Reviewerly/exHarmony huggingface dataset:
Complete and Intensive Review on AI System

According to many, science will manage in developing artificial intellectual ability with current abilities within the following ten to hundred generations. The chance still exists that such a mission will be carried out by a sole innovator or a little group of scientists despite the fact that it's most likely to be performed by a government department or a major enterprise. In this essay, we discuss the issue of preserving a breakthrough that is unquestionably worth a billion dollars. We notably provide a technique to demonstrate the existence of a truly intelligent machine with disclosing the technology itself, using a mix of trustless arguments with verifiably Intelligence CAPTCHA Puzzle.
Resources in IoT Through Bctechnology

With the exponential rise in IoTapplicationit difficult to keep up with the demand for services with lower latency, higher bandwidth, easier accessibility, and advanced intelligence. To meet such demand the distributed and decentralized computing architectureisproposed. Edge-centric computing resources don't need to be managed by a distant but centralized third party can managed locally and individually. However, because to a lack of trust between IoT devices and , obstacles (ECNs). The trust-absence issue can be effectively resolved by a blockchain, which is a decentralized, trustless, and immutable public ledger. discuss the concerns associated with we outline the main features of blockchains that make them ideal for edge-centric IoT applications. In addition, we offer a broad architecture that outlines the sequential steps required to complete for scenarios based on blockchain and edge computing that enable IoT. Additionally, to demonstrate how artificial intelligence (AI) and blockchains may function together, we create a We also go through the advantages of blockchains and AI coming together. The simulation's findings are then displayed.
Human Voice Artificial Intelligence in Education, Illustrate and Prospective Possibilities

One use of artificial intelligence is natural language processing (NLP). Voice assistants are able to have conversations with individuals in their native language and include AI by using cloud computing. Voice assistants are now included into millions of different consumer products due to the ease with which they may be used. Voice assistant-enabled smart speakers are among the most popular consumer electronics devices now available, but universities and other types of organizations have just lately started using them. The purpose of this paper is twofold: first, to offer a review of previous research on speech recognition in the classroom, and second, to provide fresh discoveries.
Implementation Of Blockchain Technology In Business Transformation And Its Impact On The Current Scenario

Blockchain and related advances guarantee complex applications which could reduce this strain; however, the reception might be hampered by the lack of scholarly writing reporting existing use cases and the examples gained from them. This contextual investigation looks at a policy management use case which was started by the state legislature of different nations. Numerous significant examples have been learned in quest for the fundamental venture objective of smoothing out the complex authoritative cycles encompassing the matter of building and changing cell towers. Taking advantage of the maximum capacity of blockchain requires a total re-evaluating of public administration, yet holds the potential for a less fatty and more help-situated organization that restores resident confidence in open foundations. In any case, a few drawbacks likewise arose, which feature explicit constraints of blockchain advancements. In this paper, we apply a solitary contextual analysis approach and determine a few prescribed procedures in view of the examination of subjective meetings and rich venture documentation.
Securing International Law Against Cyber Attacks through Blockchain Integration

Cyber-attacks have become a growing concern for governments, organizations, and individuals worldwide. In this paper, we explore the use of blockchain technology to secure international law against cyber-attacks. We discuss the advantages of blockchain technology in providing secure and transparent data storage and transmission, and how it can enhance the security of international law. We also review the current state of international law regarding cyber-attacks and the need for a robust and effective legal framework to address cyber threats. The study proposes a blockchain-based approach to secure international law against cyber-attacks. We examine the potential of blockchain technology in providing a decentralized and tamper-proof database that can record and track the implementation of international laws related to cyber-attacks. We also discuss how smart contracts can be utilized to automate compliance with international laws and regulations related to cybersecurity. The study also discusses the challenges and limitations of using blockchain technology to secure international law against cyber-attacks. These include the need for interoperability between different blockchain networks, the high energy consumption of blockchain technology, and the need for international cooperation in implementing and enforcing international laws related to cybersecurity. Overall, this study provides a comprehensive overview of the potential of blockchain technology in securing international law against cyber-attacks. It highlights the need for a robust legal framework to address cyber threats and emphasizes the importance of international cooperation in implementing and enforcing international laws related to cybersecurity.
A Multi-Objective Decision Assistance System for Selecting Security Controls Based On Simulation

In this work, we present the results of our continuing investigations into simulation-based risk analysis for information security and multi-objective investment optimization for security controls. We provide a methodological approach that takes into account the organization's features, information architecture, assets that must be safeguarded, unique threat sources encountered, and decision-makers' risk preferences. This framework includes dynamic attack graph generation techniques, ontological modelling of security knowledge, probabilistic reenactment of assaults by objective driven danger specialists, Identification of compelling arrangement of data security controls utilizing meta-heuristics, and intuitive choice help. These components make it possible for cutting-edge techniques to generate attack graphs and infer potential attack routes based on the motivations, goals, skills, and available entry points of attackers, Then, using this inferred information, simulate assaults based on the infrastructure a model of an organisation. The strategy aids decision-makers weigh financial and non-financial factors related to risks, costs, and benefits when assessing possible security control initiatives. In order to assess the strategy through application case studies, we are now constructing a prototype implementation of the framework.
A Detailed Review and Study of Implementation of Security System Design for Machine Learning-Based Software Systems: Issues And Challenges

The rapidly growing technology specially in the field of software, Machine Learning (ML) has played an important role in a range of tasks, including voice, video, and computer vision. It is currently being utilised in software systems to automate the crucial processes more and more. Machine learning-based modern software systems (MLBSS) are currently difficult to build safely, which will severely limit the uses in security and safety-critical domains. Recently, majority of articles are published and still research work is going on the safety problems for ML and Deep Learning (DL), which place a strong prominence on the models and data both, adversaries’ threats have been taken into consideration. In this paper, we address the prospect that system bugs or external adversarial assaults might lead to security vulnerabilities for machine learning-based software systems, and we propose that safe development techniques ought to be applied throughout the whole lifecycle. We conclude by providing a thorough study of the security for MLBSS, which includes a comprehensive analysis based on a review of the structure of three distinctive features in terms of security issues. The entire state-of-the-art for MLBSS secure development is also provided.
A Critical Analysis of Applying Computer Vision In Building an Intelligent System

The terminology "computer vision" refers to the method that leverages technologies of intelligent systems such as artificial intelligence (AI) to enable computers to gather useful information from visual sources. The automated activities are demonstrated previously using computer vision understanding. The definition, examples, as well as uses of computer vision, are covered in this article. For computer vision to be totally successful there must be a huge collection. When they lack the knowledge required to execute the task at hand, these systems periodically discover trends, which cause this to occur. Hence, the research has evaluated the notion of computer vision in diverse fields of operations through the literature review as well as in the analysis and discussion portion of the study. Since the literature review and data analysis of the research is done through secondary sources, an imperative notion of review has been gathered and presented. Therefore, the significance of computer vision in assembling intelligent systems like AI and other new technologies has given discussed in the research.
Apply Deep Learning-based CNN and LSTM for Visual Image Caption Generator

Implemented Image captioning is becoming a need. Deep neural network models enable integrated applications to generate and caption images. Image captioning describes an image. It requires identifying an image's main objects, properties, and relationships. It produces correct sentences. The creation of image caption generators, which examine the content of an image and offer pertinent descriptions, makes use of deep learning and computer vision techniques. One element of this method involves classifying objects in the image using English keywords derived from training datasets. The caption generator was created by combining LSTM and CNN. In this paper, we propose a deep-learning model that uses computer vision and machine translation to characterize images and generate captions. The model successfully recognizes and labels visual items and their relationships. Transfer Learning will be used to demonstrate the suggested experiment, coupled with the Flickr8k dataset and the Python3 programming language. This study will also look into the functions and construction of neural networks. The proposed model achieves a BELU Score of 69.8.
Supply Chain Management Growth With the Adoption of Blockchain Technology (BoT) and Internet of Things (IoT)

Globalization has posed many threats to managing supply chains and logistic networks. Blockchain technology and Internet of Things have outlined budding for answering global Supply Chain Management (SCM) issues. It is a distributed digital ledger platform that renders transparency, traceability, and security. This paper significantly analyzes 140 IT experts of BoT and IoT managers working in supply chain management. Smart PLS is employed, and the proposed model offers improved transparency, efficiency, security, and traceability, enabling faster decision-making, enhanced operational performance, and better collaboration among supply chain participants. As organizations increasingly recognize the benefits of BoT and IoT, we can expect to see widespread adoption and continued innovation in SCM. It is suggested that future study proposals and methods might suggest insights into overcoming supply chain obstacles.
The Role of Smart Contracts in Cryptocurrency-Based Project Management

The growing popularity of cryptocurrency and blockchain technology has resulted in the creation of smart contracts and self-executing. In this research paper, we explore the role of smart contracts in cryptocurrency-based project management. The study aims to provide insights into how smart contracts can improve the transparency, accountability, and efficiency of project management in the cryptocurrency domain. The paper presents a comprehensive overview of the design and implementation of smart contracts in various cryptocurrency projects and the challenges and benefits of their use. The study includes a case study analysis of several cryptocurrency projects that have successfully employed smart contracts to manage their project activities. The findings indicate that smart contracts can enhance the transparency and trust among project participants and can also automate the process of project management, reducing the risk of errors and fraud. The paper concludes by highlighting the potential of smart contracts to revolutionize the way cryptocurrency-based projects are managed.
Technical use of Smart Contracts in Blockchain-Based Project Management

Smart contracts have emerged as a key element in blockchain technology, offering a new paradigm for managing projects and executing transactions in a decentralized manner. This article explores the role of smart contracts in blockchain-based project management, highlighting their potential to streamline processes, reduce costs, and increase transparency and trust among stakeholders. The article analyzes the benefits and limitations of using smart contracts in project management and provides insights into the various use cases and applications of smart contracts, such as decentralized autonomous organizations, supply chain management, and project funding. Additionally, the article discusses the challenges and risks associated with smart contracts, including security, scalability, and regulatory compliance. Overall, this article provides a comprehensive overview of the role of smart contracts in blockchain-based project management and its implications for the future of the industry.
Protecting Online Transactions: A Cybersecurity Solution Model

The increasing reliance on online transactions and e-commerce platforms has increased cybersecurity threats, putting businesses and individuals at risk of data breaches, theft, and other malicious attacks. This study proposes a cybersecurity solution model to protect online transactions and mitigate the risks of cyberattacks. The model emphasizes the importance of OTP verification and password protection as protective measures to secure transactions. The study highlights the different types of cybersecurity threats faced by e-commerce platforms, including debit or credit card fraud, data misuse, and vulnerabilities in electronic payment systems. Human errors can also increase the risk of cyberattacks, making it crucial for businesses to implement security measures and strategies to prevent and mitigate cyber threats. The proposed cybersecurity solution model emphasizes the need for a multi-layered security approach, incorporating technologies such as firewalls, antivirus software, and encryption. Additionally, the model recommends regular security audits and employee training to raise awareness of cybersecurity risks and promote best practices. The study concludes that businesses and individuals must take proactive steps to protect their online transactions and safeguard against cybersecurity threats. By implementing the proposed cybersecurity solution model, businesses can mitigate the risks of cyberattacks and ensure secure online transactions, promoting trust and confidence in e-commerce platforms.
The way to implement Cryptocurrency for International Payments and Remittances

The use of cryptocurrency for international payments and remittances has been a topic of increasing interest in recent years. Cryptocurrencies, such as Bitcoin and Ethereum, have the potential to reduce transaction costs, increase transaction speed and provide financial inclusion for individuals and businesses that are currently unbanked or underbanked. The research aims to explore the current use cases of cryptocurrency for international payments and remittances, as well as the challenges and opportunities that arise from their adoption. The research will also investigate the regulatory landscape and its impact on the adoption of cryptocurrency for international payments and remittances. The research will be conducted through a combination of literature review and case studies of existing cryptocurrency payment and remittance services. The findings of this research will provide insights into the potential of cryptocurrency as a viable alternative to traditional payment and remittance methods and inform the development of policy and regulation in this area.
Blockchain Systems and Applications: Evaluating the Opportunities of the Blockchain Technology in Various Industries

Blockchain technology is now viewed by many companies and industry communities as a technological solution and an active area of research. Blockchain can provide new chances and advantages to enterprises through greater efficiency, decreased costs, higher integrity and transparency, improved security, and enhanced traceability due to its decentralised and trustworthy nature. increase. While we see the majority of blockchain applications in the financial and banking industry, we are increasingly seeing experimentations and projected applications in other industries. In this white paper, a description of blockchain technology is given. It enumerates all the essential features, design components, and advantages that make blockchain a fantastic and distinctive technology. We also go through a taxonomy of blockchain systems and the most popular consensus protocols. This whitepaper also explores blockchain-based applications in various industries, namely finance, insurance, supply& chain management, energy, media & advertising, real estate, and medical sector. We will analyze the key issues facing the sector as well as blockchain based solutions and their implementation. The study identifies three major drawbacks of blockchain technology: scalability, security, and regulation, and portrays howsuch issues affect the use and adoption of blockchain technology.
A Case on Decentralised Use of Blockchains

In recent decades, the technological landscape has experienced a significant transformation, necessitating the development of more robust and effective digital security measures. This scenario is a prevalent application of blockchain technology. The technology facilitates peer-to-peer resource exchanges without the need for an organised authority to oversee and manage the process, utilising a mesh topology. The system operates through the integration of multiple techniques such as encryption, validation protocols, and user verification. The aforementioned solutions facilitate the establishment of a system that enables facile documentation of role in decision-making, thereby affording an additional stratum of protection. The topic at hand pertains to the protective or disclosing attribute. Cryptocurrencies have significantly altered the perception of corporate operations with respect to candour and decentralised management. Blockchain technology has not only laid the groundwork for the cryptocurrency sector, but also holds the potential to transform various sectors such as healthcare, finance, government aid, and education. Its impact on global economics has been significant. The aim of this study is to investigate the topology of the bitcoin protocol, including its properties such as anonymity, concealment, and transparency. Additionally, this research will examine the various fields in which blockchain technology can be applied to address contemporary issues.
The Impact of the Metaverse on Organizational Culture and Communication

A new idea called the "metaverse" depicts a virtual environment where users may interact, communicate, and do business in a completely immersive setting. Organizational culture and communication are anticipated to be significantly impacted as the metaverse develops and becomes more extensively used. The goal of this study is to examine how the metaverse affects corporate culture and communication by examining the existing research on the subject and carrying out novel research. According to the literature study, the metaverse has the potential to alter how companies’ function by fostering more social engagement, cooperation, and communication as well as opening up new possibilities for distant work and virtual events. These results were backed by the findings of the original study, which also demonstrated that the metaverse had a beneficial effect on company culture and communication. The findings imply that in order to take advantage of the potential presented by the metaverse, companies need actively be ready for the changes it will bring about.
Single-Shot Image Recognition Using Siamese Neural Networks

Generating useful characteristics for machine learning algorithms may be quite pricey operationally & can be challenging in some cases instances wherein there is a lack of information. The one-shot learn context, in that we should accurately anticipate provided just an unique sample of every fresh category, is a classic illustration of it. In this study, we investigate a technique for training Siamese neural nets, which use a special framework to prioritize input similarities. When one net has been trained, we may next take advantage of strong exclusionary characteristics to extend the program's prediction capacity to completely fresh categories with uncertain probabilities as well as fresh information. With a convolutional structure, researchers are capable to provide robust outcomes that are superior to similar deep learning systems that operate almost at the cutting edge on one-off categorization problems.
Blockchain Technology Implementation In Various Governance Domains: A Systematic Review Approach

Technological integration in various fields yielded the proponents of the Internet of Things that matured the concept of Blockchain. This Blockchain technology is an emerging path for a decentralized economy, secure transactions and proposing transparency in vast aspects of business points and activities. The success of the implementation of novel technology relies on the acceptance and usage behavior which in return orchestrates the enablers and barriers of implementation. This study aims to understand the implementation of Blockchain in different domains through acceptance mechanisms that were overlooked in previous literature. For this purpose, numerous studies on the acceptance and adoption of Blockchain are considered to investigate the vital factors and aspects that support the implementation process. Various domains were pondered and classified for research inferences, including supply chain, finance, governance, banking, construction, etc. The research has provided an overview of Blockchain implementation from the end-user’s perspective, which would be resourceful for stakeholders to fortify the concerning elements for a better outcome. The research inferences will support scholarly advances in Blockchain towards business development. The research will also provide the platform to overview the research on Blockchain through a multidisciplinary lens that would contribute to a novel interpretation of this emerging arena.