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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...
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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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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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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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Development of a leech-inspired peristaltic crawling soft robot for intestine inspection
The development of a non-destructive and patient-friendly method for examining the intestines is crucial for early prevention and timely diagnosis of...
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The mediating role of mobile learning motivation in the relationship between pre-service teachers’ digital literacy and pre-service teacher identity
This study is significant as it seeks to establish the connection between the digital literacy levels of pre-service teachers and their teacher...
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High School English Teachers Reflect on Their Talk: A Study of Response to Automated Feedback with the Teacher Talk Tool
We present the Teacher Talk Tool, which automatically analyzes classroom audio and provides formative feedback on key aspects of teachers’ classroom...
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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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How Can I Get It Right? Using GPT to Rephrase Incorrect Trainee Responses
One-on-one tutoring is widely acknowledged as an effective instructional method, conditioned on qualified tutors. However, the high demand for...
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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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Generation and Countermeasures of adversarial examples on vision: a survey
Recent studies have found that deep learning models are vulnerable to adversarial examples, demonstrating that applying a certain imperceptible...
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From large language models to small logic programs: building global explanations from disagreeing local post-hoc explainers
The expressive power and effectiveness of large language models (LLMs) is going to increasingly push intelligent agents towards sub-symbolic models...
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Multi-task scheduling in vehicular edge computing: a multi-agent reinforcement learning approach
Vehicular Edge Computing (VEC) represents a computational paradigm designed to optimize vehicular performance and enhance vehicle services. It...
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Optimization of Information Retrieval Systems for Learning Contexts
The majority of Sub-Saharan African countries are facing a very negative teacher-learner ratio: one teacher for over 120 learners. In order to...
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Differences with high probability and impossible differentials for the KB-256 cipher
In this paper differences with probability 1 were found for 6 and 7 rounds of KB-256 block cipher. Also using Biham’s et al. shrinking technique we...
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An experimental evaluation of Siamese Neural Networks for robot localization using omnidirectional imaging in indoor environments
The objective of this paper is to address the localization problem using omnidirectional images captured by a catadioptric vision system mounted on...
