TRANSFORMER MODELS FOR PASSENGER REVIEWS CLASSIFICATION:A STUDY USING RUBERT AND XLM-ROBERTA
Abstract. This study investigates the development and performance evaluation of transformer-based models for the automatic classification of public transportation passenger reviews, aiming to enhance feedback processing while optimizing issue resolution. Efficient handling of passenger feedback is crucial for improving public transportation services, as unresolved complaints or operational inefficiencies can decrease passenger satisfaction and create logistical […]
INVESTIGATION OF THE IMPACT OF DATA AUGMENTATION METHODS AND NOISE ON THE ACCURACY OF NUCLEI SEGMENTATION IN HISTOLOGICAL IMAGES USING A DEEP NEURAL NETWORK
Abstract. Segmentation of medical images is one of the key tasks of biomedical informatics, especially in the context of cancer diagnosis. The task of precise segmentation of cell nuclei is particularly relevant and necessary to identify morphological changes in tissues. However, the main challenges and problems in this area remain the variability of image quality, […]
OPTICAL INTERNET OF THINGS
Abstract. The article reveals the existing problems for the widespread adoption of the Internet of Things technol- ogy, presents promising areas based on optical wireless communications for implementing intelligent life support systems. Keywords: Internet of Things, optical wireless communication, data transmission, Visible Light Communications, optical camera.