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Yuanbing Zheng, Caixin Sun, Jian Li, Qing Yang and Weigen Chen
The development of the smart grid has resulted in new requirements for fault prediction of power transformers. This paper presents an entropy-based Bagging (E-Bagging) method for prediction of characteristic parameters related to power transformers fault...
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Maya Hilda Lestari Louk and Bayu Adhi Tama
Classifier ensembles have been utilized in the industrial cybersecurity sector for many years. However, their efficacy and reliability for intrusion detection systems remain questionable in current research, owing to the particularly imbalanced data issu...
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Xu Yang, Yingsi Wu, Lihe Wang, Fei Liu, Xuan Zhao, Hongbin Bai, Wenxue Dong, Xiang Kong, Hengtong Hu, Wendong Zhong, Dezheng Xuan, Ao Yang and Yutao Ma
To address problems encountered in current potato harvesting machines, such as potato damage, poor adaptability, and low operational efficiency, a new towed potato picking and bagging machine (4UJ-180A) equipped with a soil-digging axis, flexible conveyi...
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Roman Rybka, Yury Davydov, Danila Vlasov, Alexey Serenko, Alexander Sboev and Vyacheslav Ilyin
Developing a spiking neural network architecture that could prospectively be trained on energy-efficient neuromorphic hardware to solve various data analysis tasks requires satisfying the limitations of prospective analog or digital hardware, i.e., local...
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Dhiaa A. Musleh and Maissa A. Al Metrik
Electricity is widely regarded as the most adaptable form of energy and a major secondary energy source. However, electricity is not economically storable; therefore, the power system requires a continuous balance of electricity production and consumptio...
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Leonardo Paul Luca, Francesco Scollo, Gaetano Distefano, Filippo Ferlito, Stefania Bennici, Ilaria Inzirillo, Alessandra Gentile, Stefano La Malfa and Elisabetta Nicolosi
Since ancient times, table grapes (Vitis vinifera L.) have been one of the most important fruit crops from the standpoint both of the producer (regional economics) and the consumer (healthy eating). In recent decades, much effort has been devoted to the ...
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Moussa Diallo, Shengwu Xiong, Eshete Derb Emiru, Awet Fesseha, Aminu Onimisi Abdulsalami and Mohamed Abd Elaziz
Classification algorithms have shown exceptional prediction results in the supervised learning area. These classification algorithms are not always efficient when it comes to real-life datasets due to class distributions. As a result, datasets for real-l...
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Christos Makris, Georgios Pispirigos and Ioannis Orestis Rizos
Presently, due to the extended availability of gigantic information networks and the beneficial application of graph analysis in various scientific fields, the necessity for efficient and highly scalable community detection algorithms has never been more...
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Wenzhong Yang, Tingting Yuan and Liejun Wang
Integrated learning can be used to combine weak classifiers in order to improve the effect of emotional classification. Existing methods of emotional classification on micro-blogs seldom consider utilizing integrated learning. Personality can significant...
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Syed Waqas Haider Shah, Khalid Iqbal and Ahmad Talal Riaz
The Internet-of-Things (IoT) is a paradigm shift from slow and manual approaches to fast and automated systems. It has been deployed for various use-cases and applications in recent times. There are many aspects of IoT that can be used for the assistance...
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Syed Waqas Haider Shah, Khalid Iqbal and Ahmad Talal Riaz
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Syna Sreng, Noppadol Maneerat, Kazuhiko Hamamoto and Ronakorn Panjaphongse
Diabetic Retinopathy (DR) is the leading cause of blindness in working-age adults globally. Primary screening of DR is essential, and it is recommended that diabetes patients undergo this procedure at least once per year to prevent vision loss. However, ...
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Tyas Setiyorini,Romi Satria Wahono
Pág. 37 - 42
Beton adalah bahan yang diolah yang terdiri dari semen, agregat kasar, agregat halus, air dan bahan tambahan lainnya. Kuat tekan beton sangat bergantung pada karakteristik dan komposisi bahan-bahan pembentuk beton. Metode neural network memiliki kinerja ...
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Tianyan Jiang, Jian Li, Yuanbing Zheng and Caixin Sun
This paper presents an Improved Bagging Algorithm (IBA) to recognize ultra-high-frequency (UHF) signals of partial discharges (PDs). This approach establishes the sample information entropy for each sample and the re-sampling process of the traditional B...
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Shutian Deng, Gang Wang, Hongjun Wang and Fuliang Chang
Spain possesses a vast number of poems. Most have features that mean they present significantly different styles. A superficial reading of these poems may confuse readers due to their complexity. Therefore, it is of vital importance to classify the style...
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Guido Bologna
The explainability of connectionist models is nowadays an ongoing research issue. Before the advent of deep learning, propositional rules were generated from Multi Layer Perceptrons (MLPs) to explain how they classify data. This type of explanation techn...
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Aleksey I. Shinkevich, Tatyana V. Malysheva and Irina G. Ershova
The planning and management of traffic flow networks with multiple input data sources for decision-making generate the need for a mathematical approach. The program of measures for the development of the transport infrastructure of the Russian Federation...
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Yao Zou and Changchun Gao
Credit scoring is an effective tool for banks and lending companies to manage the potential credit risk of borrowers. Machine learning algorithms have made grand progress in automatic and accurate discrimination of good and bad borrowers. Notably, ensemb...
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Guido Bologna
In machine learning, ensembles of models based on Multi-Layer Perceptrons (MLPs) or decision trees are considered successful models. However, explaining their responses is a complex problem that requires the creation of new methods of interpretation. A n...
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Fotios Petropoulos and Evangelos Spiliotis
Forecasting is a challenging task that typically requires making assumptions about the observed data but also the future conditions. Inevitably, any forecasting process will result in some degree of inaccuracy. The forecasting performance will further de...
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