Academic Articles & Research Papers

Cybersecurity in Hospitals: A Systematic, Organizational Perspective

BACKGROUND: Cybersecurity incidents are a growing threat to the health care industry in general and hospitals in particular. The health care industry has lagged behind other industries in protecting its main stakeholder (ie, patients), and ...

Cybersecurity

This chapter introduces the theme of cybersecurity, its importance in the actual scenario, and the challenges of the new Information Society, whose critical development factors are the technological revolution and innovation. The revolution...

Cybersecurity as praxis and as a state: The EU law path towards acknowledgement of a new right to cybersecurity?

The end of the second decade of the 21st century has been the best of times for EU's cybersecurity law and policy: Its NIS Directive has been transposed into all Member States’ national law, creating a new administrative structure at EU and...

Cybersecurity

The Internet has given rise to new opportunities for the public sector to improve efficiency and better serve constituents. But with an increasing reliance on the Internet, digital tools are also exposing the public sector to new risks. Thi...

Cyberethics, Cybersafety, and Cybersecurity

In teacher education programs, preservice teachers learn about strategies to appropriately integrate computer-related and Internet-capable technologies into instructional settings to improve student learning. Many presume that preservice te...

Institutional Strategies for Cybersecurity in Higher Education Institutions

Cybersecurity threats have grown exponentially, posing a heavy burden on organisations. Higher Education Institutions (HEIs) are particularly vulnerable, and their cybersecurity issues are receiving greater attention. However, existing rese...

Computer Vision and Natural Language Processing

Integrating computer vision and natural language processing is a novel interdisciplinary field that has received a lot of attention recently. In this survey, we provide a comprehensive introduction of the integration of computer vision and ...

Recurrent Neural Networks for Prediction

New technologies in engineering, physics and biomedicine are demanding increasingly complex methods of digital signal processing. By presenting the latest research work the authors demonstrate how real-time recurrent neural networks (RNNs) ...

Artificial neural networks in process engineering

Artificial neural networks are made up of highly interconnected layers of simple ‘neuron-like’ nodes. The neurons act as nonlinear processing elements within the network. An attractive property of artificial neural networks is that, given t...

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 ...

Neural Networks for Chemical Engineers

Part 1 Theoretical issues: an introduction to artificial neural networks, D.T. Pham unsupervised neural learning, E. Oja back-propagation and its variations, D. Tsaptsinos the general approximation problem for feed-forward neural networks, ...

Applied Deep Learning

Work with advanced topics in deep learning, such as optimization algorithms, hyper-parameter tuning, dropout, and error analysis as well as strategies to address typical problems encountered when training deep neural networks, in this compr...

Deep Learning for Instance Retrieval: A Survey

In recent years a vast amount of visual content has been generated and shared from many fields, such as social media platforms, medical imaging, and robotics. This abundance of content creation and sharing has introduced new challenges, par...

EdgeAIGC: Model caching and resource allocation for edge artificial intelligence generated content

With the rapid development of generative artificial intelligence technology, the traditional cloud-based centralized model training and inference face significant limitations due to high transmission latency and costs, which restrict user-s...

Challenges in automotive software engineering

The amount of software in cars grows exponentially. Driving forces of this development are cheaper and more powerful hardware and the demand for innovations by new functions. The rapid increase of software and software based functionality b...

Expert Consensus Recommendations on NSCLC Management: Evidence-Based Strategies for Early Resectable and Locally Advanced Disease from Asia.

Generational Differences in Dietary Behaviours: A Cross-Sectional Study of Generations X, Y, and Z [version 1; peer review: 2 approved]

Background Dietary behaviours influence obesity and chronic disease. In Saudi Arabia, Westernised diets and sedentary lifestyles have driven rising obesity. This study explores generational dietary patterns to inform Saudi Vision 2030 plann...

Statistics and Truth

Uncertainty, randomness and creation of new knowledge taming of uncertainty - evolution of statistics principles and strategies of data analysis - cross examination of data principles and strategies of data analysis - weighted and clouded d...

The Balanced Opioid Initiative: protocol for a clustered, sequential, multiple-assignment randomized trial to construct an adaptive implementation strategy to improve guideline-concordant opioid prescribing in primary care

Abstract Background Rates of opioid prescribing tripled in the USA between 1999 and 2015 and were associated with significant increases in opioid misuse and overdose death. Roughly half of all opioids are prescribed in primary care. Althoug...

Renewable Energy Sources and Climate Change Mitigation

This Intergovernmental Panel on Climate Change Special Report (IPCC-SRREN) assesses the potential role of renewable energy in the mitigation of climate change. It covers the six most important renewable energy sources – bioenergy, solar, ge...