[HTML][HTML] A comprehensive review of recent research trends on unmanned aerial vehicles (uavs)
The growing interest in unmanned aerial vehicles (UAVs) from both the scientific and
industrial sectors has attracted a wave of new researchers and substantial investments in …
industrial sectors has attracted a wave of new researchers and substantial investments in …
[HTML][HTML] Face mask detection in smart cities using deep and transfer learning: Lessons learned from the COVID-19 pandemic
After different consecutive waves, the pandemic phase of Coronavirus disease 2019 does
not look to be ending soon for most countries across the world. To slow the spread of the …
not look to be ending soon for most countries across the world. To slow the spread of the …
Deep transfer learning for automatic speech recognition: Towards better generalization
Automatic speech recognition (ASR) has recently become an important challenge when
using deep learning (DL). It requires large-scale training datasets and high computational …
using deep learning (DL). It requires large-scale training datasets and high computational …
Automatic speech recognition using advanced deep learning approaches: A survey
Recent advancements in deep learning (DL) have posed a significant challenge for
automatic speech recognition (ASR). ASR relies on extensive training datasets, including …
automatic speech recognition (ASR). ASR relies on extensive training datasets, including …
[PDF][PDF] Deep transfer learning for intrusion detection in industrial control networks: A comprehensive review
Globally, the external Internet is increasingly being connected to the contemporary industrial
control system. As a result, there is an immediate need to protect the network from several …
control system. As a result, there is an immediate need to protect the network from several …
[HTML][HTML] Generalized morse wavelets parameter selection and transfer learning for pavement transverse cracking detection
EA Martinez-Ríos, R Bustamante-Bello… - … Applications of Artificial …, 2023 - Elsevier
Monitoring road surface anomalies is crucial to avoid potential harm to pedestrians,
vehicles, and vehicle users. These factors have motivated the development of systems that …
vehicles, and vehicle users. These factors have motivated the development of systems that …
[HTML][HTML] Ai in thyroid cancer diagnosis: Techniques, trends, and future directions
Artificial intelligence (AI) has significantly impacted thyroid cancer diagnosis in recent years,
offering advanced tools and methodologies that promise to revolutionize patient outcomes …
offering advanced tools and methodologies that promise to revolutionize patient outcomes …
Deep learning for steganalysis of diverse data types: A review of methods, taxonomy, challenges and future directions
Steganography and steganalysis are two interrelated aspects of the field of information
security. Steganography seeks to conceal communications, whereas steganalysis aims to …
security. Steganography seeks to conceal communications, whereas steganalysis aims to …
Revolutionizing generative pre-traineds: Insights and challenges in deploying ChatGPT and generative chatbots for FAQs
In the rapidly evolving domain of artificial intelligence, chatbots have emerged as a potent
tool for various applications ranging from e-commerce to healthcare. This research delves …
tool for various applications ranging from e-commerce to healthcare. This research delves …
Multilinear subspace learning for Person Re-Identification based fusion of high order tensor features
A Chouchane, M Bessaoudi, H Kheddar… - … Applications of Artificial …, 2024 - Elsevier
Video surveillance image analysis and processing is an important field in computer vision
and among the challenging tasks for Person Re-Identification (PRe-ID). The latter aims at …
and among the challenging tasks for Person Re-Identification (PRe-ID). The latter aims at …