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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
2025-01-10
All 12 papers published in JAIT Vol. 15, No. 10 have been indexed by Scopus.
2024-12-23
JAIT Vol. 15, No. 12 has been published online!
2024-06-07
JAIT received the CiteScore 2023 with 4.2, ranked #169/394 in Category Computer Science: Information Systems, #174/395 in Category Computer Science: Computer Networks and Communications, #226/350 in Category Computer Science: Computer Science Applications
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Published Issues
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2024
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Evaluating Image-to-Image Translation Techniques for Simulating Physical Conditions of Traffic Signs
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Advanced Machine Learning in Quantitative Finance Using Graph Neural Networks
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A Dual-Branch Lightweight Model for Extracting Characteristics to Classify Brain Tumors
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Automation of the Labeling Process Using an Image Classification Model Using Convolutional Neural Networks
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An Application for User Indoor Movement Logs Using Bluetooth Beacons
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Improvement of Packet Delivery Ratio in MANET Using ADLR: A Modified Regularization-Based Lasso Regression
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Effective Approaches for Intrusion Detection Systems in the Face of Low-Frequency Attacks
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Smart Technologies for Whole Life Asset Management
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Exploring Non-Euclidean Approaches: A Comprehensive Survey on Graph-Based Techniques for EEG Signal Analysis
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Determining Intent: Sentiment Analysis Based on the Classification of Indonesian Tourist Destination Review Texts
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AI-Based Detection of Legal Violation for Shared Electric Scooters
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A Bio-Inspired Feature Selection and Ensemble Classification for DDoS Detection in Cloud
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Instance Segmentation of Road Marking Signs Using YOLO Models
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A Hybrid Approach for Deep Generative Handwritten Arabic Text Recognition
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A Nature Inspired Optimization for Retinal Lesion Detection
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LLM4QA: Leveraging Large Language Model for Efficient Knowledge Graph Reasoning with SPARQL Query
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Optimizing Deep Learning Efficiency through Algorithm-Hardware Co-design
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Machine Learning to Detect Fungal Infections in Stored Pome Fruits via Mass Spectrometry Data: Industry, Economic, and Social Implications
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Efficient Mitosis Segmentation and Detection in Breast Cancer Histopathological Images Using YOLOv5 Model
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A Novel Advanced Performance Ensemble-Based Model (APEM) Framework: A Case Study on Diabetes Prediction
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Apply a CNN-Based Ensemble Model to Chest-X Ray Image-Based Pneumonia Classification
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Exploration on News Recommendation Model under Machine Learning and Knowledge Graph Technology
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Spectrum Management, Power Optimization and Interference Cancellation in Ultra-Dense Heterogeneous Femtocell Networks
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Mitigating Auto-scaling Delays in Elastic-Docker for Better Responsiveness of Burst and Dynamic Workloads
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Harnessing Social Media Sentiment Analysis for Wildlife Conservation
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Deep Alternate Kernel Fused Self-Attention Model-Based Lung Nodule Classification
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Comparative Analysis of Pre-trained Deep Learning Models for Facial Landmark Localization on Enhanced Dataset of Heavily Occluded Face Images
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Advanced Hybrid and Preprocessing Models for Diagnosis Challenges in Data Classification
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Comparison of Models for Predicting the Number of Calls Received in a Call Center through Time Series Analysis
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Fog-Based Smart Infection Detection System (SIDS) Architecture Using Energy-Efficient Geese Optimization Load Balancing Approach (GOLBA)
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EdgeCutMix Augmentation: Enhancing the Leaf Disease Classification for the Minority Class
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Automated GI Tract Segmentation with U-Net: A Comparative Study of Loss Functions
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A Novel Trans-Dataset Ensemble Architecture for Sign Language Recognition
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Weather Forecasting Using Machine Learning Techniques: Rainfall and Temperature Analysis
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A Study on Cell-Based Algorithms for Nearest-Neighbor Search between Hexagonal Clusters
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Optimized YOLO and Semi-Supervised Fuzzy Graph Convolutional Network (SSFGCN) For Surface Defect Recognition
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Human Emotion Recognition Based on Facial Expression Using Convolution Neural Network
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Automatic Segmentation of Table Tennis Match Video Clips Based on Player Actions for Enhanced Data Acquisition
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Development of Feature Extraction for CT-scan Images in Detecting Auditory Ossicle Erosion
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Secure and Energy-Efficient Edge Computing Platform with Customized RISC-V
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Context-Aware Architecture Fostered Optimized Dual Interactive Wasserstein Generative Adversarial Network and IoT for Healthcare System
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141 items
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