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