Diabetes, a prevalent chronic disease, affects significant global population. Identifying and being aware of key variables promptly may substantially enhance results for both patients public health efforts. Systematic methods such as monitoring diabetic allow the collection extensive data from patients. When it comes to keeping track patient's health, IoT sensors, those used in patient systems, are invaluable. Blood glucose levels, body temperature, location can be tracked recorded through...

Big Data, the new buzz word in industry, is data that exceeds processing and analytic capacity of conventional database systems within time necessary to make them useful. With multiple stores abundant formats, billions rows with hundreds millions combinations urgent need making best possible decisions, challenge big solution bigger, Data. Comes it, advances computing technology together its high performance analytics for simpler faster only relevant enable timely accurate insights using...

Character recognition from scanned images is a very complex task. But as for record keeping we require all the data in digital format to perform various manipulation operations. The main issue case of character different styles and fonts which text written. We proposed new approach by using concept Artificial Neural Network Nearest Neighbour images. Three layers are used classification purpose. First input layer consist given segmented characters, then hidden neurons trained training network...

Today it’s a very serious issue of air pollution in our environment. Day by its increasing because industries, vehicles and constructions sites. So, this IOT based Air Pollution Monitoring System works to monitor the current quality over web server using internet. effects mainly human lungs they face many disease as well. The particle which is generated from these sectors are categorized two types first PM 2.5 vehicle, bricks chimneys industries second one 10 construction sites, mines etc....

This paper presents a new technique of classification Plant Leaf Disease (Potato Late Blight) using gradient and texture features Artificial Neural Networks. uses Networks to Segment an Image which is initially segmented unsupervised Fuzzy-C-means Clustering Algorithm. In this proposed approach decorrelation extending utilized enhance the shading contrasts as part information pictures. At that point Fuzzy C-mean bunching connected portion sickness influenced region additionally incorporate...

The field of Image processing make a high impact in the era fast growing technology to increase or satisfy human comfort level. A single image may contain thousand times more information than written text on piece paper. But due advent technology, number formats exists provide strength data like JPEG, Tiff, BMP, Gif etc. Due this change and existence these different formats, resolution images are produced require memory for purpose storage. Even when we wants communicate basis through...

One of the most deadly conditions that can afflict both children and adults is a brain tumor. Brain tumors progress rapidly, decreasing patient’s probability survival if they are not effectively treated. The importance finding cancers early cannot be overstated. For variety reasons, including intricacy neuronal structure size, as well form brain, diagnosing challenging. frequent methods for detecting localising tumor magnetic resonance imaging (MRI). Due to complexity their qualities, manual...

Cyber-bullying is a growing concern in today's society, especially countries like India where the language used for online communication often mix of Hindi and English, commonly known as 'Hinglish'. In this study, machine learning-based approach proposed detecting cyber-bullying Hinglish text. This study utilizes several natural processing (NLP) techniques variety learning algorithms to analyze linguistic features text identify instances cyber-bullying. Proposed experimental results on...

As the need and utilization of data in modern world are increasing day by day, we effective., scalable., better ways to store access huge lumps data. Choosing right Database Management System is an important decision while developing any major application. One such tool gaining popularity NoSQL Databases. In this Review Paper, tried explore various theses research gather information on Databases Non-Relation Systems analyzed reasons for sharp increase their recent times. The objective...

Machine learning techniques have gained a lot of attention in several industries, including education. Students an important responsibility to anticipate their careers since it helps them choose future academic and professional paths. This paper presents way for predicting student using machine algorithms. The research uses large dataset that include records, personal traits, career outcomes. Preprocessing are used encode categorical variables, manage missing values, standardize data. With...

With the advent of business apps which allow users to form dynamic groups so that they can store data on cloud servers and share within their user through mobile devices.A major concern comes here need security group should not be accessible other users.To solve issue, ABE or Attribute Based Encryption techniques are employed as vastly recognized a valid robust mechanism provide fine access control over legitimate users.At same time, there complex computations involved in key issuing...

The weight is assigned to all edges of graph according a uniform policy and focus on the leaves nodes Spanning Tree Control Flow Graph Program. If tree are covered by test cases, then number cases required or testing program can be reduced great extent. Further spanning based concept maximum CFG which helps in finding critical paths CFG. chances errors more as compare normal path. Covering give guarantee for coverage Critical path also. paper also shows that case less Dominance concept. For...

KNN is one of the most popular machine learning algorithms.There are different parameters on which performance an algorithm depends.The depends value K, and distance metric.So while implementing for classification rule discovery, a proper care must be taken to choose 'K'.Second parameter also very important metric.As there types function can used with KNN, selection effective task.In this paper 'K' selected basis mean error it found that best values 8, 12 15.Then using K=8, 15, implemented...