CSE PROJECTS / PYTHON PROJECTS

MTech Data Science Projects

MTech Projects offering Data Science Projects for Beginners, Masters, MTech / MS / BE / BTech / MCA / M.Sc Final Year CSE Students with source code, Documentation, Research Paper Writing, Presentation ppt, Video demo, and Expert guidance.

Data Science Projects List

Here the list of Popular Data Science projects include image classification, natural language processing, recommendation systems, predictive analytics, sentiment analysis, and anomaly detection.

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S.NoProject Title   
Privacy-Preserving Synthetic Continual Semantic Segmentation for Robotic Surgery
A Comparison of Approaches for Segmenting the Reaching and Targeting Motion Primitives in Functional Upper Extremity Reaching Tasks
A Graph-Based Multi-Scale Approach With Knowledge Distillation for WSI Classification
A Learnable Counter-Condition Analysis Framework for Functional Connectivity-Based Neurological Disorder Diagnosis
A Low-Cost Instrumented Shoe System for Gait Phase Detection Based on Foot Plantar Pressure Data
A Transformer-Based Knowledge Distillation Network for Cortical Cataract Grading
A Wavelet-Based Approach for Motion Artifact Reduction in Ambulatory Seismocardiography
AIROGS Artificial Intelligence for Robust Glaucoma Screening Challenge
An Efficient Deep Neural Network to Classify Large 3D Images With Small Objects
An Overview of Data Integration in Neuroscience With Focus on Alzheimers Disease
Analysis of a Deep Learning Model for 12-Lead ECG Classification Reveals Learned Features Similar to Diagnostic Criteria
Application of Statistical Analysis and Machine Learning to Identify Infants Abnormal Suckling Behavior
Attention Feature Fusion Network via Knowledge Propagation for Automated Respiratory Sound Classification
Automated Vision-Based Goniometry and Range of Motion Calculation in Individuals With Suspected Ehlers-Danlos Syndromes Generalized Hypermobility Spectrum Disorders A Comparison of Pose Estimatio
BeatProfiler Multimodal In Vitro Analysis of Cardiac Function Enables Machine Learning Classification of Diseases and Drugs
BucketAugment Reinforced Domain Generalisation in Abdominal CT Segmentation
Center-Focused Affinity Loss for Class Imbalance Histology Image Classification
CHIVID A Rapid Deployment of Community and Home Isolation During COVID-19 Pandemics
Chronic Wound Image Augmentation and Assessment Using SemiSupervised Progressive Multi-Granularity EfficientNet
CiGNN A Causality-Informed and Graph Neural Network Based Framework for Cuffless Continuous Blood Pressure Estimation
CLADSI Deep Continual Learning for Alzheimers Disease Stage Identification Using Accelerometer Data
Clinically-Inspired Multi-Agent Transformers for Disease Trajectory Forecasting From Multimodal Data
Compliant Intramedullary Stems for Joint Reconstruction
Computer-Aided Intra-Operatory Positioning of an MRgHIFU Applicator Dedicated to Abdominal Thermal Therapy Using Particle Swarm Optimization
Contrastive Transfer Learning for Prediction of Adverse Events in Hospitalized Patients
Data-Driven Gradient Regularization for Quasi-Newton Optimization in Iterative Grating Interferometry CT Reconstruction
Deep Learning for Retrospective Motion Correction in MRI A Comprehensive Review
Deep Learning-Based Glucose Prediction Models A Guide for Practitioners and a Curated Dataset for Improved Diabetes Management
Deep Learning-Based Multiclass Approach to Cancer Classification on Liquid Biopsy Data
Deep Representation Learning With Sample Generation and Augmented Attention Module for Imbalanced ECG Classification
DeepHealthNet Adolescent Obesity Prediction System Based on a Deep Learning Framework
EEG Information Transfer Changes in Different Daily Fatigue Levels During Drowsy Driving
Enhancing Force Control of Prosthetic Controller for Hand Prosthesis by Mimicking Biological Properties
Estimation of Circular Statistics in the Presence of Measurement Bias
Evaluating the Predictive Value of Glioma Growth Models for Low-Grade Glioma After Tumor Resection
Executive Functions Assessment Based on Wireless EEG and 3D Gait Analysis During Dual-Task A Feasibility Study
Expecting the Unexpected Predicting Panic Attacks From Mood Twitter and Apple Watch Data
Exploration of Coincidence Detection of Cascade Photons to Enhance Preclinical Multi-Radionuclide SPECT Imaging
FCSN Global Context Aware Segmentation by Learning the Fourier Coefficients of Objects in Medical Images
FetSAM Advanced Segmentation Techniques for Fetal Head Biometrics in Ultrasound Imagery
From Scalp to Ear-EEG A Generalizable Transfer Learning Model for Automatic Sleep Scoring in Older People
Functional Electrochemistry On-Nerve Assessment of Electrode Materials for Electrochemistry and Functional Neurostimulation
GaitmapAn Open Ecosystem for IMU-Based Human Gait Analysis and Algorithm Benchmarking
GenHPF General Healthcare Predictive Framework for Multi-Task MultiSource Learning
Identification of Congenital Valvular Murmurs in Young Patients Using Deep Learning-Based Attention Transformers and Phonocardiograms
Identifying Biases in a Multicenter MRI Database for Parkinsons Disease Classification Is the Disease Classifier a Secret Site Classifier
Impaired Brain-Heart Relation in Patients With Methamphetamine Use Disorder During VR Induction of Drug Cue Reactivity
Improving Dysarthric Speech Segmentation With Emulated and Synthetic Augmentation
Intelligent Electrocardiogram Acquisition Via Ubiquitous Photoplethysmography Monitoring
LYSTO The Lymphocyte Assessment Hackathon and Benchmark Dataset
MASA-TCN Multi-Anchor Space-Aware Temporal Convolutional Neural Networks for Continuous and Discrete EEG Emotion Recognition
MFEM-CIN A Lightweight Architecture Combining CNN and Transformer for the Classification of Pre-Cancerous Lesions of the Cervix
Motion-Compensated MR CINE Reconstruction With ReconstructionDriven Motion Estimation
Moving Beyond Simulation Data-Driven Quantitative Photoacoustic Imaging Using Tissue-Mimicking Phantoms
NF-GAT A Node Feature-Based Graph Attention Network for ASD Classification
Pathological Gait Analysis With an Open-Source Cloud-Enabled Platform Empowered by Semi-Supervised Learning-PathoOpenGait
PseudoCell Hard Negative Mining as Pseudo Labeling for Deep LearningBased Centroblast Cell Detection
Pulse2AI An Adaptive Framework to Standardize and Process Pulsatile Wearable Sensor Data for Clinical Applications
Quantifying the Suitability of Biosignals Acquired During Surgery for Multimodal Analysis
Quantitative Photoacoustic Tomography Using Iteratively Refined Wavefield Reconstruction Inversion A Simulation Study
Self-Supervised Learning-Based General Laboratory Progress Pretrained Model for Cardiovascular Event Detection
Sparse Deep Neural Network for Encoding and Decoding the Structural Connectome
Supplemental Transmission Aided Attenuation Correction for Quantitative Cardiac PET
Synthetic Optical Coherence Tomography Angiographs for Detailed Retinal Vessel Segmentation Without Human Annotations
TBCA Prediction of Transcription Factor Binding Sites Using a Deep Neural Network With Lightweight Attention Mechanism
tFUSFormer Physics-Guided Super-Resolution Transformer for Simulation of Transcranial Focused Ultrasound Propagation in Brain Stimulation
The ChAMP App A Scalable mHealth Technology for Detecting Digital Phenotypes of Early Childhood Mental Health
The Use of Machine Learning in Eye Tracking Studies in Medical Imaging A Review
Time Efficient Ultrasound Localization Microscopy Based on A Novel Radial Basis Function 2D Interpolation
Toward Enabling Cardiac Digital Twins of Myocardial Infarction Using Deep Computational Models for Inverse Inference
Transformer-Based Spatio-Temporal Analysis for Classification of Aortic Stenosis Severity From Echocardiography Cine Series
TTN Topological Transformer Network for Automated Coronary Artery Branch Labeling in Cardiac CT Angiography
UKSSL Underlying Knowledge Based Semi-Supervised Learning for Medical Image Classification
Ultrasound Shear Elastography With Expanded Bandwidth USEWEB A Novel Method for 2D Shear Phase Velocity Imaging of Soft Tissues
Uncertainty Estimation in Unsupervised MR-CT Synthesis of Scoliotic Spines
Unrolled Optimization via Physics-Assisted Convolutional Neural Network for MR-Based Electrical Properties Tomography A Numerical Investigation
Wearable Accelerometer and Gyroscope Sensors for Estimating the Severity of Essential Tremor
Wearable Loop Sensors for Knee Flexion Monitoring Dynamic Measurements on Human Subjects
Windowed Radon Transform and Tensor Rank-1 Decomposition for Adaptive Beamforming in Ultrafast Ultrasound
Windowed Radon Transform for Robust Speed-of-Sound Imaging With Pulse-Echo Ultrasound

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