Text classification is the most vital area in natural language processing which text data automatically sorted into a predefined set of classes. The application wide commercial works like spam filtering, decision making, extracting information from raw data, and many other applications. more significant for enterprises since it eliminates need manual classification, expensive time-consuming mechanism. In this paper, comparative analysis done efficiency different machine learning algorithms...

Malware instances have been extremely used for illegitimate purposes, and new variants of malware are observed every day. Machine learning in network security is one the prime areas research today because its performance has shown tremendous growth last decade. In this paper, we formulate signature as a 2D image representation leverage deep approaches to characterize contained BIG15 dataset across nine classes. The current compares various machine technologies towards classification such...

Internet of Things, Machine learning, and Cloud computing are the emerging domains information communication technology.These techniques can help to save life millions in medical assisted environment be utilized health-care system where health expertise is less available.Fast food consumption increased from past few decades, which makes up cholesterol, diabetes, many more problems that affect heart other organs body.Changing lifestyle another parameter results issues including...

A recommendation system, often called a recommender is kind of artificial intelligence (AI) algorithm that suggests or recommends products to both current and potential clients based on big data.It makes use data anticipate, target, pinpoint what customers are looking for from an ever-expanding range options.To identify them, variety indicators may be employed, such as past purchases, search history, demographic data, other factors.It helps the users locate services people they unable help...

In e-commerce, Industry 4.0 is all about combining analytics, artificial intelligence, and machine learning to simplify procedures enable product quality review. addition, the importance of anticipating client behavior in context e-commerce growing as individuals migrate from visiting physical businesses shopping online. By providing a more personalized purchasing experience, it can increase consumer satisfaction sales, leading improved conversion rates competitive advantage. Using data...

Internet of Things grew rapidly over the last few years, focus on security has not been kept up. In today's world, smart city developed as a contemporary paradigm to dynamically optimize resources in cities and serve better facilities excellence life for citizens. this paper, model is proposed using Advanced Encryption Standard-256 Secure Hashing Algorithm-256 attain IoT system. The data collected from devices first encrypted AES-256 with symmetric key that created by SHA-256 finally...

Purpose The world is shifting towards the fourth industrial revolution (Industry 4.0), symbolising move to digital, fully automated habitats and cyber-physical systems. Industry 4.0 consists of innovative ideas techniques in almost all sectors, including Smart health care, which recommends technologies mechanisms for early prediction life-threatening diseases. Cardiovascular disease (CVD), includes stroke, one world’s leading causes sickness deaths. As per American Heart Association, CVDs...

Recent years have seen enormous growth in the number of devices connected to Internet. With such rapid development Internet Things (IoT) domain, data generated by these is ever increasing. Data considered as one most crucial entities Things, and this may be homogeneous well heterogeneous nature. Analysis information a simple process will not involve further processing, but analysis huge task. The nature IoT based healthcare system, an important application, leads semantic interoperability,...

Internet of things (IoT) is generally referred to as an internet world little with limited storage and processing ability, but facing communication, security, privacy, interoperability issues. Further, device, network, platform, syntactic, semantic are the major issues in things. Smart objects, termed interconnected devices, generate a huge chunk heterogeneous data its processing, well usage, becomes challenge IoT. Therefore, this semantically annotated using linked vocabularies make it...

Purpose A huge amount of diverse data is generated in the Internet Things (IoT) because heterogeneous devices like sensors, actuators, gateways and many more. Due to assorted nature devices, interoperability remains a major challenge for IoT system developers. The purpose this study use mapping techniques converting relational database (RDB) resource directory framework (RDF) development ontology. Ontology helps achieving semantic application areas which results shared/common understanding...

Internet of things is a little world connected with the integration smart devices like sensors, actuators, gateways, gadgets etc. Smart cities, home, Agriculture, Disaster management, Grid, Healthcare system are some major applications Things. Machine Learning another paradigm technology revolution and used as predictive analytics technique. It employed in about all areas for analysis data. In this paper we proposed diagnosis prediction diseases by unification Things Learning. Data generated...