Venkat Projects

ieee projects ieee live projects ieee btech projects final year projects btech projects in hyderabad ieee academic projects engineering students final year projects b.tech projects m.tech projects mini projects in hyderabad mtech projects in hyderabad be projects final year projects in india me projects student projects mca projects dotnet projects in hyderabad academic projects m.sc projects machine learning algorithms diploma projects data science projects python projects artificial intelegance projects support vector machine gradient boosting algorithm logistic regression linear regression machinelearning projects project output output screens numpy scikit-learn naive bayes dimensionality reduction algorithms feature selection dession tree ramdom forest tree tensorflow keras machine learning deep learning has emerged as an effective means fo non ieee projects deep learning btech projects existing algorithms output large numbers of patter non-ieee projects java ieee 2020 21 projects list security is always a main concern in every domain and deep learning models are used to classify user existing system detecting stress based on social interactions in s ieee python projects latest python projects convolutional neural network based text steganalys cloud computing fit the inter-arrival times and the breach sizes. data mining and feature analysis of college studen workflow based end-to-end system starting from sea intrusion detection using data mining dotnet pro ieee live neural networks machine learning projects machine learning techniques applied to detect cybe optimized audio classification and segmentation al protecting user data in profile matching social ne quantifying covid 19 content in the online health cnn secure cloud storage with data dynamic using secur weapon detection using artificial intelligence and 2022 python major projects li deep learning projects major projects automatic detection of diabetic retinopathy using cse projects projects detection benchmarking image retrieval diversification techn mtech projects system requirements algorithms dscs i is the first secure cloud storage protocol crime analysis mapping proposed system hormonal mutations mouth etc. the causes of such high incidence rates blood bladder esophagus cervix liver prostate or other wireless methods. it contains data genera bus information live monitoring system software is stomach rectum gyroscope and other sensors of smart phone to trai random forest and decision tree to generate a mode digitised and decentralized block chain technology breast lungs diagnosis and treatment of the disease. all types the rate of mortality due to cancer in india was h which is divided into six categories walking cancer has become a big threat to human beings glo walking upstairs walking down-stairs sitting standing and laying? mlm and svm achieved accuracy among various diseases we can build web applications in very less time. d django is a web application framework which is use pandas etc. students will have facility to view all the b theano scipy eli5 timings available routes invisibility cloak using image processing network intrusion detection using supervised machi lightgbm nlp text classification object tracking using python opinion dynamics(opinion dynamics based group reco python libraries presentation contains all top 10 tenslorflow pytoruch poor immune conditions) and external or environmen industrialization over growth of population with the increasing in the number of anti-social a security has been given utmost importance lately. every person is captured by a camera 30 times a there is need to show in which frame and which par latest python projects list perceptrion using tensorflow 5 g smart diabetes toward personalized diabetes di data types etc.) strings what is python…? differences between program and adaptive resource management for analyzing video s so we can focus on application development only. a random decision tree frameworkfor privacy preser r-eclat tool screenshots in this project we are implementing two algorithms integrated segmentation and registration. we conclude by discussing resear emerging trends and possible future directions. real estate appraisal which is the process of estimating the price for r is crucial for both buys and sellers as the basis the repeat sales model has been widely adopted to it depends the design and calculation of a complex which is challenging to estimate accurately. today real estate brokers provide easy access to detaile we analyze the prediction power of online house pi which is one of the key factors for online users t we employ a recurrent neural network (rnn) to pred sequential pattern mining finds applications in nu two main challenges arise. first as datasets grow mining large number of patterns gets computational thus a need for mining approaches that make it possible (2) allows stepwise visualization of patterns bein and (3) enables the user to steer the mining algor one composed of web page visits and another compos analyzing cyber incident data sets is an important and many studies remain to be done. in this paper we report a statistical analysis of a breach incid in contrast to the findings reported in the litera both hacking breach incident inter-arrival times a ai projects m.sc project web applications standalone applications application projects block chain technology characterizing and predicting early reviewers for designing cyber insurance policies-the role of pre exploratory visual sequence mining based on patter customer loan prediction analysis breast cancer detection fraudulent behavior in drinking water consumption a decision tool has been built using the generated web based projects a purely peer-to-peer version of electronic cash w but the main benefits are lost if a trusted third forming a record that cannot be changed without re billions of dollars of loss are caused every year and more and more algorithms rely on advanced mach the highly unbalanced classes distributions and th leaving unanswered many questions about what is th ii) how to deal with unbalanced and evolving data iii) how to assess performances in a way which is we design and assess a prototype of a fraud detect the tremendous success of machine learning algorit focusing on convolutional neural networks and emphasizing clinical aspects of the _eld. the localization we make available our malware sample on github which hopefully will benefit future research effor in order to ensure a company's internet security siem (security information and event management) s the number of warnings in general is wrong with th malicious possibility. attacks and compromised hos we create a user-centric engineer learning framewo their work flow and how to process this data and create an effecti but do machine learning experiences do not exist a we use the account as an example to demonstrate fu label creation feature engineering machine learning algorithm and sample performance product reviews are valuable for upcoming buyers i different opinion mining techniques have been prop where judging a review sentence’s orientation (e.g the success of deep learning highly relies on the (2) adding a classification layer on top of the em namely convolutional feature extractors and long short-te we construct a dataset containing 1.1m weakly labe 754 labeled review sentences from amazon. experime everybody wants to know how to buy goods cheaper o human activity recognition or har for short is a broad field of study concerned with identifyi such as video rather than by distributions because they exhibit we propose particular stochastic process models to respectively we conduct both qualitative and quantitative trend including that the threat of cyber hacks is indeed but not in terms of the magnitude of their damage. crude oil is the world's leading fuel and its prices have a big impact on the global env economy as well as oil exploration and exploitatio governments and individuals. although many methods it remains one of the most challenging forecasting the world's environment is affected by the oil pri the fuel bills are lowered. as a result consumers are very likely to use more oil and thus there is less incentive to develop renewable and c sustained low oil prices could lead to a drop in g although the owners of oil sectors suffer income l the global gdp (gross domestic product) would be i the drop of oil prices would reduce the cost of li and hence the inflation rate would fall. so there image recoloring is a technique that can transfer there is no special method designed for detecting we propose a trainable end-to-end system for disti which consists of three feature extraction blocks we synthesize a data set comprised of recolored im internet of things (iot) in military settings gene particularly state-sponsored or nation state actor we present a deep learning based method to detect in this paper author describing concept to predict negative or neutral. government in this project we are using unsupervised machine special symbol and empty text from dataset. 3) sen negative and neutral responses on covid19 vaccine. in this project we are using lstm (long short term 4.detection of fake news through implementation of 5.local community detection algorithm based on min in this project to recognize person from iris we a now-a-days due to many diseases many peoples are a logistic regression and gradient boosting and in a mistriage admissions 1 71 right ocular pain 160 84 18 corneal abrasion 86 5.0 0 0 56 car right forearm burn 137 75 which had pre-labelled images and the other one is which were labelled manually. results are tabulate both algorithms achieve good accuracy but their application in real situations can be ba four machine learning methods to predict academic ml using python dl using python ai using python active learning from imbalanced data: a solution o 14 ground water modelling opinion dynamics-based group recommender systems twitter sentiment analysis java projects iot search engine optimization sentiment analysis using machine learning security and privacy preserving challenges of e-he cloud colonography distributed medical testbed ove an integrated event summarization approach for com an effecient spam detection technique for io t dev security enhanced content sharing in social io t a dynamic network slicing and resource allocation in collaborative content delivery in software defined trust based video management framework for social online hashing with bit selection for image retrie efficient io t management with resilience to unaut an efficient spam detection technique for io t dev 1.identifing of fake profiles across online social i3 hardware requirements software requirements application and evaluation space software development local dynamic neighborhood bas neighborhood based outlier approach and it's applications for large scale datasets datasets 5.watermarking images swt water noise attacks a forest fire identification unmanned aerial image forgery detection based fusion of lightweight deep geo tracking of waste student market analysis 9.implementation of blockchain automatic detection deep learing 60 36.5 8.an artificial intelligence and cloud based colla in this project author using convolution neural ne 9.data analysis for understanding the impact of co in this paper author analysing vaccines dataset to pfizer and many more. in this forecasting will tak 10.sentiment analysis of customer product reviews in this project author is detecting sentiments fro decision tree and naïve bayes. in all 3 algorithms an artificial intelligence and cloud based collabo tracking and forecasting for farmers 2021 python projects list ann dimensionality reduction algor online inventory management project title engineering projects mobile application development s.no automatic detection of diabeti a convolutional neural network images data scienece projects logistig regression algorithm optimised stacked ensemble python clusting the periodic pattern and the correlation pattern hidden in event sequences of at most two event typ we propose an event periodicity detection algorith we make a simple statistical test based on low ord and then apply inter-arrival histograms to summari the minimum description length principle is used t the event relationship network is built to describ robust to noises and scalable. the average compression ratio of eve this paper further enhances the techniques and chr pros and cons of their predecessor projects .they whether the product has reached the market and cam data mining plays a key role in crime analysis. th among them are the virtual identifier pruning strategy support vector machines and apriori algorithms. vid is to find relation be we identified crime mapping analysis based on knn the crime mapping is an essential research area to we follow the following steps in order to reduce t the rise and promotion of big data methods enables especially to find out the groups of students that and to help promote the student affairs management 245 students in a certain grade of b university obtains a total of 23.843 million internet access finds 350 students with large network usage. achie which can be used as a practical operation case fo providing effective data support for the accurate radar 2.achieving practical symmetric searchable encrypt achieving searchable encryption scheme with search authentication and key agreement based on anonymou designing secure and efficient biometric based sec privacy preserving medical treatment system throug development and examination of fog computing based identity based encryption transformation for flexi secure data transfer and deletion from counting bl pay as you decrypt decryption outsourcing for func adaptive diffusion of sensitive information in onl scalable and adaptive data replica placement for g social multimedia networks (smns) have attracted m which make the satisfaction of those requirements untrusted and unauthorized contents. for this purp controlling and verifying content delivered to end many researchers have investigated the possibiliti the aim of this paper is to propose a framework th ram and storage. the key concepts beneath the proposed ii) creating an intelligent agent that decides whi and iii) checking the videos’ integrity and delive we ensure that the trust level of the smns increas efficient capital expenditure (capex) and operatio event mining is a useful way to understand compute a low precision especially with the presence of no and providing a summary which is difficult for a h we propose an integrated event summarization appro a huge amount of potentially dangerous covid-19 mi in particular vaccinations ("anti-vax"). we find t the pro-vaccination (“pro-vax”) community. however the anti-vax community exhibits a broader range of and hence can appeal to a broader cross-section of e.g. individuals wary of a mandatory fast-tracked leaving countries open to future covid-19 resurgen in the age of cloud computing cloud users with limited storage can outsource the in lieu of monetary benefits offer retrievability of their clients’ data at any we explore the possibility of constructing a secur and we construct such a protocol (dscs i) based on deletions and modifications append-only data find numerous applications in the we provide prototype implementations for dscs i an with the increasing rate at which data is created it becomes necessary to analyze and make use of th when something crucial is happening in the nation it is of paramount importance to decide every step which has become quite a popular tool of communica millions of users share their views and opinions o reddit tumblr facebook. data from these sites can be efficiently we have taken into account various methods to perf due to a rise in crime rate in a crowded event or security and personal properties psychological stress is threatening people’s healt people are used to sharing their daily activities making it feasible to leverage online social netwo we find that users stress state is closely related and we employ a large-scale dataset from real-worl visual and social attributes from various aspects and then propose a novel hybrid model - a factor g we also discover several intriguing phenomena i.e. the number of social structures of sparse con indicating that the social structure of stressed u the increased usage of cloud services growing number of web applications users changes in network infrastructure that connects de to counter arising threats network security mechanisms sensors and protection schemes also have to evolve to address the needs and problems of the users. in we focus on countering emerging application layer in this paper we consider a scenario where a user queries a user maintained by a social networking service provider to identify users whose profiles match the profile an online dating website ashley madison was hacked which results in disclosure of a large number of d we propose a privacy-preserving solution for profi needs and deployment of video surveillance systems