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Titlebook: Innovations in Electronics and Communication Engineering; Proceedings of the 7 H. S. Saini,R. K. Singh,K. Santhi Conference proceedings 201

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21#
發(fā)表于 2025-3-25 05:41:38 | 只看該作者
Performance Analysis of Nanoparticles in Healthcare and Biomedical Applications superior properties than the conventional materials, which make it possible for new medical applications. Extensive biomedical applications are explored by the nanoparticles domains which are principally either purely organic or inorganic materials. Inspired by the unique characteristics, novelty,
22#
發(fā)表于 2025-3-25 09:15:48 | 只看該作者
Comparative Analysis of Different Clustering Techniques for Video Segmentation be classified basically into two approaches: one approach for which there are preassigned thresholds and another clustering approach for which the number of clusters has been used, which is known. Here, we have studied and analyzed the cluster-based techniques such as mean-shift, .-means, and fuzzy
23#
發(fā)表于 2025-3-25 15:04:13 | 只看該作者
24#
發(fā)表于 2025-3-25 17:15:44 | 只看該作者
25#
發(fā)表于 2025-3-25 22:51:04 | 只看該作者
Role of X-Rays in Assessment of Bone Mineral Density—A Reviewonal X-ray images of the bone which is the majority used imaging modality to treat bone diseases, which disclose the potential for new medical applications. Inspired by the special characteristics, novelty and wide applications of X-ray, this work provides a comprehensive survey on the role of X-ray
26#
發(fā)表于 2025-3-26 03:12:11 | 只看該作者
Estimation of Face Pose Orientation Using Model-Based Approachlenging problem in real life applications. Face detection and recognition suffer from many problems which are caused by the variations in orientation, size, illumination, expression, and poses. This paper mainly revolves around face detection and oriented pose identification. The state-of-the-art Co
27#
發(fā)表于 2025-3-26 04:37:17 | 只看該作者
Accurate Classification of Cancer in Mammogram Imagesof breast cancer. In this work, a simple technique for breast cancer image classification in l mammogram images is proposed. Highly discriminant local binary patterns are extracted from the wavelet normalized mammogram images. K-nearest neighbor classifier is used to categorize the abnormal cancer c
28#
發(fā)表于 2025-3-26 09:01:53 | 只看該作者
29#
發(fā)表于 2025-3-26 13:26:03 | 只看該作者
30#
發(fā)表于 2025-3-26 20:51:36 | 只看該作者
Exhaustive Analysis of Image Enhancement Using Point-to-Point Transformationut also process it as per demanding application. Image transformation can be histogram equalization, discrete wavelet transform, morphology or point transformation. Point transformation just improves visual appearance of an image without fetching any new information. It is just required for detectio
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