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Analyzing Insurance Data with an Alpha Power Transformed Exponential Poisson Model
In this paper, we propose a new model by adding an additional parameter to the baseline distributions for modeling claim and risk data used in...
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Prediction of blast-hole utilization rate using structured nonlinear support vector machine combined with optimization algorithms
Blasting is the primary method for ultra-deep roadway engineering, which is facing the challenge of low footage caused by unsatisfactory blasting...
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The work of art in the age of AI reproducibility
Walter Benjamin wrote his prophetic essay, “The Work of Art in the Age of Mechanical Reproduction,” almost a century ago, yet it is still pertinent...
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Federated quantum long short-term memory (FedQLSTM)
Quantum federated learning (QFL) can facilitate collaborative learning across multiple clients using quantum machine learning (QML) models, while...
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Using the classic trolley problem to teach AI students and researchers about their role as moral agents, and why they should be subject to moral scrutiny
Thiscommentary proposes a means of teaching students – particularly computer science students – about their role as moral agents, who, on account of...
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Fully nonlinear neuromorphic computing with linear wave scattering
The increasing size of neural networks for deep learning applications and their energy consumption create a need for alternative neuromorphic...
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Usability of visualizing position and orientation deviations for manual precise manipulation of objects in augmented reality
Manual precise manipulation of objects is an essential skill in everyday life, and Augmented Reality (AR) is increasingly being used to support such...
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Biden’s Executive Order on AI: strengths, weaknesses, and possible reform steps
In recent years, numerous AI ethics and government initiatives have emerged globally. The E.U.’s AI Act and the Biden Administration’s Executive...
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Robots and reactive attitudes: a defense of the moral and interpersonal status of non-conscious agents
Traditional debates about the moral status of Artificial Intelligence typically center around the question of whether such artificial beings are, or...
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Risk and artificial general intelligence
Artificial General Intelligence (AGI) is said to pose many risks, be they catastrophic, existential and otherwise. This paper discusses whether the...
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MBGNet:Multi-branch boundary generation network with temporal context aggregation for temporal action detection
Temporal action detection is an important and fundamental video understanding task that aims to locate the temporal regions where human actions or...
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Non-abelian exponential Yang-Mills AdS black brane and transport coefficients
In this paper, AdS black brane solution of Einstein-Hilbert gravity with non-abelian exponential guage theory of Yang-Mills type is introduced. DC...
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Autocleandeepfood: auto-cleaning and data balancing transfer learning for regional gastronomy food computing
Food computing has emerged as a promising research field, employing artificial intelligence, deep learning, and data science methodologies to enhance...
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QLDT: adaptive Query Learning for HOI Detection via vision-language knowledge Transfer
Human-object interaction detection can be mainly categorized into two core problems, namely human-object association detection and interaction...
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A robust method for malware analysis using stacking classifiers and dendrogram visualization
Malware analysis is a vital and challenging task in the ever-changing cyber threat landscape. Traditional signature-based methods cannot keep up with...
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Teledrive: An Embodied AI Based Telepresence System
This article presents ‘Teledrive’, a telepresence robotic system with embodied AI features that empowers an operator to navigate the telerobot in any...
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A Meta-learner approach to multistep-ahead time series prediction
The utilization of machine learning has become ubiquitous in addressing contemporary challenges in data science. Moreover, there has been significant...
