Deep learning techniques for the detection and classification of oral cancer using histopathological images
A Parkavi, Y Tiriyar, PJ Borthakur… - … conference on circuit …, 2023 - ieeexplore.ieee.org
Early oral cancer identification is crucial, which affects millions of people worldwide, is
crucial for enhancing patient prognosis and survival rates. The primary method for …
crucial for enhancing patient prognosis and survival rates. The primary method for …
FarmO'Cart: multilingual voice-assisted machine learning based real-time price prediction to enhance agricultural income
A Patel, L Khedikar, M Lokakshi… - 2023 4th International …, 2023 - ieeexplore.ieee.org
The objective of this work is to propose the use of FarmO'Cart, a cutting-edge online
marketing platform, as an effective solution to modernize conventional agricultural trading …
marketing platform, as an effective solution to modernize conventional agricultural trading …
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 …
the dependability of the system is impacted by the unity of the insulating system, routine …
A Content-Based Study and Tweet Analysis of the Russia-Ukraine Conflict
Twitter analysis has emerged as a fascinating field of inquiry, and the recent Russia-Ukraine
conflict has garnered significant international interest. Twitter users, particularly those from …
conflict has garnered significant international interest. Twitter users, particularly those from …
Analysis of Computational Model for Detection and Recognition of Human Activity Using Deep Learning
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 …
enormous volumes of sensory data about human activity. Effective data analysis is essential …
Gradient descent and logistic regression outcomes on brain stroke study
S Tayade, S Pidurkar, AG Sheikh - AIP Conference Proceedings, 2024 - pubs.aip.org
In this article Logistic Regression, a significant method for classification is discussed.
Investigated how the Gradient Descent technique was used to get the best parameter …
Investigated how the Gradient Descent technique was used to get the best parameter …
[PDF][PDF] AGRO'CART: MULTILINGUAL VOICE-ASSISTED MACHINE LEARNING BASED REAL-TIME PRICE PREDICTION TO ENHANCE AGRICULTURAL INCOME
MR Wasnik, MS Khobragade, MP Dahikar, MM Fulekar… - ijprems.com
The objective of this work is to propose the use of AgrO'Cart, a cutting-edge online marketing
platform, as an effective solution to modernize conventional agricultural trading practices by …
platform, as an effective solution to modernize conventional agricultural trading practices by …