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Titlebook: Smart Trends in Computing and Communications; Proceedings of Smart Tomonobu Senjyu,Chakchai So-In,Amit Joshi Conference proceedings 2023 Th

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樓主: 啞劇表演
21#
發(fā)表于 2025-3-25 03:36:50 | 只看該作者
Wireless SDN: A Perspective for Handover Management, the three categories of networks: Wireless LAN, Wireless sensor, and cellular are considered in this article. After delving into the present SDN-based handover management efforts, the opportunities to further improve the operation and performance of handover management with the help of SDN are also
22#
發(fā)表于 2025-3-25 08:49:00 | 只看該作者
23#
發(fā)表于 2025-3-25 13:23:38 | 只看該作者
Secure QR Code Transactions Using Mobile Banking App,niques such as hashing, role-based authentication mechanism, prevention of SQL injection attacks, and tracking MAC address of a user. The possibilities of QR code hacks are presented and the solutions are proposed. The double spending problem is tracked.
24#
發(fā)表于 2025-3-25 16:24:45 | 只看該作者
A Clustering-Based Approach to Feature Selection for Breast-Cancer Classification,ramework to perform feature selection for classification purpose by using data clustering and optimization methods. At the first stage, the proposed approach employs a genetic algorithm to select the best subset of characteristics using clustering validation as an objective function instead of class
25#
發(fā)表于 2025-3-25 21:29:00 | 只看該作者
26#
發(fā)表于 2025-3-26 02:53:57 | 只看該作者
27#
發(fā)表于 2025-3-26 07:31:04 | 只看該作者
Integrating Hybrid Feature Extraction Techniques with Support Vector Machine for Efficient Facial Ef our paper. In this paper, we used technologies like LBP, GLCM, and Gabor filter to extract aspects of images. For training the model, we used the CK?+?dataset that contains 24,282 images in the training set. In this, Support Vector Machine (SVM) is applied for the classification of emotions using
28#
發(fā)表于 2025-3-26 08:59:52 | 只看該作者
,Classification of?ISL Using Pose and?Object Detection-Based Techniques,pproaches for the classification of Indian Sign Language: (a) the object detection-based approach utilizes a model built on Scaled-YOLOv4 architecture which performs a frame-by-frame inference and (b) the Pose-based approach utilizes an LSTM model which takes the skeletal pose landmarks from Mediapi
29#
發(fā)表于 2025-3-26 14:43:52 | 只看該作者
30#
發(fā)表于 2025-3-26 20:05:44 | 只看該作者
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