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Browsing by Subject "Convolutional neural network"

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Automatic diagnosis of diabetic retinopathy using machine learning: a review

Gunawardhana, PL; Jayathilake, R; Withanage, Y; Ganegoda, GU [Conference-Full-text]

Diabetic Retinopathy is a popular cause of diabetes, causing vision-impacting lesions of the retina. Blindness may be avoided by early detection. The ophthalmologist's manual approach of diagnosing diabetic retinopathy is ...
Classification of fungi images using different convolutional neural networks

Nawarathne, UMMPK; Kumari, HMNS [Conference-Full-text]

Fungi offer vital solutions to humanity through roles in medicine, agriculture, and ecological balance while presenting potential threats. They have yielded antibiotics, food fermentation, and nutrient recycling however, ...
A dual cnn architecture for single image raindrop and rain streak removal

Sivaanpu, A; Thanikasalam, K [Conference-Abstract]

Visual quality of rainy images are considerably poor due to the raindrops in camera lens and the rain streaks in the background scenes. Although the raindrops and rain streaks are appeared together in real-world rainy ...
Exploring asymmetrical white matter abnormalities in Alzheimer’s using deep learning

Srivishagan, S; Kumaralingam, L; Ratnarajah, N; Thanikasalam, K; Pinidiyaarachchi, AJ

Despite the availability of various diagnostic techniques and extensive research efforts aimed at understanding Alzheimer’s disease (AD), accurately and automatically diagnosing AD using biomarkers and comprehending the ...
Feasibility study on pavement rutting evaluation method based on smartphone

Zhang, JX; Wang, PR; Cao, DD [Conference-Full-text]

With the continuous increase of constructions in highway, road maintenance has become more and more important. Thus, it is of great significance to develop the rapid, intelligent and real-time detection technologies for ...
Land-use change dynamics and automated feature extraction using high-resolution satellite imagery

Dey, M; Prakash, PS; Chandrashekar, CM; Aithal, BH [Conference-Full-text]

The mapping of urban landscapes is a challenging task due to their dense and diverse characteristics. The changing urban environment with developing infrastructure demands constant updates and accurate extraction techniques. ...
Machine learning-based automated tool to detect Sinhala hate speech in images

Silva, E; Nandathilaka, M; Dalugoda, S; Amarasinghe, T; Ahangama, S; Weerasuriya, GT [Conference-Full-text]

Social media platforms have emerged rapidly with technological advancements. Facebook, the most widely used social media platform has been the primary reason for the spread of hatred in Sri Lanka in the recent past. When ...
Performance analysis for different optimizers on the cnn model for covid-19 disease prediction based on chest x-ray images

Dhanapala, GHGSAD; Sotheeswaran, S [Conference-Full-text]

This paper analyzes the performance of different optimizers on the Convolutional Neural Network (CNN) model for COVID-19 disease prediction based on Chest X-ray images. The novel coronavirus known as ‘COVID-19’ or ‘Corona ...
Pose estimation of a robot arm from a single camera

Sithamparanathan, K; Rajendran, S; Thavapirakasam, P; Abeykoon, AMHS [Conference-Full-text]

This paper describes a vision based deep learning approach to estimate the pose of a robot arm from a single camera input, without any depth information. Conventionally, pose of robot arm is determined using encoders ...
Vehicle classification and detection from video image for non-lane-based heterogenous Dhaka traffic

Nayeem, NR; Enam, A; Mahmud, J [Conference-Abstract]

Traffic congestion is a significant problem in Dhaka – the capital city of Bangladesh. Traffic congestion is caused by several factors, including the high volume of non-motorized traffic, the lack of public transportation, ...

Browsing by Subject "Convolutional neural network"

Browsing by Subject "Convolutional neural network"

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