B.Tech Major Machine Learning Projects

MACHINE Learning

Edit
S.NoTitleAbstract/Pdf
1red_devil
2A Quick Review of Machine Learning Algorithms
3Use of Machine Learning in Detecting Network Security of Edge Computing System
4Android Malware Detection Using Genetic Algorithm based Optimized Feature Selection and Machine Learning
5Information Retrieval Ranking Using Machine Learning Techniques
6Comparison of Various Machine Learning Techniques and Its Uses in Different Fields
7Research on Network Traffic Identification based on Machine Learning and Deep Packet Inspection
8Sentiment Classification Using N-Gram Inverse Document Frequency and Automated Machine Learning
9Ship Extraction using Post CNN from High Resolution Optical Remotely Sensed Images
10Predicting Personality from Twitter
11Four Machine Learning Methods to Predict Academic Achievement of College Students: A Comparison Study
12Dynamic analysis of malware using artificial neural networks: Applying machine learning to identify malicious behavior based on parent process hirarchy
13Stock Market Analysis using Supervised Machine Learning
14Application Research of Machine Learning Method Based on Distributed Cluster in Information Retrieval
15Fake News Detection Using Machine Learning approaches: A systematic Review
16Predicting Diabetes in Healthy Population through Machine Learning
17A Review on Machine Learning Classification Techniques for Plant Disease Detection
18Performance Evaluation of Machine Learning Algorithms for Credit Card Fraud Detection
19Implementation of Deep Learning Algorithm with Perceptron using TenzorFlow Library
20Machine Learning Techniques Applied to Predict the Performance of Contact Centers Operators
21Diabetes Prediction Using Different Machine Learning Approaches
22Real-time machine learning for early detection of heart disease using big data approach
23Detecting Fake News using Machine Learning and Deep Learning Algorithms
24Static and Dynamic Malware Analysis Using Machine Learning
25Time-efficient offloading for machine learning tasks between embedded systems and fog nodes
26A Machine Learning Approach for Heart Rate Estimation from PPG Signal using Random Forest Regression Algorithm
27Recurrent Deep Divergence-based Clustering for Simultaneous Feature Learning and Clustering of Variable Length Time Series
28Neural-Response-Based Extreme Learning Machine for Image Classification
29Learning from Privacy Preserved Encrypted Data on Cloud Through Supervised and Unsupervised Machine Learning
30Plant Disease Classification Using SOFT COMPUTING Supervised Machine Learning
31Secure and Hassle-Free EVM Through Deep Learning Based Face Recognition
32Credit Risk Prediction Based on Machine Learning Methods
33Survey on Machine Learning and Deep Learning Algorithms used in Internet of Things (IoT) Healthcare
34Deep Online Sequential Extreme Learning Machines and its Application in Pneumonia Detection
35Performance Analysis of Machine Learning Algorithms on Self-Localization Systems
36Emotion Based Music Recommendation System
375G-Smart Diabetes: Towards Personalized Diabetes Diagnosis with Healthcare Big Data Clouds
38How Data-Driven Entrepreneur Analyzes Imperfect Information for Businness Opportunity Evaluation
39Hybrid Feature Selection Using Correlation Coefficient and Particle Swarm Optimization on Microarray Gene Expression Data
40Automatic Vacant Parking Places Management System Using Multicamera Vehicle Detection
41Noise Reduction in Web Data: A Learning Approach Based on Dynamic User Interests
42On scalabale and Robust Truth Discovery in Big Data Social Media Sensing Application
43Performance Comparison of Support Vector Machine, Random Forest, and Extreme Learning Machine for Intrusion Detection
44Solar Irradiance Forecasting Using Deep Recurrent Neural Networks
45Sentiment Analysis for the News Data Based on the social Media
46Understand Short Texts by Harvesting and Analyzing Semantic Knowledge
47Blockchain-Enabled Smart Contracts: Architecture, Applications, and Future Trends
48From Optimization-based Machine Learning to Interpretable Security Rules for Operation
49Prediction of Process Variation Effect for Ultrascaled GAA Vertical FET Devices Using a Machine Learning Approach
50Multimodal Machine Learning A Survey and Taxonomy
51Manifold A Model Agnostic Framework for Interpretation and Diagnosis of Machine Learning Models
52RuleMatrix Visualizing and Understanding Classifiers with Rules
53A Survey of Statistical Machine Learning Elements in Genetic Programming
54VIS4ML An Ontology for Visual Analytics Assisted Machine Learning
55A Novel Car Following Control Model Combining Machine Learning and Kinematics Models for Automated Vehicles
56Tunable VVC Frame Partitioning based on Lightweight Machine Learning
57Smartphone Transportation Mode Recognition Using a Hierarchical Machine Learning Classifier and Pooled Features From Time and Frequency Domains
58Machine Learning Inspired Sound based Amateur Drone Detection for Public Safety Applications
59Automatically Evaluating Balance A Machine Learning Approach
60Learn as you go with Megh Efficient Live Migration of Virtual Machines
61From Group Level Statistics to Single Subject Prediction Machine Learning Detection of Concussion in Retired Athletes
62Android HIV A Study of Repackaging Malware for Evading Machine-Learning Detection
63A 2.86-TOPS/W Current Mirror Cross-Bar-Based Machine-Learning and Physical Unclonable Function Engine For Internetof-Things Applications
64Intelligent Positioning Approach for High Speed Trains Based on Ant Colony Optimization and Machine Learning Algorithms
65Localized Small Cell Caching A Machine Learning Approach Based on Rating Data
66Chance-Constrained Outage Scheduling using a Machine Learning Proxy
67Severe Dengue Prognosis Using Human Genome Data and Machine Learning
68Using Machine Learning Techniques to Evaluate Multicore Soft Error Reliability
69Machine-Learning Attacks on PolyPUFs, OB-PUFs, RPUFs, LHS-PUFs, and PUF–FSMs
70Ensemble Machine Learning Based Wind Forecasting to Combine NWP Output with Weather Station Data
71Machine Learning Applied to Software Testing: A Systematic Mapping Study
72Bug Prediction of System CModels using Machine Learning
73Declarative Parameterizations of User-Defined Functions for Large-Scale Machine Learning and Optimization
74Improve Reputation Evaluation of Crowdsourcing Participants Using Multidimensional Index and Machine Learning Techniques
75A Machine Learning-Based Fast-Forward Solver for Ground Penetrating Radar With Application to Full-Waveform Inversion
76Real-Time Prediction for IC Aging Based on Machine Learning
77A Wafer Map Yield Prediction Based on Machine Learning for Productivity Enhancement
78Unsupervised Machine Learning Based Scalable Fusion for Active Perception
79Efficient Privacy-preserving Machine Learning in Hierarchical Distributed System
80Machine Learning based Trust Computational Model for IoT Services
81Image-to-Image Learning to Predict Traffic Speeds by Considering Area-Wide Spatio-Temporal Dependencies
82Data-driven Local Control Design for Active Distribution Grids using off-line Optimal Power Flow and Machine Learning Techniques
83Dynamic Autoselection and Autotuning of Machine Learning Models for Cloud Network Analytics
84Machine Learning for the Geosciences: Challenges and Opportunities
85Exploiting Machine Learning Against On-Chip Power Analysis Attacks: Tradeoffs and Design Considerations
86High-Voltage Circuit Breakers Technical State Patterns Recognition Based on Machine Learning Methods
87Efficient Privacy-Preserving Machine Learning for Blockchain Network
88Accuracy Investigation of a Neuromorphic Machine Learning System due to Electromagnetic Noises using PEEC Model
89Unsupervised Deep Learning of Compact Binary Descriptors
90An Adaptive CU Size Decision Algorithm for HEVC Intra Prediction based on Complexity Classification using Machine Learning
91Computational prediction of sigma-54 promoters in bacterial genomes by integrating motif finding and machine learning strategies
92Impulsive Noise Recovery and Elimination: A Sparse Machine Learning Based Approach
93Trajectory Design and Power Control for Multi-UAV Assisted Wireless Networks: A Machine Learning Approach
94SocInf: Membership Inference Attacks on Social Media Health Data With Machine Learning
95A Nonlinear Regression Application via Machine Learning Techniques for Geomagnetic Data Reconstruction Processing
96Curriculum Learning for Speech Emotion Recognition From Crowdsourced Labels
97Early Fault Detection of Machine Tools Based on Deep Learning and Dynamic Identification
98Cross-layer Optimization for High Speed Adders: A Pareto Driven Machine Learning Approach
99Explaining Vulnerabilities to Adversarial Machine Learning through Visual Analytics
100Machine Learning-Assisted Analysis of Polarimetric Scattering From Cylindrical Components of Vegetation
101Machine Learning-Based Routing and Wavelength Assignment in Software-Defined Optical Networks
102Machine Learning Based Error Detection in Transient Susceptibility Tests
103Machine Learning-based Error Detection and Design Optimization in Signal Integrity Applications
104Estimating Summertime Precipitation from Himawari-8 and Global Forecast System Based on Machine Learning
105Prediction of Digital Terrestrial Television Coverage Using Machine Learning Regression
106A Machine Learning Approach to Predict Human Judgments in Compensatory and Noncompensatory Judgment Tasks
107Predicting X-Sensitivity of Circuit-Inputs on Test-Coverage: A Machine-Learning Approach
108Assessment of carotid artery plaque components with machine learning classification using homodyned-K parametric maps and elastograms
109Using Machine Learning to Detect ‘Multiple-Account’ Cheating and Analyze the Influence of Student and Problem Features
110Design and Implementation of a Machine Learning based EEG Processor for Accurate Estimation of Depth of Anesthesia
111Power Efficiency of S-Boxes: From a Machine-Learning-Based Tool to a Deterministic Model
112Automatic Characterization of Exploitable Faults: A Machine Learning Approach
113Machine Learning, Markov Chain Monte Carlo and Optimal Algorithms to Characterize the AdvACT kilopixel Transition-Edge Sensor Arrays
114Neuro-Detect: A Machine Learning Based Fast and Accurate Seizure Detection System in the IoMT
115A Machine Learning Model for Average Fuel Consumption in Heavy Vehicles
116Genome-wide Analysis of MDR and XDR Tuberculosis from Belarus: Machine-learning Approach
117A Multimodal Assessment Framework for Integrating Student Writing and Drawing in Elementary Science Learning
118Exploration of Machine Learning Techniques in Emulating a Coupled Soil–Canopy–Atmosphere Radiative Transfer Model for Multi-Parameter Estimation From Satellite Observations
119Magnetocardiography based Ischemic Heart Disease Detection and Localization using Machine Learning Methods
120A Machine Learning-Enabled Spectrum Sensing Method for OFDM Systems
121Assessment of a Hardware-Implemented Machine Learning Technique Under Neutron Irradiation
122Online Diagnosis of Performance Variation in HPC Systems Using Machine Learning
123Comparison of radiomics models built through machine learning in a multicentric context with independent testing: identical data, similar algorithms, different methodologies
124Actuator Placement for Enhanced Grid Dynamic Performance: A Machine Learning Approach
125Scene Classification With Recurrent Attention of VHR Remote Sensing Images
126Active Machine Learning Approach for Crater Detection From Planetary Imagery and Digital Elevation Models
127Sentinel-2A Image Fusion Using a Machine Learning Approach
128Towards On-Demand Virtual Physical Therapist: Machine Learning-Based Patient Action Understanding, Assessment and Task Recommendation
129The What-If Tool: Interactive Probing of Machine Learning Models
130Self-Optimizing and Self-Programming Computing Systems: A Combined Compiler, Complex Networks, and Machine Learning Approach
131DCDE: An Efficient Deep Convolutional Divergence Encoding Method for Human Promoter Recognition
132Machine Learning Based Handovers for Sub-6 GHz and mmWave Integrated Vehicular Networks
133Machine Learning Inspired Codeword Selection for Dual Connectivity in 5G User-centric Ultra-dense Networks
134The search for BaTiO3-based piezoelectrics with large piezoelectric coefficient using machine learning
135Analysis of Security of Split Manufacturing Using Machine Learning
136Power Management for Multicore Processors via Heterogeneous Voltage Regulation and Machine Learning Enabled Adaptation
137Unsupervised Difference Representation Learning for Detecting Multiple Types of Changes in Multitemporal Remote Sensing Images
138ISMAEL: Using Machine Learning To Predict Acceptance of Virtual Clusters in Data Centers
139Motion quantification and automated correction in clinical RSOM
Our Youtube channel is a leading source of expert-driven and actionable educational content. Explore hundreds of videos featuring experts explaining topics aimed at getting us big ideas and core skills.

Are you a Computer Science student pursuing Btech and looking for an Academic Project? No worries, www.TruProjects.in is a one-stop destination. We, equipped with wide range of project ideas which also includes Btech CSE major Machine Learning projects, as academic projects are playing an important role in every Btech student educational journey, major preference of Btech CSE students are Machine Learning live projects. The predominant demand of Btech CSE Machine Learning final year projects offered by Truprojects are majorly IEEE Machine Learning Projects.

We have been rated as one among the best institutes in providing Btech academic CSE Machine Learning projects, Truprojects offers Machine Learning live projects with Source Code and Document, as well as Btech CSE Machine Learning Projects for III Year Students. If you are searching for Latest IEEE Machine Learning projects or Trending Machine Learning Btech CSE projects, as mentioned then truprojects.in is a correct space.

Whether it is a Btech CSE academic Machine Learning live projects or IEEE CSE Machine Learning projects, truprojects.in is your best Project Consultant. Please visit the site www.truprojects.in to have glance on List of Projects for Downloading.

“Focus your entire mind on the Btech CSE Major Machine Learning Projects. The sun’s rays do not begin to burn until they are focused.” Even the tiniest activities should be done with your heart, mind, and soul. This is the key to achieving success. You might spark your friend’s interest by securing a Project with Tru Projects. Give us a call to learn more about the projects. Maybe you’ve noticed anything odd regarding Tru Projects. Because we only work on Projects, we stand out. Considering all aspects of a project’s issues. By simplifying complex activities, your intern experience will be able to work at superhuman speed while maintaining human comprehension. Don’t bite your nails now the services are available near to your home town Sr Nagar, Ameerpet, JNTU, KPHB, Kukatpally, Dilsukhnagar, Madhapur, L.B.Nagar, Secunderabad, Tarnaka, Uppal, Chaitanya Puri, ECIL, Ibrahimpatnam, Adilabad, Uturu, Mancherial, Nirmal, Bhainsa, Asifabad, Karimnagar, Huzurabad, jagtial, Mettupalli, Peddapalli, Mantini, Sircilla, Nizamabad, Armoor, Bodhan, Kamareddy, Banswada, Yellareddy, Ellareddy, Warangal (Rural), Narsampet, Bhupalpally, Mulugu, Jangaon, Station Ghanpur, Mahabubabad, Thorrur, Khammam, kalluru, Kothagudem, Bhadrachalam, Medak, Toopran, Narsapur, Sangareddy, Zahirabad,  Narayankhed

Are you pursuing B. Tech, M. Tech or MBA and looking for the Best Engineering Academic Projects centre in Hyderabad? So, what are you waiting for……? Hurry up, because Tru Projects in Hyderabad is offering you a fantastic opportunity on engineering academic projects in Hyderabad to work on a variety of projects with a realistic output on Current Emerging technologies. A theory may be made to match any facts since it has so many descriptive options. But, in order to gain practical knowledge, you must select the appropriate project early in our careers. So, don’t be concerned; there is a wonderful opportunity for all btech academic projects centre in Hyderabad.

Tru Projects is one of the big players as a consultation firm for Best Engineering Projects providers in Hyderabad. When planning a project, engineering students consider a wide range of topics from numerous perspectives. To better understanding our unique range of projects, let’s look at a few distinct fields and their applications. So that you can choose the project that best meets your needs from our comprehensive list of Final Year academic projects.

Tru Projects is the best opportunity for Major Machine Learning Projects For Btech Cse Students, providing best in class career oriented & real time projects for engineering students in Hyderabad. We provide actual competency-based projects for engineering students in Hyderabad with ensure quality, and lower your expenditures.

Never be afraid to take bold action and live the life you’ve always imagined. Be Bold and take the opportunity to join in Tru Projects for Btech Cse Major Machine Learning Live Projects. By going, you will be a more desirable candidate than your peers when it comes time to hunt for a full-time job after taking btech academic projects. Employers value your work experience more than your academic credentials. The finest projects allow you to put specific teaching approaches to the test before you start working. A Project allows you to put what you’ve learned into practise in a safe setting where mistakes are expected, rather than learning the hard way in your first job after college. Projects allow you to transition from student to full-time work. Graduating and immediately starting a new career might be difficult at times in projects for engineering students.

Tru Projects is proud to be one of the best Btech Ieee Cse Major Machine Learning Projects, offering wide range of customized Easy mini-Projects in Hyderabad, B TECH major and mini projects, Latest mini and major Projects, MBA major and mini projects, and so on. Among the domains in which we specialize are Data Mining, Artificial Intelligence, Big Data, Deep Learning, Data Science, Android, cloud computing, and Cyber security.

You’ve arrived at the right site if you’re seeking for Real Time major Machine Learning Projects for Btech CSE Students or Latest mini-Projects in Hyderabad. All you have to do now is contact us for more information and to embark on your project in Tru Projects “The tasks we’ve finished show what we know; future projects will determine what we learn.”

Tru Projects is a renowned project creation company that offers top-of-the-line career-oriented and real time projects for engineering students. Tru Projects is India’s leading provider of research and development and projects for engineering students. We provide actual competency-based training, ensure quality, and cut your costs all at the same time. Tru Projects is one of best Final Year academic projects in Hyderabad.

If you are looking for mini-Projects for 3rd Year or Mtech Academic Cse Major Machine Learning Projects join Tru Projects immediately to earn valuable experience. If you don’t want to deter anybody from looking Easy mini-Projects in the traditional manner, start by tapping into Tru Projects website for Best Engineering Projects engineering academic projects, depending on personal interest.

Finding a genuine project consultant is challenging in these pandemic times. You don’t have to be concerned about it because Tru Projects is one of the top academic certified experts, and we take pride in delivering some of the best b tech major projects available. Our team works tirelessly to ensure that any student can access our Latest mini-Projects in Hyderabad at any time that is convenient for them. We also offer btech image processing major projects in Hyderabad. If we can be your assist, please do not hesitate to contact us. ᴡᴇ’ʀᴇ ᴛʀᴜ ᴘʀᴏᴊᴇᴄᴛꜱ, ᴀɴᴅ ᴡᴇ’ʀᴇ ʜᴇʀᴇ ᴛᴏ ʜᴇʟᴘ ʏᴏᴜ.

Pin It on Pinterest

Call Now Button