Approximate computing is revolutionizing VLSI design by striking a balance between accuracy, power efficiency, and performance. This paper delves into the Approximate 4:2 Compressor, a vital component in arithmetic ci...
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Tropical cyclones (TC) are very destructive meteorological events that mostly affect coastal regions. For early warning and catastrophe management, TC intensity estimation is essential. One important source of real-ti...
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The proposed system creates Ayurvedic and pharmaceutical alternatives using sophisticated text extraction and analysis methods. Text is extracted from PDFs or images using OCR, and fuzzy matching is applied to identif...
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In recent years, synthetic media generation has gained significant attention in areas such as entertainment, gaming, and visual content creation. The Generative Vision Hybrid Model leverages advanced generative archit...
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Point cloud color upsampling is an important and less explored research topic. State-of-the-art methods colorize points based on the colors of neighboring points and geometric distances. However, these methods often s...
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6G communication systems promise to deliver sensing capabilities by utilizing the orthogonal frequency division multiplexing (OFDM) communication signal for sensing. How-ever, the cyclic prefix inherent in OFDM system...
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Smart Tunnel Traffic Control System Using IoT and Machine Learning' is designed to offer safety and effective management of traffic in single-lane tunnels. The conventional tunnel system does not prohibit big vehi...
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The proceedings contain 29 papers. The special focus in this conference is on Intelligent Information and Database Systems. The topics include: GAMER-Pong: Game Adjustment by Monitoring Emotional Response;Machine...
ISBN:
(纸本)9789819660049
The proceedings contain 29 papers. The special focus in this conference is on Intelligent Information and Database Systems. The topics include: GAMER-Pong: Game Adjustment by Monitoring Emotional Response;Machine Learning Algorithms Comparison for Hand sEMG-Recorded Movements Classification;boosting Face Super-Resolution and Identification with Knowledge Distillation and Frequency Domain Loss;improving Efficiency image Captioning by Using Attention Mechanism Combined with Knowledge Graph;integrating Topological Data Analysis and Deep Learning: A Case Study in Cardiovascular Disease Prediction at Thu Duc Hospital;boosting Lightweight Multi-branch Network by Integrating Segment, Skeleton, and Attribute Information;continuous Recognition of Mouth Patterns in Japanese Sign Language for visual Communication;Towards an UAV visual Navigation System Based on Map processing and Spatial Matching Techniques: A Literature Review;image Enhancement with Boosted Schrödinger Bridge;kernel-Level Energy-Efficient Neural Architecture Search for Tabular Dataset;estimation of Distribution Algorithms with Overlapped Subpopulations;energy-Efficient Edge Query processing for Smart City Using Query Prediction;influence Maximization with Fairness Cost on Groups in Online Social Networks;TMMP: Efficient Continual Learning via Mixture of LoRA Experts and Top Maximum Magnitude Parameter Fusion;ADMEdge: Accelerating Edge Computing Through Co-design for Enhanced Data Mobility;the Recursive Scheme of Clustering;TOPSIS-Inspired Socio-cognitive Mutation Operator for Metaheuristics;feature-Based Drift Detection in Non-stationary Data Streams Using Multiple Classifiers: A Comprehensive Analysis;a Feature Transformation Technique for Improving Ensemble Learning Systems;explainable Artificial Intelligence to Improve Interpretability in Predictive Mutation Testing;an Analysis of Class Imbalance Challenges in Predictive Mutation Testing;efficient Vietnamese Name Detection Using Highly Discriminative N-Gra
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