Volume 10 Issue 04, July 2022

A Survey on Machine Learning Methods for Heart Disease Prediction

Amit Kumar Gupta, Prof. Bhavana Gupta

Page no:01-04


The healthcare field is usually the diagnosis of the disease. The healthcare environment comprises an enormous amount of data, such as clinical information, genetic data, and data generated from electronic health records (EHR). In case, Machine learning, Data mining and deep learning methods provide the methodology and technology to extract valuable knowledge for decision making. Heart disease (HD) is one of the cardiovascular diseases of the heart and blood vessel system. Extensive research in all aspects of heart disease (diagnosis, therapy, ECG, ECHO) has led to the generation of vast amounts of data. The disease is diagnosed earlier, and many lives might be rescued. The present study aims to conduct a systematic review of the applications of machine learning tools in the field of Heart disease research concerning Heart disease complications, prediction, saving time and diagnosis. As heart disease is usually the most recognised killer in the present day, it might be one of the most challenging diseases to diagnose. Our study’s main aim is some recent works related to the usage of machine learning in predicting heart-related disease. This review forms the basis of understanding the complexity of the domain, tools and techniques employed by the researchers and the amount of efficiency achieved by the various methods recently.

Enhanced Reversible Data Hiding in Encrypted Image Based on Two-Layer Pixel Errors Block Histogram Method and EFRBSM

Arunendra Pandey, Santosh Kumar, Seema Shukla

Page no:05-10


Enhanced reversible data hiding in encrypted image based on two-layer pixel errors block histogram and error-free reversible bit shifting method (EFRBSM). Error-free reversible bit shifting method to reversible the marked media back to the initial cover media when the hidden information was extracted. Information security and information integrity are difficult in image processing areas, and several types of research are progressing in the sector, like web security. The necessity of secure transmission of knowledge is very important in our life. Image transmission is one in each application that must be securely transmitted over the unfaithfulness network. This approach consists of dividing the image into blocks and applying the existing process to each block in a recursive manner. Simulations of the procedure show that the histogram of the transformed image exhibits a uniform shape and its pixels have a low correlation with their neighbours. Image data convert into a histogram, and secreted data is also converted into a histogram. Both are embedded into an encrypted image histogram. Two-layer pixel errors block histogram method in the encrypted image is a powerful technique for the security of .data formation concealing in scrambled pictures gives twofold security to the information, for example, picture encryption and information stowing away. The two-layer pixel blunders block histogram strategy contains a few issues, so they need to eliminate the issues by joining lossless and reversible procedure implies, information extraction and recuperation of picture are mistake-free. Error-free reversible information hiding in an encrypted image supported two-layer element errors based on block histogram method is low PSNR in particular, the existing scheme divides the initial image data into a sequence of non-overlap blocks, permutes these blocks. In the existing scheme, the histogram of two-layer adjacent encrypted element errors to insert secret information by histogram shifting and generate a marked histogram encrypted image, the information embedded is and also extracted data with error. Our proposed unique method (EFRBSM) termed reversible information activity like improving PSNR and reducing MSE.

A Survey on DSR Based on Link Capacity and Queue Optimization in MANET

Subhasini Sharma, Neetesh Kumar Gupta

Page no:11-14


Wireless ad-hoc network is becoming one of the most animated and dynamic communication fields. Because the moveable devices and wireless networks have increased significantly in recent years, Mobile ad-hoc network (MANET) uses wireless connections to connect to various networks. There is a number of issues and challenges in MANET. An ad hoc network is an assortment of wireless mobile nodes dynamically forming a transitory network lacking the use of any presented network communications or centralized management. A number of routing protocols like Dynamic Source Routing (DSR), Ad Hoc on-Demand Distance Vector Routing (AODV), and Temporally Ordered Routing Algorithm (TORA) have been projected. In recent years, research on advancing the performance of mobile ad-hoc networks (MANETs) has attracted the special attention of scientists worldwide. In a dynamic network environment like MANET, routing protocols play a particularly important role in improving the overall network performance. MANETs have demonstrated outstanding capabilities and abilities in various fields serving humanity, such as healthcare, intelligent transportation systems, smart agriculture, smart retail, and IoT ecosystems. Our primary focus will be proposals for high achievable network performance and energy efficiency. In this paper, we surveyed various issues involving the QoS effect in the network with routing protocol and various performance metrics, analyzing the network’s performance and increasing the MANET’s performance.