yusuke1997/dblp-id-title huggingface dataset:
Inter-Protocol Fairness Evaluation of DQN-based Congestion Control Algorithms
TFE-NET: Time and Feature focus Embedding Network for Multivariate-to-Multivariate Time Series Forecasting
Predictive Maintenance of Relative Humidity Using Random Forest Method
Continuous Adversarial Text Representation Learning for Affective Recognition
Computational Offloading of Convolutional Neural Network on a Smart Watch
Reverse Engineering the Hamming Code with Automatic Graph Learning
Fused Convolutional Neural Network for White Blood Cell Image Classification
Severity Prediction Based on Connectivity of Vulnerability Information via Related Product Information
UAV-assisted Real-time Data Processing using Deep Q-Network for Industrial Internet of Things
Studies on Intelligent Curation for the Korean Traditional Cultural Heritage
Image Prediction for Lane Following Assist using Convolutional Neural Network-based U-Net
Exploratory Data Analysis for AI-Based Channel Selection for Stable Coastal Maritime Wireless Communications in Emergency Situations
A Method of PV Power Generation Forecasting using Constrained Transformer Network
BiLSTM-Based VAE-GAN for Predicting Future Road States in Autonomous Driving
Gesture recognition with 60GHz 802.11 waveforms
Globally Informative Thompson Sampling for Structured Bandit Problems with Application to CrowdTranscoding
Various Forms of Finite Memory Structure Filter for Discrete-Time State-Space Model
Object Recognition and Distance Extraction System Using Camera
Efficient Blood Pressure Estimation Using Seismocardiogram and Electrocadiogram
Object Management Based on Metadata Registry for Intelligent Mobile Augmented Reality
DHR-CLIP: Dynamic High-Resolution Object-Agnostic Prompt Learning for Zero-shot Anomaly Segmentation
Personal Identification Methods Using Footsteps of One Step
Research and examination on implementation of super-resolution models using deep learning with INT8 precision
Navigating h-Space for Multi-Attribute Editing in Diffusion Models
Deep Reinforcement Learning-based Building Energy Management using Electric Vehicles for Demand Response
Eco-Secure SCADA: Towards Machine Learning Reliability for Green Cybersecurity
Accuracy Performance Analysis of Quantized DNN Models Using Approximate 4-2 Compressor Based Multipliers
Performance Analysis of Delay and Size-Dependent Scheduling for IoT-based Healthcare Traffic Using Heterogeneous Multi-Server Priority Queueing System
A Complete Multi-CPU/FPGA-based Design and Prototyping Methodology for Autonomous Vehicles: Multiple Object Detection and Recognition Case Study
Deep Learning-Based Energy Efficiency Maximization in Massive MIMO-NOMA Networks With Multiple RISs
Positional estimation of invisible drone using acoustic array with A-shaped neural network
Pre-trained Deep Convolutional Neural Network for Detecting Malaria on the Human Blood Smear Images
ML-Based Localizing and Driving Direction Estimation System for Vehicular Networks
Receiver Beacon Transmission Interval Design Using Q-Learning focused on Packet Delivery Rate for Multi-Stage Wireless Sensor Networks
Deep Learning-based Spectral Efficiency Maximization in Massive MIMO-NOMA Systems with STAR-RIS
Distributed Denial-of-Service (DDoS) Detection Using Multitask Learning Based on Deep Learning
AI-Driven Conversational Voice Communication for Maritime Autonomous Surface Ships
Development and Analysis of Multi-WPAN Protocol-Based IoT Network Implementation
ConvELM: Exploiting Extreme Learning Machine on Convolutional Neural Network for Age Estimation
A Time-Stamp Attack on Digital Twin-Based Lithium-ion Battery Monitoring for Electric Vehicles
Machine Learning-Based Service Differentiation in the 5G Core Network
SVR-based Blind Equalization on HF Channels with a Doppler Spread
Early Product Cost Estimation by Intelligent Machine Learning Algorithms
Mitigation Approach for Certain Biases in Survey Scale Input Within AI Control and Decision Systems
Cyber Security in Fog Computing Using Blockchain: A Mini Literature Review
Blockchain-based Energy Transaction Model for Electric Vehicles in V2G Network
Principal Component Analysis Implementation for Signal Processing of Electrochemical Impedance Spectroscopy in the Detection of Fake Fingerprints
Toward Detecting IoT Device Traffic in Transit Networks
An Empirical Study on the Psychological Improvement Effects and Satisfaction of Korean Traditional Painting Generative AI
Automated Classification of Myocardial Infarction Based on Auscultation Position Using Random Forest
Evaluating Backbone Modifications on Capsule Networks for Low-Resolution Image Classification
Exploiting TAS schemes to Enhance the PHY-security in Cooperative NOMA Networks: A Deep Learning Approach
The optimum number of users using sequential Power Allocation on PD-NOMA
Remaining Useful Life Prediction Using an Ensemble Learning-Based Network for a Belt Conveyor System
Pitch Encoder-Based Zero-Shot Voice Conversion for Improving Speech Quality
Side-Channel Resistance Evaluation Method using Statistical Tests for Physical Unclonable Function
A Study on Attack Pattern Generation and Hybrid MR-IDS for In-Vehicle Network
An Empirical Comparison of BERT, RoBERTa, and Electra for Fact Verification
Voltage and Reactive Power Control by Parallel Modified Brain Storm Optimization
Semantic Similarity-based Visual Reasoning without Language Information
Smart platform for Blood Management in Healthcare using AI/ML Approach
Automatic Detection of Hate Speech on Facebook Using Sentiment and Emotion Analysis
Digital Twin and Ontology based DDoS Attack Detection in a Smart-Factory 4.0
SAOR-Based Precoding with Enhanced BER Performance for Massive MIMO Systems
Early-Exiting DNN MIMO Detector Design with Fast Signal Estimation Process
Defect Information Synthesis via Latent Mapping Adversarial Networks
Recognizing human activity using deep learning with WiFi CSI and filtering
GATreg - Graph Attention Networks with Regularization
Understanding Consumer Advertising via Audio Analytics of Sports Videos
A high-speed driver behavior detection deep learning system using the amount of change in contrast between frames
Performance Analysis of Fingerprint Matching Algorithms for Indoor Localization
Food Image Recognition Based on Densely Connected Convolutional Neural Networks
Segmentation Aided Multiclass Tumor Classification in Ultrasound Images using Graph Neural Network
Convolutional Neural Network Approach for Aircraft Noise Detection
Design and implementation of a reference model between services and AI-assisted network
PoolImagen: Text-to-Image Diffusion Models With an Efficient Transformer Without Attention
A Black Box Modeling Technique for Distortion Stomp Boxes Using LSTM Neural Networks
RNN Based Optimal Sensing Schedule Control for Wireless Sensor Networks
Kick-motion Training with DQN in AI Soccer Environment
Time-triggered Network Interface Extension for the Versal Network-an-Chip
Multi-head CNN and LSTM with Attention for User Status Estimation from Biometric Information
Machine learning based SRM control using FPGAs for torque ripple minimization
The Task Collaborative Migration Method for Marine IoT Based on Edge Computing-RESTful Architecture
A Dynamic Machine Learning Model for Accelerated Oil Spill Remediation
Aspect-Based Sentiment Analysis with Semi-Supervised Approach on Taiwan Social Distancing App User Reviews
TatarTTS: An Open-Source Text-to-Speech Synthesis Dataset for the Tatar Language
Analysis of Teaching and Learning Environment for Data Science and AI Education (Focused on 2022 Revised Curriculum)
Design and Evaluation of OTSM(Orthogonal Time Sequency Multiplexing) Communication System in Rayleigh Fading Channel
Model Parameter Identification for DC Motor Using Rapid Control Prototyping System
Goal-Conditioned Reinforcement Learning Approach for Autonomous Parking in Complex Environments
Resource Optimization in Satellite-Based Internet of Things
Generation of Scene Graph and Semantic Image: A Review and Challenge Ahead
Targeted Data Generation in the Continuous Production of Anode Slurries for Lithium-Ion Battery Cells
Monitoring Sleep Posture Based on Temperature and Humidity Sensor
An Efficient Approach for Maintaining and Mining Frequent Episodes
Free-Head Appearance-Based Eye Gaze Estimation on Mobile Devices
Are You an Introvert or Extrovert? Accurate Classification With Only Ten Predictors
Influence of the Gratuitous Grants on the Upstream Grants in the Energy Efficient TDM-PONs
Data Aided Sensing with Variational Autoencoder
Kalman Filtering for Feedback Sensor Noise Causing Problem with PID Control's Derivative Action
Attention Based R&CNN Medical Question Answering System in Chinese
An Enhanced RT-DETR with Dual Convolutional Kernels for SAR Ship Detection
Pedestrian Avoidance Simulation by Deep Reinforcement Learning Using Webots
Environment-Aware AoD and AoA Prediction for Wireless Networks Utilizing Machine Learning
A Bilingual Chatbot Using Support Vector Classifier On an Automatic Corpus Engine Dataset
Scalable and Efficient URLLC Resource Allocation Based on Offline Graph Reinforcement Learning
Compacting Deep Neural Networks for Light Weight IoT & SCADA Based Applications with Node Pruning
International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2025, Fukuoka, Japan, February 18-21, 2025
Estimating Twitter user's interest for inviting potential participants into Web-based debate platforms based on BERT
Exploiting Secure Multi-Hop Transmissions with NOMA Networks: Performance Analysis
Predicting Port Congestion at Busan Port Using Machine Learning Algorithms and Temporal Variables
Aspect Extraction for Tourist Spot Review in Indonesian Language using BERT
Graph Neural Networks to Enable Scalable MAC for Massive MIMO Wireless Infrastructure
Intelligent Solenoid Pump Fault Detection based on MFCC Features, LLE and SVM *
Preliminary Design for Development of Detachable Test Automation System Based on AUTOSAR
Empirical Measurement of Performance Maintenance of Gradient Boosted Decision Tree Models for Malware Detection
A Survey of Deep Learning and Its Application in Distribution Network
Multi-Scale Proposal Regions Fusion Network for Detection and 3D Localization of the Infected Trees
TinyML: A Systematic Review and Synthesis of Existing Research
Detection of Morphological Characteristics of Atrial Fibrillation Using Semantic Segmentation
Impact of Source Coding on Downstream AI Applications
An Automatic Vehicle Speed Control System with Consideration of Various Uncertainties *
Advancing AI Voice Synthesis: Integrating Emotional Expression in Multi-Speaker Voice Generation
RISC-VR-Extension: Advancing Efficiency with Rented-Pipeline for Edge DNN Processing
Generative Adversarial Networks Based on Edge Computing With Blockchain Architecture for Security System
Small Object Detection using Context and Attention
Face Verification Using mmWave Radar Sensor
Enhancing GAN-Based Motion Data Augmentation Through Dynamic Time Warping Distance Filtering
Implementation LSTM Algorithm for Cervical Cancer using Colposcopy Data
GAN-based Data Augmentation for UWB NLOS Identification Using Machine Learning
Insights from a Spatiotemporal Analysis of Top-Performing Bangkok Taxis
Double Deep Q-Learning based Backhaul Spectrum Allocation in Integrated Access and Backhaul Network
3D Nanoscale Tracking Data Analysis for Intracellular Organelle Movement using Machine Learning Approach
Generative Artificial Intelligence for Industry: Opportunities, Challenges, and Impact
HabagatPlus: Providing Recommendations for Localized Class Suspension in Schools During Inclement Weather Conditions Using Naive Bayes Classifier
Secure Dynamic Spectrum Access in Internet-of-Things Based on Machine Unlearning
LSTM Based Analysis of Sequential Usage Pattern for Electrical Appliance
A New JPEG Compression Algorithm for Transmission, Processing and Storage of Health Data
International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2023, Bali, Indonesia, February 20-23, 2023
Low-Power High-Speed CNN Accelerator with Matrix Reodering Techniques for Small Footprint Memory Access
Accelerating Convergence in Distributed Reinforcement Learning via Asynchronous PPO
Solar-Powered Speed Display System Using Image-Based Speed Detection on an Edge AI Camera
Evaluation of Machine-Made Scores for Music Games Generated by a Deep Neural Network
Design of an Efficient Parallel Random Number Generator Using a Single LFSR for Stochastic Computing
Two-Policy Cooperative Transfer for Alleviation of Sim-to-Real Gap
Patch-wise Weakly Supervised Learning for Object Localization in Video
Pioneering AI in Chemical Data: New Frontline With GC- MS Generation
Differential Image-based Fast and Compatible Convolutional Layers for Multi-core Processors
Advancing Skin Cancer Detection: Integrating Attention-Driven Transfer Learning and Autoencoder-Decoder Fusion
Learning the Protein Language Model of SARS-CoV-2 Spike Proteins
Concatenated Channel Coding with Ring Structure in Screen-Camera Links
Dilated Causal Convolution Based Human Activity Recognition Using Voxelized Point Cloud Radar Data
Adaptation Plan Policy in Traffic Routing for Priority Vehicle
Detecting Mango Leaf Diseases Using Google Teachable Machine for Sustainable Agriculture
Human Activity Recognition and Prediction Based on Wi-Fi Channel State Information and Machine Learning
Machine Learning Based 5G Network Slicing Management and Classification
Robustness of Deep Learning enabled IoT Applications Utilizing Higher Order QAM in OFDM Image Communication System
Simplified Experimental Evaluation of Radio Emitter Localization Using UAV-Based Sensors
Systematic Review on Sustainable Design Thinking Through Biomimetic Approach
Fast Verilog Simulation using Tel-based Verification Code Generation for Dynamically Reloading from Pre-Simulation Snapshot
Text-to-Image Conditional GAN-Based Floor Plan Generator
From Radio Signals to Spatial Maps: End-to-End Learning for Virtual Anchor Mapping
Image Synthesis with Single-type Patterns for Mixed-type Pattern Recognition on Wafer Bin Maps
An Integrated Approach to Near-duplicate Image Detection
Biological Validation of Attribute Classification of Cell Nuclei in Three-Dimensional Myocardial Tissue Images of Mice
Machine Learning-Based Beamforming in Two-User MISO Interference Channels
Improving Multi-Class Classification with Machine Learning and Metaheuristic Algorithm
Waveform-based End-to-end Deep Convolutional Neural Network with Multi-scale Sliding Windows for Weakly Labeled Sound Event Detection
Recursive Feature Elimination for Machine Learning-based Landslide Prediction Models
Proximity-Driven Light Intensity Modulation for Enhanced Bidirectional Optical Camera Communication
Image Quality Enhancement with Machine Learning Based Multi-Step Super-Resolution
MAC Protocol Adaptation Method in Coordination with Application
Computer Code Representation through Natural Language Processing for fMRI Data Analysis
Automated Tomato Harvesting System Using AI
Quantum AI-Enhanced Deep Reinforcement Learning for Real-Time Adaptive Beamforming in Next-Generation Terahertz Communication Systems
Dynamic Federated Learning Aggregation for Enhanced Intrusion Detection in IoT Attacks
Cluster Quantity Distinguished by Geometric Angle Measurement
Optimal Placement of Foot Pressure Sensors for Lower-Limb Exoskeletons Based on Multi-Objective Particle Swarm Optimization Algorithm
Federated Learning and RAG Integration: A Scalable Approach for Medical Large Language Models
Deep Learning-Based Energy Efficiency Maximization in Multi-STAR-RIS-Assisted Massive MIMO-NOMA Networks
A Review on AI-Enabled Content Caching in Vehicular Edge Caching and Networks
Multi-network based MAC Protocol Identification with Decision Fusion
MAC Protocol Design Optimization Using Deep Learning
A federated binarized neural network model for constrained devices in IoT healthcare services
Smart Process Failure Analysis based on Bayesian Networks and Knowledge Graphs
Improved Adaptive Integer form of Population-Based Incremental Learning and Reactive Tabu Search for an Integrated Energy Supply and Demand Optimization Framework in Factories
Evaluation of Deep Learning Approaches for Pitch Scoring in Piano Practice and Performance
A Review on Unmanned Aerial Vehicle-based Networks and Satellite-based Networks with RSMA: Research Challenges and Future Trends
Towards a Cybersecurity Investment Assessment method using Primitive Cognitive Network Process
FPGA Implementation of Channel Codec for Optical Intersatellite Link Communication System
Machine Learning-Based Power Loading for Massive Parallel Gaussian Channels
ChatGPT for Visually Impaired and Blind
Informational Linguistics: Computer, Internet, Artificial Intelligence and Language
Prediction of Network Throughput using ARIMA
Radar Fault Detection via Camera-Radar Branches Learning Network
Controlling the Communication Overhead of Source Location Privacy Protocols in Multi-hop Communication Wireless Networks
Visualization Algorithm for Cargo Stowage Optimization of Vehicle Carriers
Measurement-based Spectrum Database for Wireless Distributed Networks Using Shadowing Classifier
A Hybrid Method for Clinical Text Classification Based on Confident Predictions and Regular Expressions
Neural Network-Aided Cell Selection and Handover in Cellular Networks with Carrier Aggregation
Performance of Joint Channel Estimation and Spreading Sequence Detection for DSSS Systems
Implementation of Computation-Efficient Sensor Network for Kalman Filter-based Intelligent Position-Aware Application
A Generative Adversarial Network Approach to Metastatic Cancer Cell Images
Effect of Optimization Techniques on Feedback Alignment Learning of Neural Networks
Reinforcement Learning for Predicting Traffic Accidents
Provably Efficient and Fast Technique for Determining the Size of a Brain Tumor in T1 MRI Images
2D Fluid Flows Prediction Based on U-Net Architecture
Machine Learning Implementation in Lung Cancer Prediction - A Systematic Literature Review
Gene Expression Based Tumor Purity Estimation and Individual-Specific Survival Tool in Skin Cutaneous Melanoma
Federated Learning of Wireless Network Experience Anomalies Using Consumer Sentiment
Artificial Intelligence Applications for Resilience in Manufacturing - A Systematic Literature Review
Using Convolutional Neural Networks for Smart Classroom Observation
Preventive Maintenance Techniques through Learning-based Remaining Useful Lifetime Prediction in IoT Sensor Networks: The Survey
On Modern Text-to-SQL Semantic Parsing Methodologies for Natural Language Interface to Databases: A Comparative Study
Guidewire Tip Tracking using U-Net with Shape and Motion Constraints
Image Features Reordering and Adjustment to Mitigate the Transferability Effect of Adversarial Attacks for Autonomous Driving Cars
Improved Sampling Methods for Evaluation of Classification Performance
Federated Learning with Privacy-Preserving Active Learning: A Min-Max Mutual Information Approach
iVoiding: A Thermal-Image based Artificial Intelligence Dynamic Voiding Detection System
Parallel Corpus Curation for Filipino Text-to-SQL Semantic Parsing
Priority Adversarial Example in Evasion Attack on Multiple Deep Neural Networks
Exploring Image-Based Approaches for Effective Synthetic Time-Series Data Generation
Research on Renewable Energy Conversion System Utilizing Harmful Gases in Poultry Farms
Photovoltaic Cell Defect Detection Model based-on Extracted Electroluminescence Images using SVM Classifier
Similarity-based Local Feature Extraction for Wafer Bin Map Pattern Recognition
Target Detection using U-Net for a DTV-based Passive Bistatic Radar System
Interpretable Anomaly Detection for Lung Sounds Using Topology
Two-dimensional Beam Selection for Multi-user Massive MIMO System Based on Multi-armed Bandit Algorithm
Development of an Inaudible Sound Communications System Based on a Machine Learning Approach
A Study on the Design of a Melon Fruit Size Prediction System Using GDD and Integrated Solar Radiation
Preliminary Work on Automatic ARXML Generation for SOME/IP in AUTOSAR Classic Platform
Applying GNN Models for Diverse Disaster Detection using Temporal Knowledge Graphs
Dynamic Bandwidth Allocation Scheme for Wireless Networks with Energy Harvesting Using Actor-Critic Deep Reinforcement Learning
1D CNN based network intrusion detection with normalization on imbalanced data
Learning Human Vehicle Interactions using Simulated Data
HiClassGen: High-Resolution Image Augmentation with Class and Shape Controllable Diffusion Models
PPO Framework for Efficient Freight Dispatch in Dynamic Logistics Environments
Text Preprocessing Approaches in CNN for Disaster Reports Dataset
Heart Disease Prediction Using Adaptive Infinite Feature Selection and Deep Neural Networks
Security and Privacy Challenges in Semantic Communication Networks
Indoor Space Flow Analysis Based on Deep Learning
DrAgent: An Agentic Approach to Fault Analysis in Power Grids Using Large Language Models
Praetorian: Probabilistic Planning for Radio Access Network Slice Assurance
A Classroom Atmosphere Management System for Analyzing Human Behaviors in Class Activities
LearnRAG: Implementing Retrieval-Augmented Generation for Adaptive Learning Systems
Robust Shared Lateral Control for Autonomous Vehicles
An Generational SDE based Indicator for Multi and Many-objective optimization
Automatic Detection of Epileptic Focus in Ripple and Fast Ripple Bands of Interictal iEEG based on Multi-band Analysis
DDPG-Edge-Cloud: A Deep-Deterministic Policy Gradient based Multi-Resource Allocation in Edge-Cloud System
Coresets for PCB Character Recognition based on Deep Learning
Integrated System of Vehicle and Passenger Manifests in Port Based on IoT
Rendering 3D CT Scans through 3D Gaussian Splatting Initialized with Points Sampled by Cube-Based Neural Radiance Fields
A Deep Learning-Based SAR Ship Detection
Thermal Array Sensor Resolution-Aware Activity Recognition using Convolutional Neural Network
Effects of annotation quality on model performance
RNN-based Deep Learning for One-hour ahead Load Forecasting
Comparison of CNN-based Speech Dereverberation using Neural Vocoder
The Role of Network Segmentation and Micro-Segmentation in Operational Technology Security
DefectDiffusion: A Generative Diffusion Model for Robust Data Augmentation in Industrial Defect Detection
Deep Reinforcement Learning-Assisted Resource Allocation for Fluid Antenna System: Overview, Research Challenges and Future Trends
A Study on the Fatigue Evaluation Platform using Bio-signal based on Artificial Neural Network
A Study on the Prediction of Horticultural Paprika Crop Growth in Artificial Intelligence Infrastructure
Deep Q-learning for 5G network slicing with diverse resource stipulations and dynamic data traffic
Automatic Approach for Cervical Cancer Detection Based on Deep Belief Network (DBN) Using Colposcopy Data
Hand Gesture Classification based on Short-Time Fourier Transform of Inaudible Sound
Group-based Transmission Scheduling Scheme for Building LoRa-based Massive IoT
Multi-Unit Based IRS Supported Non-Line-of-Sight Communication for Signal Quality Performance Improvement
A Deep Learning based Scene Recognition Algorithm for Indoor Localization
Differentially-Private Text Generation via Text Preprocessing to Reduce Utility Loss
Development of AI Educational Datasets Library Using Synthetic Dataset Generation Method
Implementation of WiFi Communication on Multi UAV for Leader-Follower Trajectory based on ROS
Hybrid Deep Learning Architectures for Histological Image Segmentation
Research Opportunity of Insider Threat Detection based on Machine Learning Methods
Cyclostationary based full-duplex spectrum sensing using adversarial training for convolutional neural networks
Design of Greenhouse Automated Carbon Cycling System for Carbon Savings
Optimal Partitioning of Distributed Neural Networks for Various Communication Environments
ISVAM : Interslice Variation Attention Module for 2.5D Multi-Organ Segmentation in CT
Enhancing Diabetes Diagnosis and Complications Prediction with Automated Machine Learning in a Clinical Decision Support System
AI-Based Intrusion Detection System for Secure AI BOX Applications
Variable Neighborhood Search Based on Reinforcement Learning for Green Vehicle Routing Problem