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COVID-19 detection using deep learning models to exploit Social Mimic Optimization and structured chest X-ray images using fuzzy color and stacking approaches
Coronavirus causes a wide variety of respiratory infections and it is an RNA-type virus that
can infect both humans and animal species. It often causes pneumonia in humans. Artificial …
can infect both humans and animal species. It often causes pneumonia in humans. Artificial …
A new lightweight deep neural network for surface scratch detection
This paper aims to develop a lightweight convolutional neural network, WearNet, to realise
automatic scratch detection for components in contact sliding such as those in metal forming …
automatic scratch detection for components in contact sliding such as those in metal forming …
A survey on deep reinforcement learning architectures, applications and emerging trends
From a future perspective and with the current advancements in technology, deep
reinforcement learning (DRL) is set to play an important role in several areas like …
reinforcement learning (DRL) is set to play an important role in several areas like …
Application of pre-trained deep convolutional neural networks for coffee beans species detection
Coffee is an important export product of the tropical countries where it is grown. Therefore,
the separation of coffee beans in the world in terms of the quality element and variety forgery …
the separation of coffee beans in the world in terms of the quality element and variety forgery …
Artificial intelligent systems for vehicle classification: A survey
Digitalization is revolutionizing our way of life and catalyzing the transformation into smart
city. Intelligent Transportation System (ITS) being an indispensable component of smart city …
city. Intelligent Transportation System (ITS) being an indispensable component of smart city …
A multi-stage deep-learning-based vehicle and license plate recognition system with real-time edge inference
Video streaming-based real-time vehicle identification and license plate recognition systems
are challenging to design and deploy in terms of real-time processing on edge, dealing with …
are challenging to design and deploy in terms of real-time processing on edge, dealing with …
An automated vision-based deep learning model for efficient detection of android malware attacks
Recently, cybersecurity experts and researchers have given special attention to develo**
cost-effective deep learning (DL)-based algorithms for Android malware detection (AMD) …
cost-effective deep learning (DL)-based algorithms for Android malware detection (AMD) …
Comparative analysis of AlexNet, ResNet18 and SqueezeNet with diverse modification and arduous implementation
Road cracks are caused due to the abundant usage of the roads, heavy traffic, and
increased prerequisite of transportation. So road maintenance is an important aspect of such …
increased prerequisite of transportation. So road maintenance is an important aspect of such …
RETRACTED ARTICLE: Deep learning-based automated disease detection and classification model for precision agriculture
A Pavithra, G Kalpana, T Vigneswaran - Soft Computing, 2024 - Springer
Plant phenoty** and Precision agriculture are information-and technology-oriented fields
with specific challenges and demands for the detection and diagnosis of plant disease …
with specific challenges and demands for the detection and diagnosis of plant disease …
Convolutional neural network and its pretrained models for image classification and object detection: A survey
At present, in the age of computers and automation of services, deep learning (DL)
technology, mainly the subset of machine learning (ML) and artificial intelligence (AI), is …
technology, mainly the subset of machine learning (ML) and artificial intelligence (AI), is …