Academic Articles & Research Papers

Gold Price Forecasting using Time Series Modeling on a Web Platform

Gold is one of the most favored investment instruments due to its stability and its ability to preserve value against inflation. However, its price movements are volatile and influenced by various global economic factors, currency exchange ...

Mind Children: The Future of Robot and Human Intelligence

Imagine attending a lecture at the turn of the twentieth century in which Orville Wright speculates about the future of transportation, or one in which Alexander Graham Bell envisages satellite communications and global data banks. Mind Chi...

Geometric Fundamentals of Robotics

Quantum Computing in Cybersecurity

Machine learning, deep learning, probabilistic neural networks, blockchain, and other new technologies all demand extremely high processing speeds. A quantum computer is an example of such a system. Quantum computers may be accessed over th...

Development of Quantum Circuit Architecture on Quantum Perceptron Algorithm for Classification of Marketing Bank Data　

The creation of quantum circuit architecture based on the quantum perceptron algorithm to classify marketing bank data is proposed in this work. A quantum circuit is a quantum gate made up of two quantum gates. Quantum bits are used in this...

Transitioning to a Hyperledger Fabric Quantum-Resistant Classical Hybrid Public Key Infrastructure

This research has two parts; the first is to identify enterprise Hyperledger Fabric (HLF) blockchain cybersecurity vulnerabilities, threats, and legal obligations in a Post-Quantum Cryptography (PQC) world. HLF is a permissioned blockchain ...

Commercial applications of quantum computing

Despite the scientific and engineering challenges facing the development of quantum computers, considerable progress is being made toward applying the technology to commercial applications. In this article, we discuss the solutions that som...

Safety and reliability driven task allocation in distributed systems

Distributed computer systems are increasingly being employed for critical applications, such as aircraft control, industrial process control, and banking systems. Maximizing performance has been the conventional objective in the allocation ...

A Review of Cybersecurity Incidents in the Water Sector

This study presents a critical review of disclosed, documented, and malicious cybersecurity incidents in the water sector to inform safeguarding efforts against cybersecurity threats. The review is presented within a technical context of in...

Cybersecurity and financial stability

Abstract Cyber risk exposes banks to operational disruptions that can trigger runs. A bank chooses its cybersecurity by trading off protection against attacks with remaining resilient if an attack succeeds. Cybersecurity functions as a risk...

Machine learning in cybersecurity: a comprehensive survey

Today’s world is highly network interconnected owing to the pervasiveness of small personal devices (e.g., smartphones) as well as large computing devices or services (e.g., cloud computing or online banking), and thereby each passing minut...

Cybersecurity

This chapter begins with cybersecurity features. It covers various forms of cyber threats: cyberattacks, cyberterrorism, and cyberbullying. The chapter addresses cybersecurity governance and the trade-offs between cybersecurity and freedom....

Ensemble with neural networks for bankruptcy prediction

Neural networks in the capital markets

PART ONE: NEURAL NETWORKS: Introduction Design Considerations Methods for Optimal Network Design Data Modelling Considerations Testing Strategies and Metrics PART TWO: EQUITY APPLICATIONS: Modelling Stock Returns in the Framework of APT: A ...

Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations

We introduce a method to train Quantized Neural Networks (QNNs) --- neural networks with extremely low precision (e.g., 1-bit) weights and activations, at run-time. At train-time the quantized weights and activations are used for computing ...

Bankruptcy prediction using neural networks

Knowledge management in software engineering

Software organizations’ main assets are not plants, buildings, or \nexpensive machines. A software organization’s main asset is its intellectual \ncapital, as it is in sectors such as consulting, law, investment \nbanking, and advertising. ...

AMPA-Type Glutamate Receptors Associated With Vascular Smooth Muscle Cell Subpopulations in Atherosclerosis and Vascular Injury

Objectives and Aims: Vascular smooth muscle cells (VSMCs) are key constituents of both normal arteries and atherosclerotic plaques. They have an ability to adapt to changes in the local environment by undergoing phenotypic modulation. An im...

Independent association of general and central adiposity with risk of gallstone disease: observational and genetic analyses

BackgroundGeneral obesity is a well-established risk factor for gallstone disease (GSD), but whether central obesity contributes additional independent risk remains controversial. We aimed to comprehensively clarify the effect of body fat d...

Discovering Statistics Using Ibm Spss Statistics

Unrivalled in the way it makes the teaching of statistics compelling and accessible to even the most anxious of students, the only statistics textbook you and your students will ever need just got better! Andy Field's comprehensive and best...