Titlebook: Digital Interaction and Machine Intelligence; Proceedings of MIDI’ Cezary Biele,Janusz Kacprzyk,Marcin Sikorski Conference proceedings 2024

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Assessing Code Review Quality with ChatGPT: A Survey of Automated Reviewer Assignment Methods and Exanguage models such as gpt-4, concentrating on the reliable handling of linguistic and technical nuances, and the development of industry-specific private models. These models must ensure secure and effective reviewer recommendation in software development, as well as catering to the unique needs an

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Enhancing Diabetic Retinopathy Detection with Image Processing Techniques and Deep Learning Efficien which measures the model‘s ability to classify images correctly. The outcomes reveal that the choice of image pre-processing techniques significantly influences the model‘s performance. In summary, the study demonstrates that by combining advanced image pre-processing methods with a powerful deep l

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Real-Time Gameplay Data and Biometric Measurement Integration as a Data Source for Game User Researcbe modified to enhance player satisfaction. However, the study acknowledges the absence of baseline recordings and the need for additional biometric measurements. The research demonstrates the potential of integrating automated gameplay analysis and biometric research to improve game user experience

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Concept of a Time Perspective in Extended Reality Interface for Industrial Application an Extended Reality interfaces to enable true integration of surrounding industrial environment and various types of users. Depends on a use-case, presented concept allows immersive interaction with things and devices, and view a multidimensional data set in context of past, present, and future tim

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Fraud Detection Through Nature-Inspired Algorithmsoaches to detect and prevent fraudulent activities. Transaction fraud detection involves multiple steps, including data analysis, preprocessing, feature selection, and hyperparameter optimization. Given the prevalence of anonymized features in transaction datasets, we focused on enhancing model perf

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