The review of natural language processing applications with emphasis on machine learning implementations

TP Nagarhalli, S Mhatre, S Patil… - … on Electronics and …, 2022 - ieeexplore.ieee.org
There is a renewed interest in the recent times for research and development in the field and
subfield of Artificial Intelligence, and this is especially true for Machine Learning and Natural …

Hate speech detection using deep learning and text analysis

P Patil, S Raul, D Raut… - 2023 7th International …, 2023 - ieeexplore.ieee.org
Hate speech is any form of speech, gesture, written or physical expression that threatens a
person or a group based on their race, ethnicity, religion, gender, sexual orientation …

Review of Machine Learning Approaches in the Field of Healthcare

U Gogate, H Bhagwat - Intelligent Approaches to Cyber Security, 2024 - taylorfrancis.com
Machine learning (ML) is the most conspicuous area of computational science which
focuses on analysis and interpretation of patterns and structures in data. It enables learning …

Real time machine translation system between indian languages

AH Patil, SS Patil, SM Patil… - 2022 6th International …, 2022 - ieeexplore.ieee.org
Language understanding is one of those perpetual challenges which has dogged research
from many decades. As a means of connecting with others, but communication is not limited …

Analysis of Recurrent Neural Network and Convolution Neural Network Techniques in Blood Cell Classification

TP Nagarhalli - Next Generation Healthcare Systems Using …, 2022 - api.taylorfrancis.com
Machine learning and deep learning have revolutionised many important sectors, including
finance, banking, automobile, and medical. Machine learning is an important subfield of …

Evaluating the Effectiveness of the Convolution Neural Network in Detecting Brain Tumors

TP Nagarhalli, S Mhatre, A Save… - … Systems Using Soft …, 2022 - api.taylorfrancis.com
Next Generation Healthcare Systems Using Soft Computing Techniques; 1 Page 1 3
Evaluating the Effectiveness of the Convolution Neural Network in Detecting Brain Tumors …

A Study of Recent Techniques to Detect Zero-Day Phishing Attacks

S Patil, NM Shekokar - Intelligent Approaches to Cyber Security, 2023 - taylorfrancis.com
Phishing is a cybercrime wherein the attacker steals an individual's information causing
financial or personal loss to the individual. Confidential information like banking, credit/debit …

SQL Injection Attacks on Indian Websites: A Case Study

N Yadav, NM Shekokar - Cyber Security Threats and Challenges …, 2022 - taylorfrancis.com
Today, the Indian economy is the fastest growing large economy, and it is mainly based on
various web applications used in the different private and public sectors of the country. Web …

Comparative analysis of Large Image Model and Pre-trained CNN for the Classification of White Blood Cells

SA Dahanukar, TP Nagarhalli… - … Conference on Self …, 2024 - ieeexplore.ieee.org
White blood cells (WBCs) must be accurately classified in order to be used in medicine for
both therapeutic and diagnostic purposes. The performance of two domains that are very …

DigiFarmer: Precision Agriculture Empowered by Machine Learning for Sustainable Crop Management

KD Patra, AA Bhosle, DM Kothari… - 2024 2nd International …, 2024 - ieeexplore.ieee.org
In agriculture, the sector grapples with pressing challenges arising from climate change,
water shortages, and pest infestations. Particularly affecting farmers in developing nations …