[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 …

Application on virtual reality for enhanced education learning, military training and sports

K Ahir, K Govani, R Gajera, M Shah - Augmented Human Research, 2020 - Springer
Virtual reality is emerging freshly in the field of interdisciplinary research. In the past years,
its area has grown over research and the industry has made important investments in 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 …