Reports demonstrates that whole-brain Single Photon Emission Computed Tomography (SPECT) imaging, combined with advanced ...

Abstract: A novel method of relevance feedback is presented based on support vector machine learning in the content-based image retrieval system. A SVM classifier can be learned from training data of ...

Abstract: We present an algorithm for the application of support vector machine (SVM) learning to image compression. The algorithm combines SVMs with the discrete cosine transform (DCT). Unlike a ...

Artificial intelligence (AI) marks a new wave of the information technology revolution and permeates various sectors as an indispensable tool. Despite its widespread adoption, its application in ...

1 Department of Business Information System, Central Michigan University, Mount Pleasant, MI, USA. 2 Department of MPH, Central Michigan University, Mount Pleasant, MI, USA. 3 Department of ...

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aInstitute of Precision Medicine, Peking University Shenzhen Hospital, Shenzhen 518036, China bInstitute of Systems Biomedicine, Department of Pathology, School of Basic Medical Sciences, ...

The full paper may be read at arXiv.org. For instance, use the CNN-SVM model. $ cd malware-classification $ python3 main.py --model 1 --dataset ./dataset/malimg.npz --num_epochs 100 ...

Polystyrene binding peptides (PSBPs) play a key role in the immobilization process. The correct identification of PSBPs is the first step of all related works. In this paper, we proposed a novel ...