Deep learning: a comprehensive overview on techniques, taxonomy, applications and research directions
IH Sarker - SN computer science, 2021 - Springer
Deep learning (DL), a branch of machine learning (ML) and artificial intelligence (AI) is
nowadays considered as a core technology of today's Fourth Industrial Revolution (4IR or …
nowadays considered as a core technology of today's Fourth Industrial Revolution (4IR or …
[HTML][HTML] Adoption of artificial intelligence in smart cities: A comprehensive review
Recently, the population density in cities has increased at a higher pace. According to the
United Nations Population Fund, cities accommodated 3.3 billion people (54%) of the global …
United Nations Population Fund, cities accommodated 3.3 billion people (54%) of the global …
Rodin: A generative model for sculpting 3d digital avatars using diffusion
This paper presents a 3D diffusion model that automatically generates 3D digital avatars
represented as neural radiance fields (NeRFs). A significant challenge for 3D diffusion is …
represented as neural radiance fields (NeRFs). A significant challenge for 3D diffusion is …
Deep learning in drug discovery: an integrative review and future challenges
Recently, using artificial intelligence (AI) in drug discovery has received much attention
since it significantly shortens the time and cost of develo** new drugs. Deep learning (DL) …
since it significantly shortens the time and cost of develo** new drugs. Deep learning (DL) …
[HTML][HTML] Applications of text mining in services management: A systematic literature review
The importance of text mining is increasing in services management as the access to big
data is increasing across digital platforms enabling such services. This study adopts a …
data is increasing across digital platforms enabling such services. This study adopts a …
The power of generative ai: A review of requirements, models, input–output formats, evaluation metrics, and challenges
A Bandi, PVSR Adapa, YEVPK Kuchi - Future Internet, 2023 - mdpi.com
Generative artificial intelligence (AI) has emerged as a powerful technology with numerous
applications in various domains. There is a need to identify the requirements and evaluation …
applications in various domains. There is a need to identify the requirements and evaluation …
[HTML][HTML] A systematic review of data fusion techniques for optimized structural health monitoring
Advancements in structural health monitoring (SHM) techniques have spiked in the past few
decades due to the rapid evolution of novel sensing and data transfer technologies. This …
decades due to the rapid evolution of novel sensing and data transfer technologies. This …
Generative adversarial networks for face generation: A survey
Recently, generative adversarial networks (GANs) have progressed enormously, which
makes them able to learn complex data distributions in particular faces. More and more …
makes them able to learn complex data distributions in particular faces. More and more …
On the analyses of medical images using traditional machine learning techniques and convolutional neural networks
Convolutional neural network (CNN) has shown dissuasive accomplishment on different
areas especially Object Detection, Segmentation, Reconstruction (2D and 3D), Information …
areas especially Object Detection, Segmentation, Reconstruction (2D and 3D), Information …
The state of the art in deep learning applications, challenges, and future prospects: A comprehensive review of flood forecasting and management
Floods are a devastating natural calamity that may seriously harm both infrastructure and
people. Accurate flood forecasts and control are essential to lessen these effects and …
people. Accurate flood forecasts and control are essential to lessen these effects and …