Ieee phython projects titles,best final year students doing ieee projects and abstracts,many ieee projects titles for image processing,natural language processing,machine learning.phython ieee project list.
MACHINE LEARNING
- ML001-Robust Malware Detection for Internet Of (Battlefield) Things Devices Using Deep Eigenspace Learning
- ML002-Generating multimedia storyline for effective disaster information awareness
- ML003- Subway passenger flow forecasting with multi-station and external factors
- ML003-Serendipitous recommendation in e- commerce using innovator –based collaborative filtering
- ML004- Trace Quotient with Sparsity Priors for Learning Low Dimensional Image Representations
- ML005- Semi-Supervised K-Means DDoS Detection Method Using Hybrid Feature Selection Algorithm
- ML006- Semi-Supervised Hotspot Detection with Self-Paced Multi-Task Learning
- ML007- Semi-Supervised Self-Training Method Based on An Optimum-Path Forest
- ML007- Serendipity—A machine-learning application for mining serendipitous drug usage from social media
- ML0078 Predicting the Top-N Popular Videos via a Cross-Domain Hybrid Model
- ML008-A Generic Human–Machine Annotation Framework Based on Dynamic Cooperative Learning
- ML009-Object visual detection for intelligent vehicles
- ML010- Phishing Email Detection Using Improved RCNN Model With Multilevel Vectors and Attention Mechanism
- ML011- Urban street cleanliness assessment using mobile edge computing and deep learning
- ML012- Automatic visual features for writer identification a deep learning approach
- ML013- Analysis of women safety in indian cities using machine learning on tweets
- ML014- Feature extraction for next-term prediction of poor student performance
- ML015- Phishing Email Detection Using Improved RCNN Model With Multilevel Vectors and Attention Mechanism
- ML016- correlated matrix factorization for recommendation with implicit feedback
- ML017- Nonintrusive Smartphone User Verification Using Anonymized Multimodal Data
- ML018- Efficient Vertical Mining of High Average-Utility Itemsets based on Novel Upper-Bounds
- ML019- Serendipity—A machine-learning application for mining serendipitous drug usage from social media
- ML020- Towards Safe Weakly Supervised Learning
- ML021- Personalized affective feedback to address students’ frustration in ITS
- ML022- Machine Learning-based Error Detection and Design Optimization in Signal Integrity Applications
- ML023- Adaptive Safe Semi-Supervised Extreme Machine Learning
- ML024-Hitboost survival analysis via a multi-output gradient boosting decision tree method
NATURAL LANGUAGE PROCESSING
- NLP001- A nodes’ evolution diversity inspired method to detect anomalies in dynamic social networks
- NLP002- Read, Watch, Listen, and Summarize: Multi-Modal Summarization for Asynchronous Text, Image, Audio and Video
- NLP003- Detection of Depression-Related Posts in Reddit Social Media Forum
- NLP004-Sentiment lexicon construction with hierarchical supervision topic model
- NLP005- Personalized recommendation of social images by constructing a user interest tree with deep features and tag trees
- NLP006-A fast scene text detector using knowledge distillation
IMAGE PROCESSING
- IP001- Improving Dataset Volumes and Model Accuracy with Semi-Supervised Iterative Self-Learning
- IP002-Enhanced object detection with deep convolutional neural networks for advanced driving assistance
- IP003- Selective learning confusion class for text-based captcha recognition
- IP004-Recolored Image Detection via a Deep Discriminative Model
- IP005- Multi-task learning for captioning images with novel words
- IP006-Deep Facial Action Unit Recognition and Intensity Estimation from Partially Labelled Data
- IP007-Transfer Neural Trees: Semi-Supervised Heterogeneous Domain Adaptation and Beyond
- IP008-Automatic HTML Code Generation from Mock-up Images Using Machine Learning Techniques
- IP009-Transfer Neural Trees: Semi-Supervised Heterogeneous Domain Adaptation and Beyond