793   Artículos

 
en línea
Hugo López-Fernández     Pág. 22 - 25
Mass spectrometry using matrix assisted laser desorption ionization coupled to time of flight analyzers (MALDI-TOF MS) has become popular during the last decade due to its high speed, sensitivity and robustness for detecting proteins and peptides. This a... ver más
Revista: Inteligencia Artificial    Formato: Electrónico

 
en línea
May Alsaidi, Nadim Obeid, Nailah Al-Madi, Hazem Hiary and Ibrahim Aljarah    
Autism spectrum disorder (ASD) is a developmental disorder that encompasses difficulties in communication (both verbal and non-verbal), social skills, and repetitive behaviors. The diagnosis of autism spectrum disorder typically involves specialized proc... ver más
Revista: Information    Formato: Electrónico

 
en línea
Zhiyang Li, Zhigang Nie and Guang Li    
One of the crucial research areas in agricultural decision-making processes is crop yield prediction. This study leverages the advantages of hybrid models to address the complex interplay of genetic, environmental, and management factors to achieve more ... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
Dania Tamayo-Vera, Xiuquan Wang and Morteza Mesbah    
The interplay of machine learning (ML) and deep learning (DL) within the agroclimatic domain is pivotal for addressing the multifaceted challenges posed by climate change on agriculture. This paper embarks on a systematic review to dissect the current ut... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Mazen A. Al-Sinan, Abdulaziz A. Bubshait and Zainab Aljaroudi    
Recent advancements in machine learning (ML) applications have set the stage for the development of autonomous construction project scheduling systems. This study presents a blueprint to demonstrate how construction project schedules can be generated aut... ver más
Revista: Buildings    Formato: Electrónico

 
en línea
Artur Chudzik and Andrzej W. Przybyszewski    
Neurodegenerative diseases (NDs), including Parkinson?s and Alzheimer?s disease, pose a significant challenge to global health, and early detection tools are crucial for effective intervention. The adaptation of online screening forms and machine learnin... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Yangqing Xu, Yuxiang Zhao, Qiangqiang Jiang, Jie Sun, Chengxin Tian and Wei Jiang    
During the construction of deep foundation pits in subways, it is crucial to closely monitor the horizontal displacement of the pit enclosure to ensure stability and safety, and to reduce the risk of structural damage caused by pit deformations. With adv... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Boris Stanoev, Goran Mitrov, Andrea Kulakov, Georgina Mirceva, Petre Lameski and Eftim Zdravevski    
With the exponential growth of data, extracting actionable insights becomes resource-intensive. In many organizations, normalized relational databases store a significant portion of this data, where tables are interconnected through some relations. This ... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Hassan Khazane, Mohammed Ridouani, Fatima Salahdine and Naima Kaabouch    
With the rapid advancements and notable achievements across various application domains, Machine Learning (ML) has become a vital element within the Internet of Things (IoT) ecosystem. Among these use cases is IoT security, where numerous systems are dep... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Xuyuan Zhang, Yingqing Guo, Haoran Luo, Tao Liu and Yijun Bao    
The rapid identification of the amount and characteristics of chemical oxygen demand (COD) in influent water is critical to the operation of wastewater treatment plants (WWTPs), especially for WWTPs in the face of influent water with a low carbon/nitroge... ver más
Revista: Water    Formato: Electrónico

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