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16th International Conference on Computer and Knowledge Engineering 42 Days
16th International Conference on Computer and Knowledge Engineering
Conference start date : 2026-12-10
Conference end date : 2026-12-10
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List of archived papers
Attentional Bi-LSTM for Multivariate Time Series Forecasting on Edge Devices: A Case Study on NanoPi Neo Plus2
Attentional Bi-LSTM for Multivariate Time Series Forecasting on Edge Devices: A Case Study on NanoPi Neo Plus2
Navid Hajizadeh - Saeed Yazdani - Sara Ershadi-Nasab
Efficient T-Count Fault-tolerant Quantum Clifford+T Multiplexer
Efficient T-Count Fault-tolerant Quantum Clifford+T Multiplexer
Negin Mashayekhi - Shekoofeh Moghimi - Mohammad Reza Reshadinezhad
SUBoost: A Novel Boosting-Based Selective Undersampling for handling Imbalanced Data
SUBoost: A Novel Boosting-Based Selective Undersampling for handling Imbalanced Data
Nima Rasi Baghmishe - Jafar Tanha - Ehsan Roshan
Age Estimation Based on Facial Images Using Hybrid Features and Particle Swarm Optimization
Age Estimation Based on Facial Images Using Hybrid Features and Particle Swarm Optimization
NILOUFAR MEHRABI - SAYED PEDRAM HAERI BOROUJENI
A Comparative Analysis of Clinical Note Categories for Mortality Prediction in ICU Patients
A Comparative Analysis of Clinical Note Categories for Mortality Prediction in ICU Patients
Maryam Karrabi - Mohsen Kahani - Mina Afzali - Nadieh Armin
Extracting structural clusters from NMF feature matrix using Cosine Similarity-Based Weighted Voting
Extracting structural clusters from NMF feature matrix using Cosine Similarity-Based Weighted Voting
Mehdi Rahimi - Keyhan Khamforoosh - Vafa Maihami
Prediction of rTMS Treatment Response in Depression Using a Frequency-Based EEG Biomarker
Prediction of rTMS Treatment Response in Depression Using a Frequency-Based EEG Biomarker
Ali Asadi Zeidabadi - Saeid Rashidi
TriFuse-PdM: High-Fidelity Machine Failure Prediction Using Hybrid Resampling and Model Calibration
TriFuse-PdM: High-Fidelity Machine Failure Prediction Using Hybrid Resampling and Model Calibration
Saghar Shafaati - Javad Mohammadzadeh
Intracranial Hemorrhage Classification using CBAM Attention Module and Convolutional Neural Networks
Intracranial Hemorrhage Classification using CBAM Attention Module and Convolutional Neural Networks
Parnian Rahimi - Marjan Naderan - Amir Jamshidnezhad - Shahram Rafie
Android Malware Detection using Supervised Deep Graph Representation Learning
Android Malware Detection using Supervised Deep Graph Representation Learning
Fatemeh Deldar - Mahdi Abadi - Mohammad Ebrahimifard
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