Super-resolution reconstruction framework of wind turbine wake: Design and application
Complete and clear global wind turbine wake data is very important for the study of wind
turbine wake characteristics in increasingly large offshore wind farms. Existing wake …
turbine wake characteristics in increasingly large offshore wind farms. Existing wake …
Classification of Kidney Ailments using CNN in CT Images
CT-SCAN (computer tomography) is a non-invasive diagnostic imaging procedure which
helps us to have clear and detailed images of any specific part of the body. It produces …
helps us to have clear and detailed images of any specific part of the body. It produces …
An adaptive neuro-fuzzy inference system to monitor and manage the soil quality to improve sustainable farming in agriculture
S Remya - Soft Computing, 2022 - Springer
Neural network is one among the foremost powerful predictive analytics techniques. This
paper considers a wide range of neural network topologies, followed by an examination of …
paper considers a wide range of neural network topologies, followed by an examination of …
Enhanced object detection in floor plan through super-resolution
D Khare, NS Kamal, HB Barathi Ganesh… - … , Network Security and …, 2023 - Springer
Building information modelling (BIM) software uses scalable vector formats to enable flexible
designing of floor plans in the industry. Floor plans in the architectural domain can come …
designing of floor plans in the industry. Floor plans in the architectural domain can come …
Enhancing the Resolution of ChestX-ray Images with SRGAN and Sub-Pixel CNN
A crucial diagnostic tool for respiratory and heart disorders is chest X-ray imaging. However,
the limited resolution of acquired images can hinder accurate interpretation and subsequent …
the limited resolution of acquired images can hinder accurate interpretation and subsequent …
Enhancing Medical Imaging: Noise Reduction and Super Resolution with Transfer Learning
KL Reddy, GB Mohan - 2024 2nd International Conference on …, 2024 - ieeexplore.ieee.org
Medical image improvement, including noise reduction and super-resolution, is vital for
proper diagnosis and therapy. However, conventional approaches typically fail to generate …
proper diagnosis and therapy. However, conventional approaches typically fail to generate …
A Novel Framework for Forensic Bone Age Estimation Using CNN Architecture and Multimodal Fusion
S Remya, CG Dwaz, PG Pillai… - 2023 7th International …, 2023 - ieeexplore.ieee.org
This study introduces an approach to forensic bone age estimation by employing a
multimodal fusion strategy within a Convolutional Neural Network (CNN) architecture. The …
multimodal fusion strategy within a Convolutional Neural Network (CNN) architecture. The …
Blur Classification and Estimation of Motion Blur Parameters Using OLR
S Sakthivel, AR RK - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
The atmospheric conditions impair the quality of underwater pictures. Motion blur induced by
the imaging device or the movement of the object is one of the most significant issues in …
the imaging device or the movement of the object is one of the most significant issues in …
Adaptive Fusion Techniques for Image Super-Resolution
P Ga, AA Vadakkan, RC Jisha - 2023 2nd International …, 2023 - ieeexplore.ieee.org
This research paper presents a thorough analysis of Image Super-Resolution (ISR)
methods, covering their historical evolution, challenges, recent advances, and significance …
methods, covering their historical evolution, challenges, recent advances, and significance …