Abstract Feedforward neural network (FNN) is an information processing system that simulates human brain function to a certain extent by referring to the structure of a biological neural network and […]
Abstract Local feature extraction is one of the most im-portant tasks to build robust video representation in humanaction recognition. Recent advances in computing visual features,especially deep-learned features, have achieved excellent
Distributed Feature Extraction on Apache Spark for Human Action Recognition Read More »
Abstract With the explosive increase of big data, it is necessary to apply large-scale data processing systems to analyze Big Data. Arguably, Spark is state of the art in large-scale
Abstract Population cancer registries can benefit from deep learning (DL) to automatically extract cancer characteristics from pathology reports. The success of DL is proportional to the availability of large labeled
Privacy-Preserving Deep Learning NLP Models for Cancer Registries Read More »
Abstract Human activity recognition is a challenging problem with many applications including visual surveillance, human-computer interactions, autonomous driving, and entertainment. In this study, we propose a hybrid deep model to
Abstract Breast Cancer is the second most dangerous cancer in the world. Most of the women die due to breast cancer not only in India but everywhere in the world.
Abstract The diagnosis of heart disease by the classical medical approach takes a huge amount of time. Besides blood tests and X-ray, this approach includes multiple tests like MRI, Echocardiogram,
A Comparative Study on Machine Learning and Artificial Neural Networking Algorithms Read More »
Abstract Analyzing sentiment is a process to identify the opinion of a text. It is also known as opinion mining or emotion Artificial Intelligence (AI). People post comments in social
A Comparative Sentiment Analysis Of Sentence Embedding Using Machine Learning Techniques Read More »
Abstract The inclusion of children with autism spectrum disorders (ASD) in mainstream classrooms is dramatically impeded by their difficulties in socio-adaptive behaviors. This paper presents a package of mobile applications
Abstract This paper employs hierarchical clustering, strategic diagrams, and network analysis to construct an intellectual map of the Child–Computer Interaction research field (CCI) and to visualize the thematic landscape of
Mapping child–computer interaction research through co-word analysis Read More »
