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DQN-PACG: load regulation method based on DQN and multivariate prediction model
Demand response plays a pivotal role in modern smart grid systems, aiding in balancing energy consumption. However, the increasing energy demands of...
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LightCapsGNN: light capsule graph neural network for graph classification
Graph neural networks (GNNs) have achieved excellent performances in many graph-related tasks. However, they need appropriate pooling operations to...
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ChatGPT adoption and its influence on faculty well-being: An empirical research in higher education
Rapid technological advancements of recent decades have fueled, among other aspects, a global boom in the utilization of artificial intelligence (AI)...
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Scalable Bayesian p-generalized probit and logistic regression
The logit and probit link functions are arguably the two most common choices for binary regression models. Many studies have extended the choice of...
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Kindergarten parents’ perceptions of the use of AI technologies and AI literacy education: Positive views but practical concerns
Although artificial intelligence (AI) is becoming more commonly integrated into our everyday lives, homes, and schools, there needs to be more...
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The impact of simulation applications on the problem-solving and decision-making skills of school administrators and prospective administrators: An experimental study
Although the competencies expected from administrators have increased with the development of technology, it is seen that there are a limited number...
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An ensemble of self-supervised teachers for minimal student model with auto-tuned hyperparameters via improved Bayesian optimization
Due to a growing demand for efficient deep learning models capable of both high performance and reduced costs in terms of computation, model...
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Semantic proximity assessment in Bhojpuri and Maithili: a word embedding perspective
Natural Language Processing has been extensively researched for languages with abundant resources like English and Spanish, but low-resource...
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Advanced techniques for automated emotion recognition in dogs from video data through deep learning
Inter-species emotional relationships, particularly the symbiotic interaction between humans and dogs, are complex and intriguing. Humans and dogs...
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Knowledge graph embedding closed under composition
Knowledge Graph Embedding (KGE) has attracted increasing attention. Relation patterns, such as symmetry and inversion, have received considerable...
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A novel control chart scheme for online social network monitoring using multivariate nonparametric profile techniques
Online social networks have become indispensable in modern life, facilitating knowledge sharing, social communication, and business marketing. To...
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Mmds: multimodal benchmark dataset for suspicious profile detection on twitter social network
In the era of widespread social media usage, detecting and mitigating suspicious profiles is essential for maintaining social platform integrity....
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Towards effective urban region-of-interest demand modeling via graph representation learning
Identifying the region’s functionalities and what the specific Point-of-Interest (POI) needs is essential for effective urban planning. However, due...
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Personalization of OLAP queries for hierarchical visualization under constraints
Decision-makers, whether at the corporate or enterprise level, do not have the same vision of all decision-making data since their needs vary greatly...
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Multi-modal Machine Learning Investigation of Telework and Transit Connections
Public transit in the U.S. has an unsettled future. The onset of the COVID-19 pandemic saw a dramatic decline in transit ridership, with agency...
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Students’ perceptions, attitudes and utilisation of ChatGPT for academic dishonesty: Multigroup analyses via PLS‒SEM
While previous studies have explored students’ use of different AI tools for academic purposes, studies that have specifically investigated students’...
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Short-term POI recommendation with personalized time-weighted latent ranking
In this paper, we formulate a novel Point-of-interest (POI) recommendation task to recommend a set of new POIs for visit in a short period following...
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Spatio-temporal wind speed forecasting with approximate Bayesian uncertainty quantification
The prediction of short- and long-term wind speed has great utility for the industry, especially for wind energy generation. Deep neural networks can...
