[PDF][PDF] Disposition of youth in predicting sustainable development goals using the neuro-fuzzy and random forest algorithms

L Gaur, G Singh, A Solanki, NZ Jhanjhi… - Human-Centric …, 2021 - researchgate.net
This paper evaluates the inclination of Asian youth regarding the achievement of
Sustainable Development Goals (SDGs). As the young population of a country holds the key …

[PDF][PDF] Plant Disease Diagnosis and Image Classification Using Deep Learning.

R Sharma, A Singh, NZ Jhanjhi… - … Materials & Continua, 2022 - cdn.techscience.cn
Indian agriculture is striving to achieve sustainable intensification, the system aiming to
increase agricultural yield per unit area without harming natural resources and the …

BBNSF: Blockchain-Based Novel Secure Framework Using RP2-RSA and ASR-ANN Technique for IoT Enabled Healthcare Systems

M Kumar, P Mukherjee, S Verma, Kavita, M Kaur… - Sensors, 2022 - mdpi.com
The wearable healthcare equipment is primarily designed to alert patients of any specific
health conditions or to act as a useful tool for treatment or follow-up. With the growth of …

Performance and stability comparison of react and flutter: Cross-platform application development

K Kishore, S Khare, V Uniyal… - … Conference on Cyber …, 2022 - ieeexplore.ieee.org
Application development is a very important aspect when it comes to business. From small-
scale companies to Fortune Companies everyone has an application through which they are …

Diagnosing for liver disease prediction in patients using combined machine learning models

C Anuradha, D Swapna, B Thati… - … on Smart Systems …, 2022 - ieeexplore.ieee.org
In the human body one of the most important organs is liver. If the regular functionality of the
liver is disturbed then this condition is called disease affected liver. Therefore, an early stage …

Adversarial learning on incomplete and imbalanced medical data for robust survival prediction of liver transplant patients

E Hallaji, R Razavi-Far, V Palade, M Saif - IEEE Access, 2021 - ieeexplore.ieee.org
The scarcity of liver transplants necessitates prioritizing patients based on their health
condition to minimize deaths on the waiting list. Recently, machine learning methods have …

Responsive Webpage Using HTML CSS

U Kaushal, G Singh, T Parashar - … International Conference on …, 2022 - ieeexplore.ieee.org
When it involves building websites, the writing language will, initially look, seem
unbelievably complicated. it's going to appear rather intimidating having to require all this …

An efficient liver disease prediction based on deep convolutional neural network using biopsy images

S Bharathi, A Balaji, C Kalaivanan… - 2022 3rd International …, 2022 - ieeexplore.ieee.org
The much more prevalent reason for chronic liver illness in the United States is a condition
known as nonalcoholic fatty liver disease (NAFLD). This condition affects thirty percent of …

TaxBot: An AI-driven Chatbot for Resolving Double Taxation Queries in India

P Baliyan, B Arora - 2024 IEEE 1st Karachi Section …, 2024 - ieeexplore.ieee.org
This article explores the potential of TaxBot, an AI-driven chatbot, in mitigating India's
daunting double taxation complexities. Double taxation is a major problem for individuals …

Predictive analysis for hepatitis and cirrhosis liver disease using machine learning algorithms

A Tamilarasi, K Chitra, J Swetha… - 2022 3rd International …, 2022 - ieeexplore.ieee.org
Liver is one among the largest organs in the human body, which implements functions like
creation of some proteins, activation of enzyme's, storing glucose, minerals etc. A variety of …