networks for last-mile user access enabling numerous internet-based services. Thus, we have proposed MMPay, a secure multiparty micropayment protocol for internet …