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Internet of Things (IoT) in Smart Systems and Applications
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General Information
ISSN:
1798-2340 (Online)
Frequency:
Monthly
DOI:
10.12720/jait
Indexing:
ESCI (Web of Science)
,
Scopus
,
CNKI
,
etc
.
Acceptance Rate:
12%
APC:
1000 USD
Average Days to Accept:
87 days
Journal Metrics:
Impact Factor 2023: 0.9
4.2
2023
CiteScore
57th percentile
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Editor-in-Chief
Prof. Kin C. Yow
University of Regina, Saskatchewan, Canada
I'm delighted to serve as the Editor-in-Chief of
Journal of Advances in Information Technology
.
JAIT
is intended to reflect new directions of research and report latest advances in information technology. I will do my best to increase the prestige of the journal.
What's New
2024-12-23
JAIT Vol. 15, No. 12 has been published online!
2024-11-27
JAIT Vol. 15, No. 11 has been published online!
2024-10-23
JAIT Vol. 15, No. 10 has been published online!
Home
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Published Issues
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2023
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Maximum Overlap Discrete Transform (MODT)—Gaussian Kernel Radial Network (GKRN) Model for Epileptic Seizure Detection from EEG Signals
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Research on Substation Engineering Estimates Based on BIM-DE-RF
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An Efficient Synchronization Model in Random Word Educational Games with Multiplayer Platforms
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Evaluating the Effectiveness of YOLO Models in Different Sized Object Detection and Feature-Based Classification of Small Objects
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The Improvement of PUF-Based Authentication in IoT Systems
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Implementation of Zero Trust Security to Reduce Ransomware Attacks in the Philippines: A Literature Review
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Handling Class Imbalance in Google Cluster Dataset Using a New Hybrid Sampling Approach
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Secure and Smart Teleradiology Framework Integrated with Technology-Based Fault Detection (CVT-FD)
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Live Memory Forensics Investigations: A Comparative Analysis
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An Algorithm to Optimize Concurrent VoIP Calls Across Wireless Mesh Networks
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An Intelligent Deep Learning Architecture Using Multi-scale Residual Network Model for Image Interpolation
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Towards Flight Delays Reduction: The Effect of Aircraft Type and Part of Day on Arrival Delays Prediction
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Research Opportunities in Microservices Quality Assessment: A Systematic Literature Review
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Emergency Automobile Data Transmission with Ant Colony Optimization (ACO)
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A Model for Deployment of Dedicated Connected Autonomous Vehicle Lanes Considering User Fairness
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A Novel Web Recommendation Model Based on the Web Usage Mining Technique
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OpenPose Technology Based Yoga Exercise Guidance Functions by Hint Messages and Scores Evaluation for Dynamic and Static Yoga Postures
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An Optimized Deep Learning Based Malicious Nodes Detection in Intelligent Sensor-Based Systems Using Blockchain
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Regression-Based Machine Learning Framework for Customer Churn Prediction in Telecommunication Industry
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CRL+: A Novel Semi-Supervised Deep Active Contrastive Representation Learning-Based Text Classification Model for Insurance Data
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Resource Allocation in Cloud Computing
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Analysis of Language Model Role in Improving Machine Translation Accuracy for Extremely Low Resource Languages
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Image Recognition Based on High Accuracy 3D Depth Map Information
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Applying an Image Technology to Estimates Values of Nitrite in Processed Meat Products
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Reducing the Effect of Denial of Service in Web Service Environment
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Adaptive Hybridized Meta-Heuristic Algorithm for Subspace Clustering on High Dimensional Data
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Performance Analysis of ERS Techniques for Next-Generation Opportunistic Networks
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Sequential Decision Making for Elevator Control
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AI Based Secure Analytics of Clinical Data in Cloud Environment: Towards Smart Cities and Healthcare
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Using of Recurrent Neural Network with a Refine Model to Compose Vietnamese Luc-Bat Poems for Human-Robot Verbal Interactions
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MFTs-Net: A Deep Learning Approach for High Similarity Date Fruit Recognition
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Improving Autonomous Vehicle Performance through Integration of an Image Deraining and a Deep Learning-Based Network for Lane Following
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Convolutional Neural Network-Based Fall Detection for the Elderly Person Monitoring
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Community Detection Methods in Library’s Books and Borrowers Social Network Segmentation
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Deep Learning for Glaucoma Detection: R-CNN ResNet-50 and Image Segmentation
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Throughput Prediction in Dense IEEE 802.11 WLANs Using Graph Neural Networks
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Enhancing Sentiment Analysis on Social Media with Novel Preprocessing Techniques
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Smart and Guide Hat for Blind Persons in Smart Cities Using Deep Learning
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Onboard Processing of Drone Imagery for Military Vehicles Classification Using Enhanced YOLOv5
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Towards a Transparent and an Environmental-Friendly Approach for Short Text Topic Detection: A Comparison of Methods for Performance, Transparency, and Carbon Footprint
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Gradient Boosting and LSTM Based Hybrid Ensemble Learning for Two Step Prediction of Stock Market
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Observation-Centric with Appearance Metric for Computer Vision-Based Vehicle Counting
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Improved Model for Skin Illnesses Classification Utilizing Gray-Level Co-occurrence Matrix and Convolution Neural Network
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A Deep Learning Based Effective Model for Brain Tumor Segmentation and Classification Using MRI Images
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Development of an Ensemble Modeling Framework for Data Analytics in Supply Chain Management
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Identification and Classification of Diseases Based on Object Detection and Majority Voting of Bounding Boxes
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M2FRED Analysis Using MobileNet and Siamese Neural Network
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DRLNet: A Deep Reinforcement Learning Network for Hybrid Features Extraction and Spectrum Sensing in Cognitive Radio Networks
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A Framework for Youth Sentiment Analysis Using Natural Language Processing
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Multi-criteria Collaborative Filtering Model Based on Contextual Rating Data
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Leveraging the Training Data Partitioning to Improve Events Characterization in Intrusion Detection Systems
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Flow Analysis of Vehicles on a Lane Using Deep Learning Techniques
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A Novel Sparse Image Reconstruction Based on Iteratively Reweighted Least Squares Using Diagonal Regularization
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Synthetic Financial Time Series Generation with Regime Clustering
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Kazakh Speech Recognition: Wav2vec2.0 vs. Whisper
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An Efficient CSPK-FCM Explainable Artificial Intelligence Model on COVID-19 Data to Predict the Emotion Using Topic Modeling
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Development of Interactive System of Robotic Head
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Enhancing Prediction Accuracy in Gastric Cancer Using High-Confidence Machine Learning Models for Class Imbalance
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Enhancing Depression Prediction Accuracy Using Filter and Wrapper-Based Visual Feature Extraction
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Implementation of Quasi-Newton Method Based on BFGS Algorithm for Identification and Optimization of Signal Propagation Loss Model Parameters
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Vision-Based Monitoring and Control for 3D Printing Process with Dynamic ROI and Path Modification Algorithm
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Neural Network-Based Crowd Counting Systems: State of the Art, Challenges, and Perspectives
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Survival Prediction in Glioblastoma Using Combination of Deep Learning and Hand-Crafted Radiomic Features in MRI Images
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163 items
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