M Laxmi
VIDWAN ID: 259084

Mrs M Laxmi

Female Master of Technology
Associate Professor
Geethanjali College of Engineering and Technology
Telangana
Expertise: Electrical and Electronic Engineering
7 Publications
0 Projects
9 Scopus Citations
8 CrossRef
14 Years 3 Months Total Experience
Publications
7 Total
Articles
1
Proceedings
6
Activity

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Scopus Scopus
9 Citations
2 h-index
CrossRef CrossRef
8 Citations
2 h-index
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Professional Recognition

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IETE
Fellow member (F-500101)
Jan 2018

Personal Details

Master of Technology
2011
N/A
Bachelor of Technology
2005
N/A
Associate Professor
Jun 2014 – Present
Geethanjali College of Engineering and Technology
Assistant Professor
Jun 2012 – May 2014
Malla Reddy Engineering College for women
Engineering and Technology
Electrical and Electronic Engineering

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Scholarly Work

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HYBRID MACHINE LEARNING-IOT-DRONE FRAMEWORK FOR REAL-TIME EARTHQUAKE PREDICTION AND INTELLIGENT EARLY WARNING SYSTEM

M.Laxmi
ECE
Associate professor
Geethanjali College of Engineering and Technology
- Application No. : 202641035120 Filed : 23-03-2026
Published : 03-04-2026 Published

MACHINE LEARNING BASED APPROACHES FOR DETECTING ANAMOLIES AND FRAUD IN BITCOIN BLOCKCHAIN TRANSACTIONS

M.Laxmi
M.Manimozhi
Raghuram A S
Sheetal
Prasanthi V
Dr. Phanindra Reddy
Dr.Kishore Prakash B
Dr.P.Yohan
RVS Praveen
T jayachandra Reddy
Dr.SK Altaf
Dr.A. Kubendiran
- Application No. : 202541043550 Filed : 05-05-2025
Published : 30-05-2025 Published

Deep Learning Model for Classification of Organic and Non-organic Images

ORDINARY APPLICATION
- Application No. : 202541027037 Filed : 24-03-2023
Published : 11-04-2025 Published

Scholarly Publications

Intelligent Farming in Rural Areas: CBGRU-Based Smart Agriculture and Precision Solutions

Conference Paper
Year: 2024.
Authors: M. Laxmi; Tamilselvan V; Ramesh C; K. Renganathan; P. Sukumar; S. Kaliappan

Automatic Detection of Irregular Contraction and Relaxation of Cardiac Muscle using Alexnet

Conference Paper
Year: 2023. Pages: 1-6 .
Authors: Vallathan, G.; Sowjanya, M.; Laxmi, M.; Sreelatha, B.

Enhancing ECG Analysis through Deep Learning-Based Waveform Segmentation: A Time-Frequency Approach

Conference Paper
Year: 2023. Volume: 22 , Pages: 1-6 .
Authors: Sreelatha, B.; Vallathan, G.; Sowjanya, M.; Laxmi, M.

Enhancing Keyword Spotting in Noisy Environments: A Deep Learning Approach with MFCC and Bidirectional LSTM Networks

Conference Paper
Year: 2023. Pages: 1-6 .
Authors: Laxmi, M.; Sreelatha, B.; Vallathan, G.; Sowjanya, M.

Unsupervised Medical Image Denoising Using CycleGAN: Improving Low-Dose CT Image Quality

Conference Paper
Year: 2023. Pages: 1-6 .
Authors: Sowjanya, M.; Laxmi, M.; Sreelatha, B.; Vallathan, G.

An IoT-Based Pest Detection and Alert System for Farmers Using CNN-LSTM Approach

Conference Paper
Key Engineering Materials. Year: 2023. Pages: 1283-1288 .
Authors: M. Laxmi; Ashok Kumar Koshariya; Bramah Hazela; Prashant Singh; Manju M; M. Jeyaselvi

hybrid optimization driven deep residual network for attack detection and attack mitigation in wireless sensor networks

Open Access
Journal Article
International journal of health sciences. Year: 2022. Pages: 2254-2271 .
Authors: M. Sowjanya Reddy; M. Laxmi; Bandani Anil Kumar