| S.No. | Paper ID | Paper Title & Authors | Pages | Paper |
|---|---|---|---|---|
| 1 | IJTMSR260907001 |
Dataset-Driven Energy Consumption Modeling and Range Prediction of Electric Vehicles Using Python and Hardware Sensors
|
001-008 | Download |
| 2 | IJTMSR260907002 |
Next-Generation Machine Learning for crime prediction and community Safety
|
009-018 | Download |
| 3 | IJTMSR260907003 |
A Dataset-Based Machine Learning Analysis of Solar-Powered Electric Vehicle Charging Stations for Intelligent Load Balancing
|
019-026 | Download |
| 4 | IJTMSR260907004 |
AI-Based Solar PV Output Forecasting and Smart EV Charging Optimization Using Linear Regression, Random Forest, and LSTMs
|
027-032 | Download |
| 5 | IJTMSR260907005 |
An ML/DL Based dual Stage Stacked Ensemble Model for Accurate Heart Disease Prediction
|
033-039 | Download |
| 6 | IJTMSR260907006 |
AI-Based Solar Power Forecasting Using Machine Learning Techniques
|
040-047 | Download |
| 7 | IJTMSR260907007 |
Deep Learning - Based Landmine Detection Using Thermal Drone Imaging
|
048-053 | Download |
| 8 | IJTMSR260907008 |
Structural and Modal Analysis of a Spur Gear and Pinion Assembly Using Analytical and Numerical Methods
|
054-059 | Download |
| 9 | IJTMSR260907009 |
Dual-Network Deep Learning with Grad-CAM for Post-Flood Aerial Image Classification
|
060-065 | Download |
| 10 | IJTMSR260907010 |
Design and Comparative Structural Analysis of Conveyor Belt Materials under Tension and Pressure Loads
|
066-071 | Download |
| 11 | IJTMSR260907011 |
An AI-Based Fault Diagnosis System for Electric Vehicle Drive Systems Using Sensor Data and Embedded Controllers
|
072-081 | Download |
| 12 | IJTMSR260907012 |
Prediction-Based Smart EV Charging Management for Distribution Transformer verload Prevention Using MATLAB/Simulink
|
082-087 | Download |
INTERNATIONAL JOURNAL OF INNOVATIVE TRENDS IN
MULTIDISCIPLINARY SCIENTIFIC RESEARCH (IJTMSR)
International Peer Reviewed & Refereed Journal, Open Access Journal
IJTMSR Peer-Reviewed (Refereed) Journal
as Per New UGC Rules.
ISSN Approved Journal No: E-ISSN 3139-2687
Monthly Peer-Reviewed, Refereed & Open Access Journal
ISSN Approved Journal No: E-ISSN 3139-2687
Monthly Peer-Reviewed, Refereed & Open Access Journal
Read all new guidelines related publication before submission or publication.
Open access, Peer-reviewed and Refereed, Multidisciplinary, Monthly Publication, Engineering, Science & Technology Research.
Impact Factor: 6.91,Digital Object Identifier(DOI), UGC Approved Journal No: 48103(18).