MIT-World Peace University (MIT-WPU) is a top educational institute located in Pune, India. It is recognized within&nbsp;UGC under Government of Maharashtra Act No. XXXV 2017.&nbsp;

It is part of the MIT group of institutions (established in 1983) which covers 10+ campuses across India and has more than 50,000+ students enrolled across various disciplines at a given point of time. The institute houses 15 schools ranging from Engineering &amp; Technology, Design, Pharmacy, Commerce, Governance among others. It offers undergraduate, postgraduate and PhD programs among different disciplines.&nbsp;

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MIT World Peace University

School of Computer Engineering & Technology

The aim this paper is to make the trader’s life easy with all kinds of exploratory data analysis and to bring the forecast with the deep learning model. We have used a different kind of analysis to come to a point on which we have built a model completely based on long short-term memory and recurrent neural network. We have also performed different types of graphs to explain the trend of the company user searches. The trend is a line graph depicting years and months based on user selection. Since forecasting has highly emerged, there has been a lot of research on this topic. The stock market is always the scientist’s favourite category to show their skills. This paper attention on the analysis and prediction of stock values that do not take care of party-political tenures, and financial tension which disturbs the stock market. This model will assist a stockholder, distinct user or the general public to make protected investments. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

World University root node

Engineering and Technology

Lecture Notes in Networks and Systems

Stock Market Prediction Using Recurrent Neural Network and Long Short-Term Memory

A Survey: Extraction of River Networks from Satellite Images

Early prediction of Alzheimer's disease and related Dementia has been a great challenge. Recently, preliminary research has shown that neurological symptoms in Covid-19 patients may accelerate the onset of Alzheimer's disease. With such a further rise in Alzheimer's and related Dementia cases, having an early prediction system becomes vital. Speech can provide a non-invasive diagnostic marker for such neurodegenerative diseases. This work mainly focuses on studying significant temporal speech features extracted directly from the recordings of the Dementia bank dataset and applying Machine Learning algorithms to classify the Alzheimer's disease related Dementia Group and the healthy control group. The result shows that Support Vector Machine outperformed other machine learning algorithms with an accuracy of 87%. Compared to prior research, which used manual transcriptions provided with the dataset, this study used audio recordings from the Dementia bank dataset and an advanced Automatic Speech Recognizer to extract speech features from the audio recordings. Furthermore, this method can be applied to the spoken responses of subjects during a neuropsychological assessment. © 2023, Ismail Saritas. All rights reserved.

International Journal of Intelligent Systems and Applications in Engineering

Automated Prognosis of Alzheimer’s Disease using Machine Learning Classifiers on Spontaneous Speech features

Blockchain architecture is a promise of finality and non-repudiation. It has distinct advantages over the traditional client-server or distributed systems, which have made various organizations explore use cases where blockchain can be applied. This chapter explores the key nuances of the blockchain architecture. It begins with an overview of the hash functions, hashing and how it plays an important role in blockchain architecture. While blockchain is well known as a P2P architecture, the chapter explores other aspects of the blockchain architecture, which are responsible for the strength of the blockchain. The chapter presents a deep dive into the block structure, use of Merkle trees for transactions and the blockchain structure. The power of decentralization, the built-in redundancy in the blockchain architectures and how it helps establish a trustless system is explained. It presents the challenges of distributed consensus and how they are dealt with via various consensus algorithms in the blockchain architecture. The chapter ends with a sample use case discussion of Maintenance and Service Supply Chain over a permissioned blockchain architecture using Hyperledger framework.

Blockchain for Smart Systems - Computing Technologies and Applications

Basics of Blockchain Architecture

Ocular disease is an eye disease that reduces the eye’s ability to work normally. Early ocular disease detection is important to avoid blindness caused by some of the diseases like cataracts, glaucoma, diabetes, age-related macular degeneration (AMD), etc. Artificial intelligence (AI) techniques have been used to build systems for the speedy diagnosis of such diseases. In recent years, the deep neural network (DNN) has shown remarkable success in this area. But the black box nature of such systems has created questions on the use of DNN in a high-risk system like health care. Explainable AI (XAI) is a suite of methods and techniques that provides explanations of predictions made by AI systems. This helps to achieve accountability, transparency, and debugging of the model in the healthcare domain. In this paper, we have proposed to develop an ocular disease classification model and an XAI method that can be used to explain the classification of eye diseases, from eye fundus images.

Explainability of Deep Learning-Based System in Health Care

With increase in use of technology along with new inventions, consumption of energy required is increased in exponential manner. In recent development of communication infrastructure in smart grids, it leads to new issues in physical power system related to cyber security. In traditional ways to handle cyber-attacks on power system, it generally involves separation of cyber domain and physical domain. Therefore, it is very important to have unification of cyber and physical power system. So to handle these issues, cyber physical power system (CPPS) is introduced. The CPPS mainly consists of core physical power system tightly integrated with cyber system. The purpose of CPPS is to monitor and control the smart grids efficiently and reliably. CPPS consists of various phases such as power transmission, power generation, power distribution, utilization of power, supervisory control and data acquisition system (SCADA), and utilization of power. These phases in smart grids are prone to cyber-attacks so it is important to summarize, analyze, and monitor cyber-attack methods on CPPS for the defense against different cyber-attacks. In this paper, we provide a comprehensive review of different kinds of cyber-attacks on physical power system phases. Also, paper analyzes various scenarios of cyber-attacks on systems and equipment such as SCADA system, smart meters, and communication system. Finally, according to several characteristics of cyber-attack methods, some preventions and detection methods are presented.

Fulltext

International Conference on Communication, Computing and Electronics Systems

Review of Cyber-Attacks on Smart Grid Systems

Fake news has become a significant problem in today's online world. Misinformation is easily propagated through online social media platforms. It is essential to curb the spread of fake news. Blockchain has provided a framework for tamperproof and traceable data, and can therefore be used for developing a news platform. Applying blockchain technology to news tracing has formed the groundwork for supressing the spread of fake news. However, the scale of online platforms and the characteristics of blockchain add several new challenges that hinder the real world deployment of such solutions. This study reviews various blockchain based methods that combat the spread of fake news on online platforms and discusses the challenges faced in realizing such solutions.

2022 International Conference for Advancement in Technology (ICONAT)

Blockchains to curb Fake News in an Online World

Blockchain is incredibly emerging technologies in today's world. Now a days major issue faced by educational system is regarding fake documents, certificates. There are so many cases registered for the duplication of documents and all those cases go unnoticed. In this blockchain based system information stored is immutable it means it cannot be manipulated. Even if some attacker tries to manipulate the information present in the blockchain then hash value of the block gets changed. So, for this attacker has to recalculate the hash for the all the blocks in network, which is next to impossible. Thus, documents storage in blockchain provides high level security for the same. In this paper we have included various existing approaches for document security using blockchain platform and its benefits and limitations are also included so that one can get proper idea to rework or enhance the existing work with more advance technique. Also, we have highlighted problem of document storage and security enhancement issue in blockchain network.

Techniques of Securing Educational Document using Blockchain and IPFS based System: A Review

Fetal heart rate (FHR) monitoring is done for accessing fetal wellbeing during antepartum and intrapartum phases. Although noninvasive fetal electrocardiogram (NIfECG) is a potential data acquisition method for FHR, extraction of fetal electrocardiogram (ECG) from the abdominal ECG (aECG) is one of the major challenging research areas. This chapter proposed and assessed a method suitable for single channel based on principal component analysis (PCA) for extracting fetal ECG. Maternal R peaks and fetal R peaks were detected using Pan Tomkins algorithm (PTA) and improved Pan Tomkins algorithm (IPTA), respectively. Performance of fetal QRS detection is assessed using two open-access databases available online. The method shows satisfactory performance when compared with similar methods and makes it suitable for using a single channel system.