44   Artículos

 
en línea
Jingxiong Lei, Xuzhi Liu, Haolang Yang, Zeyu Zeng and Jun Feng    
High-resolution remote sensing images (HRRSI) have important theoretical and practical value in urban planning. However, current segmentation methods often struggle with issues like blurred edges and loss of detailed information due to the intricate back... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Mohamad Abou Ali, Fadi Dornaika and Ignacio Arganda-Carreras    
Artificial intelligence (AI) has emerged as a cutting-edge tool, simultaneously accelerating, securing, and enhancing the diagnosis and treatment of patients. An exemplification of this capability is evident in the analysis of peripheral blood smears (PB... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Ogbaje Andrew, Armando Apan, Dev Raj Paudyal and Kithsiri Perera    
The accuracy of most SAR-based flood classification and segmentation derived from semi-automated algorithms is often limited due to complicated radar backscatter. However, deep learning techniques, now widely applied in image classifications, have demons... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Yaowei Feng, Zhendong Li, Dong Yang, Hongkai Hu, Hui Guo and Hao Liu    
The segmentation of optic disc (OD) and optic cup (OC) are used in the automatic diagnosis of glaucoma. However, the spatially ambiguous boundary and semantically uncertain region-of-interest area in pictures may lead to the degradation of the performanc... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Marco Mastrofini, Ivan Agostinelli and Fabio Curti    
The present work focuses on the investigation of an artificial intelligence (AI) algorithm for brightest objects segmentation in night sky images? field of view (FOV). This task is mandatory for many applications that want to focus on the brightest objec... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Pradeep Kumar Jena, Bonomali Khuntia, Charulata Palai, Manjushree Nayak, Tapas Kumar Mishra and Sachi Nandan Mohanty    
Automatic screening of diabetic retinopathy (DR) is a well-identified area of research in the domain of computer vision. It is challenging due to structural complexity and a marginal contrast difference between the retinal vessels and the background of t... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
J. Dhakshayani and B. Surendiran    
Amaranth, a pseudocereal crop which is rich in nutrients and climate resistant, can provide an opportunity to increase food security and nutritional content for the growing population. Farmers rely mainly on synthetic fertilizers to improve the quality a... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Hamed Alghamdi and Turki Turki    
Overlooked diseases in agriculture severely impact crop growth, which results in significant losses for farmers. Unfortunately, manual field visits for plant disease diagnosis (PDD) are costly and time consuming. Although various methods of PDD have been... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Niousha Ghannad and Kalpdrum Passi    
Currently, video and digital images possess extensive utility, ranging from recreational and social media purposes to verification, military operations, legal proceedings, and penalization. The enhancement mechanisms of this medium have undergone signifi... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Jialin Dong, Katherine Sitler, Joseph Scalia, Yunhao Ge, Paul Bireta, Natasha Sihota, Thomas P. Hoelen and Gregory V. Lowry    
Oil sheen on the water surface can indicate a source of hydrocarbon in underlying subaquatic sediments. Here, we develop and test the accuracy of an algorithm for automated real-time visual monitoring of the water surface for detecting oil sheen. This de... ver más
Revista: Applied Sciences    Formato: Electrónico

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