Manisha Aeri

Analysis of Various Techniques of Internet of Vehicles

Sonali Gupta, Manika Manwal, Manisha Aeri, 2020 .

Employing Deep Learning Feature Extraction Models with Learning Classifiers to Diagnose Breast Cancer in Medical Images

Siddharth Gupta, A. Panwar, Manika Manwal, 2022, 2022 IEEE Delhi Section Conference (DELCON).

Transfer Learning Based Convolutional Neural Network (CNN) for Early Diagnosis of Covid19 Disease Using Chest Radiographs

Avnish Panwar, Manika Manwal, Manisha Aeri, 2021, Machine Learning and Big Data Analytics (Proceedings of International Conference on Machine Learning and Big Data Analytics (ICMLBDA) 2021).

Automatic Diagnosis of Covid-19 Using Chest X-ray Images Through Deep Learning Models

Siddharth Gupta, Palak Aggarwal, A. Panwar, 2021, Lecture Notes in Electrical Engineering.

Internet of Intelligent Things (IoT) – An Overview

S. Yadav, Manisha Aeri, Ramiz Salama, 2023, 2023 International Conference on Computational Intelligence, Communication Technology and Networking (CICTN).

Support Vector Machine based Multi-Class Classification for Oriented Instance Selection

Richard Rivera, I. Keshta, Manisha Aeri, 2023, 2023 International Conference on Inventive Computation Technologies (ICICT).

Unravelling Peach Leaf Disease Severity: A Federated Learning CNN Perspective

Manisha Aeri, Vikrant Sharma, V. Kukreja, 2023, 2023 2nd International Conference on Edge Computing and Applications (ICECAA).

Time Series Anomaly Detection System with Linear Neural Network and Autoencoder

M. Ahuja, Manisha Aeri, Pritika Mehra, 2023, 2023 International Conference on Device Intelligence, Computing and Communication Technologies, (DICCT).

Analysis Of Various Diabetic Retinopathy Detection Techniques

Sonali Gupta, Manika Manwal, Manisha Aeri, 2020 .

Federated Learning CNN for Smart Agriculture: A Modeling for Soybean Disease Detection

Vinay Kukreja, Manisha Aeri, Shiva Mehta, 2024, 2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI).

Integrated CNN-SVM Approach for Accurate Radish Leaf Disease Classification: A Comparative Study and Performance Analysis

Vinay Kukreja, Manisha Aeri, D. Banerjee, 2023, 2023 Annual International Conference on Emerging Research Areas: International Conference on Intelligent Systems (AICERA/ICIS).

Studying Dengue spread using Climatic conditions and Machine learning Algorithms

Manisha Aeri, S. Dhondiyal, Manas Bisht, 2024, 2024 First International Conference on Technological Innovations and Advance Computing (TIACOMP).