Machine learning approach for breast cancer prediction: A review

Y Wankhade, S Toutam, K Thakre… - … on Applied Artificial …, 2023 - ieeexplore.ieee.org
Breast cancer is a complicated and diverse illness that affects millions of women worldwide.
A correct diagnosis and early detection are essential for effective therapy and better patient …

Analytical Review of Machine Learning Techniques for Transmission Line Insulator Fault Detection and Classification

P Yerunkar, P Ramtekkar - 2023 International Conference for …, 2023 - ieeexplore.ieee.org
To guarantee that transmission lines operate normally, insulations are crucial. Regular
inspections must be performed since the integrity of the insulating system affects the …

The convolutional neural network for plant disease detection using hierarchical mixed pooling technique with smoothing to sharpening approach

K Kalbande, WV Patil - International Journal of Computing and …, 2023 - journal.uob.edu.bh
Plant health is an important factor in agricultural production as it mostly affected by plant
diseases. Due to plant diseases, the growth and crop yield gets affected which results in …

Real Estate Prediction System Using ML

A Wandhe, L Sehgal, H Sumra… - … on Emerging Trends …, 2023 - ieeexplore.ieee.org
In recent years, machine learning has played a significant role in many aspects of our lives,
including medical diagnosis, natural speech command, picture detection, product …

Potato Leaf Disease Classification using Convolutional Neural Networks

YP Wasalwar, KS Bagga, VK Joshi… - 2023 11th International …, 2023 - ieeexplore.ieee.org
The vegetable Potato is quite familiar to all of us. After crops like rice and wheat, one of the
most widely grown crops in India is the potato. But like other crops, Potato is also vulnerable …

The machine learning model with hybrid pooling approach for transmission line insulator classification and faults detection

P Yerunkar, P Ramtekkar… - 2023 3rd International …, 2023 - ieeexplore.ieee.org
Insulations are essential in order to ensure that transmission lines function normally. Since
the dependability of the system is impacted by the unity of the insulating system, routine …

Analysis of Computational Model for Detection and Recognition of Human Activity Using Deep Learning

RK Yadav, R Moriwal, A Sakhare - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
The proliferation of sensors and wearable technology in recent years has produced
enormous volumes of sensory data about human activity. Effective data analysis is essential …

Proposed Method for Threat Detection Using User Behavior Analysis

V Pandhurnekar, A Iyyappan, D Dhok… - 2023 IEEE 3rd …, 2023 - ieeexplore.ieee.org
The development of a unique Web-Based platform to identify malicious user activity is the
motivation of this research. Paper has applied analytics to the application-layer logs and …

Blockchain-based spam detection approach

H Lakhdar, F El Mendili… - 2023 10th International …, 2023 - ieeexplore.ieee.org
Maintaining privacy is increasingly important for OSN (Online social network) users due to
the massive quantity of sensitive shared data and the growing popularity of OSNs. Social …

A statistical approach for hospital management system using machine learning

A Duddalwar, P Khobragade - AIP Conference Proceedings, 2024 - pubs.aip.org
To offer the patients' medical care and successful outcomes, a successful hospital
management is required. Traditional hospital management systems, which typically rely on …