13th Conference on Information Technology and Its Applications

Proceedings of the International Conference CITA 2024

Häftad, Engelska, 2024

AvNgoc Thanh Nguyen,Cong-Phap Huynh,Thanh Thuy Nguyen,Nhien-An Le-Khac,Quang-Vu Nguyen

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This book presents selected papers from the 13th International Conference on Information Technology and its Applications (CITA 2024) which took place on July 19–20, 2024.

Produktinformation

Utgivningsdatum2024-11-08
Mått155 x 235 x 29 mm
Vikt966 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Networks and Systems
Antal sidor551
FörlagSpringer International Publishing AG
ISBN9783031741265

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MiRNA disease associations prediction based on improving feature vectors quality combined with highly reliable negative samples selection.- signBEER Decentralized Optimization with Improved Communication by Signs.- Frequency spatial Feature Fusion Network for Infrared and Visible Image Fusion.- Combining Lora With AR In IoT Enabled Smart Farm Monitoring.- AI Fitness Trainer using 3D Human Pose Estimation and Dynamic Time Warping.- A Non Test Driver Concolic Based Unit Testing Method for Java Projects.- Deep Learning Based Convolutional Neural Network for Crash Severity Prediction.- Enhanced Attention based Multimodal Deep Learning for Product Categorization on E commerce Platform.- Pre trained Self Attention Framework An Efficient Mechanism for Source Separation.- Meta heuristic for a flight service scheduling problem in Viet Nam.- Implementation of a VCO based ADC on TSMC CMOS 65nm for Audio Applications.- Federated Learning of Random Oblique Stumps Tailored on the Raspberry Pi Zero for the ImageNet Challenge.- COMBINATION OF GALE SHAPLEY AND PESA II ALGORITHM IN STUDENT UNIVERSITY MATCH.- Optimising Deep Learning for Wearable Sensor based Fall Detection.- A New Approach for Concept Drift Detection in Visual Data.- cMDTPS Comprehensive Masked Modality Modeling with improved similarity distribution matching loss for Text based Person Search.- Implementing Efficient Memory Based Collaborative Filtering Recommendation Systems Methods for Improving Scalability in Training Phase.- A Case Study Evaluating Improved Performance in Image Classification Through Combination of CBAM and ShuffleNetV2 Model.- BERT based model for Vietnamese Fact Verification Dataset.- Statistical vs Neural Machine Translations for Khmer Braille.- Exploring Scalability in Large Scale Time Series in DeepVATS framework.- GEO An Approach for Out of Distribution Detection in Graph Neural Networks using Energy Scoring and One Class Learning.- COLLISION AVOIDANCE PROBLEM FOR ROBOTS IN SMART WAREHOUSES USING A FOCUSED DECENTRALIZED REINFORCEMENT LEARNING MODEL.- Data Augmentation Methods for Cross device Acoustic Scene Classification.- In depth with Spatial Temporal Graph Neural Networks for Traffic Forecasting An overview with Attention.- A group decision model using picture fuzzy rough approximation space.- Sentiment Analysis of Airline Customer Reviews in Vietnamese Language using Deep Learning.- How does Data Augmentation Affect to Model Performance in Long Tailed Classification?.- Improved Tomato Detector Supporting for Automatic Harvesting Systems.- Multi scale Convolutions Meet Group Attention for Dense Prediction Tasks.- Small Object Detection with Attention free Transformer for Aerial Surveillance System.- A Lightweight based Architecture for Nuclei Segmentation in Histopathology Images.- MCST Net A Multi Cross Spatial attention U net with Transformer block for Skin Lesion Segmentation.- Governance in Digital Entrepreneurship Ecosystems A Narrative Review.- Exploring Determinants of E banking Non adoption among Customers A case study in Export Import Commercial Joint Stock Bank, Vietnam.- Factors influencing the organizational commitment of employees in the digital work environment A case of Dak Lak province in Vietnam.- Enhanced the GMr (1,1) Model in Forecasting and Decision – Making.- RadSense Radio Sensing for Crime Monitoring in Restricted Access Areas.- An Effective Unsupervised Cyber Attack Detection on Web Applications using Gaussian Mixture Model.- 5G Core Security An Insider Threat Vulnerability Assessment.- Advancing Security in SDN IoT Networks DL Based Autonomous Anomaly Detection with Enhanced Cross Validation for Poisoning Attack Detection.- Multimodal Deep Learning Feedback for Generating Evasive Malware Samples against Malware Detector.- Advancing Phishing Attack Detection with A Novel Dataset and Deep Learning Solution.