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Mass Prediction and Analysis of an Object’s Mass from Its Image Using Deep Learning
The world is full of objects with different properties, such as volume, density, mass, material, etc. These properties are crucial for meaningful...
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MGA-Net: multiscale global feature aggregation network for arteriovenous classification
Subtle retinal vascular changes and abnormalities can serve as crucial biomarkers for numerous systemic diseases. The classification of retinal...
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Robust Image Restoration with an Adaptive Huber Function Based Fidelity
Numerous image restoration algorithms have been proposed in the last several decades. These algorithms usually optimize an objective function...
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Imbalanced COVID-19 vaccine sentiment classification with synthetic resampling coupled deep adversarial active learning
Despite an abundance of scientific evidence supporting the effectiveness of COVID-19 vaccines, there has been a recent global surge in vaccine...
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Heterogeneous Semantic Transfer for Multi-label Recognition with Partial Labels
Multi-label image recognition with partial labels (MLR-PL), in which some labels are known while others are unknown for each image, may greatly...
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Revisiting Deep Ensemble for Out-of-Distribution Detection: A Loss Landscape Perspective
Existing Out-of-Distribution (OoD) detection methods address to detect OoD samples from In-Distribution (InD) data mainly by exploring differences in...
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DUFormer: dual-channel image splicing detection based on anchor-shaped U-Net and stepwise transformer for power systems
The safe operation of intelligent power systems relies on the authenticity and integrity of image data. However, splicing-based image tampering, a...
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Partitioned least squares
Linear least squares is one of the most widely used regression methods in many fields. The simplicity of the model allows this method to be used when...
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Exploring the dynamics of ICT and globalization on human development in India: asymmetric analysis and policy implications
The present study examines the asymmetrical relationship among globalization (GLB), information communication and technology (ICT), and human...
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Procedure-Aware Action Quality Assessment: Datasets and Performance Evaluation
In this paper, we investigate the problem of procedure-aware action quality assessment, which analyzes the action quality by delving into the...
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Application of neural networks to predict indoor air temperature in a building with artificial ventilation: impact of early stop**
Indoor air temperature prediction can facilitate energy-saving actions without compromising the indoor thermal comfort of occupants. The aim of this...
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Fostering preservice teachers socio-emotional, technological, and metacognitive knowledge (STM-K) using e-portfolios
Preservice teachers often face challenges in develo** Socio-emotional, Technological, and Metacognitive Knowledge (STM-K) due to a lack of...
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Data science career preference of Nigeria University students
This study examined the data science career preference, data science skills, and core competencies of 416 students from fourteen Nigerian...
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ASRE-KG&RS: knowledge graph and recommender system for adaptive smart radio environment
With the rapid advancement of wireless communication technologies, efficient utilization of the spectrum has become more complex and competitive....
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Insights into mobile assisted language learning research in Iran: A decade review (2010–2023)
Mobile technologies and the widespread application of mobile devices have become significant in educational settings. Mobile-assisted language...
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Analyzing processing time and load factor: 5-node mix network with ElGamal encryption and XOR shuffling
To provide anonymous communication, this paper proposes the implementation of a 5-node mix network using ElGamal encryption and XOR Shuffling. An...
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Towards an integrative model of blended design studios: a multiple case study across architecture, design and planning education
Design education embodies distinctive pedagogical practices rooted in experiential learning, frequent interactions between students and instructors,...
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Technological solutions to foster preschool children’s spatial ability: A situational interactive e-book approach
Spatial ability is a significant component of mathematical ability and a foundation for children to master mathematical knowledge. Although many...
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VLSI realization of hybrid fast fourier transform using reconfigurable booth multiplier
A discrete fourier transform (DFT) of a series of samples may be quickly and efficiently computed with the use of a mathematical procedure known as...
