PYTHON MACHINE LEARNING STUDENT 2022-2023

SNO

MACHINE LEARNING PYTHON 2022-2023

OK4MLS01

A Convex Model for Support Vector Distance Metric Learning

OK4MLS02

A Deep Learning Approach to Detect Real-Time Vehicle Maneuvers Based on Smartphone Sensors

OK4MLS03

A Novel Contract Theory-Based Incentive Mechanism for Cooperative Task-Offloading in Electrical Vehicular Networks

OK4MLS04

A Self-play and Sentiment-Emphasized Comment Integration Framework Based on Deep Q-Learning in a Crowdsourcing Scenario

OK4MLS05

Acting as a Decision Maker Traffic-Condition- Aware Ensemble Learning for Traffic Flow

OK4MLS06

An Artificial-Neural-Network-Based Model for Real-Time Dispatching of Electric Autonomous Taxis

OK4MLS07

An Intrusion Detection Method Based on Machine Learning and State Observer for Train-Ground

OK4MLS08

Are We Hungry for 3D LiDAR Data for Semantic Segmentation A Survey of Datasets and Methods

OK4MLS09

BARNet Boundary Aware Refinement Network for Crack Detection

OK4MLS10

BNAS Efficient Neural Architecture Search Using Broad Scalable Architecture

OK4MLS11

A Fused Method of Machine Learning and Dynamic Time Warping for Road Anomalies Detection

OK4MLS12

A Novel System for Nighttime Vehicle Detection Based on Foveal Classifiers With Real-Time Performance

OK4MLS13

Adversarial Reconstruction Based on Tighter Oriented Localization for Catenary Insulator Defect Detection in High-Speed Railways

OK4MLS14

Analysis of Classifier Training on Synthetic Data for Cross-Domain Datasets

OK4MLS15

Behavior2vector Embedding Users’ Personalized Travel Behavior to Vector

OK4MLS16

CoDriver ETA Combine Driver Information in Estimated Time of Arrival by Driving Style Learning Auxiliary Task

OK4MLS17

Cross-Database Micro-Expression Recognition A Benchmark

OK4MLS18

Data-Driven Fault Diagnosis for Traction Systems in High-Speed Trains A Survey, Challenges, and Perspectives

OK4MLS19

Deep Learning for Road Traffic Forecasting Does It Make a Difference

OK4MLS20

Deep Pain Exploiting Long Short-Term Memory Networks for Facial Expression Classification

OK4MLS21

A Knowledge Distillation Ensemble Framework for Predicting Short and Long-term Hospitalisation Outcomes from Electronic Health Records Data

OK4MLS22

An Empirical Review of Deep Learning Frameworks for Change Detection Model Design,

OK4MLS23

Boosted Genetic Algorithm Using Machine Learning for Traffic Control Optimization

OK4MLS24

Data Augmented Deep Behavioral Cloning for Urban Traffic Control Operations Under a Parallel Learning Framework

OK4MLS25

Deep Learning-Based Vehicle Behavior Prediction for Autonomous Driving Applications

OK4MLS26

Deep-Learning-Based Automatic Selection of Fewest Channels for Brain–Machine Interfaces

OK4MLS27

Driver Identification and Verification From Smartphone Accelerometers Using Deep Neural Networks

OK4MLS28

Driver State Monitoring Manipulating Reliability Expectations in Simulated Automated Driving Scenarios

OK4MLS29

Evolving Connections in Group of Neurons for Robust Learning

OK4MLS30

Geographical Information Enhanced Recognition of Traffic Modes and Behavior Patterns

OK4MLS31

A Survey on Resource Allocation in Vehicular Networks

OK4MLS32

Coherence Constrained Graph LSTM for Group Activity Recognition

OK4MLS33

Deep Reinforcement Learning for Intelligent Transportation Systems A Survey

OK4MLS34

Driver Identification Through Formal Methods

OK4MLS35

Fully Decomposed Singular Value and Fixed Dictionary Extreme Learning Machine for Bogie Fault Diagnosis

OK4MLS36

HarMI Human Activity Recognition via Multi-Modality Incremental Learning

OK4MLS37

Hyperspectral Image Classification via Discriminant Gabor Ensemble Filter

OK4MLS38

Introspective Failure Prediction for Autonomous Driving Using Late Fusion of State and Camera Information

OK4MLS39

Light-Field Imaging Reconstruction Using Deep Learning Enabling Intelligent Autonomous Transportation System

OK4MLS40

MM-UrbanFAC Urban Functional Area Classification Model Based on Multimodal Machine Learning

      OK4MLS41

Automated Software Defect Detection and Identification in Vehicular Embedded Systems

OK4MLS42

Detection of Stop Sign Violations From Dashcam Data

OK4MLS43

Global-Local Temporal Convolutional Network for Traffic Flow Prediction

OK4MLS44

Image Hallucination From Attribute Pairs

OK4MLS45

Mental States, EEG Manifestations, and Mentally Emulated Digital Circuits for Brain-Robot Interaction

OK4MLS46

On Model Selection for Scalable Time Series Forecasting in Transport Networks

OK4MLS47

Pedestrian Crossing Intention Prediction at Red-Light Using Pose Estimation

OK4MLS48

Relational Fusion Networks Graph Convolutional Networks for Road Networks

OK4MLS49

Safety-Guaranteed and Development Cost- Minimized Scheduling of DAG Functionality

OK4MLS50

Semisupervised Consistent Projection Metric Learning for Person Reidentification

     OK4MLS51

Robust Data-Driven Framework for Driver Behavior Profiling Using Supervised Machine Learning

OK4MLS52

Multi-level Attention Network for Retinal Vessel Segmentation

OK4MLS53

Personalized Blood Pressure Estimation Using Photoplethysmography A Transfer Learning Approach

OK4MLS54

Security Vulnerabilities and Protection Algorithms for Backpressure-Based Traffic Signal Control

OK4MLS55

Short-Term Demand Forecasting for on-Demand Mobility Service

OK4MLS56

Short-Term Traffic Flow Forecasting Using Ensemble Approach Based on Deep Belief Networks

OK4MLS57

Stroke Risk Prediction with Hybrid Deep Transfer Learning Framework

OK4MLS58

Symmetric All Convolutional Neural-Network-Based Unsupervised Feature Extraction for Hyperspectral Images Classification

OK4MLS59

Toward Road Safety Recommender Systems Formal Concepts and Technical Basics

OK4MLS60

Hierarchical Granular Computing-Based Model and Its Reinforcement Structural Learning for

OK4MLS61

Dynamic Pricing for Differentiated PEV Charging Services Using Deep Reinforcement Learning

OK4MLS62

Optimizing Locations and Qualities of Multiple Facilities With Competition via Intelligent Search

OK4MLS63

Sensors and AI Techniques for Situational Awareness in Autonomous Ships A Review

OK4MLS64

Small Data Challenges in Big Data Era A Survey of Recent Progress on Unsupervised and Semi-Supervised Methods

OK4MLS65

Tire Force Estimation in Intelligent Tires Using Machine Learning

OK4MLS66

Using Eye-Tracking Data to Predict Situation Awareness in Real Time During Takeover Transitions in Conditionally Automated Driving

OK4MLS67

WeDea A New EEG-based Framework for Emotion Recognition

OK4MLS68

Survey of Deep Reinforcement Learning for Motion Planning of Autonomous Vehicles

OK4MLS69

Short-Term Traffic Flow Forecasting Method With M-B-LSTM Hybrid Network

OK4MLS70

Learning to Predict Lidar Intensities

     OK4MLS71

Deep CNN, Body Pose and Body-Object Interaction Features for Drivers Activity Monitoring