Demystifying AI: What digital transformation leaders can teach you about realistic artificial intelligence

JKU Brock, F Von Wangenheim - California management …, 2019 - journals.sagepub.com
Recent years have seen a reemergence of interest in artificial intelligence (AI) among both
managers and academics. Driven by technological advances and public interest, AI is …

Artificial intelligence in business: from research and innovation to market deployment

N Soni, EK Sharma, N Singh, A Kapoor - Procedia Computer Science, 2020 - Elsevier
For the last few years, one can see the emergence of a large number of intelligent products
and services, their commercial availability and the socioeconomic impact, this raises the …

The usage of artificial intelligence in digital marketing: A review

A Hassan - Applications of Artificial Intelligence in Business …, 2021 - Springer
This study aims to investigate the correlation between Artificial Intelligence and digital
Marketing Business and to identify the most important applications of artificial Intelligence …

Classification efficiency of pre-trained deep CNN models on camera trap images

A Stančić, V Vyroubal, V Slijepčević - Journal of Imaging, 2022 - mdpi.com
This paper presents the evaluation of 36 convolutional neural network (CNN) models, which
were trained on the same dataset (ImageNet). The aim of this research was to evaluate the …

Advanced calibration of mortality prediction on cardiovascular disease using feature-based artificial neural network

L Tran, A Bonti, L Chi, M Abdelrazek… - Expert Systems with …, 2022 - Elsevier
Cardiovascular (CVD) is the leading cause of death worldwide and a significant public
health concern. Therefore, its mortality prediction is crucial to many existing treatment …

Novel BSSSO-based deep convolutional neural network for face recognition with multiple disturbing environments

N Soni, EK Sharma, A Kapoor - Electronics, 2021 - mdpi.com
Face recognition technology is presenting exciting opportunities, but its performance gets
degraded because of several factors, like pose variation, partial occlusion, expression …

[PDF][PDF] The Comparative Study on Clustering Method U sing Hospital Facility Data in Jakarta District and Surrounding Areas

YW Romadon, D Fitrianah - International Journal of …, 2019 - pdfs.semanticscholar.org
The present study reports the findings of a comparative analysis conducted on health facility
research (HFR) data, based on a clustering method with K-Means and K-Medoids algorithm …

An Investigation into the treatment and modelling of Municipal Solid Waste Incineration (MSWI) Air Pollution Control (APC) residues

M Khalid - 2019 - repository.uel.ac.uk
Air Pollution Control (APC) residues from Municipal Solid Waste Incineration (MSWI) is
considered a problematic hazardous waste, with no current viable reuse, within the UK …

Применение рекуррентной нейронной сети с длинной краткосрочной памятью для классификации информации из оперативных сводок системы МВД …

ЭВ Мартыненко, ВИ Воронов - … и информационные технологии, 2018 - elibrary.ru
Описываются инструменты и методы, используемые в построении нейронной сети для
семантической классификации текста, а также дополнительного программного …

AI Deep Learning with Convolutional Neural Networks on Google Cloud Platform

TL Nguyen - Journal of Strategic Innovation and Sustainability, 2019 - articlearchives.co
Big data can help established firms drastically transformed themselves, bring forth a whole
new industry, and enable companies of any size to innovate, gain competitive advantage …