CIIS

Although - Soil moisture is the main factor in agricultural production and hydrological cycles, and its prediction is essential for rational use and management of water resources. However, soil moisture involves complicated structural characters and ...

Various machine learning architectures including neural networks have been designed, developed and used to classify data. These networks have been used for Computer Vision, Speech Recognition and Natural Language Processing, to mention but a few and ...

AdaptiveSGA is a mechanism for achieving Adaptive Game AI-based Dynamic Difficulty Balancing in games. AdaptiveSGA is based on the Symbiotic Game Agent model and, therefore, leverages the advantages of biological symbiosis. Within the AdaptiveSGA ...

Fake news is progressively becoming a threat to individuals, society, news systems, governments and democracy. The need to fight it is rising accompanied by various researches that showed promising results. Deep learning methods and word embeddings ...

With a case study of humanoid resolving mathematics application problems in primary school, this paper discusses the basic theoretical method of creative thinking. This paper holds that the memory and analogy “teaching and learning” mode is the main way ...

Network embedding aims to learn low-dimensional vectors for vertices in complex networks. In real-world systems, nodes in networks are commonly associated with diverse attributes. However, classic approaches generally ignored the implicit relations and ...

Along with the rapid development in the field of artificial intelligence (AI), especially deep learning, deep neural network (DNN) applications are becoming more and more popular in reality. To be able to withstand the heavy load from mainstream users, ...

Existing portfolio management methods have made great progress in diversifying non-systematic risks, but they have ignored systemic risks. In response to this issue, we proposed a dynamic, market-neutral, risk-diversified portfolio management model by ...

Human-machine conversation is one of the most important topics in artificial intelligence (AI) and has received much attention across academia and industry in recent years. Currently dialogue system is still in its infancy, which usually converses ...

In order to monitor all telemetry data, thresholds are adopted to judge the status of satellite. This method is terrible when some abnormal happened, if the data was not more than pre-set threshold. when the data exceeding the threshold after a period ...

Crime is one of the most complex social problems around the world, posing a major threat to human life and property. Predicting crime incidents in advance can be a great help in fighting against crime and has drawn continuous attention from both ...

The prevalence of ankle injuries in daily life has prompted the widespread application of rehabilitation robots. One of the important factors affecting robot-assisted ankle rehabilitation is the training trajectory which is usually regenerated from ...

The use of cheating software in video games to gain an unfair advantage has required the use of anti-cheat software and deterrents such as account bans. Anti-cheat software is, however, always a step behind the opposition and as such new and innovative ...

In recent years, the number of visually impaired people in Japan has exceeded 300,000 including those with low vision, and accidental falls on the station platform involving them have not been eliminated. Persons having acquired visual impairment make ...

Traditional target trajectory prediction model is generally trained on the previous trajectories purely while the context information of the trajectory is simply ignored. We assume that the trajectory pattern generally associates with a certain set of ...

Image steganalysis is a very important technology for forensics. Recent studies show that the idea of steganalysis based on Convolutional Neural Network (CNN) is feasible. In this paper, we propose a novel digital image steganalysis model based on CNN. ...

Location estimation of Autonomous mobile robots is an essential and challenging task, especially for indoor applications. Despite the many solutions and algorithms that have been suggested in the literature to provide a precise localisation technique ...

Functional electrical stimulation (FES) is an effective treatment for the rehabilitation of stroke patients with hemiplegia. At present, it is challenging to accurately control the functional electrical stimulation during rehabilitation as various ...

Visual pedestrian attributes are very important for person re-identification. Due to the difficulties in obtaining identifiable face and body shots in surveillance scenarios, clothing appearance attributes become the main cue for identification. In this ...

In the article, we analyze the optimality of an oil production manufacturing via intelligent control digital twines. By examining the process industry, we present the primary keys of oil production lines, productivity, and quality. To spotlight on the ...