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Net versus relative impacts in public policy automation: a conjoint analysis of attitudes of Black Americans
The use of algorithms and automated systems, especially those leveraging artificial intelligence (AI), has been exploding in the public sector, but...
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A network intrusion detection system based on deep learning in the IoT
As industrial and everyday devices become increasingly interconnected, the data volume within the Internet of Things (IoT) has experienced a...
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Needle tracking in low-resolution ultrasound volumes using deep learning
PurposeClinical needle insertion into tissue, commonly assisted by 2D ultrasound imaging for real-time navigation, faces the challenge of precise...
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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...
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3D mobile regression vision transformer for collateral imaging in acute ischemic stroke
PurposeThe accurate and timely assessment of the collateral perfusion status is crucial in the diagnosis and treatment of patients with acute...
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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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Detection of pulmonary nodules in chest radiographs: novel cost function for effective network training with purely synthesized datasets
PurposeMany large radiographic datasets of lung nodules are available, but the small and hard-to-detect nodules are rarely validated by computed...
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Improving predictive performance in e-learning through hybrid 2-tier feature selection and hyper parameter-optimized 3-tier ensemble modeling
The paper presents a new feature selection technique developed in detail here to address improved prediction accuracy not only for the...
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Domain adaptation using AdaBN and AdaIN for high-resolution IVD mesh reconstruction from clinical MRI
PurposeDeep learning has firmly established its dominance in medical imaging applications. However, careful consideration must be exercised when...
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Optimal feature with modified bi-directional long short-term memory for big data classification in healthcare application
Artificial intelligence together with its applications are advancing in all fields, particularly medical science. A considerable quantity of clinical...
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SRGAN-enhanced unsafe operation detection and classification of heavy construction machinery using cascade learning
In the inherently hazardous construction industry, where injuries are frequent, the unsafe operation of heavy construction machinery significantly...
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The meaningfulness gap in AI ethics: a guide on how to think through a complex challenge
Technological outsourcing is increasingly prevalent, with AI systems taking over many tasks once performed by humans. This shift has led to various...
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Virtual node graph neural network for full phonon prediction
Understanding the structure–property relationship is crucial for designing materials with desired properties. The past few years have witnessed...
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Fractional-order strain of an infinite annular cylinder based on Caputo and Caputo–Fabrizio fractional derivatives under hyperbolic two-temperature generalized thermoelasticity theory
A new mathematical model of a thermoelastic annular cylinder that is infinite, isotropic, and homogeneous has been constructed in this paper. The...
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Research on satellite link allocation algorithm for Earth-Moon space information network
With ongoing advancements in space exploration and communication technology, the realization of an Earth-Moon space information network is gradually...
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Learning to sculpt neural cityscapes
We introduce a system that learns to sculpt 3D models of massive urban environments. The majority of humans live their lives in urban environments,...
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Intelligent Personality Assessment and Verification from Handwriting using Machine Learning
It is possible to tell a lot about a person just by looking at their handwriting. The way someone writes might tell you a lot about who, they are as...
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Integrating metaheuristics and artificial intelligence for healthcare: basics, challenging and future directions
Accurate and rapid disease detection is necessary to manage health problems early. Rapid increases in data amount and dimensionality caused...
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Progress on half a century of process modelling research in steelmaking: a review
Process modelling in steelmaking started from mid-sixties and witnessed rapid growth and wide spread applications during the last fifty years or so....
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DMFVAE: miRNA-disease associations prediction based on deep matrix factorization method with variational autoencoder
MicroRNAs (miRNAs) are closely related to numerous complex human diseases, therefore, exploring miRNA-disease associations (MDAs) can help people...