85   Artículos

 
en línea
Yiming Fan and Meng Wang    
Software specifications are of great importance to improve the quality of software. To automatically mine specifications from software systems, some specification mining approaches based on finite-state automatons have been proposed. However, these appro... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Norah Abanmi, Heba Kurdi and Mai Alzamel    
The prevalence of malware attacks that target IoT systems has raised an alarm and highlighted the need for efficient mechanisms to detect and defeat them. However, detecting malware is challenging, especially malware with new or unknown behaviors. The ma... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Xin Jin, Cheng Lin, Jiangtao Ji, Wenhao Li, Bo Zhang and Hongbin Suo    
The extraction of navigation lines plays a crucial role in the autonomous navigation of agricultural robots. This work offers a method of ridge navigation route extraction, based on deep learning, to address the issues of poor real-time performance and l... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Mohammed Baljon and Sunil Kumar Sharma    
Every farmer requires access to rainfall prediction (RP) to continue their exploration of harvest yield. The proper use of water assets, the successful collection of water, and the successful pre-growth of water construction all depend on an accurate ass... ver más
Revista: Water    Formato: Electrónico

 
en línea
Jiahui Zhao, Zhibin Li, Pan Liu     Pág. 19?41
The land-use identification process, which involves quantifying the types and intensity of human activities at a regional level, is a critical investigation step for ongoing land-use planning. One limitation of land-use identification practices is that t... ver más
Revista: Journal of Transport and Land Use    Formato: Electrónico

 
en línea
Chaity Mondol, F. M. Javed Mehedi Shamrat, Md. Robiul Hasan, Saidul Alam, Pronab Ghosh, Zarrin Tasnim, Kawsar Ahmed, Francis M. Bui and Sobhy M. Ibrahim    
Chronic kidney disease (CKD) is one of the most life-threatening disorders. To improve survivability, early discovery and good management are encouraged. In this paper, CKD was diagnosed using multiple optimized neural networks against traditional neural... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Gang Sun, Hancheng Yu, Xiangtao Jiang and Mingkui Feng    
Edge detection is one of the fundamental computer vision tasks. Recent methods for edge detection based on a convolutional neural network (CNN) typically employ the weighted cross-entropy loss. Their predicted results being thick and needing post-process... ver más
Revista: Information    Formato: Electrónico

 
en línea
Elias Dritsas and Maria Trigka    
The lungs are the center of breath control and ensure that every cell in the body receives oxygen. At the same time, they filter the air to prevent the entry of useless substances and germs into the body. The human body has specially designed defence mec... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Heba Ismail, Ashraf Khalil, Nada Hussein and Rawan Elabyad    
This research proposes a well-being analytical framework using social media chatter data. The proposed framework infers analytics and provides insights into the public?s well-being relevant to education throughout and post the COVID-19 pandemic through a... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Elias Dritsas and Maria Trigka    
Chronic kidney disease (CKD) is a condition characterized by progressive loss of kidney function over time. It describes a clinical entity that causes kidney damage and affects the general health of the human body. Improper diagnosis and treatment of the... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

« Anterior     Página: 1 de 5     Siguiente »