Integrating machine learning with a positioning mechanism for managing interference and power consumption in a multilayer fleet of unmanned aerial platforms See

The soaring global demand for ubiquitous wireless connectivity, which epitomizes the digital era, can only be fulfilled with heterogenous networks that, increasingly, need to include aerial platform fleets for a more holistic approach. However, deploying aerial platforms to serve as a fleet&...

Role of shock waves in materials processing: Fundamentals and applications See

In recent years, ultrasonic processing (USP) technology has led to some of the most promising scientific breakthroughs in the field of pharmaceutical, food, environmental and material sciences leading to advancements in manufacturing, process efficiency, and material performance. However, the industri...

Satellite imagery pre-processing and feature extraction for the mapping of coastal ecosystems using Google Earth Engine See

The use of Google Earth Engine (GEE) is increasingly common in geospatial analysis of satellite images for various environmental management purposes due to its easy accessibility and capabilities to support complex pre-processing and mining of geographic data. In the context of coastal ...

Characterization of Cu-Nb-Cu heterostructure fabricated by high-pressure torsion See

High-pressure torsion (HPT) processing disrupts the thermodynamic equilibrium in immiscible systems and often produces nonequilibrium microstructures with unique properties. This study investigates the microstructural evolution and mechanical behaviour of a Cu-Nb immiscible alloy subjected to HPT under 6 GPa&#x...

Understanding the Psychological, Relational, Sociocultural, and Demographic Predictors of Loneliness Using Explainable Machine Learning See

Loneliness—an important indicator of social health—is increasingly recognized to derive from factors operating at multiple levels. However, simultaneously examining the role of factors at multiple levels implies using large samples and testing multiple factors at the same time, which traditional ...

Psychological Distance Matters: The Interaction between Content Display Order and Expectations of Change in Multi-content Instagram Posts See

The interaction between consumers and multi-content posts on Instagram, despite their widespread use as marketing tools, remains underexplored in academic research and marketing practices. The current research addresses this gap by employing construal-level theory and the concept of psychological dist...

Graph-informed convolutional autoencoder to classify brain responses during sleep See

Automated machine-learning algorithms that analyze biomedical signals have been used to identify sleep patterns and health issues. However, their performance is often suboptimal, especially when dealing with imbalanced datasets. In this paper, we present a robust sleep state (SlS) classification ...

Breast Cancer Risk Assessment by a Hybrid Interval Type-2 Fuzzy Cognitive Map Method See

This paper proposes a new method for accessing the breast cancer risk called Hybrid High-order Interval Type-2 Fuzzy Cognitive Map (H-HIT2 FCM). In a simple Fuzzy Cognitive Map (FCM), the weights between nodes and activation functions are constant in each iteration. As an extension...

Drivers and barriers to rural and urban healthcare placement in Ghana: a Delphi study See

Objective: This study explored the level of consensus on the drivers and barriers influencing doctors’ decisions to work in rural versus urban areas. The study provides insights into systemic issues affecting healthcare workforce distribution in Ghana. Access to medical care is particularly&...