ICDLT

The OCR system has been widely used in many fields, such as office automation, file management, online education, etc. However, due to its high requirements on computing resources, the system is mostly runing on desktop or server platforms. In recent ...

The recognition of weather condition from still images is quite challenging due to weather diversity and lack of distinct characteristics that exists in many weather conditions. Some researchers have used the K-nearest neighbor method to recognise a ...

With the increasing popularity of the Internet, social media plays a crucial role in people's daily communication. However, due to the anonymity of Internet, toxic comments emerge in an endless stream on the Internet, which seriously affects the health ...

Oracle bone inscriptions (OBIs) are the earliest Chinese writing system. However, deciphering OBIs is a very challenging task because of the lack of data and time- and resource-consuming manual classification process. In this paper, I apply the ...

Classification of e-commerce products involves identifying the products and placing those products into the correct category. For example, men’s Nike Air Max will be in the men’s category shoes on an e-Commerce platform. Identifying the correct ...

In skeleton-based action recognition, graph convolutional networks (GCN) based methods have achieved remarkable performance by building skeleton coordinates into spatial-temporal graphs and explored the relationship between body joints. ST-GCN [19] ...

Brain disorders such as autism spectrum disorder (ASD) is still difficult to diagnose. In the recent years, different novel deep learning algorithms have been applied to detect ASD. Most studies use the functional connectivity (FC) pattern to represent ...

In low-voltage residential electricity scenarios, simple identification algorithms are difficult to be effective because of the many types of appliances and similar power characteristics. We propose a household load identification method based on multi-...

In this paper, we describe a way of using translation memory (TM) to improve the translation quality and stability of neural machine translation (NMT) systems, especially when the sentences to be translated have high similarity with sentences stored in ...

Ocean mesoscale eddy detection is an important hotspot of Marine scientific research. Over the last few years, with the development of machine learning research, eddy detection methods based on machine learning have been applied in various fields. ...

In the early stage of fire, smoke alarm detection is an important means to prevent fire.  And with the continuous construction of monitoring facilities, it is of great significance for the study of smoke video monitoring.  In order to meet the detection ...

Defect detection of ultrasonic scanning images of plastic packaging components is mainly rely on manpower and not suitable for traditional feature extraction methods, to solve this problem, this paper put forward an optimized FCOS deep learning network ...

Categorizing of clothes from wild fashion images involves identifying the type of clothes a person wears from non-studio images such as a shirt, trousers, and so on. Identifying the fashion clothes from wild images that are often grainy, unfocused, ...

In this paper, a video moving object tracking method based on SVM and Meanshift tracking algorithm is proposed. The location of the tracking object is selected in the initial image of the sports video, the feature vectors of the object and background ...

The tracking analysis of ocean feature phenomena exists many problems, such as incomplete topological structure information extraction and unclear time-varying law information display, etc. In this paper, a topology-oriented 3D ocean flow field feature ...

Nowadays, omics datasets have been widely used to study cancer and other related problems, but there are many cancer subtypes in some types of cancer, and some types have not been studied, so we must use unsupervised methods for cluster analysis. ...

After Covid-19 swept the globe and bitcoin prices suddenly soared, machine learnings were used to predict the trend of bitcoin prices, but these studies were lack of performance analysis in different time-scale span. In this paper, three neural network ...

The investigation on the water-entry impact load of the trans-medium aircraft (TMA) during the media-cross procedure was presented in this paper. The generalized regression neural network (GRNN) is adopted to described the characteristics of the water-...

With the rapid development of the Internet, voice recognition has become one of the core technologies on information era. Bird monitoring through sound recognition can be used as an effective indicator of wetland environmental quality. In this paper, we ...

The increasing Distributed Denial of Service (DDoS) attacks on the Internet of Things (IoT) is leading to the need for an efficient detection approach. Although much research has been conducted to detect DDoS attacks on traditional networks, such as ...

Sleep is one of the most critical functions of the human body, yet many disorders disrupt this physiological process. These conditions can be diagnosed by observing the pattern and length of sleep stages that a patient enters; however, this process ...

In this paper, we propose a method for evaluating SHAP values by time series change. SHAP values are based on the Shapley theory and have been widely used to interpret the machine-learning based regression results. The SHAP approach plays an important ...

Social media has become a significant news source as the modern world develops. Compared with traditional news media such as newspapers and television, people can consume and share news much faster on social media platforms such as Twitter, Facebook, ...

With the development of large-scale power systems, wind power has become the mainstream. Wind power is clean energy, but its uncertainty will bring risks to the economic dispatch of the power system. This paper adopts an adjustable robust optimization ...