bluuebunny/crossref_metadata_2025_split huggingface dataset:
RETRACTED: An Efficient Deep Learning Approach for Brain Tumor Segmentation Using CNN
Authors: Kumar M. Jogendra , Sai N. Raghavendra , Chowdary Ch. Smitha 
Published: December 2020

Abstract
The focus on this endeavor may be to composed totally altered tumor division system utilizing convolutional neural networks (CNN). Tumors could show up any place in the mind and basically such a size, shape, and multifaceted nature. These causes drive the use of a versatile, high breaking point profound NN. This may be a system of the work completed in this view with a push to portray in procedure utilized. The BraTS cerebrum tumor division challenge dataset, which contains MRI ranges of mind for higher than 200 patients is utilized in this assessment. A fix wise division procedure will be utilized and 98% exactness on test set of patches. An assortment of evaluations have completed around the NN significance utilized the various models to set up the best designing for this errand. The CNN will be utilized to locate the correct region of profound NN and gliomas CNN have used to locate the terrible zone. The Deep NN is to discover the shrouded units in gliomas.
A Hybrid Hash-Stego for Secured Message Transmission Using Stegnography
Authors: Pavan Kumar A. , Gajjela Lingam , Sai N. Raghavendra 
Published: December 2020

Abstract
Steganography and cryptography is utilized together to fuse different layers security. Cryptography is a cryptographic framework and which is utilized to scramble the visual information. Cryptography is utilized in information stowing perpetually, secure the pictures, hidden picture, sight and sound and different fields. Steganography is the procedure for concealing mystery information into another information so it is basically more guaranteed about. In steganography the conundrum messages install in an innocuous looking spread, for example, a genuine picture chronicle, by then the picture is passed on. For scramble and unscramble the information we can utilize the cryptography procedure. The information are changed over into some other rubbish structure, and some time later the mixed information are passed on. Straightforwardly a days we have seen a smart improvement of correspondences security and the antonymous individual access conundrum information for the information correspondence experts. Cryptography and Steganography are the all around utilized procedures to vanquish this danger. LSB[1] method is utilized to camouflage the mixed message into annals. This undertaking is to improve another strategy for concealing riddle messages into video, the space of tending to the characters parallelly we are isolating the video chart utilizing steganalysis.
Suitable encrypting algorithms in Parallel Processing for improved efficiency
Authors: Tallapally Sampath Kumar , Manjula B. 
Published: December 2020

Abstract
Cryptographic algorithms play a vital role in providing security to the data and from malicious attacks. Now a day’s storing the data in the Cloud became essential for organizations to reduce the overhead of securing the data within the organization. “Stream ciphers” are more vulnerable to attacks when compared to “Block Ciphers”. In this article we used java platform to evaluate and compare all the block cipher techniques used for converting plain text to cipher text and we have identified the best block cipher technique which can be used in cloud.
A novel framework for quality of service aware vertical handover process in heterogeneous wireless networks
Authors: Pramod Kumar P , Sagar K , Ranadheer Reddy G , Shwetha S , Pranathi V 
Published: December 2020

Abstract
The evolution of wireless communication technology and the growing number of mobile users with various applications together have formed a heterogeneous environment of wireless communication networks with real-time availability and high bandwidth preferences. Everyone in the world wants consistent mobility to connect seamlessly to the best available network anytime and anywhere. Therefore, an efficient and Quality of Service (QoS) aware Vertical Handover (VHO) techniques are needed when the mobile connections have to switch from one network to another network to provide effective mobility performance, seamless connectivity, and high availability of connections. Applying efficient VHO process in a heterogeneous wireless network is still a big topic of interest in research field. It has been observed that existing handover techniques are not much capable of providing user preference and QoS aware mobile communication and network selection process. This problem incorporates various unwanted factors such as communication delay, inconsistent mobility, security towards the communication process. This paper discusses various existing research works that have been carried out to improve the VHO process to boost overall communication performance and to raise QoS of wireless mobile communications in the heterogeneousnetworks.
Enhancing dull images using discrete wavelet families and fuzzy
Authors: Kothandaraman D , Balasundaram A , Korra SeenaNaik , Sudarshan E , Vijaykumar B 
Published: December 2020

Abstract
Enhancement of an image which is dull is used in important application like restoring an image. Especially when enhancing a gloomy image it becomes quite difficult. Hence a simpler but effective method for enhancing the image is proposed here. Here a novel method based on graphical user interface which allows the user to enhance the image based on their requirement is proposed. The algorithm used for this is the discrete wavelet transforms families which will decompose the dull image. The four approximation coefficient obtained after decomposition are further manipulated using fuzzy logic in order to enhance the image. And then inverse discrete wavelet transform is used to reconstruct the image. Experimental results show that the proposed method is robust in enhancing the quality of images.
Discover the Adaption of Big Data Study in EHR Information
Authors: Krishna Rao R A V , Razia Shaik , Harita D. 
Published: December 2020

Abstract
An adoption of digital health documents has recently developed in fantastic realm. A little vigor our bodies stockpile, cope and route their statistics in force. However, the subsistence of such tremendous and scrupulous unit poses new confront and problems for health professionals. In verity, even though the most essential intention of electronic fitness documentation is to achieve great tribal information from health flow of work data for very general practitioner make the most significant analytical tackle. This is due to more than one building and steps, which definitely discourages them from wanting more and more. We eliminate and accurately discover the appropriate adaptation of analytical tools to electronic records on physical condition to improve their use through the capacity of health professionals. A case study is presented on the discharge approach of EHR based on open fully electronic fitness documentation and appears in the adoption of health analysis.
Innovative Task Scheduling Algorithm in Cloud Computing
Authors: Magesh Kumar S. , Auxilia Osvin Nancy V. , Balasundaram A , korra Seena Naik , Kothandaraman D , Sudarshan E 
Published: December 2020

Abstract
This work concentrates around the task scheduling depends on QoS and imperative of desire. Under nature of vibrant cloud computing, effectiveness improving of scheduling of task and load balancing are interminable issues. For clients, be that as it may, it’s progressively imperative to meet their necessities of QoS. This paper identifies with an improvement decency intention depends on new Berger’s model under the earth of vibrant cloud computing. As indicated by the distinctive kind of task scheduling, we portray the need of decency, proficiency and the Balance among advantage and reasonableness separately. We recompile the CloudSim and recreate the three undertaking task scheduling above based on expanded CloudSim individually. The exploratory outcomes show that this calculation portion not just meet the guideline of offering need to profit with because of thought to decency, yet additionally address clients’ issues of orchestrated QoS.
RETRACTED: An Overview on Prediction of Plant Leaves Disease using Image Processing Techniques
Authors: Sakhamuri Sridevi , Kompalli Vijaya Sri 
Published: December 2020

Abstract
In the Indian Economy, agriculture plays a main role, therefore prior detection of plant diseases will aid in maximizing the productivity of the crops thereby adding to the economy’s augmentation. To predict the plant diseases, manual identification is used earlier but it requires vast manpower and wide knowledge about plants. Multi disease models and pest prediction can be automated using image processing techniques. This paper shows an overview of various image processing techniques to obtain and organize diseases in the plant. Developing contamination, supplement lack, dry season, and so on are the reasons in light of which plants are inclined to the various sicknesses. Illnesses can be found on the root, stem, branches, leaves, blossoms, and organic products. Diseases in plants are the main production and financial losses also decrease in agricultural product quality and quantity. To propose a proper solution for relating illness, recognizable proof, and arrangement of infections is significant. We reviewed a simple plat leaf disease detection system that would ease progressions in agriculture. The survey on various classification techniques presented in this paper for plant leaf diseases. An Automatic finding of plant diseases is significant to regularly find out the disease signs as soon as they emerge on the mounting phase.
Analysis of Cryptography Encryption for Network Security
Authors: Esther Jyothi V. , Prasad Dr. BDCN , Mojjada Dr Ramesh Kumar 
Published: December 2020

Abstract
In order to secure network and data transmission via a wireless network, cryptography and network encryption is being used. Providing data protection is one of the key aspects of wireless network data transmission. There are sensors in the wireless networks; they are linked to the base station. The need for protection of the wireless network sensor is very critical, and encryption and network security are necessary. Network security includes security for the terminal system as well as for the whole network system. Network security is one of the main concerns as the world transitions into the digital world. Security of the network provides security for administrator managed data. Increasing communication technology also requires safe communication which is met through various encryption techniques such as cryptography, digital signatures, watermarking, steganography and other applications. Cryptography is a technique of encryption used to protect the network, as various networks are related and admire attacks and intrusions. In this paper we discuss the cryptography with its aims, forms and algorithms. Intrusion and computer protection technologies are also used in attack forms.
RETRACTED: Detecting Faults within a Cloud Using Machine Learning Techniques
Authors: Daya Sagar K. V. , Kavitha J , Kadaru Dr. Balabrahmeswara , Venkateswara Rao M. , Kamesh D. B. K. 
Published: December 2020

Abstract
In distributed computing, clients can get to cloud administrations using the web. In present days, in superior registering and cloud frameworks, disappointment is an inexorably significant issue. Alleviating the impact of misfortune and making stable conjectures with excellent lead time stays an overwhelming exploration issue as huge scope frameworks keep on creating in scale and multifaceted nature. Because of the advancing unpredictability of elite figuring frameworks, specific current adaptation to internal failure procedures, for Example, successive registration and replication are not adequate. It includes the significance of having a productive and useful way to deal with disappointment the executives set up to relieve the impacts of disappointment inside the framework. With the approach of AI methods, the capacity to gain from past data to anticipate future personal conduct standards makes it conceivable to foresee potential framework disappointment all the more precisely. Along these lines, in this paper, by applying a few calculations to improve the exactness of disappointment forecast, we investigate the prescient capacities of AI. We have set up an expectation of disappointment. The fundamental analysis that we have Random backwoods (RF), SVM, Classification and Regression Trees (CART) considered). Exploratory discoveries show that comparative with different calculations, the typical expectation precision of our paradigm utilising SVM while foreseeing breakdown is 92% exact and productive. This discovering implies that all likely future device and application disappointments can be viably imagined by our cycle inside.
A Privacy Preserving System for Protecting Cloud Based Health Care Records Using Fine Grade Access Techniques
Authors: Aruna Sri P. S. G. , Anusha M. , Kiran Kumar K. , Sridevi S. 
Published: December 2020

Abstract
Protection of privacy has also received increasing attention in many fields, mainly in the sense of the Individual Health Record (IHR), as cloud computing has become an essential activity in the real world. Traditional encryption of the cypher text policy (CP-ABE) allows you to track the scrambled PHR information policy in a fine-grained fashion. Still, with the cypher text, the access policy is also sent. However, the entry policy does not allow users to be anonymous, as a considerable amount of sensitive information from legitimate users of the app is needed. It is now necessary to protect users [[CHECK_SINGLEQUOT_ENT]] privacy by hiding access methods. The vast majority of previous plans, however, have to address two problems: the first problem is that specific plans do not embrace a broad universe of attributes, so their common sense in PHR is dramatically reduced, and the second is that the decryption cost is very high because the entry mechanism is set up in the cypher paper. This dramatically reduces their usefulness as a result. To solve these issues, we are constructing a CP-ABE plot with sufficient decryption, where together the size of the available limits and the cost of decryption is endless. Also, using the dual system encoding technique, we show that the proposed conspiracies achieve optimum protection in the basic model.
A Novel Cosine-based Internal and External Validation metrics to assess twitter Data Clustering using Hybrid Topic Models
Authors: Noorullah R M , Mohammed Moulana 
Published: December 2020

Abstract
In document clustering labeled and unlabeled documents are organized into a desired number of coherent and meaningful sub-clusters. Topic models are useful in extracting cluster tendency from Twitter-based data document clusters. Evaluating cluster tendency and performance with a reliable metric is one of the unsolved problems in topic document clustering. In the previous study cluster validity metrics have been proposed under Euclidean distance measure, these metrics underperform in topic models when dealing with numerical databases and for large corpus datasets. In this paper, to assess Twitter data clustering a novel cosine based internal and external validity indices used by considering closeness between documents, the lexical similarity and cluster classification metrics for each topic separately using Hybrid topic models. Experimentally proved the effectiveness of cosine based internal and external validity metrics and results compared with Euclidean metrics using benchmark and Twitter-based datasets.
Checking For Identity-Based Remote Data Integrity Cloud Storage with Perfect Data Privacy
Authors: Akarapu Mahesh , Martha Sheshikala , Donthamala Koteshwar Rao , Prashanth B , Sunil G. , Mahender K. 
Published: December 2020

Abstract
The protection of the data maintained on a database system has the benefit that the cloud service creates a dynamic high-order and often a management issue comparable to the security operating costs. Multiple Online Compensation Monitoring Protocols have been developed to date that will pose a key problem to protect the privacy of cloud-based details. The much-needed role of the data servers is to render the data available to the consumer as necessary in the heavy traffic scenario. In this article, we planned privacy security for unavailable data held by the user, and promoted identification by using encryption strategies such as sha1 and sha2 algorithms to improve user data safety. We use zero general knowledge tests against third force Settlers which in effect improve the user data confidentiality. Under-reaching is achieved in our architecture by the use of file cabinet signature tune generating servers that operate in compliance with wirework traffic and attempt to access the less significant traffic wire work with the necessary details. Our strategy has proved to be safe in the face of threats of abuse, supplying the high-security department with identity-based consumer data deposit and improving efficiency by settling well on the server over cloud vehicle traffic. Implies being more directly linked to defensive shell, which often implies being protected which realistic.
Lifting wheelchair for limbless people
Authors: Harshavardhan A , Ramesh D , Pasha Syed Nawaz , Shwetha S , Mohmmad Sallauddin , Kothandaraman D 
Published: December 2020

Abstract
He impaired are denied of all open doors for social and monetary turn of events. They have an absence of essential offices like wellbeing, instruction, and business. One of the crippled classifications is individuals who don’t have appendages. Limbless individuals face numerous issues like moving starting with one spot then onto the next, climbing steps, taking things from the rack or racks, and so forth.
Our task intention is to answer the limbless individuals who are confronting issues in taking the things from the racks at the most extreme stature. We met our locale accomplice concerning this task talked about the issues looked by them. Because they collaborated with their issues, we thought of the most ideal arrangement which comforts and fulfills the client needs. Our item serves the genuinely impeded individuals in the general public in the most effective way.
Secure Deployment of Decentralized Cloud in Blockchain Environment using Inter-Planetary File System
Authors: Mendu Mruthyunjaya , Krishna B , Mohmmad Sallauddin , Sharvani Y , Reddy Ch Vinay Kumar 
Published: December 2020

Abstract
Nowadays, the entire globe with enormous resources is connected using web-based technologies. These integrations are implemented using an advanced network environment and need a higher degree of security and integrity. Most of the people are now using smart gadgets to access the corporate, social, and government services. The smart gadgets are having high performance operating systems including Android, iOS, Windows, Blackberry, Tizen, Lune OS, Kai OS, and many others. With the increase of such platforms, the need for security and integrity arises and because of this, the term “Blockchain” is getting huge prominence for multiple secured services. Blockchain was invented as the decentralised transaction chief of the Bitcoin crypto currency Satoshi Nakamoto was called in 2008 by a individual ( or group of people). Satoshi Nakamoto’s name appears to date uncertain. The blockchain inventor for Bitcoin made it the first digital currency to address the double dilemma without the need for a trustworthy regulator or a central server. This manuscript underlines the assorted features of the Inter-Planetary File System (IPFS) as the advanced implementation for a secured blockchain environment.
Enhanced ANN training model to smooth and time series forecast
Authors: Shaik Mohammed Ali , Verma Dhanraj 
Published: December 2020

Abstract
In the present era most of the researchers has done extensive research in forecasting the time series data using distinct “linear, nonlinear and hybrid linear models” that combines models like “Auto Regressive Integrated Moving Average (ARIMA)” using “Artificial Neural Networks (ANN)” by combining the “Time Series Forecasting (TSF)”. In this paper we proposed a new algorithm which will smooth the data and evaluate the error rate to obtain time series predictions by considering Telangana state rainfall dataset. Our experimental illustrations propose that the results attained are statistically promising with the datasets that are used for generating the acceptable prediction result set.
A Comparative Study of Interrupted Secondary User Buffer Mechanism with No buffer mechanism for Cognitive Radio Networks
Authors: Prasad B. B. V. Satya Vara , Kumar M. Ramesh , Kumar K. Kiran , Yadav Arvind 
Published: December 2020

Abstract
Cognitive Radio Networks is the focused research area where optimal usage of resources takes place. The spectrum scarcity is cause for searching new techniques to serve resources to the users other than privileged (primary) which are called as Secondary users. By using interleaving paradigm, the secondary users also served the license bands without interrupting Primary users. While serving the Secondary users, the preemption of secondary users takes place because of high priority of Primary users and they have to leave the system if no buffer is provisioned for the interrupted secondary users. The focus of this research paper is to compare the impact of keeping a buffer to hold the interrupted Secondary users with the case of providing no buffer in the System. A comparative study reveals the necessity and role of the buffer in the System for the provision of better service to Secondary users. The main focus of this paper is the consideration of the system performance with and without the buffer mechanism for interrupted secondary users and this scenario is modeled as M/M/C/K analytical queuing model. The differential difference equations are derived for both the cases and based on these equations, performance metric average queue length and waiting time are calculated. Finally numerical illustrations are carried out for different values of primary, secondary user arrival rates, service rate, buffer size and number of channels. The analytical results are presented through tables and graphs were shown to draw the conclusions.
Women Wellbeing Assessment in Indian Metropolises Using Machine Learning models
Authors: Yadav Bonthala Prabhanjan , Sheshikala M. , Swathi N , Chythanya Kanegonda Ravi , Sudarshan E 
Published: December 2020

Abstract
In recent times, women working in many metropolises have experienced harassment and nuisance in civic places. In this regard, the research centers taking place the responsibility of social media in endorsing care of these sensitive cases in indian metropolises with exceptional reference to Twitter, Facebook and Instagram platforms. This paper makes special efforts to understand how the sense of responsibility in indian society can advance the safety of these women around us.