B.Tech Major Machine Learning Projects Kakinada
MACHINE Learning
| S.No | Title | Abstract/Pdf |
|---|---|---|
| 1 | red_devil | |
| 2 | A Quick Review of Machine Learning Algorithms | |
| 3 | Use of Machine Learning in Detecting Network Security of Edge Computing System | |
| 4 | Android Malware Detection Using Genetic Algorithm based Optimized Feature Selection and Machine Learning | |
| 5 | Information Retrieval Ranking Using Machine Learning Techniques | |
| 6 | Comparison of Various Machine Learning Techniques and Its Uses in Different Fields | |
| 7 | Research on Network Traffic Identification based on Machine Learning and Deep Packet Inspection | |
| 8 | Sentiment Classification Using N-Gram Inverse Document Frequency and Automated Machine Learning | |
| 9 | Ship Extraction using Post CNN from High Resolution Optical Remotely Sensed Images | |
| 10 | Predicting Personality from Twitter | |
| 11 | Four Machine Learning Methods to Predict Academic Achievement of College Students: A Comparison Study | |
| 12 | Dynamic analysis of malware using artificial neural networks: Applying machine learning to identify malicious behavior based on parent process hirarchy | |
| 13 | Stock Market Analysis using Supervised Machine Learning | |
| 14 | Application Research of Machine Learning Method Based on Distributed Cluster in Information Retrieval | |
| 15 | Fake News Detection Using Machine Learning approaches: A systematic Review | |
| 16 | Predicting Diabetes in Healthy Population through Machine Learning | |
| 17 | A Review on Machine Learning Classification Techniques for Plant Disease Detection | |
| 18 | Performance Evaluation of Machine Learning Algorithms for Credit Card Fraud Detection | |
| 19 | Implementation of Deep Learning Algorithm with Perceptron using TenzorFlow Library | |
| 20 | Machine Learning Techniques Applied to Predict the Performance of Contact Centers Operators | |
| 21 | Diabetes Prediction Using Different Machine Learning Approaches | |
| 22 | Real-time machine learning for early detection of heart disease using big data approach | |
| 23 | Detecting Fake News using Machine Learning and Deep Learning Algorithms | |
| 24 | Static and Dynamic Malware Analysis Using Machine Learning | |
| 25 | Time-efficient offloading for machine learning tasks between embedded systems and fog nodes | |
| 26 | A Machine Learning Approach for Heart Rate Estimation from PPG Signal using Random Forest Regression Algorithm | |
| 27 | Recurrent Deep Divergence-based Clustering for Simultaneous Feature Learning and Clustering of Variable Length Time Series | |
| 28 | Neural-Response-Based Extreme Learning Machine for Image Classification | |
| 29 | Learning from Privacy Preserved Encrypted Data on Cloud Through Supervised and Unsupervised Machine Learning | |
| 30 | Plant Disease Classification Using SOFT COMPUTING Supervised Machine Learning | |
| 31 | Secure and Hassle-Free EVM Through Deep Learning Based Face Recognition | |
| 32 | Credit Risk Prediction Based on Machine Learning Methods | |
| 33 | Survey on Machine Learning and Deep Learning Algorithms used in Internet of Things (IoT) Healthcare | |
| 34 | Deep Online Sequential Extreme Learning Machines and its Application in Pneumonia Detection | |
| 35 | Performance Analysis of Machine Learning Algorithms on Self-Localization Systems | |
| 36 | Emotion Based Music Recommendation System | |
| 37 | 5G-Smart Diabetes: Towards Personalized Diabetes Diagnosis with Healthcare Big Data Clouds | |
| 38 | How Data-Driven Entrepreneur Analyzes Imperfect Information for Businness Opportunity Evaluation | |
| 39 | Hybrid Feature Selection Using Correlation Coefficient and Particle Swarm Optimization on Microarray Gene Expression Data | |
| 40 | Automatic Vacant Parking Places Management System Using Multicamera Vehicle Detection | |
| 41 | Noise Reduction in Web Data: A Learning Approach Based on Dynamic User Interests | |
| 42 | On scalabale and Robust Truth Discovery in Big Data Social Media Sensing Application | |
| 43 | Performance Comparison of Support Vector Machine, Random Forest, and Extreme Learning Machine for Intrusion Detection | |
| 44 | Solar Irradiance Forecasting Using Deep Recurrent Neural Networks | |
| 45 | Sentiment Analysis for the News Data Based on the social Media | |
| 46 | Understand Short Texts by Harvesting and Analyzing Semantic Knowledge | |
| 47 | Blockchain-Enabled Smart Contracts: Architecture, Applications, and Future Trends | |
| 48 | From Optimization-based Machine Learning to Interpretable Security Rules for Operation | |
| 49 | Prediction of Process Variation Effect for Ultrascaled GAA Vertical FET Devices Using a Machine Learning Approach | |
| 50 | Multimodal Machine Learning A Survey and Taxonomy | |
| 51 | Manifold A Model Agnostic Framework for Interpretation and Diagnosis of Machine Learning Models | |
| 52 | RuleMatrix Visualizing and Understanding Classifiers with Rules | |
| 53 | A Survey of Statistical Machine Learning Elements in Genetic Programming | |
| 54 | VIS4ML An Ontology for Visual Analytics Assisted Machine Learning | |
| 55 | A Novel Car Following Control Model Combining Machine Learning and Kinematics Models for Automated Vehicles | |
| 56 | Tunable VVC Frame Partitioning based on Lightweight Machine Learning | |
| 57 | Smartphone Transportation Mode Recognition Using a Hierarchical Machine Learning Classifier and Pooled Features From Time and Frequency Domains | |
| 58 | Machine Learning Inspired Sound based Amateur Drone Detection for Public Safety Applications | |
| 59 | Automatically Evaluating Balance A Machine Learning Approach | |
| 60 | Learn as you go with Megh Efficient Live Migration of Virtual Machines | |
| 61 | From Group Level Statistics to Single Subject Prediction Machine Learning Detection of Concussion in Retired Athletes | |
| 62 | Android HIV A Study of Repackaging Malware for Evading Machine-Learning Detection | |
| 63 | A 2.86-TOPS/W Current Mirror Cross-Bar-Based Machine-Learning and Physical Unclonable Function Engine For Internetof-Things Applications | |
| 64 | Intelligent Positioning Approach for High Speed Trains Based on Ant Colony Optimization and Machine Learning Algorithms | |
| 65 | Localized Small Cell Caching A Machine Learning Approach Based on Rating Data | |
| 66 | Chance-Constrained Outage Scheduling using a Machine Learning Proxy | |
| 67 | Severe Dengue Prognosis Using Human Genome Data and Machine Learning | |
| 68 | Using Machine Learning Techniques to Evaluate Multicore Soft Error Reliability | |
| 69 | Machine-Learning Attacks on PolyPUFs, OB-PUFs, RPUFs, LHS-PUFs, and PUF–FSMs | |
| 70 | Ensemble Machine Learning Based Wind Forecasting to Combine NWP Output with Weather Station Data | |
| 71 | Machine Learning Applied to Software Testing: A Systematic Mapping Study | |
| 72 | Bug Prediction of System CModels using Machine Learning | |
| 73 | Declarative Parameterizations of User-Defined Functions for Large-Scale Machine Learning and Optimization | |
| 74 | Improve Reputation Evaluation of Crowdsourcing Participants Using Multidimensional Index and Machine Learning Techniques | |
| 75 | A Machine Learning-Based Fast-Forward Solver for Ground Penetrating Radar With Application to Full-Waveform Inversion | |
| 76 | Real-Time Prediction for IC Aging Based on Machine Learning | |
| 77 | A Wafer Map Yield Prediction Based on Machine Learning for Productivity Enhancement | |
| 78 | Unsupervised Machine Learning Based Scalable Fusion for Active Perception | |
| 79 | Efficient Privacy-preserving Machine Learning in Hierarchical Distributed System | |
| 80 | Machine Learning based Trust Computational Model for IoT Services | |
| 81 | Image-to-Image Learning to Predict Traffic Speeds by Considering Area-Wide Spatio-Temporal Dependencies | |
| 82 | Data-driven Local Control Design for Active Distribution Grids using off-line Optimal Power Flow and Machine Learning Techniques | |
| 83 | Dynamic Autoselection and Autotuning of Machine Learning Models for Cloud Network Analytics | |
| 84 | Machine Learning for the Geosciences: Challenges and Opportunities | |
| 85 | Exploiting Machine Learning Against On-Chip Power Analysis Attacks: Tradeoffs and Design Considerations | |
| 86 | High-Voltage Circuit Breakers Technical State Patterns Recognition Based on Machine Learning Methods | |
| 87 | Efficient Privacy-Preserving Machine Learning for Blockchain Network | |
| 88 | Accuracy Investigation of a Neuromorphic Machine Learning System due to Electromagnetic Noises using PEEC Model | |
| 89 | Unsupervised Deep Learning of Compact Binary Descriptors | |
| 90 | An Adaptive CU Size Decision Algorithm for HEVC Intra Prediction based on Complexity Classification using Machine Learning | |
| 91 | Computational prediction of sigma-54 promoters in bacterial genomes by integrating motif finding and machine learning strategies | |
| 92 | Impulsive Noise Recovery and Elimination: A Sparse Machine Learning Based Approach | |
| 93 | Trajectory Design and Power Control for Multi-UAV Assisted Wireless Networks: A Machine Learning Approach | |
| 94 | SocInf: Membership Inference Attacks on Social Media Health Data With Machine Learning | |
| 95 | A Nonlinear Regression Application via Machine Learning Techniques for Geomagnetic Data Reconstruction Processing | |
| 96 | Curriculum Learning for Speech Emotion Recognition From Crowdsourced Labels | |
| 97 | Early Fault Detection of Machine Tools Based on Deep Learning and Dynamic Identification | |
| 98 | Cross-layer Optimization for High Speed Adders: A Pareto Driven Machine Learning Approach | |
| 99 | Explaining Vulnerabilities to Adversarial Machine Learning through Visual Analytics | |
| 100 | Machine Learning-Assisted Analysis of Polarimetric Scattering From Cylindrical Components of Vegetation | |
| 101 | Machine Learning-Based Routing and Wavelength Assignment in Software-Defined Optical Networks | |
| 102 | Machine Learning Based Error Detection in Transient Susceptibility Tests | |
| 103 | Machine Learning-based Error Detection and Design Optimization in Signal Integrity Applications | |
| 104 | Estimating Summertime Precipitation from Himawari-8 and Global Forecast System Based on Machine Learning | |
| 105 | Prediction of Digital Terrestrial Television Coverage Using Machine Learning Regression | |
| 106 | A Machine Learning Approach to Predict Human Judgments in Compensatory and Noncompensatory Judgment Tasks | |
| 107 | Predicting X-Sensitivity of Circuit-Inputs on Test-Coverage: A Machine-Learning Approach | |
| 108 | Assessment of carotid artery plaque components with machine learning classification using homodyned-K parametric maps and elastograms | |
| 109 | Using Machine Learning to Detect ‘Multiple-Account’ Cheating and Analyze the Influence of Student and Problem Features | |
| 110 | Design and Implementation of a Machine Learning based EEG Processor for Accurate Estimation of Depth of Anesthesia | |
| 111 | Power Efficiency of S-Boxes: From a Machine-Learning-Based Tool to a Deterministic Model | |
| 112 | Automatic Characterization of Exploitable Faults: A Machine Learning Approach | |
| 113 | Machine Learning, Markov Chain Monte Carlo and Optimal Algorithms to Characterize the AdvACT kilopixel Transition-Edge Sensor Arrays | |
| 114 | Neuro-Detect: A Machine Learning Based Fast and Accurate Seizure Detection System in the IoMT | |
| 115 | A Machine Learning Model for Average Fuel Consumption in Heavy Vehicles | |
| 116 | Genome-wide Analysis of MDR and XDR Tuberculosis from Belarus: Machine-learning Approach | |
| 117 | A Multimodal Assessment Framework for Integrating Student Writing and Drawing in Elementary Science Learning | |
| 118 | Exploration of Machine Learning Techniques in Emulating a Coupled Soil–Canopy–Atmosphere Radiative Transfer Model for Multi-Parameter Estimation From Satellite Observations | |
| 119 | Magnetocardiography based Ischemic Heart Disease Detection and Localization using Machine Learning Methods | |
| 120 | A Machine Learning-Enabled Spectrum Sensing Method for OFDM Systems | |
| 121 | Assessment of a Hardware-Implemented Machine Learning Technique Under Neutron Irradiation | |
| 122 | Online Diagnosis of Performance Variation in HPC Systems Using Machine Learning | |
| 123 | Comparison of radiomics models built through machine learning in a multicentric context with independent testing: identical data, similar algorithms, different methodologies | |
| 124 | Actuator Placement for Enhanced Grid Dynamic Performance: A Machine Learning Approach | |
| 125 | Scene Classification With Recurrent Attention of VHR Remote Sensing Images | |
| 126 | Active Machine Learning Approach for Crater Detection From Planetary Imagery and Digital Elevation Models | |
| 127 | Sentinel-2A Image Fusion Using a Machine Learning Approach | |
| 128 | Towards On-Demand Virtual Physical Therapist: Machine Learning-Based Patient Action Understanding, Assessment and Task Recommendation | |
| 129 | The What-If Tool: Interactive Probing of Machine Learning Models | |
| 130 | Self-Optimizing and Self-Programming Computing Systems: A Combined Compiler, Complex Networks, and Machine Learning Approach | |
| 131 | DCDE: An Efficient Deep Convolutional Divergence Encoding Method for Human Promoter Recognition | |
| 132 | Machine Learning Based Handovers for Sub-6 GHz and mmWave Integrated Vehicular Networks | |
| 133 | Machine Learning Inspired Codeword Selection for Dual Connectivity in 5G User-centric Ultra-dense Networks | |
| 134 | The search for BaTiO3-based piezoelectrics with large piezoelectric coefficient using machine learning | |
| 135 | Analysis of Security of Split Manufacturing Using Machine Learning | |
| 136 | Power Management for Multicore Processors via Heterogeneous Voltage Regulation and Machine Learning Enabled Adaptation | |
| 137 | Unsupervised Difference Representation Learning for Detecting Multiple Types of Changes in Multitemporal Remote Sensing Images | |
| 138 | ISMAEL: Using Machine Learning To Predict Acceptance of Virtual Clusters in Data Centers | |
| 139 | Motion quantification and automated correction in clinical RSOM |
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