Machine learning in marketing: A literature review, conceptual framework, and research agenda
EWT Ngai, Y Wu - Journal of Business Research, 2022 - Elsevier
In recent years, machine learning (ML) and artificial intelligence (AI) have attracted
considerable attention in different industry sectors, including marketing. ML and AI hold …
considerable attention in different industry sectors, including marketing. ML and AI hold …
A review of distributed acoustic sensing applications for railroad condition monitoring
Accurate condition monitoring has been a major challenge among railroad management
authorities as they work to minimize collisions that lead to fatalities or damage to railroads …
authorities as they work to minimize collisions that lead to fatalities or damage to railroads …
A smartphone-based application for an early skin disease prognosis: Towards a lean healthcare system via computer-based vision
Malignancy is the tendency of a medical condition to progressively become fatal and
generally refers to the presence of cancerous cells that can spread, invade, and destroy …
generally refers to the presence of cancerous cells that can spread, invade, and destroy …
Waste reduction via image classification algorithms: beyond the human eye with an AI-based vision
Modern manufacturing is the world's largest and most automated industrial sector. The rise
of Industry 4.0 technologies such as Big Data, Internet of Things (IoT) devices, and Machine …
of Industry 4.0 technologies such as Big Data, Internet of Things (IoT) devices, and Machine …
A review of embedded machine learning based on hardware, application, and sensing scheme
Machine learning is an expanding field with an ever-increasing role in everyday life, with its
utility in the industrial, agricultural, and medical sectors being undeniable. Recently, this …
utility in the industrial, agricultural, and medical sectors being undeniable. Recently, this …
An augmentation aided concise CNN based architecture for COVID-19 diagnosis in real time
Over 6.5 million people around the world have lost their lives due to the highly contagious
COVID 19 virus. The virus increases the danger of fatal health effects by damaging the lungs …
COVID 19 virus. The virus increases the danger of fatal health effects by damaging the lungs …
Classification and fast few-shot learning of steel surface defects with randomized network
Quality inspection is inevitable in the steel industry so there are already benchmark datasets
for the visual inspection of steel surface defects. In our work, we show, contrary to previous …
for the visual inspection of steel surface defects. In our work, we show, contrary to previous …
An automated and intelligent microfluidic platform for microalgae detection and monitoring
Microalgae not only play a vital role in the ecosystem but also hold promising commercial
applications. Conventional methods of detecting and monitoring microalgae rely on field …
applications. Conventional methods of detecting and monitoring microalgae rely on field …
Facial emotion recognition (FER) through custom lightweight CNN model: performance evaluation in public datasets
Facial emotion recognition is a crucial process for many applications and is still unresolved.
Historically, emotional recognition has usually been achieved through artificial intelligence …
Historically, emotional recognition has usually been achieved through artificial intelligence …
Fast target recognition based on improved ORB feature
Y **e, Q Wang, Y Chang, X Zhang - Applied Sciences, 2022 - mdpi.com
A novel fast target recognition algorithm is proposed under the dynamic scene moving target
recognition. Aiming at the poor matching effect of the traditional Oriented Fast and Rotated …
recognition. Aiming at the poor matching effect of the traditional Oriented Fast and Rotated …