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Advances in Computing Infrastructure
Published in Siyong Kim, John Wong, Advanced and Emerging Technologies in Radiation Oncology Physics, 2018
Yulong Yan, Alicia Yingling, Steve Jiang
Currently, Windows 10, 8, and 7 are the most widely used versions of Microsoft Windows. The use of older versions is progressively declining. The latest versions of Windows have high functionality for wireless connectivity and projecting display information. They also provide the most up-to-date support for using the latest hardware to its fullest capabilities.
WEL-ODKC: weighted extreme learning optimal diagonal-kernels convolution model for accurate classification of skin lesions
Published in The Imaging Science Journal, 2023
V. Auxilia Osvin Nancy, P. Prabhavathy, Meenakshi S. Arya
In this work, we develop a WEL-ODKC approach for earlier skin cancer prediction and classification. A variety of existing techniques namely SVM-BWO, CNN, DGC-NB, and GWO-CNN has been chosen for assessing the proposed method’s performance. Accuracy, sensitivity, F1 score, specificity, and recall are the evaluation measures taken for performance evaluation. For the proposed method validation, seven output classes such as actinic keratoses, basal cell carcinoma (bcc), dermatofibroma (df), melanoma (mel), vascular lesions, benign keratosis, and melanocytic nevi (nv) are selected from the MNIST dataset. The model was deployed using the MatLab programming language version 9.6 running on a Microsoft windows 11 operating system powered by an Intel Core i7-12700T processor. The parameter setting of both the existing and the proposed model is presented in Table 3.
Designing the price controller for the dynamic pricing of self-storage
Published in International Journal of Production Research, 2019
Lijian Chen, Shanling Li, Derek Wang
In this section, we present the numerical results of the price controller method. We use the fmincon solver of Matlab 2015a to obtain the optimal solution. The computer hardware is an HP Workstation with Intel i7-4770k CPU and 16G DDR3 memory. The operating system is Microsoft Windows 10. Consider a matured self-storage store of 1,000 units. The price-demand relationship is a piecewise linear and concave function in Figure 3 with the noise of new customer move-ins ε removed. The bottom-line price is $100 to attract 200 new customers. When the price is $150, there are only two new move-ins. The starting price is . The noise ε is a sequence of iid random variables, which follows a normal distribution of the mean value at 0 and the standard deviation at 2, i.e., .
A new distribution-free model for disassembly line balancing problem with stochastic task processing times
Published in International Journal of Production Research, 2018
Feifeng Zheng, Junkai He, Feng Chu, Ming Liu
In this section, we examine the proposed distribution-free model by numerical experiments. Commercial solver CPLEX 12.6 is called in Matlab 2014b to solve the model. All computational experiments have been conducted on a personal computer with Core I7 with 4 GB RAM under Microsoft Windows 7 operating system. With respect to Bentaha, Battaïa, and Dolgui (2015a), we first conduct a case study of the previously mentioned hand light example, and then make a further analysis on a number of different instances in literature. For all numerical experiments forward, the results under the corresponding deterministic scenarios are also presented for comparison.