Journal of Applied Science and Engineering
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Tamkang University
Tamkang University
TKU Press
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Journal of Applied Science and Engineering
Published by Tamkang University Press
1.30
Impact Factor
2.10
CiteScore
Computer Science and Information Engineering
Computer Science and Information Engineering
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Title
Weighted Deep Learning Approach for Better Forecasting
TFMNet: Trimap-free real-time image matting algorithm based on deep learning
A New Approach for a Tsunami Early Warning System Based on Maritime Wireless Communication, Case Study, Pangandaran, Indonesia
Boundary-preserving superpixel segmentation
Some Characteristics of Completeness Property in Fuzzy Soft b−Metric Space
Tempo Recognition of Kendhang Instruments Using Hybrid Feature Extraction
An IoT-enabled Healthcare Framework for Wireless Body Region 2 Networks Using the Gravitational Search Algorithm
Improving visual quality of CT Images through enhancement of base and detail layers
H-GAT: A Hardware-Efficient Accelerator for Graph Attention Networks
Clustering-Based Outlier Detection Technique Using PSO-KNN
Sensor Condition Monitoring Incorporating Fault-tolerant Control
Analysis Of Mobile Users’ Activities Using 2 Mean-Normalization Method
A Novel U-Net Model Based on Multi-channel Attention Mechanism for Art Aesthetics Image Automatic Segmentation in Design
Quantized Output Observer-based Data Driven Model-free Adaptive Control
Emotion Recognition Based On Electroencephalogram Signals Using Deep Learning Network
A Method Based on Weighted Least Squares for Estimating Voltage of Distribution Network System Integrated with Distributed Generations Using Remote Measurement Data
Reward-weighted DHER Mechanism For Multi-goal Reinforcement Learning With Application To Robotic Manipulation Control
Multi-modal Human-Computer Virtual Fusion Interaction In Mixed Reality
Using The Support Vector Regression Model With IGWO And DA Algorithms To Predict High-performance Concrete’s Compressive Strength
Supply Chain Optimization Of Small And Medium-sized Enterprises Based On Evolutionary Game Model
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2.1
2023
CiteScore
69
th
percentile
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