Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Deep learning modelling techniques: current progress, applications, advantages, and challenges
Deep learning (DL) is revolutionizing evidence-based decision-making techniques that can
be applied across various sectors. Specifically, it possesses the ability to utilize two or more …
be applied across various sectors. Specifically, it possesses the ability to utilize two or more …
Unmanned aerial vehicles (UAVs): Practical aspects, applications, open challenges, security issues, and future trends
Recently, unmanned aerial vehicles (UAVs) or drones have emerged as a ubiquitous and
integral part of our society. They appear in great diversity in a multiplicity of applications for …
integral part of our society. They appear in great diversity in a multiplicity of applications for …
Machine learning and deep learning: A review of methods and applications
Abstract Machine learning and deep learning have rapidly emerged as powerful tools in
many fields, including image and speech recognition, natural language processing, and …
many fields, including image and speech recognition, natural language processing, and …
Towards the unmanned aerial vehicles (UAVs): A comprehensive review
Recently, unmanned aerial vehicles (UAVs), also known as drones, have come in a great
diversity of several applications such as military, construction, image and video map** …
diversity of several applications such as military, construction, image and video map** …
AI meets UAVs: A survey on AI empowered UAV perception systems for precision agriculture
Precision Agriculture (PA) promises to boost crop productivity while reducing agricultural
costs and environmental footprints, and therefore is attracting ever-increasing interests in …
costs and environmental footprints, and therefore is attracting ever-increasing interests in …
Challenges in deploying machine learning: a survey of case studies
In recent years, machine learning has transitioned from a field of academic research interest
to a field capable of solving real-world business problems. However, the deployment of …
to a field capable of solving real-world business problems. However, the deployment of …
Machine learning-aided operations and communications of unmanned aerial vehicles: A contemporary survey
Over the past decade, Unmanned Aerial Vehicles (UAVs) have provided pervasive, efficient,
and cost-effective solutions for data collection and communications. Their excellent mobility …
and cost-effective solutions for data collection and communications. Their excellent mobility …
A review of recurrent neural networks: LSTM cells and network architectures
Recurrent neural networks (RNNs) have been widely adopted in research areas concerned
with sequential data, such as text, audio, and video. However, RNNs consisting of sigma …
with sequential data, such as text, audio, and video. However, RNNs consisting of sigma …
A comprehensive survey on radio frequency (RF) fingerprinting: Traditional approaches, deep learning, and open challenges
Fifth generation (5G) network and beyond envision massive Internet of Things (IoT) rollout to
support disruptive applications such as extended reality (XR), augmented/virtual reality …
support disruptive applications such as extended reality (XR), augmented/virtual reality …
Unmanned aerial vehicles (UAVs): A survey on civil applications and key research challenges
The use of unmanned aerial vehicles (UAVs) is growing rapidly across many civil
application domains, including real-time monitoring, providing wireless coverage, remote …
application domains, including real-time monitoring, providing wireless coverage, remote …