Academic Articles & Research Papers

From molecules to data: the emerging impact of chemoinformatics in chemistry

Abstract Chemoinformatics is a rapidly advancing field that integrates chemistry, computer science, and data analysis to enhance the study and application of chemical systems. This interdisciplinary approach leverages computational tools an...

Quantum-Enhanced Algorithmic Fairness and the Advancement of AI Integrity and Responsibility

In the evolving digital landscape, the pervasive influence of artificial intelligence (AI) on social media platforms reveals a compelling paradox: the capability to provide personalized experiences juxtaposed with inherent biases reminiscen...

Continuous monitoring biosensors for advanced healthcare and environmental applications: challenges, material innovations and future directions

This review critically discusses the development of continuous monitoring biosensors and the technological developments that have facilitated the transition from one-off or periodic measurement sensors to longer-term, connected and autonomo...

The Role and Application of Matrices in Artificial Intelligence: Foundations, Methods, and Advancements

Matrices are foundational to artificial intelligence (AI), serving as critical tools for data representation, manipulation, and transformation across various applications. From machine learning algorithms to neural network architectures, ma...

Quantum Computing and AI: Impacts & Possibilities

Quantum computing is one of the emerging technologies. Different communities and research organizations are working to bring quantum computing applications into reality. Artificial Intelligence is another emerging area and getting stable wi...

Artificial intelligence for quantum computing

Artificial intelligence (AI) advancements over the past few years have had an unprecedented and revolutionary impact across everyday application areas. Its significance also extends to technical challenges within science and engineering, in...

Quantum computing models for artificial neural networks

Abstract Neural networks are computing models that have been leading progress in Machine Learning (ML) and Artificial Intelligence (AI) applications. In parallel, the first small-scale quantum computing devices have become available in rece...

Quantum Computing and Artificial Intelligence

This book is to explore and explain the strategically sound capabilities at the synchronization between quantum computing and artificial intelligence (AI). The reader will be presented with an introduction and a deeper review of the technol...

Introduction to Quantum Computing

Quantum computing is a modern way of computing that is based on the science of quantum mechanics and its unbelievable phenomena. It is a beautiful combination of physics, mathematics, computer science and information theory. It provides hig...

D 3 S: debugging deployed distributed systems

Testing large-scale distributed systems is a challenge, because some errors manifest themselves only after a distributed sequence of events that involves machine and network failures. D³S is a checker that allows developers to specify predi...

Functionally Accurate, Cooperative Distributed Systems

A new approach for structuring distributed processing systems, called functionally accurate, cooperative (FA/C), is proposed. The approach differs from conventional ones in its emphasis on handling distribution-caused uncertainty and errors...

Network and distributed systems management

Contents Introduction 1. Management - What and Why Enabling Technologies 2. Network Technologies 3. Distributed Systems Models and Standards for Management 4. OSI Management Model and Standards 5. OSI Structure of Management Information 6. ...

Modular Software Upgrades for Distributed Systems

FUTURE OF CYBERSECURITY

Cyber attacks have grown in the last few years and have targeted all kinds of sectors. Cybersecurity is the umbrella term used to describe efforts to protect computer networks from unauthorized access. As we increasingly rely on technology ...

Cybersecurity

Cybersecurity is not just making lede in news but is also attracting more attention than ever before among businesses, industries, academicians, and the common users. As the adversaries flourish the frequency of cyberattacks have increased ...

AI and Cybersecurity

Artificial Intelligence (AI) and Cybersecurity have become deeply intertwined, shaping the future of digital safety and resilience. As AI-driven solutions enhance threat detection, automation, and response mechanisms, cybersecurity safeguar...

Blockchain for secure and decentralized artificial intelligence in cybersecurity: A comprehensive review

As the usage of artificial intelligence (AI) grows within the field of cybersecurity, so too does the demand for secure and decentralized AI systems to protect against potential cyber threats. Blockchain technology (BT) has emerged as the i...

Blockchain in Cybersecurity

Blockchain is a promising technology that can help organizations improve their cybersecurity. Blockchain has many inherent features that can help enhance data security, improve threat detection and response, strengthen authentication and au...

The Cybersecurity Trinity

This book explores three crucial topics for cybersecurity professionals: artificial intelligence (AI), automation, and active cyber defense (ACD)....

A review of digital twins and their application in cybersecurity based on artificial intelligence

Abstract The potential of digital twin technology is yet to be fully realised due to its diversity and untapped potential. Digital twins enable systems’ analysis, design, optimisation, and evolution to be performed digitally or in conjuncti...