翅膀拍动
发表于 2025-3-23 10:44:18
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震惊
发表于 2025-3-23 16:30:57
1876-1100 computer vision with recommended solutions to real-world problems adhering to sustainable development from researchers across industry and academia. This book serves as a valuable reference resource for academics and researchers across the globe.978-981-19-7171-6978-981-19-7169-3Series ISSN 1876-1100 Series E-ISSN 1876-1119
职业拳击手
发表于 2025-3-23 21:46:50
Administration, Operations, and Management,le faces in the classroom with maximum speed and accuracy. Consequently, by adopting the Ensemble of Robust Constrained Local Models (ERCLM) method, landmark points are localized in detected faces even in occlusion, and therefore, feature matching is performed. Besides, the matched landmark points a
PACT
发表于 2025-3-23 23:59:19
https://doi.org/10.1007/978-1-4302-0172-4 the edge devices and cloud storage. Computational by means of fog-node attracts the need by replacing existing cloudlets time complexity in resource management. Hence fog as things operates as a controller in cyber physical systems like controlling transmission lines of high volt system connections
RODE
发表于 2025-3-24 04:21:44
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Liberate
发表于 2025-3-24 10:05:20
https://doi.org/10.1007/978-1-4302-0172-4nvolution Neural Network) and YOLO (You Only Look Once) are used to classify the features extracted by deep feature extraction. Improvised YOLO is used which has proven pest prediction of about 95%. The performance of current research is compared, and common datasets are introduced. This paper exami
MEN
发表于 2025-3-24 14:03:27
https://doi.org/10.1007/978-1-4302-0172-4es. To get a better performance model, the data augmentation process is used, and we got 18,392 images. In our model, we used a convolutional neural network (CNN) to classify the citrus and tomato leaf diseases. The diseases are Mancha Graxa, Citrus Canker, Tomato Early Blight, Tomato Septoria Leafs
Inflammation
发表于 2025-3-24 15:04:14
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懒鬼才会衰弱
发表于 2025-3-24 21:03:30
https://doi.org/10.1007/978-1-4302-0172-4rending is a significant way to help users who want to grow their following by communicating their message to others. In this paper, a recommendation based on pre-trending subjects based on individual user interests, as well as prediction algorithms for identifying tweets that will shortly trend has
肿块
发表于 2025-3-25 02:06:13
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