Vol. 49 No. 14 (2025): Online-only issue

Published: 2025-03-06

Enhancing Machine Learning and Deep Learning Models for Depression Detection: A Focus on SMOTE, RoBERTa, and CNN-LSTM

Chaimae Taoussi, Soufiane Lyaqini, Abdelmoutalib Metrane, Imad Hafidi
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Optimization of Mechanical Manufacturing Processes Via Deep Reinforcement Learning-Based Scheduling Models

Yundong Zhao
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Improved SIFRANK for Efficient Media Hotspot Mining in Social Networks

Jun Zhang, Yuke Cai
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Application and Optimization of Convolutional Neural Networks Based on Deep Learning in Network Traffic Classification and Anomaly Detection

Yanjie Wang, Lei Song
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Using DTL-MD with GANs and ResNet for Malicious Code Detection

Yiming Li, Tao Xie, Dongdong Mei
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GAN-Based Financial Data Generation and Prediction: Improving The Authenticity and Prediction Ability of Financial Statements

Feng Qi
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Hybrid CatBoost and SVR Model for Earthquake Prediction Using the LANL Earthquake Dataset

Arush Kaushal, Ashok Kumar Gupta, Vivek Kumar Sehgal
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Improved Memory Efficient Computing Unit DWT Architecture For Satellite Images

Azhagu Jaisudhan Pazhani, Gunasekaran Perumalsamy, A. Rameshbabu
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Research on Sign Language Recognition for Hearing-Impaired People Through the Improved YOLOv5 Algorithm Combining CBAM with Focal CioU

Niqin Jing, Yi Hu, Yanxia Wang
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Deciphering COVID-19 Narratives: A Comparative Study of ML Models (RF, MNB, GB, LR, SVM) and DL Models (CNN, Bi-LSTM) for News Article Classification

Kana Das, Md. Asadullah, Md. Murad Hossain, Annita Siddeka Tanni, Shahidul Islam, Masudul Islam, Mst Sharmin Akter Sumy
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Damage Identification of Prestressed Concrete Components Based on Machine Learning Optimization Algorithm and Piezoelectric Wave Measurement

Hongtao Zhu, Shuyun Guo
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Self-Learning Model for Pattern Recognition in Vision System Based on Adaptive Kernel

Aradea Aradea, Rianto Rianto, Nina Herlina, Irani Hoeronis
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A Learning-Based Ensemble Algorithm with Optimal Selection for Outlier Detection

Girish Reddy Ginni, Srinivasa Chakravarthi Lade
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An Enhanced Aspect-Based Sentiment Analysis Model Based on RoBERTa For Text Sentiment Analysis

Amit Chauhan, Aman Sharma, Rajni Mohana
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Comparative Analysis of ARDL, LSTM, and XGBoost Models For Forecasting The Moroccan Stock Market During The COVID-19 Pandemic

Mohamed Hassan Oukhouya, Nora Angour, Noureddine Aboutabit, Imad Hafidi
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Optimization-Driven Deep Learning Framework for Ethnic Instrumental Music Style Recognition and Cross-Cultural Semantic Dissemination

Shiwei Zhao, Haidi Zhao
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A Closed-Loop Intelligent Control Framework for Automated Railway Shunting in Marshalling Yards

Lei Liu
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Hybrid CNN–SVM and Multi-Strategy Collaborative Optimization for Secondary System Configuration in Smart Grid Substations

Yihan Zhu
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A Multi-Task GRU-Attention Model for Predicting Enterprise Investment and Financing Behavior from Multi-Source Economic Data

Lei Gu, Tao Liu
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Clothing Pattern Structure Modeling and Reconstruction via Multi-Module Fusion Graph Neural Networks with Path Planning and Reinforcement Learning

Yanfang Duan
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GCN–LSTM Analysis of Spatiotemporal Evolution of Node Centrality in Tourism Flow Networks

Henan Jia, Dongfeng Chen
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A Transformer-Based Multimodal Semantic Retrieval Model for Business Intelligence Systems

Jigang Xie
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Graph-Attention Fusion with VAE Cross-Modal Mapping and Reinforcement-Learning Visualization for Real-Time AR

Cheng Cheng
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A Modular Deep Learning Pipeline (CNN+U-Net+GAN) for Color-Accurate, Cross-Material Digital Textile Printing with Transfer-Learning-Based Material Adaptation

Hua Yan, Huizhi Jiang
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Closed-Loop Building Energy Control via Deep Forecasting, Reinforcement Learning and Evolutionary Multi-Objective Optimization in Hot-Summer/Cold-Winter Zon

Jing He
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Conditioned Denoising Diffusion with Spatial Attention for Controllable 3D Scene Layout Generation and Editing

Kaiwen Zhu, Houmin Wu, Bin Xiao
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Deep Learning-Based Adaptive Recommendation and Multi-Level Security Architecture for Smart Canteen Management Systems

Zhi Wang
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Actor–Critic Deep Reinforcement Learning for Multi-Objective Intelligent Irrigation Scheduling: Algorithm and Edge-Cloud Management System

Peng Huang
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Graph Neural Network and Reinforcement Learning–Based Framework for Real-Time Traffic Congestion Detection and Police Dispatch Using Multi-Source Heterogeneous Data

Shuo Xu, Qilin Mao
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Vol. 49 No. 14 (2025): Online-only issue

Enhancing Machine Learning and Deep Learning Models for Depression Detection: A Focus on SMOTE, RoBERTa, and CNN-LSTM

Optimization of Mechanical Manufacturing Processes Via Deep Reinforcement Learning-Based Scheduling Models

Improved SIFRANK for Efficient Media Hotspot Mining in Social Networks

Application and Optimization of Convolutional Neural Networks Based on Deep Learning in Network Traffic Classification and Anomaly Detection

Using DTL-MD with GANs and ResNet for Malicious Code Detection

GAN-Based Financial Data Generation and Prediction: Improving The Authenticity and Prediction Ability of Financial Statements

Hybrid CatBoost and SVR Model for Earthquake Prediction Using the LANL Earthquake Dataset

Improved Memory Efficient Computing Unit DWT Architecture For Satellite Images

Research on Sign Language Recognition for Hearing-Impaired People Through the Improved YOLOv5 Algorithm Combining CBAM with Focal CioU

Deciphering COVID-19 Narratives: A Comparative Study of ML Models (RF, MNB, GB, LR, SVM) and DL Models (CNN, Bi-LSTM) for News Article Classification

Damage Identification of Prestressed Concrete Components Based on Machine Learning Optimization Algorithm and Piezoelectric Wave Measurement

Self-Learning Model for Pattern Recognition in Vision System Based on Adaptive Kernel

A Learning-Based Ensemble Algorithm with Optimal Selection for Outlier Detection

An Enhanced Aspect-Based Sentiment Analysis Model Based on RoBERTa For Text Sentiment Analysis

Comparative Analysis of ARDL, LSTM, and XGBoost Models For Forecasting The Moroccan Stock Market During The COVID-19 Pandemic

Optimization-Driven Deep Learning Framework for Ethnic Instrumental Music Style Recognition and Cross-Cultural Semantic Dissemination

A Closed-Loop Intelligent Control Framework for Automated Railway Shunting in Marshalling Yards

Hybrid CNN–SVM and Multi-Strategy Collaborative Optimization for Secondary System Configuration in Smart Grid Substations

A Multi-Task GRU-Attention Model for Predicting Enterprise Investment and Financing Behavior from Multi-Source Economic Data

Clothing Pattern Structure Modeling and Reconstruction via Multi-Module Fusion Graph Neural Networks with Path Planning and Reinforcement Learning

GCN–LSTM Analysis of Spatiotemporal Evolution of Node Centrality in Tourism Flow Networks

A Transformer-Based Multimodal Semantic Retrieval Model for Business Intelligence Systems

Graph-Attention Fusion with VAE Cross-Modal Mapping and Reinforcement-Learning Visualization for Real-Time AR

A Modular Deep Learning Pipeline (CNN+U-Net+GAN) for Color-Accurate, Cross-Material Digital Textile Printing with Transfer-Learning-Based Material Adaptation

Closed-Loop Building Energy Control via Deep Forecasting, Reinforcement Learning and Evolutionary Multi-Objective Optimization in Hot-Summer/Cold-Winter Zon

Conditioned Denoising Diffusion with Spatial Attention for Controllable 3D Scene Layout Generation and Editing

Deep Learning-Based Adaptive Recommendation and Multi-Level Security Architecture for Smart Canteen Management Systems

Actor–Critic Deep Reinforcement Learning for Multi-Objective Intelligent Irrigation Scheduling: Algorithm and Edge-Cloud Management System

Graph Neural Network and Reinforcement Learning–Based Framework for Real-Time Traffic Congestion Detection and Police Dispatch Using Multi-Source Heterogeneous Data

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