Artificial intelligence

Privacy-Preserving Deep Learning NLP Models for Cancer Registries

Privacy-Preserving Deep Learning NLP Models for Cancer Registries

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 […]

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A Hybrid Deep Model Using Deep Learning and Dense Optical Flow Approaches for Human Activity Recognition

A Hybrid Deep Model Using Deep Learning and Dense Optical Flow Approaches for Human Activity Recognition

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

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Comparative Analysis to Predict Breast Cancer using Machine Learning Algorithms: A Survey

Comparative Analysis to Predict Breast Cancer using Machine Learning Algorithms: A Survey

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.

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A Comparative Study on Machine Learning and Artificial Neural Networking Algorithms

A Comparative Study on Machine Learning and Artificial Neural Networking Algorithms

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,

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A Comparative Sentiment Analysis Of Sentence Embedding Using Machine Learning Techniques

A Comparative Sentiment Analysis Of Sentence Embedding Using Machine Learning Techniques

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

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A New Event Model for Event Notification Services Applied to Transport Services in Smart Cities

A New Event Model for Event Notification Services Applied to Transport Services in Smart Cities

Abstract Event Notification Services (ENS) have an important role in the current context of Smart Cities. The publish-subscribe paradigm is a suitable approach to connect users and service providers. For

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Smart Nursery for Smart Cities: Infant Sound Classification Based on Novel Features and Support Vector Classifier

Smart Nursery for Smart Cities: Infant Sound Classification Based on Novel Features and Support Vector Classifier

Abstract In the age of smart cities, it is envisioned that most processes within the smart city context will be smart and automated. This includes smart houses, smart kitchens, etc.

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Face Recognition: Challenges and Issues in Smart City/Environments

Face Recognition: Challenges and Issues in Smart City/Environments

Abstract Smart city challenges, like increased traffic, the risk to public safety, effective law enforcement, and the smart environment challenges improving personalized services such as health care and home environment

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Research on the Application of Face Recognition Technology in Public Service of Smart City

Research on the Application of Face Recognition Technology in Public Service of Smart City

Abstract In order to realize the application of face recognition technology in the public service of smart cities, this paper proposes a novel application method of face recognition technology based

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