This paper introduces a deep reinforcement learning approach for optimizing network-on-
chip layout verification and route optimization. The proposed method addresses the …

The preservation and enhancement of historical news video archives represent a critical
challenge in digital archiving. This paper proposes a novel dual-stream approach …

This study investigates the application of advanced learning models to pharmaceutical
sales, with a focus on the use of deep learning methods, particularly the Transformer model …

This paper presents DeepContainer, a novel deep learning-based framework for real-time
anomaly detection in cloud-native container environments. The proposed framework …

Design rule checking (DRC) in integrated circuit layout verification has become increasingly
complex and time-consuming with the advancement of semiconductor technology nodes …

This paper presents a novel deep learning approach for automated quality assessment of
game localization, focusing on error pattern recognition in English to Turkish translations …

This paper presents a deep learning-based investment risk assessment for PV distribution, a
convolutional neural network (CNN) and monitoring process to improve the risk of the truth …

This paper presents a new security resource allocation optimization framework for a cloud
computing environment using deep learning (DRL). The framework addresses the key …

This paper presents a novel approach to real-time squat pose assessment and injury risk
prediction using an enhanced temporal convolutional neural network (TCNN) architecture …