this paper discusses how machinelearning methods can improve the complexity management of customer attrition networks. User turnover is insufficient in hybrid cellular networks because losses causing delays and failu...
详细信息
License plate is the "ID card" of a vehicle, which contains the information of the owner and the vehicle. As the identification mark of the vehicle, license plate recognition is a key part of the whole intel...
License plate is the "ID card" of a vehicle, which contains the information of the owner and the vehicle. As the identification mark of the vehicle, license plate recognition is a key part of the whole intelligent transportation system. This paper uses the method based on deep learning to detect and recognize the license plate. Due to the multi-scale detection ability of SSD target detection network, this paper selects SSD target detection algorithm in the process of license plate detection, and improves the non maximum suppression algorithm. In the license plate non segmentation character recognition, the convolution neural network is used to extract the license plate features. According to the size of the license plate text, the window of the last two pooling layers in the network is improved to better retain the license plate text information, enhance the license plate character recognition ability, and improve the robustness of license plate recognition.
An Apple is also kind of fruit that can be cultivated through Hydroponic farming. The apple fruit that are been cultivated through soil has a less sweet taste when compared to hydroponic farming. The production of app...
详细信息
The aging of the population and the high incidence of hemiplegia have led to an increasing demand for easy-to-use rehabilitation training. The feedback sensing system which can measure and analyze the lower limb rehab...
The aging of the population and the high incidence of hemiplegia have led to an increasing demand for easy-to-use rehabilitation training. The feedback sensing system which can measure and analyze the lower limb rehabilitation motions is highly significant for improving the rehabilitation outcome. computer vision-based human motion angle measurement has attracted significant interest. This study aims to measure and analyze the lower limb motion angle in the sagittal plane with a single RGB camera. This paper proposes a method for extracting and monitoring of the lower limb marker points based on YOLOv3 and DarkNet-53 convolutional neural networks, and optimizes the pixel coordinates of the target point based on Kalman. The measurement accuracy of the proposed method is tested by JACO robotic arm, and the test shows that the standard deviation (SD) of the measurement is less than 0.5deg.
The neural style transfer (NST) is an important task in the computer vision area. It aims to combine the content in an image with other images and generate an image with a specific style. This technique has been appli...
The neural style transfer (NST) is an important task in the computer vision area. It aims to combine the content in an image with other images and generate an image with a specific style. This technique has been applied to many downstream image-related tasks andapplications. Recently, the NST has made great progress with Convolution Neural Network (CNN), Generative Adversarial Network (GAN), and their variants. Thus, it is necessary to make a review of current work in NST. In this review, we firstly introduce the definition of NST and different types of NST algorithms. Then, we demonstrate some commonly used datasets and some indicators to evaluate the performance of different NST models. Finally, we analyze related work of NST and summarize some potential challenges and remained problems of state-of-the-art (SOTA) researches. This review will not only provide a good reference for researchers but also provide guidelines for some novices.
The employee attendance is an important indicator to judge employees' work attitude and measure their workload, which directly impact the development of the corporation. Meanwhile, the absenteeism, referring to th...
详细信息
Missing data is a growing concern in social science research. This paper introduces novel machine-learning methods to explore imputation efficiency and its effect on missing data. The authors used the Internet and pub...
Missing data is a growing concern in social science research. This paper introduces novel machine-learning methods to explore imputation efficiency and its effect on missing data. The authors used the Internet and public service data as the test examples. The empirical results show that the method not only verified the robustness of the positive impact of Internet penetration on the public service, but also further ensured that the machine-learning imputation method greatly improved the model’s explanatory power. The panel data after machine-learning imputation with better continuity in the time trend is feasibly analyzed, which can also be analyzed using the dynamic panel model. The long-term effects of the Internet on public services were found to be significantly stronger than the short-term effects. In short, in the era of big data, machine-learning methods can effectively improve the efficiency of data utilization and imputation accuracy, and further ensure the feasibility of the model in the actual study and the robustness of the regression results.
In this paper, we have described an automated algorithm for accurate segmentation of kidney, kidney tumors, and kidney cysts from CT scans. The Dataset for this problem was made available online as part of KiTS21 Chal...
详细信息
ISBN:
(数字)9783030983857
ISBN:
(纸本)9783030983857;9783030983840
In this paper, we have described an automated algorithm for accurate segmentation of kidney, kidney tumors, and kidney cysts from CT scans. The Dataset for this problem was made available online as part of KiTS21 Challenge. Our approach was placed 13th in the official leaderboard of the competition. Our model uses a 2 stage Residual Unet architecture. The first network is designed to predict (Kidney + Tumor + Cyst) regions. The second network predicts segmented tumor and cyst regions from the output of the first network. The paper contains implementation details along with results on the official test and internal set.
Rehabilitation medicine belongs to the category of emerging medical subjects. Among them, rehabilitation medicine training teaching is mainly closely linked to the theoretical knowledge and practice of rehabilitation ...
详细信息
Nowadays, cars are equipped with quite a few Advanced Driver Assistant Systems(ADAS) to increase comfortability and safety while driving. Adaptive Cruise Control (ACC) is one of these ADAS systems that keeps a certain...
详细信息
ISBN:
(数字)9783031196508
ISBN:
(纸本)9783031196492;9783031196508
Nowadays, cars are equipped with quite a few Advanced Driver Assistant Systems(ADAS) to increase comfortability and safety while driving. Adaptive Cruise Control (ACC) is one of these ADAS systems that keeps a certain distance to a heading vehicle in front by smoothly adapting the vehicle's speed. Usually, this is implemented using a separate PID controller for the velocity and distance or a MIMO system. This paper proposes a novel Fuzzy Logic approach for an autonomous model car called Autominy. The AutoMiny platform was developed at Dahlem Center for machinelearning and Robotics at Freie Universitat Berlin. It is equipped with a software stack for fully autonomous driving with custom modules for localization, control, and navigation. AutoMiny navigates using a pre-build vector force field approach. The proposed Fuzzy Logic controller can handle two states with different profiles. We extend the evaluating between our approach against a standard PID controller approach.
暂无评论