18   Artículos

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en línea
Grace-Mercure Bakanina Kissanga, Hasan Zulfiqar, Shenghan Gao, Sophyani Banaamwini Yussif, Biffon Manyura Momanyi, Lin Ning, Hao Lin and Cheng-Bing Huang    
Accurate prediction of subcellular localization of viral proteins is crucial for understanding their functions and developing effective antiviral drugs. However, this task poses a significant challenge, especially when relying on expensive and time-consu... ver más
Revista: Information    Formato: Electrónico

 
en línea
Kexiao Xie, Dongkai Lin, Weihan Zhu, Yongqiang Ma, Jiaxiong Qiu, Youcheng Chen and Zhidan Chen    
Tea is a global economic crop. In the traditional sales model, the quality of tea is difficult to judge via external clues, and it basically relies on consumers to taste and experience it firsthand. However, currently, most e-commerce platforms can only ... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Yefang Sun, Jun Gong and Yueyi Zhang    
Data imbalance is a common problem in classification tasks. The Mahalanobis-Taguchi system (MTS) has proven to be promising due to its lack of requirements for data distribution. The MTS is a binary classifier. However, multi-classification problems are ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Nasser Tamim, Mohamed Elshrkawey and Hamed Nassar    
Diabetic retinopathy (DR) and glaucoma can both be incurable if they are not detected early enough. Therefore, ophthalmologists worldwide are striving to detect them by personally screening retinal fundus images. However, this procedure is not only tedio... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Junsang Park, Jin-kook Kim, Sunghoon Jung, Yeongjoon Gil, Jong-Il Choi and Ho Sung Son    
Accurate electrocardiogram (ECG) interpretation is crucial in the clinical ECG workflow because it is most likely associated with a disease that can cause major problems in the body. In this study, we proposed an ECG-signal multi-classification model usi... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Nadia Brancati and Maria Frucci    
To support pathologists in breast tumor diagnosis, deep learning plays a crucial role in the development of histological whole slide image (WSI) classification methods. However, automatic classification is challenging due to the high-resolution data and ... ver más
Revista: Information    Formato: Electrónico

 
en línea
Ziquan Zhu, Zeyu Ren, Siyuan Lu, Shuihua Wang and Yudong Zhang    
Background: Blood is responsible for delivering nutrients to various organs, which store important health information about the human body. Therefore, the diagnosis of blood can indirectly help doctors judge a person?s physical state. Recently, researche... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Mohammad H. Alshayeji and Jassim Al-Buloushi    
Improved disease prediction accuracy and reliability are the main concerns in the development of models for the medical field. This study examined methods for increasing classification accuracy and proposed a precise and reliable framework for categorizi... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Marcelo Picolotto Corso, Fabio Luis Perez, Stéfano Frizzo Stefenon, Kin-Choong Yow, Raúl García Ovejero and Valderi Reis Quietinho Leithardt    
Contamination on insulators may increase the surface conductivity of the insulator, and as a consequence, electrical discharges occur more frequently, which can lead to interruptions in a power supply. To maintain reliability in an electrical distributio... ver más
Revista: Computers    Formato: Electrónico

 
en línea
Nasrin Elhassan, Giuseppe Varone, Rami Ahmed, Mandar Gogate, Kia Dashtipour, Hani Almoamari, Mohammed A. El-Affendi, Bassam Naji Al-Tamimi, Faisal Albalwy and Amir Hussain    
Social media networks have grown exponentially over the last two decades, providing the opportunity for users of the internet to communicate and exchange ideas on a variety of topics. The outcome is that opinion mining plays a crucial role in analyzing u... ver más
Revista: Computers    Formato: Electrónico

 
en línea
Khaled A. Alaghbari, Heng-Siong Lim, Mohamad Hanif Md Saad and Yik Seng Yong    
The intrusion detection system (IDS) is a promising technology for ensuring security against cyber-attacks in internet-of-things networks. In conventional IDS, anomaly detection and feature extraction are performed by two different models. In this paper,... ver más
Revista: IoT    Formato: Electrónico

 
en línea
Zhiguo Liang, Lijun Zhang and Xizhe Wang    
Since failure of steam turbines occurs frequently and can causes huge losses for thermal plants, it is important to identify a fault in advance. A novel clustering fault diagnosis method for steam turbines based on t-distribution stochastic neighborhood ... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Xi Chen, Lei Dong, Hong-Chang Li, Xin-Peng Yao, Peng Wang and Shuang Yao    
Defects and errors in code are different in that they are not detected by editors or compilers but pose a potential risk to software operation. For safety-critical software such as airborne software, the code review process is necessary to ensure the pro... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Mingyang Han, Ruifeng Liu, Hengyun Ma, Kaiyang Zhong, Jian Wang and Yifan Xu    
Based on the microdata of 11,547 farmers from the China Labor Dynamics Survey (CLDS) database in 2017, an ordered multi-classification logistic model was constructed to empirically test the impact of social capital (i.e., social networks, social particip... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Rubayyi Alghamdi and Martine Bellaiche    
Using the Internet of Things (IoT) for various applications, such as home and wearables devices, network applications, and even self-driven vehicles, detecting abnormal traffic is one of the problematic areas for researchers to protect network infrastruc... ver más
Revista: IoT    Formato: Electrónico

 
en línea
Jian Liu, Bin Meng, Juan Wang, Siyu Chen, Bin Tian and Guoqing Zhi    
The use of social media data provided powerful data support to reveal the spatiotemporal characteristics and mechanisms of human activity, as it integrated rich spatiotemporal and textual semantic information. However, previous research has not fully uti... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Er-gen Wang, Jian Sun, Shun Jiang, Feng Li     Pág. 1327 - 1341
Merging behaviors on the acceleration lane are viewed as a key trigger in expressway breakdown and potentially increase driving risk. The main goal of this article is to make a high-precision prediction on four kinds of merging behaviors at expressway on... ver más
Revista: Transportation Research Procedia    Formato: Electrónico

 
en línea
Xingliang Jiang, Yunfeng Xia, Jianlin Hu, Zhijin Zhang, Lichun Shu and Caxin Sun    
During their long-term outdoor field service, overhead transmission lines will be exposed to strikes by lightning, corrosion by chemical contaminants, ice-shedding, wind vibration of conductors, line galloping, external destructive forces and so on, whic... ver más
Revista: Energies    Formato: Electrónico

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