372   Artículos

 
en línea
Wei-Ling Hsu, Yi-Jheng Chang, Lin Mou, Juan-Wen Huang and Hsin-Lung Liu    
Historic urban areas are the foundations of urban development. Due to rapid urbanization, the sustainable development of historic urban areas has become challenging for many cities. Elements of tourism and tourism service facilities play an important rol... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Ching-Lung Fan    
The emergence of deep learning-based classification methods has led to considerable advancements and remarkable performance in image recognition. This study introduces the Multiscale Feature Convolutional Neural Network (MSFCNN) for the extraction of com... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Wei-Lung Mao, Sung-Hua Chen and Chun-Yu Kao    
Gantry-type dual-axis platforms can be used to move heavy loads or perform precision CNC work. Such gantry systems drive a single axis with two linear motors, and under heavy loads, a high driving force is required. This can generate a pulling force betw... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Shoffan Saifullah and Rafal Drezewski    
Accurate medical image segmentation is paramount for precise diagnosis and treatment in modern healthcare. This research presents a comprehensive study of the efficacy of particle swarm optimization (PSO) combined with histogram equalization (HE) preproc... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
H. Alperen Bulut and Remzi Sahin    
A comprehensive evaluation of the results obtained according to the measurement of radon gas in buildings and concrete, which is the most consumed material in the world after water, in accessible studies carried out in the last 40 years is the main objec... ver más
Revista: Buildings    Formato: Electrónico

 
en línea
Ku Muhammad Naim Ku Khalif, Woo Chaw Seng, Alexander Gegov, Ahmad Syafadhli Abu Bakar and Nur Adibah Shahrul    
Convolutional Neural Networks (CNNs) have garnered significant utilisation within automated image classification systems. CNNs possess the ability to leverage the spatial and temporal correlations inherent in a dataset. This study delves into the use of ... ver más
Revista: Information    Formato: Electrónico

 
en línea
Shih-Lun Fang, Yi-Shan Lin, Sheng-Chih Chang, Yi-Lung Chang, Bing-Yun Tsai and Bo-Jein Kuo    
The reference evapotranspiration (ET0) information is crucial for irrigation planning and water resource management. While the Penman-Monteith (PM) equation is widely recognized for ET0 calculation, its reliance on numerous meteorological parameters cons... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Sepideh Molaei, Stefano Cirillo and Giandomenico Solimando    
MicroRNAs (miRNAs) play a crucial role in cancer development, but not all miRNAs are equally significant in cancer detection. Traditional methods face challenges in effectively identifying cancer-associated miRNAs due to data complexity and volume. This ... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Darian M. Onchis, Flavia Costi, Codruta Istin, Ciprian Cosmin Secasan and Gabriel V. Cozma    
(1) Background: Lung cancers are the most common cancers worldwide, and prostate cancers are among the second in terms of the frequency of cancers diagnosed in men. Automatic ranking of the risk groups of such diseases is highly in demand, but the clinic... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Muflah Nasir, Muhammad Shahid Farid, Zobia Suhail and Muhammad Hassan Khan    
Lung cancer is the world?s second-largest cause of cancer mortality. Patients? lives can be saved if this malignancy is detected early. Doctors, however, encounter difficulties in detecting cancer in computed tomography (CT) images. In recent years, sign... ver más
Revista: Applied Sciences    Formato: Electrónico

« Anterior     Página: 1 de 23     Siguiente »