| Code No. |
Project Title |
Base Paper |
Payment |
Video |
| PY01 |
Fault Protection in Microgrid Using Wavelet Multiresolution Analysis and Data Mining (IEEE 2021) |
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| PY02 |
Design of Multi-Functional Access Control System (IEEE 2021) |
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| PY03 |
Will EU’s GDPR Act as an Effective Enforcer to Gain Consent? (IEEE 2021) |
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| PY04 |
Periods and classifications of RR Lyrae stars in the globular cluster M15 (IEEE 2021) |
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| PY05 |
Client Puzzle Protocols as Countermeasure Against Automated Threats to Web Applications (IEEE 2021) |
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| PY06 |
Employing Blockchain Technology to Strengthen Security of Wireless Sensor Networks (IEEE 2021) |
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| PY07 |
Construct Food Safety Traceability System for People’s Health Under the Internet of Things and Big Data (IEEE 2021) |
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| PY08 |
Construct Food Safety Traceability System for People’s Health Under the Internet of Things and Big Data (IEEE 2021) |
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| PY08 |
Highly Contrast Image Correction for Dim Boundary Separation of Image Semantic Segmentation (IEEE 2021) |
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| PY09 |
Safe and Reusable Approach for Pin-to-Port Assignment in Multiboard FPGA Data Acquisition and Control Designs(IEEE 2021) |
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| PY10 |
A Facial Expression Recognition Method Based on a Multibranch Cross-Connection Convolutional Neural Network (IEEE 2021) |
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| PY11 |
Seo Analysis Using Python Webscraping (IEEE 2021) |
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| PY12 |
Seo Analysis Using Python Webscraping (IEEE 2021) |
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| PY13 |
Deep Neural Networks for Predicting Solar Radiation at Hail Region, Saudi Arabia (IEEE 2021) |
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| PY13 |
Automatic Exam Correction Framework (AECF) for the MCQs, Essays, and Equations Matching(IEEE 2021) |
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| PY14 |
Automatic Exam Correction Framework (AECF) for the MCQs, Essays, and Equations Matching(IEEE 2021) |
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| PY15 |
A PyMOL Snippet Library for Jupyter to Boost Researcher Productivity (IEEE 2021) |
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| PY16 |
Clustering Introductory Computer Science Exercises Using Topic Modeling Methods (IEEE 2021) |
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| PY17 |
An Intelligent Data Mining-Based Fault Detection and Classification Strategy for Microgrid (IEEE 2021) |
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| PY18 |
A Facial Expression Recognition Method Based on a Multibranch Cross-Connection Convolutional Neural Network (IEEE 2021) |
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|
| PY01 |
A Facial Expression Recognition Method Based on a Multibranch Cross-Connection Convolutional Neural Network(IEEE 2021) |
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|
| PY19 |
A Facial Expression Recognition Method Based on a Multibranch Cross-Connection Convolutional Neural Network(IEEE 2021) |
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| PY20 |
Distributed Support Vector Machines Over Dynamic Balanced Directed Networks (IEEE 2021) |
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| PY21 |
Koopman Operator Based Modeling for Quadrotor Control on SE(3) (IEEE 2021) |
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| PY22 |
Horus: Interference-Aware and Prediction-Based Scheduling in Deep Learning Systems (IEEE 2021) |
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| PY23 |
Machine Learning for the Control of Prosthetic Arms: Using Electromyographic Signals for Improved Performance (IEEE 2021) |
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| PY24 |
A machine learning approach for GRB detection in AstroSat CZTI data (IEEE 2021) |
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| PY25 |
A Generic Data Analytics System For Manufacturing Productions
|
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| PY26 |
Linear aggreecation using python
|
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| PY27 |
Leaf Disease Detection
|
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| PY28 |
A Fast Content-Based Spam Filtering Algorithm With Fuzzy-Svm And K-Means |
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| PY29 |
Exploring Colorectal Cancer Genes Through Data Mining Techniques
|
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| PY30 |
Data Mining Technique With Cluster Analysis Use K-Means Algorithm For Lq45 Index On Indonesia Stock Exchange |
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| PY31 |
Using Data Mining Approaches To Build Credit Scoring Model |
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| PY32 |
A Financial Statement Fraud Detection Model Based On Hybrid Data Mining Methods
|
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| PY33 |
Ship Traffic Flow Prediction Based On Ais Data Mining
|
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| PY34 |
Algorithm Optimization Of Anomaly Detection Based On Data Mining |
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| PY35 |
A Framework For Sentiment Analysis With Opinion Mining Of Hotel Reviews |
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| PY36 |
Big Data Platform For Air Quality Analysis And Prediction |
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| PY37 |
A Data Mining Based Model For Detection Of Fraudulent Behaviour In Water Consumption |
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| PY38 |
Extracting disaster characteristics using text mining |
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| PY39 |
Classification Algorithm For Edible Mushroom Identification |
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| PY40 |
Data Analytics Approach For Train Timetable Performance Measures Using Automatic Train Supervision Data |
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