Titlebook: Computational Collective Intelligence; 16th International C Ngoc Thanh Nguyen,Bogdan Franczyk,Adrianna Kozierk Conference proceedings 2024

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Enhancing Focused Ant Colony Optimization for Large-Scale Traveling Salesman Problems Through Adaptition problems. The Focused ACO is a state-of-the-art, ACO-based algorithm for solving large instances of the Traveling Salesman Problem (TSP) with hundreds of thousands of nodes. In the current work, we propose four candidate methods for automatically setting a crucial Focused ACO parameter that dir

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GANet - Learning Tabular Data Using Global Attentiongnificant strides, exhibiting better performance levels in the tabular data. Still, their practical utilization in real-world scenarios remains limited because their accuracy and interpretability are not comparable to classical methods, although the application of Deep Learning is attractive - build

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Interpreting Results of VGG-16 for COVID-19 Diagnosis on CT Imagesents a diagnosis approach based on a combination of the well-known convolutional neural network architecture, VGG-16, and model interpretation techniques such as Grad-CAM and LIME. This approach helps visualize the lung areas infected with COVID-19 and other considered anomalies such as Pleural thic

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A Hybrid Approach Using 2D CNN and Attention-Based LSTM for Parkinson’s Disease Detection from Video and consistency. The current diagnostic process intensely relies on subjective clinical judgment, resulting in changeable accuracy influenced by clinician skills. To solve this limitation, we present a hybrid approach using 2D CNN and attention-based LSTM network that takes video recordings as inpu

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