Academic Articles & Research Papers

The Integration of Cone Beam Computed Tomography, Artificial Intelligence, Augmented Reality, and Virtual Reality in Dental Diagnostics, Surgical Planning, and Education: A Narrative Review

(1) Background: Advancements in dental imaging technologies have significantly transformed diagnostic and surgical practices. The integration of cone beam computed tomography (CBCT), artificial intelligence (AI), augmented reality (AR), and...

Applications of Rough Sets in Big Data Analysis: An Overview

Big data, artificial intelligence and the Internet of things (IoT) are still very popular areas in current research and industrial applications. Processing massive amounts of data generated by the IoT and stored in distributed space is not ...

Progettare con la luce

Il daylighting design rappresenta oggi una componente essenziale nella progettazione architettonica, in relazione a obiettivi ambientali, qualitativi e percettivi. Tuttavia, nonostante il crescente interesse verso la luce naturale, permango...

Anti-corruption laws as a pillar of national security protection: wartime peculiarities

The analysis focuses on how anti-corruption rules ensure both national security and support it during times of war when corruption endangers stability. Our study checks if existing anti-corruption rules and institution systems help protect ...

Optimizing Ultrasonic-Assisted Extraction Process of <i>Paralepista flaccida</i>: A Comparative Study of Antioxidant, Anticholinesterase, and Antiproliferative Activities via Response Surface Methodology and Artificial Neural Network Modeling

In this study, extraction conditions were optimized to maximize the biological activities of extracts obtained from Paralepista flaccida, an edible mushroom species. Extraction processes were carried out using an ultrasonically assisted sys...

An information theoretic limit to data amplification

In recent years generative artificial intelligence has been used to create data to support scientific analysis. For example, generative adversarial networks (GANs) have been trained using Monte Carlo simulated input and then used to generat...

Artificial intelligence

In a departure from usual practice, the Science Research Council has published a 'paper symposium' on artificial intelligence (AI), to stimulate discussion within the British science community before making a decision on the extent and allo...

Artificial Intelligence and Sustainable Decisions

Abstract When addressing corporate sustainability challenges, artificial intelligence (AI) is a double-edged sword. AI can make significant progress on the most complicated environmental and social problems faced by humans. On the other han...

Artificial intelligence in developing countries: The impact of generative artificial intelligence (AI) technologies for development

This paper explores the potential impact of Generative Artificial Intelligence (Generative AI) on developing countries, considering both positive and negative effects across various domains of information, culture, and industry. Generative ...

Fairness in multimodal machine learning applications in clinical decision support: a systematic review.

Vestibular-Visual Reweighting in Persistent Postural-Perceptual Dizziness: A Multilevel Resting-State fMRI Study

Persistent postural-perceptual dizziness (PPPD) is a disabling functional vestibular disorder characterized by chronic dizziness and visually and motion-induced unsteadiness that markedly impairs daily activities, yet it lacks objective neu...

AI-Enhanced CLIL for Embodied Learning: Applying the CLPS Framework in Secondary Physical Education

This study examines how Artificial Intelligence (AI) can enhance Content and Language Integrated Learning (CLIL) through embodied, multimodal instruction in secondary Physical Education (PE). Drawing on Fernández Fontecha’s Content and Lang...

Assessing climate and land use impacts on surface water yield using remote sensing and machine learning

Abstract Climate and land use changes are critical factors affecting watershed water yields, with significant implications for water resources at both local and regional levels. This study examined the combined effects of temporal and spati...

Prediction of bank transaction fraud using TabNet—an adaptive deep learning architecture

The development of online banking has brought about an increase in fraudulent operations, which is a major problem for banks. This study delves into the urgent requirement for interpretable, scalable, and top-notch fraud detection systems b...

Precision Microalgae: A New Conceptual Framework for Bioengineering Applications

Microalgae are promising platforms for biomass production, carbon capture, biofuels, and high-value bioproducts. However, despite significant advances in cultivation technologies, reactor engineering, and metabolic engineering, industrial i...

Insights into the entire building life cycle assessment (LCA): existing trends, challenges and prospective framework

Building sustainability assessment increasingly demands life cycle coverage that captures environmental burdens and trade-offs beyond operational energy, including embodied impacts and end of life (EoL) outcomes under circular economy (CE) ...

Artificial Intelligence for Enhancing Resilience

In an increasingly complex and unpredictable world, resilience-the ability to withstand and recover from adverse conditions is essential across various sectors. This research paper investigates the transformative potential of artificial int...

Educational Artificial Intelligence Software to Support Assessment of Atopic Dermatitis Severity.

Generative AI: reconfiguring supervision and doctoral research

The uptake of generative artificial intelligence (GenAI) tools has implications for doctoral research and academic publication practices within both construction management and the wider academic context. Unless these implications are under...

SEMANTIC URBAN MESH SEGMENTATION BASED ON AERIAL OBLIQUE IMAGES AND POINT CLOUDS USING DEEP LEARNING

The use of deep machine learning methods for semantic classification of city mesh models is one of the current trends in geoscience development. Thanks to the thriving development of Convolutional Neural Networks (CNNs) it is now achievable...