Prediction of breast tumour malignancy using ultrasound imaging, is an important step for
early detection of breast cancer. An efficient prediction system can be a great help to …

Due to the lengthy and complex nature of legal documents, automatic summarization has
very high applicability in this domain. Recently, several researchers have proposed …

Feature Selection (FS) is choosing a subcategory of features purposed to construct a
machine learning model. Among the copious existing FS algorithms, Binary Particle Swarm …

Ultrasound imaging is one of the common modalities used nowadays during radiological
screening of breast cancer. A novel residual deep convolutional neural network (DCNN) is …

Cancer plays a vital role in saving the lives of the losses. The research “A Healthcare
System based on SVOF-KNN Model for Breast Cancer Classification” aims to classify BC …

Breast cancer is one of the leading causes of death in females and survival depends on
early diagnosis and treatment. This paper applied machine learning techniques in prediction …

Early detection of malignant breast cancer can significantly improve the survival chances of
the involved patients. Analysis of a non-invasive and non-radioactive modality like …

Abstract Current Internet of Things (IoT) research focuses on inserting cognition into its
system architecture and design. Therefore, Cognitive IoT (CIoT) has emerged. CIoT inherits …

Incorporating cognition into the design and architecture of the Internet of Things (IoT) has
recently been the subject of much research, giving rise to a new subfield known as the …

One central area of current Internet of Things (IoT) research is develo** methods for
objects to sense their environment autonomously and then link them together so that they …