[HTML][HTML] An anatomization on breast cancer detection and diagnosis employing multi-layer perceptron neural network (MLP) and Convolutional neural network (CNN)

M Desai, M Shah - Clinical eHealth, 2021 - Elsevier
This paper aims to review Artificial neural networks, Multi-Layer Perceptron Neural network
(MLP) and Convolutional Neural network (CNN) employed to detect breast malignancies for …

[HTML][HTML] Implementation of artificial intelligence in agriculture for optimisation of irrigation and application of pesticides and herbicides

T Talaviya, D Shah, N Patel, H Yagnik… - Artificial Intelligence in …, 2020 - Elsevier
Agriculture plays a significant role in the economic sector. The automation in agriculture is
the main concern and the emerging subject across the world. The population is increasing …

A comparative analysis of logistic regression, random forest and KNN models for the text classification

K Shah, H Patel, D Sanghvi, M Shah - Augmented Human Research, 2020 - Springer
In the current generation, a huge amount of textual documents are generated and there is an
urgent need to organize them in a proper structure so that classification can be performed …

Systematic review and meta-analysis of augmented reality in medicine, retail, and games

P Parekh, S Patel, N Patel, M Shah - Visual computing for industry …, 2020 - Springer
This paper presents a detailed review of the applications of augmented reality (AR) in three
important fields where AR use is currently increasing. The objective of this study is to …

Enabling smart agriculture by implementing artificial intelligence and embedded sensing

A Sharma, M Georgi, M Tregubenko, A Tselykh… - Computers & Industrial …, 2022 - Elsevier
The increasing demand of smart agriculture has led to the significant growth and
development in the field of crop estimation and prediction improving its productivity. The …

Comprehensive review of text-mining applications in finance

A Gupta, V Dengre, HA Kheruwala, M Shah - Financial Innovation, 2020 - Springer
Text-mining technologies have substantially affected financial industries. As the data in
every sector of finance have grown immensely, text mining has emerged as an important …

[HTML][HTML] Artificial cognition for applications in smart agriculture: A comprehensive review

M Pathan, N Patel, H Yagnik, M Shah - Artificial Intelligence in Agriculture, 2020 - Elsevier
Abstract Agriculture contributes to 6.4% of the entire world's economic production. In at least
nine countries of the world, agriculture is the dominant sector of the economy. Agriculture not …

Crime analysis using computer vision approach with machine learning

P William, A Shrivastava… - … Communications and 5G …, 2023 - Springer
Depending on the seriousness of the offence, any deliberate act that causes harm to oneself
or another, as well as damage to or loss of property, qualifies as a crime for the purposes of …

Research trends on the usage of machine learning and artificial intelligence in advertising

N Shah, S Engineer, N Bhagat, H Chauhan… - Augmented Human …, 2020 - Springer
Advertising is a way in which a company introduces possible customers to a company's
product/service, the main objective is possibly to convince them to buy their product or use …

Crime forecasting: a machine learning and computer vision approach to crime prediction and prevention

N Shah, N Bhagat, M Shah - … Computing for Industry, Biomedicine, and Art, 2021 - Springer
A crime is a deliberate act that can cause physical or psychological harm, as well as
property damage or loss, and can lead to punishment by a state or other authority according …