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Online Monitoring and Control FDM Devices: Study
Digitization is the key word of the term Industrial Revolution of fourth generation. Digitization in industrial enterprises makes it possible to... -
Possibilities of Applying Augmented Reality Elements in the Concept of Lean Management
Increasing efficiency and reducing costs in production is currently a very desirable trend. In many areas, we can see the trend of introducing or... -
A Blockchain Patient-Centric Records Framework for Older Adult Healthcare
Patient-centric medical record systems provide patients control over their health data versus electronic health record (EHR) systems that are health... -
Internet of Vehicle Moving Objects Detection System for the Rural Road Networks
The paper presents the concept of a system for detecting moving objects on rural road networks. Pedestrians, wild animals and domestic animals are... -
Pre-planning for Plastic Surgery Using Machine Learning: A Proof of Concept
This paper presents a proof-of-concept study on AI-based pre-surgery planning in plastic surgery. The study addresses the challenge of technique... -
Chaotic Chimp Based African Vulture Optimization Algorithm with Stability Tests for Feature Selection Algorithms
Earthquake prediction remains a major challenge in the field of geophysics, with significant implications for disaster management and risk reduction.... -
Academic Integrity in the Face of Generative Language Models
The increasing sophistication of generative language models and their widespread accessibility to the general public has been a cause of growing... -
A Literature Review of Various Analysis Methods and Classification techniques of Malware
Malware disrupts the natural behaviour of computer systems, hinders performance, and may cause a significant loss to the computer system owner. The... -
Tiny-ME Wasm: Description Logics Reasoning in Your Browser
The World Wide Web is increasingly adopted as an application development platform in desktop and mobile contexts. As a building block of the Semantic... -
Exploring Knowledge-Based Systems for Commercial Mortgage Underwriting
While the residential mortgage industry has benefited from automated mortgage applications and underwriting, the commercial mortgage industry still... -
Towards Evaluating Policy Optimisation Agents Using Algorithmic Intelligence Quotient Test
With the advent of more powerful AI systems, the issue of theoretically well-founded and more robust methods for general evaluation of intelligence... -
ChatGPT-HealthPrompt. Harnessing the Power of XAI in Prompt-Based Healthcare Decision Support using ChatGPT
This study presents an innovative approach to the application of large language models (LLMs) in clinical decision-making, focusing on OpenAI’s... -
EcoShap: Save Computations by only Calculating Shapley Values for Relevant Features
One of the most widely adopted approaches for eXplainable Artificial Intelligence (XAI) involves employing of Shapley values (SVs) to determine the... -
Bayesian CAIPI: A Probabilistic Approach to Explanatory and Interactive Machine Learning
Explanatory Interactive Machine Learning queries user feedback regarding the prediction and the explanation of novel instances. CAIPI, a... -
Investigation of the Capabilities of Artificial Neural Networks in the Problem of Classifying Objects with Dynamic Features
Image classification is a classic machine learning (ML) problem. Neural networks are widely used in the problem of object classification. Despite the... -
Modelling Electricity Consumption in Irish Dairy Farms Using Agent-Based Modelling
Dairy farming can be an energy intensive form of farming. Understanding the factors affecting electricity consumption on dairy farms is crucial for... -
Visual Patterns in an Interactive App for Analysis Based on Control Charts and SHAP Values
The aim of this paper is to describe the tool for combining the information of control charts, widely used for statistical quality control with the... -
Trust in Artificial Intelligence: Exploring the Influence of Model Presentation and Model Interaction on Trust in a Medical Setting
The healthcare sector has been confronted with rapidly rising healthcare costs and a shortage of medical staff. At the same time, the field of... -
Do Datapoints Argue?: Argumentation for Hierarchical Agreement in Datasets
This work aims to utilize quantitative bipolar argumentation to detect deception in machine learning models. We explore the concept of deception in... -
TP-DejaVu: Combining Operational and Declarative Runtime Verification
Runtime verification (RV) facilitates monitoring the executions of a system, comparing them against a formal specification. A main challenge is to...