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latest final year IOT Projects topics and ideas free download
FINAL YEAR IOT PROJECTS TOPICS IDEAS 1. A Conceptual Framework For IOT-Based Health Care System Using Cloud Computing 2. IOT Based Water Level Meter For Alerting Population About Floods 3. Smart Real-Time…
CISRP connectivity-aware intersection-based shortest path routing protocol for VANETs in urban environments using ns2
ABSTRACT:Vehicular ad hoc networks (VANETs) are a key technology for intelligent transportation system providing different services in safety and entertainment applications. Routing in VANET encounters high mobility of nodes, heterogeneous…
k Nearest Neighbor Search for Location Dependent Sensor Data in MANETs using ns2
ABSTRACT:K nearest neighbour (kNN) queries, which retrieve the k nearest sensor data items associated with a location (location-dependent sensor data) from the location of the query issuer, are useful for…
Heavy-traffic analysis of QoE optimality for on-demand video streams over fading channels using matlab
ABSTRACT:This project proposes online scheduling policies to optimize quality of experience (QoE) for video-on-demand applications in wireless networks. We consider wireless systems where an access point (AP) transmits video content…
Dense-Device-Enabled Cooperative Networks for Efficient and Secure Transmission using ns2
ABSTRACT: With the advancements in wireless networks, the number of user devices has increased dramatically, resulting in high device densities. Despite the resulting data traffic deluge, accompanied by severe security…
A real time traffic light control scheme for reducing vehicles co2 emissions
ABSTRACT An embedded system is a special-purpose computer system designed to perform a dedicated function. Unlike a general-purpose computer, such as a personal computer, an embedded system performs one or…
Wireless Sensor Network-based air quality monitoring system using embedded system
ABSTRACTAn embedded system is a computer system with a dedicated function within a larger mechanical or electrical system, often with real-time computing constraints. It is embedded as part of a…
Supervised Search Result Diversification via Subtopic Attention using dotnet
ABSTRACT:Search result diversification aims to retrieve diverse results to satisfy as many different information needs as possible. Supervised methods have been proposed recently to learn ranking functions and they have…
Using Hashtag Graph-Based Topic Model to Connect Semantically-Related Words Without Co-Occurrence in Microblogs using dotnet
ABSTRACT:Mining topics in Twitter is increasingly attracting more attention. However, the shortness and informality of tweets leads to extreme sparse vector representation with a large vocabulary, which makes the conventional…
GALLOP Global Feature Fused Location Prediction for Different Check-in Scenarios using DotNet
ABSTRACTLocation prediction is widely used to forecast users’ next place to visit based on his/her mobility logs. It is an essential problem in location data processing, invaluable for surveillance, business,…
Analyzing Titanic disaster using Machine Learning Algorithms hadoop frame work using big data
ABSTRACT:The Titanic disaster occurred 100 years ago on April 15, 1912, killing about 1500 passengers and crew members. The fateful incident still compel the researchers and analysts to understand what…
Analysing uber data and selecting popular destination using big data
ABSTRACT:This paper presents an evaluation of the critical factors influencing the choice of destinations this study focuses on the internal factors that motivate tourists to choose their preference of destination.…
Interplay Between Video Recommendations, Categories, and Popularity on YouTube using bigdata
ABSTRACT:YouTube is one of the most popular video sharing sites, which allows users to upload, view, rate, share and comment on videos. Three of the many YouTube features, namely, tagging…
The Statistical Analysis of Patients Clinical Data in Emergency Department by Using Hospital Information System using bigdata
ABSTRACT:Using hospital information system (HIS) to classify the patients who were treated in the emergency department and discuss the spectrum of diseases. We collected the clinical information of the patients…
Vehicle classification and speed estimation using Computer Vision techniques using python
ABSTRACT: The self-Driving Car research problem requires several sub-topics that need to be discussed more deeply. Such as Deep Learning, Computer Vision, Fusion Sensor, Localization, Control, until Path Planning. All…
Driver drowsiness detection system using python
ABSTRACT: Drivers who do not take regular breaks when driving long distances run a high risk of becoming drowsy a state which they often fail to recognize early enough according…
Face Detection Using Python and OpenCV
ABSTRACT:The growing interest in computer vision of the past decade. Fuelled by the steady doubling rate of computing power every 13 months, face detection and recognition has transcended from an…
Hospital management System using python
ABSTRACT: Hospital Management system includes registration of patients, storing their disease details into the system. It will also contain doctor’s information and will digitalize the whole billing system. My software…
Intelligent Hospital Management System (IHMS) using python
ABSTRACT:An intelligent hospital information management system was developed to assist the patient at the front desk of a hospital. The patient will be able to learn about the doctors, appointment…
Emotion recognition by analysis of EEG signals using matlab signal processing
ABSTRACT:An emotional recognition system based on physiological signals. We adopt the seven basic emotions that are: neutral, joy, sadness, fear, anger, disgust and surprise. An experiment was conducted to verify…
Automatic Emotion Recognition from Speech Using Machine Learning with Gender Dependent Databases using matlab signal processing
ABSTRACT:In this paper, we study how speech features numbers and statistical values impact recognition accuracy of emotions present in speech. With Gaussian Mixture Model (GMM), we identify two effective features,…
Marine Object Detection Using Background Modelling and Blob Analysis using matlab
ABSTRACT: This project proposes a fully automatic object detection technique for marine images, which enable the non-invasive monitoring of species overcoming the problems associated with the traditional tow-net based…