Machine learning is the process in which the computer system can automatically learn from the data. It's an application of Artificial Intelligence without being explicitly programmed. Making use of Machine learnin...
详细信息
Machine learning is the process in which the computer system can automatically learn from the data. It's an application of Artificial Intelligence without being explicitly programmed. Making use of Machine learnin...
详细信息
Machine learning is the process in which the computer system can automatically learn from the data. It's an application of Artificial Intelligence without being explicitly programmed. Making use of Machine learning and AI an efficient algorithm for prediction of Cardio Vascular Disease (CVD) can be done. By combing Deep learning method to the ML model, a high-level abstract feature with improved performance can be obtained. Heart disease or Cardio Vascular disease is the predominant disease all over the world. Accurate prediction of heart disease is a challenging task. The accuracy of prediction can be improved by applying Machine learning algorithms. Results with high accuracy can be produced by combining a Machine learning model with Statistical concepts. The main objective of this research is to predict high accurate CVD by applying Deep learning model combined with Machine learning algorithm. By recognizing the symptoms of the disease, people can get prompt treatment on time.
Image processing is an important domain for identifying various crop varieties. Due to the large amount of rice and its varieties, manually detecting its qualities is a very tedious and time-consuming task. In this wo...
Image processing is an important domain for identifying various crop varieties. Due to the large amount of rice and its varieties, manually detecting its qualities is a very tedious and time-consuming task. In this work, we propose a two-stage deep learning framework for detecting and classifying multiclass rice grain varieties. A series of steps is included in the proposed framework. The first step is to perform preprocessing on the selected dataset. The second step involves selecting and fine-tuning pretrained deep models from Darknet19 and SqueezeNet. Transfer learning is used to train the fine-tuned models on the selected dataset. The 50% sample images are employed for the training and rest 50% are used for the testing. Features are extracted and fused using a maximum correlation-based approach. This approach improved the classification performance; however, redundant information has also been included. An improved butterfly optimization algorithm (BOA) is proposed, in the next step, for the selection of the best features that are finally classified using several machine learning classifiers. The experimental process was conducted on selected rice datasets that include five types of rice varieties and achieves a maximum accuracy of 100% that was improved than the recent method. The average accuracy of the proposed method is obtained at 99.2%, through confidence interval-based analysis that shows the significance of this work.
The hypercube is a widely-used interconnection architecture in parallel machine. In this paper, we propose a fault-tolerant algorithm that embeds the Fibonacci cube to the faulty hypercube. The algorithm proposed here...
详细信息
The hypercube is a widely-used interconnection architecture in parallel machine. In this paper, we propose a fault-tolerant algorithm that embeds the Fibonacci cube to the faulty hypercube. The algorithm proposed here uses the bit ordering method for embedding the Fibonacci cube to the faulty hypercube efficiently. Here the Fibonacci cube of order n, Γn, which can be embedded to the m-dimensional hypercube Hm, in the condition of m ≥ n - 1. These results show the congestion 2, load 1, dilation 2, and unbounded expansion 2m/fn. At the same time, we demonstrate that the algorithm can tolerate O(m2-n2 faults.
In this paper, we employ the concept of difficulty level to design an on-line evaluation system. The system provides an automatic function to assign the next questions according to the previous records of the correct ...
详细信息
ISBN:
(纸本)8955191294
In this paper, we employ the concept of difficulty level to design an on-line evaluation system. The system provides an automatic function to assign the next questions according to the previous records of the correct numbers. To prevent blindly guess, we adopt the adjustment guesses method to obtain the authentic scores. The purpose of the study is to provide an easy to use and fast evaluation system. The system can help testers to understand their study situations fastr and easilier.
In this paper, we employ the concept of difficulty level to design an on-line evaluation system. The system provides an automatic function to assign the next questions according to the previous records of the correct ...
详细信息
In this paper, we employ the concept of difficulty level to design an on-line evaluation system. The system provides an automatic function to assign the next questions according to the previous records of the correct numbers. To prevent blindly guess, we adopt the adjustment guesses method to obtain the authentic scores. The purpose of the study is to provide an easy to use and fast evaluation system. The system can help testers to understand their study situations faster and easier
The processes of software engineering and the industries themselves tend to be fluctuant. There are numerous factors, such as software methodologies, technologies, supporting tools, and process managements, which may ...
详细信息
The processes of software engineering and the industries themselves tend to be fluctuant. There are numerous factors, such as software methodologies, technologies, supporting tools, and process managements, which may significantly affect the strategies and activities of a software development process. We improve the PIE approach and propose an XML-based meta-model for process and agent-based integrated software development environment (PRAISE). PRAISE includes both the external representation in UML and its internal representation in XML, and can be used to support the integration of software development in a global aspect.
暂无评论