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Titlebook: Emerging Technology in Modelling and Graphics; Proceedings of IEM G Jyotsna Kumar Mandal,Debika Bhattacharya Conference proceedings 2020 Sp

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樓主: Grievous
51#
發(fā)表于 2025-3-30 09:13:30 | 只看該作者
Breast Cancer Diagnosis Using Image Processing and Machine Learning, a huge number of patients are diagnosed with cancer very late. Conventional methods of detecting and diagnosing cancer mainly depend on skilled physicians, with the help of medical imaging, to detect certain symptoms that usually appear in the later stages of cancer. Therefore, we present here the
52#
發(fā)表于 2025-3-30 14:46:50 | 只看該作者
53#
發(fā)表于 2025-3-30 19:00:10 | 只看該作者
54#
發(fā)表于 2025-3-30 23:39:40 | 只看該作者
55#
發(fā)表于 2025-3-31 04:01:30 | 只看該作者
Modification of Existing Face Images Based on Textual Description Through Local Geometrical Transfoomponents and to generate a transformed image. There are many challenges in dealing with the modification of existing face images which are variations in facial expressions can be a cause for confusion, lack of large-scale supervised datasets, both speed and scalability of system are of prime import
56#
發(fā)表于 2025-3-31 05:08:38 | 只看該作者
A Neural Network Framework to Generate Caption from Images,elligence (AI) is to give automatic description of the content in an image. In this paper, we focus on one of the visual recognition facets of computer vision, i.e., image captioning. To give the description for visual data has been studied for a long time but in the field of videos. In the recent f
57#
發(fā)表于 2025-3-31 10:19:19 | 只看該作者
Remote Sensing and Advanced Encryption Standard Using 256-Bit Key, terms of pliability, reliability, cost-effectiveness, speed and efficiency. However, the growth is prone to data breaches and attacks. The commonly employed method for data security is encryption and decryption. This paper proposes the secure transmission of remote sensed data by using AES (Rijndae
58#
發(fā)表于 2025-3-31 15:47:08 | 只看該作者
Grasp-Pose Prediction for Hand-Held Objects,ineering, etc. However, the entirety of the existing literature focuses on the usage of simple two-fingered robotic hands to grasp handheld objects. Our paper promotes the use of five-fingered humanoid hands for better grasping and proposes a novel hand grasp-pose prediction model that learns featur
59#
發(fā)表于 2025-3-31 18:14:37 | 只看該作者
978-981-13-7402-9Springer Nature Singapore Pte Ltd. 2020
60#
發(fā)表于 2025-3-31 22:26:27 | 只看該作者
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