|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
|
|
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
|
|
|
|
|
|