Titlebook: Intelligent Information and Database Systems; 16th Asian Conferenc Ngoc Thanh Nguyen,Richard Chbeir,Krystian Wojtkiew Conference proceeding

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Evolution and Refinement of the Formal Framework for Collective Systemsome a burgeoning field of study. The article presents an advanced graph-based framework for collective representation and a diverse set of metrics to assess collective characteristics. The authors propose that their framework simplifies the identification of insightful attributes within collectives,

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Reclaim

Brain Tumor Segmentation with FPN-Based EfficientNet and XAIis a crucial diagnostic tool, the process of interpreting and evaluating MRI is time-consuming and requires knowledge from the experts. Developing and using machine learning methods to predict brain tumors can speed up diagnosis, reduce wait times, and could improve accuracy. This study proposes usi

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Inflamed

积极词汇

Enhancing Deepfake Detection Through Innovative Data Augmentation Strategies and Frame-Based Deep Len approaches and datasets illuminates the vulnerability of current models to a spectrum of deepfake types, revealing a notable deficiency in their adaptability to emerging variations and their efficacy in identifying novel threats. This paper focuses on the assessment of deepfake detection models ac

lobster

Self-supervised Adversarial Masking for 3D Point Cloud Representation Learningten rely on random masking of inputs, the results of this approach can be improved. We introduce PointCAM  a novel adversarial method for learning a masking function for point clouds. Our model utilizes a self-distillation framework with an online tokenizer for 3D point clouds. Compared to previous

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Facial Ethnicity Recognition Based on a New Joint Loss Functionty recognition which has received increasing attention in recent years since it plays a pivotal role in face-related applications, including data analysis, biometrics identification and intelligent video surveillance systems. In this context, we proposed a new method for the facial ethnicity recogni

KEGEL

Decision-Making Approach for Early Plant Stress Detection from Hyperspectral Imagesources. Collecting multimodal data provides inputs for both predictive models and decision support. In this context, hyperspectral (HS) images aim to support crop monitoring, facilitate disease detection processes, and tackle water scarcity challenges by promptly identifying water stress. The domain

神圣将军

Adaptive Scheme of Clustering-Based Unsupervised Learning for Person Re-identificationst and distinctive features from data without annotations. However, existing approaches often overlook the correlation of the re-ID modules related hyperparameters with the considerable shrinkage in cluster density. This issue potentially lead to misaligned cluster representation vectors taken into