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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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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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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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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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An adaptive service deployment algorithm for cloud-edge collaborative system based on speedup weights
In the contemporary landscape of edge computing, the deployment of services with stringent real-time requirements on edge devices is increasingly...
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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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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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Free-form and multi-physical metamaterials with forward conformality-assisted tracing
Transformation theory, active control and inverse design have been mainstream in creating free-form metamaterials. However, existing frameworks...
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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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The Logic of God: A Pluralistic Representational Theory of Concepts
In this paper I present a formalization of the theory of ideal concepts applied to the concept of God. It is done within a version of the Simplest...
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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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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...
