Artificial intelligence in the creative industries: a review
N Anantrasirichai, D Bull - Artificial intelligence review, 2022 - Springer
This paper reviews the current state of the art in artificial intelligence (AI) technologies and
applications in the context of the creative industries. A brief background of AI, and …
applications in the context of the creative industries. A brief background of AI, and …
A survey of IoT security based on a layered architecture of sensing and data analysis
The Internet of Things (IoT) is leading today's digital transformation. Relying on a
combination of technologies, protocols, and devices such as wireless sensors and newly …
combination of technologies, protocols, and devices such as wireless sensors and newly …
Deep learning and big data technologies for IoT security
Technology has become inevitable in human life, especially the growth of Internet of Things
(IoT), which enables communication and interaction with various devices. However, IoT has …
(IoT), which enables communication and interaction with various devices. However, IoT has …
Anomaly detection using edge computing in video surveillance system
DR Patrikar, MR Parate - International Journal of Multimedia Information …, 2022 - Springer
The current concept of smart cities influences urban planners and researchers to provide
modern, secured and sustainable infrastructure and gives a decent quality of life to its …
modern, secured and sustainable infrastructure and gives a decent quality of life to its …
Breast cancer detection using an ensemble deep learning method
In this work, the effectiveness of the deep learning model is applied for one-dimensional
data when converted to images. This work is based on the effective conversion of one …
data when converted to images. This work is based on the effective conversion of one …
A survey on machine learning in Internet of Things: Algorithms, strategies, and applications
In the IoT and WSN era, large number of connected objects and sensing devices are
dedicated to collect, transfer, and generate a huge amount of data for a wide variety of fields …
dedicated to collect, transfer, and generate a huge amount of data for a wide variety of fields …
Multi-view deep learning for zero-day Android malware detection
Zero-day malware samples pose a considerable danger to users as implicitly there are no
documented defences for previously unseen, newly encountered behaviour. Malware …
documented defences for previously unseen, newly encountered behaviour. Malware …
Deep learning architectures in emerging cloud computing architectures: Recent development, challenges and next research trend
The challenges of the conventional cloud computing paradigms motivated the emergence of
the next generation cloud computing architectures. The emerging cloud computing …
the next generation cloud computing architectures. The emerging cloud computing …
COVID‐19 diagnosis system by deep learning approaches
HK Bhuyan, C Chakraborty, Y Shelke… - Expert Systems, 2022 - Wiley Online Library
The novel coronavirus disease 2019 (COVID‐19) has been a severe health issue affecting
the respiratory system and spreads very fast from one human to other overall countries. For …
the respiratory system and spreads very fast from one human to other overall countries. For …
Few-cost salient object detection with adversarial-paced learning
D Zhang, H Tian, J Han - Advances in Neural Information …, 2020 - proceedings.neurips.cc
Detecting and segmenting salient objects from given image scenes has received great
attention in recent years. A fundamental challenge in training the existing deep saliency …
attention in recent years. A fundamental challenge in training the existing deep saliency …