459   Artículos

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en línea
James Coe and Mustafa Atay    
Revista: Computers    Formato: Electrónico

 
en línea
Asadullah Shaikh     Pág. pp. 4 - 6
 The Special Issue of the International Journal of Interactive Mobile Technologies (iJIM) is publishing very selective papers presented at the 6th edition of International Conference on Communication, Management, and Information Technology- ICCMIT 2... ver más

 
en línea
Ning Yu and Timothy Haskins    
Regional rainfall forecasting is an important issue in hydrology and meteorology. Machine learning algorithms especially deep learning methods have emerged as a part of prediction tools for regional rainfall forecasting. This paper aims to design and imp... ver más
Revista: Informatics    Formato: Electrónico

 
en línea
Gaurang Sonkavde, Deepak Sudhakar Dharrao, Anupkumar M. Bongale, Sarika T. Deokate, Deepak Doreswamy and Subraya Krishna Bhat    
The financial sector has greatly impacted the monetary well-being of consumers, traders, and financial institutions. In the current era, artificial intelligence is redefining the limits of the financial markets based on state-of-the-art machine learning ... ver más
Revista: International Journal of Financial Studies    Formato: Electrónico

 
en línea
Samuel-Soma M. Ajibade, Festus Victor Bekun, Festus Fatai Adedoyin, Bright Akwasi Gyamfi and Anthonia Oluwatosin Adediran    
This study examines the research climate on machine learning applications in renewable energy (MLARE). Therefore, the publication trends (PT) and bibliometric analysis (BA) on MLARE research published and indexed in the Elsevier Scopus database between 2... ver más
Revista: Clean Technologies    Formato: Electrónico

 
en línea
Alya Alshammari and Khalil El Hindi    
The combination of collaborative deep learning and Cyber-Physical Systems (CPSs) has the potential to improve decision-making, adaptability, and efficiency in dynamic and distributed environments. However, it brings privacy, communication, and resource r... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Yang Chao, Chaoning Lin, Tongchun Li, Huijun Qi, Dongming Li and Siyu Chen    
Aiming to investigate the problem that dam-monitoring data are difficult to analyze in a timely and accurate automated manner, in this paper, we propose an automated framework for dam health monitoring based on data microservices. The framework consists ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Minseok Kong and Jungmin So    
There are several automated stock trading programs using reinforcement learning, one of which is an ensemble strategy. The main idea of the ensemble strategy is to train DRL agents and make an ensemble with three different actor?critic algorithms: Advant... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Stefan Hensel, Marin B. Marinov and Raphael Panter    
In recent years, the advancement of micro-aerial vehicles has been rapid, leading to their widespread utilization across various domains due to their adaptability and efficiency. This research paper focuses on the development of a camera-based tracking s... ver más
Revista: Computation    Formato: Electrónico

 
en línea
Shihang Fu, Ying Fang, Nannan Wang, Zhaomin Tong and Yaolin Liu    
With the sustainable and coordinated development of cities, the formulation of urban street policies requires multiangle analysis. In regard to the existing street research, a large number of studies have focused on specific landscapes or accessibility o... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Lan Wang, Mingjiang Xie, Min Pan, Feng He, Bing Yang, Zhigang Gong, Xuke Wu, Mingsheng Shang and Kun Shan    
Harmful algal blooms (HABs) have been deteriorating global water bodies, and the accurate prediction of algal dynamics using the modelling method is a challenging research area. High-frequency monitoring and deep learning technology have opened up new ho... ver más
Revista: Water    Formato: Electrónico

 
en línea
Rubén E. Nogales and Marco E. Benalcázar    
Gesture recognition is widely used to express emotions or to communicate with other people or machines. Hand gesture recognition is a problem of great interest to researchers because it is a high-dimensional pattern recognition problem. The high dimensio... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Dabiah Alboaneen, Razan Alqarni, Sheikah Alqahtani, Maha Alrashidi, Rawan Alhuda, Eyman Alyahyan and Turki Alshammari    
One of the three most serious and deadly cancers in the world is colorectal cancer. The most crucial stage, like with any cancer, is early diagnosis. In the medical industry, artificial intelligence (AI) has recently made tremendous strides and showing p... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Valeria Mercuri, Martina Saletta and Claudio Ferretti    
As the prevalence and sophistication of cyber threats continue to increase, the development of robust vulnerability detection techniques becomes paramount in ensuring the security of computer systems. Neural models have demonstrated significant potential... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Gianmarco Baldini and Fausto Bonavitacola    
Channel identification is a useful function to support wireless telecommunication operations because the knowledge of the radio frequency propagation channel characteristics can improve communication efficiency and robustness. In recent times, the applic... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Majed A. Alshamari    
Social media has become common as a means to convey opinions and express the extent of satisfaction and dissatisfaction with a service or product. In the Kingdom of Saudi Arabia specifically, most social media users share positive and negative opinions a... ver más
Revista: Computers    Formato: Electrónico

 
en línea
Xin Yang, Shichen Gao, Qian Sun, Xiaohe Gu, Tianen Chen, Jingping Zhou and Yuchun Pan    
Lodging depresses the grain yield and quality of maize crop. Previous machine learning methods are used to classify crop lodging extents through visual interpretation and sensitive features extraction manually, which are cost-intensive, subjective and in... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Hussein Abdel-Jaber, Disha Devassy, Azhar Al Salam, Lamya Hidaytallah and Malak EL-Amir    
Deep learning uses artificial neural networks to recognize patterns and learn from them to make decisions. Deep learning is a type of machine learning that uses artificial neural networks to mimic the human brain. It uses machine learning methods such as... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Jacobo González-Cepeda, Álvaro Ramajo and José María Armingol    
Security cameras have been proven to be particularly useful in preventing and combating crime through identification tasks. Here, two areas can be mainly distinguished: person and vehicle identification. Automatic license plate readers are the most widel... ver más
Revista: Information    Formato: Electrónico

 
en línea
George Sisias, Myrto Konstantinidou and Sotirios Kontogiannis    
Automated deep learning and data mining algorithms can provide accurate detection, frequency patterns, and predictions of dangerous goods passing through motorways and tunnels. This paper presents a post-processing image detection application and a three... ver más
Revista: Algorithms    Formato: Electrónico

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