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Unveiling AI in the courtroom: exploring ChatGPT’s impact on judicial decision-making through a pilot Colombian case study
This article examines the impact of ChatGPT on judicial reasoning, focusing on a recent Colombian case where the judge utilized ChatGPT in the...
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Maximizing intrusion detection efficiency for IoT networks using extreme learning machine
Intrusion Detection Systems (IDSs) are crucial for safeguarding modern IoT communication networks against cyberattacks. IDSs must exhibit exceptional...
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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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Aggregating the response in time series lag models using quad weight kernel: impact of environmental factors on schizophrenia admissions
There has been a growing apprehension in the past few years concerning the issue of pollution and climate change. Several articles have shown the...
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Exploring the potential of Wav2vec 2.0 for speech emotion recognition using classifier combination and attention-based feature fusion
AbstractSelf-supervised learning models, such as Wav2vec 2.0, extract efficient features for speech processing applications including speech emotion...
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Towards the automation of systematic reviews using natural language processing, machine learning, and deep learning: a comprehensive review
Systematic reviews (SRs) constitute a critical foundation for evidence-based decision-making and policy formulation across various disciplines,...
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Electromagnetic properties of coal using microstrip and an algorithm based on the Nicolson-Ross-Weir method
The work implements an experimental methodology to find the dielectric parameters: electrical permittivity, effective permittivity, magnetic...
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An agent-based persuasion model using emotion-driven concession and multi-objective optimization
Multi-attribute negotiation is essentially a multi-objective optimization (MOO) problem, where models of agent-based emotional persuasion (EP) can...
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Cost-effective clonal selection and AIS-based load balancing in cloud computing environment
Cloud computing faces challenges in increasing efficiency through task scheduling and load balancing. Various load-balancing methods, including the...
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The impact of virtual and augmented reality on presence, user experience and performance of Information Visualisation
The fast growth of virtual reality (VR) and augmented reality (AR) head-mounted displays provides a new medium for interactive visualisations and...
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Exploiting recurrent graph neural networks for suffix prediction in predictive monitoring
Predictive monitoring is a subfield of process mining that aims to predict how a running case will unfold in the future. One of its main challenges...
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Domain independent heuristics for online stochastic contingent planning
Partially observable Markov decision processes (POMDP) are a useful model for decision-making under partial observability and stochastic actions....
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Deep learning-based classification and application test of multiple crop leaf diseases using transfer learning and the attention mechanism
Crop diseases are among the major natural disasters in agricultural production that seriously restrict the growth and development of crops,...
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Real-time scheduling of power grid digital twin tasks in cloud via deep reinforcement learning
As energy demand continues to grow, it is crucial to integrate advanced technologies into power grids for better reliability and efficiency. Digital...
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Exploration and Exploitation of Unlabeled Data for Open-Set Semi-supervised Learning
In this paper, we address a complex but practical scenario in semi-supervised learning (SSL) named open-set SSL, where unlabeled data contain both...
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Optimizing pre-copy live virtual machine migration in cloud computing using machine learning-based prediction model
One of the preconditions for efficient cloud computing services is the continuous availability of services to clients. However, there are various...
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Hyper star structure fault tolerance of half hypercube
The reliability of interconnection networks ordinarily is measured by all kinds of connectivities. The qualitative and quantitative analysis relies...
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Omni-dimensional dynamic convolution feature coordinate attention network for pneumonia classification
Pneumonia is a serious disease that can be fatal, particularly among children and the elderly. The accuracy of pneumonia diagnosis can be improved by...
