Volume 11 | Issue 5 |

 Abstract

The current Automated Teller Machine (ATM) system relies on the use of ATM cards and Pin Identification Numbers (PINs) for authentication. However, this method is prone to various security threats such as theft of ATM cards, skimming, and the Lebanese loop, which compromise the security of users' financial information and funds.To address these issues, we propose a new system that utilizes face recognition technology for authentication instead of traditional ATM cards. The system combines facial recognition with the use of a PIN, providing a more secure and reliable method of accessing one's bank account.

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 Keywords

CNN,ATM,Camera

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The spread of IoT applications in recent years has supported the development of smart cities. A smart city leverages Internet of Things-enabled technologies, communications, and applications to maximize operational efficiency and improve the quality of services provided by his providers as a result of the health and well-being of people. However, as smart city networks grow, so does the risk of cyber threats and attacks. In a smart city network, sensors connected to massive cloud servers are connected to his IoT devices and exposed to threats and malicious attacks. Therefore, it is imperative to protect the Internet of Things from failures and thwart attacks. This study explores machine learning (LR, DT, RF, and MLP) based attacks and detection methods to mitigate and counter IOT cyber security risks in smart cities. The proposed technique is highly effective in detecting cyber-attacks, and the Stacking Ensembles model outperforms comparable models in terms of accuracy, precision, recall, and F1 score, making it a promising candidate in this field. It further proves the sex.

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 Keywords

Smart city; Internet of Things, cyber security, cyber-attacks, machine learning, Random Forest, Linear Regression, Multi layer Perception, Decision Tree

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 Abstract

Modern physics-informed neural networks (PINNs) will be examined and evaluated from many academics' points of view in this study. Through a focused keyword search in the Scopus and Web of Science databases, 120 research publications from the computational sciences and engineering sector were specifically categorized using the PRISMA framework. Through bibliometric analysis, we have determined which journals have the most publications, which authors receive a lot of citations, and which nations have the most articles on PINNs. Some recently developed strategies that aim to improve PINN performance, lower slowness and high training costs, among other drawbacks, have been noted. To get over PINNs' drawbacks, many strategies have been developed. In this review, we categorized the newly proposed PINN methods into Extended PINNs, Hybrid PINNs, and Minimized Loss techniques. Various potential future research directions are outlined based on the limitations of the proposed solutions.

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 Keywords

physics-informed neural networks (PINNs); partial differential equation (PDE); loss function; activation function; deep learning.

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 Abstract

Loki, from the Marvel Cinematic Universe, is one of the most captivating and intriguing characters to have ever graced the big screen. His character is one that straddles the line between hero and villain. This paper attempts to read Loki through the lens of psychoanalysis by examining Loki's motivations, actions, and personality traits and exploring how they align with Karen Horney's Theory of Neurosis. Through a Horneyan perspective, the paper analyses the neurotic patterns that can be identified in Loki's behaviour, such as his need for power, his need for approval, and his feelings of inferiority. The study considers the impact of external factors, such as Loki's troubled upbringing and his relationship with his adoptive family, on his neurosis. The purpose of this research is to illuminate the psychological motivations and conflicts that underlie Loki's actions and provide insights into his nuanced personality.

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 Keywords

Loki, Psychoanalysis, Neurosis, Karen Horney, Marvel Cinematic Universe

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 Abstract

Earthquakes cause massive damage to people and structures. The capacity to quickly assess damage over a large area is critical for successful disaster response. In recent years, social networks have proven to be a great capability to increase situational awareness and identify affected areas. In this context, this paper presents a method for assessing damage levels in earthquake zones utilizing social media data and the Naive Bayes, Support Vector Machine (SVM), Random Forest, and BERT classification algorithms. In order to compare different machine learning models in this study, we utilized our post-earthquake damage classification dataset consisting of Turkish Tweets, which we prepared and labeled for the problem. Identifying damaged structures from Turkish tweets after the earthquake is the first step of the solution which we propose. For spatial analysis, we need to extract the address information of the damaged structures from the tweets. Therefore, in this paper, we use Named Entity Recognition for address extraction and fine-tune the pre-trained BERT model with our own compiled detailed address detection NER dataset. Finally, in order to make disaster response more successful and effective, we obtained the latitude and longitude of damaged structures in the earthquake zone by obtaining the geographical coordinates of the addresses using the geocoder API, the address information obtained with the help of the NER model. Thus, rescue teams can intervene more effectively and increase their success rates.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Social media, Twitter, Machine Learning, BERT, Named Entity Recognition (NER), Data Mining, Geocoding

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The North-Eastern region of India is marked by diverse cultural roots, multiple belief systems, and rare sub-species of flora and fauna. Majuli is the center of medieval culture of the Brahmaputra Valley. The ideology of Neo-Vaisnavism and the sect of Bhakti was the driving force behind the culture. Inheritance Direct support of a Hindu monastery as a Sattra name led to the development of the Bhaona performance and the mask culture. This movement led society, renewed it through art and culture and most importantly through spiritual activity. Masks and the mask performance was developed under the patronage of Sattra. This is one of the key elements that convey the spiritual feelings and identity of Srimanta Sankaradeva for the people. Spreading the Bhakti Cult Ideology in medieval society is the main goal of Bhaona's activity. So this movement is no longer a cultural movement or spiritual beliefs, but it has become a way of life. This paper investigates the distinctiveness of using Mukha (masks) to bridge the gap between the visible world and the world of materialism.

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 Keywords

culture, spiritual, Srimanta Sankaradeva, mask, mukha, bhaona, sattra, majuli

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The proposed system aims to solve the problem of autherization and to check if the given party i.e. NGO in our case if that is a legitimate organization or not. The authorization process includes a various steps for checking of the NGOs. First it will check for the registration of NGOs, to see if they are registered with government. It is the DARPAN website of government where NGOs have to registered themselves. As we know that any form of organization which runs a business they require a PAN. So if you're running a NGO you need a PAN. NGO not just being a non profit organization it also gets various donation over many places and to authorize those donation we need a tax exemption certificate which is (80G). 80G is a certificate that exempts you part or fully from paying taxes, if you have made donations to charitable trusts or section 8 company or organizations that are registered to offer you exemptions from taxes. For donation processes we're going to use Android Studio and Firebase to authenticate with Machine learning for Image processing to authenticate documents.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

NGO, Authorization, Tesseract OCR

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Glass fiber, cementitious, GRC, Construction.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The government of India want doubling of farmer's income. Collectivizing farmers into Produce Organization (POs) has been considered as one of the way to identify opportunities and to overcome the challenges faced by the small and marginal farmers. This approach is demonstrating the potential to be more successful in breaking farmer's dependency on intermediaries and enabling them access better markets. Total 72 farmers and 20 market players were studied. As the FPOs move towards expending their business operations under taken, business activities carried out and production of different crops etc. were identified. Further, this paper attempts to examine the issues like as lack of professional management, weak financials, Inadequate access to credit, lack of risk mitigation mechanism, inadequate access to market, inadequate access to infrastructure and lack of technical skills.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

FPOs, Farmers, challenges, Pos, SFSCs and NABARD

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Creative Commons Attribution 4.0 and The Open Definition

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Just a few years ago, divorce in the Indian context was considered one of the few social phenomena. As society took on a new form due to modernization and technological advances, the rigid boundaries that defined traditional Indian life began to be replaced by a new worldview and way of life. This provided the impetus when women entered the workforce, which increased gender inequality due to women's changing status. Furthermore, the evolution of the demographic context from rural to urban or metropolitan lifestyle, the shift from multi-generational family to nuclear family, and the choice of spouse versus arranged marriage are characteristic of the changed scenario in India. In modern society, the dissolution of a marriage is based on the belief that living alone is better than maintaining the marriage personally.This article discusses issues and concerns related to weddings due to the changing socio-cultural life scenario, explosion of technology through social media and other forms of media, Western influence, etc. that have undermined the sustainability of marriages in India. The purpose of this study is to examine current trends in divorce. The aim is to understand the sociocultural factors that influence divorce rates and to suggest possible strategies to reduce or resolve family divorce problems. In this study, 50 men and 50 women were examined in detail

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Impact, Law, Divorce, Unification

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Creative Commons Attribution 4.0 and The Open Definition