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• A mask generation network was designed for small-scale fish limbs.
• An automatic ...

The welfare of fish is gaining importance in aquaculture. The starvation-stress behavior of fish is important for quantifying their welfare. Therefore, to detect the stress behavior of individual fish under starvation stress, this ...

With the growing development of the era of big data, data acquisition and analysis have become hot spots, and Python-based crawler technology is one of the most widely used tools in data analysis work at present. In this paper, we apply Python crawler key ...

To explore the pathogenic mechanisms of MicroRNA (miRNA) on diverse diseases, many researchers have concentrated on discovering the potential associations between miRNA and disease using machine learning methods. However, the ...

General framework of the ensemble learning framework

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• A novel ensemble learning framework is proposed to solve PU learning problems in predicting miRNA-disease associations.

At present, most research on the fairness of recommender systems is conducted either from the perspective of customers or from the perspective of product (or service) providers. However, such a practice ignores the fact that when fairness is guaranteed ...

Precision medicine means giving patients the right treatment at the right dose at the right time with minimum ill consequences and maximum efficacy. It is medicine personalized to the individual’s genes, environment, and lifestyle and, ultimately, ...

To address the drawback of single machine learning prediction model which cannot capture the complex hidden factors of crude oil price, ensemble learning method has been widely verified as an excellent solution for crude oil price forecasting. In ...

An excessive number of customers often leads to a degradation in service quality. However, the capacity constraints of services are ignored by recommender systems, which may lead to unsatisfactory recommendation. This problem can be solved by ...

Online social networks are crowded with massive information, which is more likely to spread rapidly on a large scale. Therefore, understanding and predicting information diffusion on social networks will be much helpful to improve the performance ...

It is possible and necessary to adjust the flight ticket prices for each airlines dynamically in order to increase online travel agencies’ revenues. Unfortunately, the demands and the availability of flight tickets change following very complex ...

Personalized recommendation products at Twitter target a multitude of heterogeneous items: Tweets, Events, Topics, Hashtags, and users. Each of these targets varies in their cardinality (which affects the scale of the problem) and their "shelf life'' (...

Constructing a cam curve is the fundamental of designing cam mechanism. There have been many methods of constructing various cam curves in mathematical filed and mechanical engineering field. However they cannot guarantee dynamic ...

The ability to explore and predict metastable structures of hybrid self-assemblies is of central importance for the next generation of advanced materials with novel properties. As compared to their thermodynamically stable forms, the kinetically ...

A new and improved method based on the number of iterations is proposed to reduce the dynamical degradation of the digital chaotic map in this study. We construct a control function by introducing iteration time instead of external systems, thereby ...

Deep Learning has achieved good results in many tasks, especially computer vision tasks such as image classification, object detection and semantic segmentation. And these tasks are usually part of a practical application such as automatic driving and ...

With the advancement of sensor electronic devices, wireless sensor networks have attracted more and more attention. Range query has become a significant part of sensor networks due to its availability and convenience. However, It is challenging to process ...

A MIP model is developed for COSTDVRPTW in the delivery of perishable products.Customers time windows and floating time windows are considered simultaneously.A hybrid ant colony algorithm comprising local search operators is proposed.The impact of ...

Crowdsourcing proves a viable approach to solve certain large-scale problems by posting tasks distributively to humans and harnessing their knowledge to get results effectively and efficiently. Unfortunately, crowdsourcing suffers from lack of available ...

As the attention given to big data grows, cluster computing systems for distributed processing of large data sets become the mainstream and critical requirement in high performance distributed system research. One of the most successful systems is ...

Nearly all of today's Big Data systems are passive in nature. We demonstrate our Big Active Data ("BAD") system, a scalable system that continuously and reliably captures Big Data and facilitates the timely and automatic delivery of new information to a ...