Inspired by the dynamic dendritic architecture of biological neurons, the approximate logic neuron model (ALNM) is a novel model recently proposed by us. ALNM owns four layers, namely, the synaptic layer, the dendriti...
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Obtaining automated preliminary read reports for common exams such as chest X-rays will expedite clinical workflows and improve operational efficiencies in hospitals. However, the quality of reports generated by curre...
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We present a graph-based semi-supervised learning algorithm to address the sentiment analysis task of rating inference. Given a set of documents (e.g., movie reviews) and accompanying ratings (e.g., "4 stars"...
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Recently, more attention has been paid to the task of traffic classification. This is due to the fact that, in the era of active development of digital systems, it is necessary to pay particular attention to the issue...
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Prognosis and progression of Parkinson's disease is a critical question among the clinicians since there is a disparity of parameters taken into the diagnostic consideration thereby making the decision process dif...
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Machine learning algorithms typically require abundant data under a stationary environment. However, environments are nonstationary in many real-world applications. Critical issues lie in how to effectively adapt mode...
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The proceedings contain 80 papers. The topics discussed include: applications of Internet of things for smart farming – a survey;speech and gesture recognition interactive robot;obstructive sleep apnea detection and ...
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The proceedings contain 80 papers. The topics discussed include: applications of Internet of things for smart farming – a survey;speech and gesture recognition interactive robot;obstructive sleep apnea detection and alerting system using piezoelectric sensor array embedded quilt;energetic improvement of smart healthcare system using Internet of things;evolving insight of adverse drug reaction associated with breast cancer drugs;smart access development for classifying lung disease with chest x-ray images using deep learning;patient health care intensive care system using wearable band sensor network;economic authentic and anonymous data sharing with forward security;mathematical model automotive part shape optimization using metaheuristic method-review;and wind power forecasting based on time series model using deep machine learning algorithms.
The paper discussed how to increase the effectiveness of semi-supervised clustering algorithm by integrating active learning and semi-supervised clustering to guide the model. To solve this complexity problem of the c...
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Attention is the process of reflecting intensely on several items when overlooking others. As a blooming aspect of machine learning, the field of natural language processing incorporated this cognitive process into on...
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Indonesia is an agricultural country, which has various types of plants. Starting from food plants, crops, and fruits. Some areas have different types of plants, according to the suitability of the soil and weather in...
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