標(biāo)題: Titlebook: Computer Vision and Machine Intelligence Paradigms for SDGs; Select Proceedings o R. Jagadeesh Kannan,Sabu M. Thampi,Shyh-Hau Wang Conferen [打印本頁(yè)] 作者: BID 時(shí)間: 2025-3-21 19:04
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書目名稱Computer Vision and Machine Intelligence Paradigms for SDGs讀者反饋
書目名稱Computer Vision and Machine Intelligence Paradigms for SDGs讀者反饋學(xué)科排名
作者: crucial 時(shí)間: 2025-3-21 21:03
Convergence Perceptual Model for Computing Time Series Data on Fog Environment, 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作者: 作嘔 時(shí)間: 2025-3-22 03:56
Localized Super Resolution for Foreground Images Using U-Net and MR-CNN,al Network (CNN) architecture known as U-Net for super resolution combined with Mask Region-Based CNN (MR-CNN) for foreground super resolution is analyzed. This analysis is carried out based on localized super resolution, i.e., we pass the LR Images to a pre-trained image segmentation model (MR-CNN)作者: 施舍 時(shí)間: 2025-3-22 04:48
Pest Detection Using Improvised YOLO Architecture,nvolution 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作者: Alopecia-Areata 時(shí)間: 2025-3-22 12:26
Deep Learning Based Recognition of Plant Diseases,es. 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作者: 逢迎白雪 時(shí)間: 2025-3-22 16:44 作者: 逢迎白雪 時(shí)間: 2025-3-22 17:55
,Advanced Algorithmic Techniques for Topic Prediction and Recommendation—An Analysis,rending 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作者: 有權(quán)威 時(shí)間: 2025-3-23 01:08 作者: enlist 時(shí)間: 2025-3-23 03:43 作者: 砍伐 時(shí)間: 2025-3-23 09:33 作者: 翅膀拍動(dòng) 時(shí)間: 2025-3-23 10:44 作者: 震驚 時(shí)間: 2025-3-23 16:30
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 作者: 職業(yè)拳擊手 時(shí)間: 2025-3-23 21:46
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作者: PACT 時(shí)間: 2025-3-23 23:59
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作者: RODE 時(shí)間: 2025-3-24 04:21 作者: Liberate 時(shí)間: 2025-3-24 10:05
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作者: MEN 時(shí)間: 2025-3-24 14:03
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作者: Inflammation 時(shí)間: 2025-3-24 15:04 作者: 懶鬼才會(huì)衰弱 時(shí)間: 2025-3-24 21:03
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作者: 腫塊 時(shí)間: 2025-3-25 02:06 作者: sed-rate 時(shí)間: 2025-3-25 05:08 作者: 種植,培養(yǎng) 時(shí)間: 2025-3-25 10:24 作者: judiciousness 時(shí)間: 2025-3-25 13:39
Performance Monitoring and Optimizingview a voting framework which gives straightforwardness and security utilizing block chain innovation. The Blockchain framework will permit the citizens to cast their votes in spite of their area. Each year an expansive bunch of Indians closes up the country due to which they are unfit to sharpen th作者: Interferons 時(shí)間: 2025-3-25 19:51 作者: maudtin 時(shí)間: 2025-3-25 21:35
https://doi.org/10.1007/978-1-4302-0172-4ority pomegranates, mangoes, bananas, papayas, and orange account for the larger portion of fruits exported from our country. Effective discovery is achieved using hyperspectral imaging, CNN frame. Superior performance than treating, sorting, and grading grounded on redundant classes in the CNN frame through the proposed architecture.作者: Morphine 時(shí)間: 2025-3-26 02:24 作者: 陳列 時(shí)間: 2025-3-26 05:47 作者: APEX 時(shí)間: 2025-3-26 08:49 作者: Delirium 時(shí)間: 2025-3-26 14:09
Conference proceedings 2023telligence Paradigms for Sustainable Development Goals. This book covers novel and state-of-the-art methods in computer vision coupled with intelligent techniques including machine learning, deep learning, and soft computing techniques. The contents of this book will be useful to researchers from in作者: AVOW 時(shí)間: 2025-3-26 17:12 作者: Anguish 時(shí)間: 2025-3-26 23:05
https://doi.org/10.1007/978-1-4302-0172-4ted through MATLAB simulation, based on H.264 video coding technique. In this investigation of video transmission over LEACH based routing protocols, our proposed modified micro genetic algorithm consumes less energy when compared with other LEACH variants.作者: 旅行路線 時(shí)間: 2025-3-27 02:04 作者: antidote 時(shí)間: 2025-3-27 07:33 作者: MEN 時(shí)間: 2025-3-27 10:11 作者: 真 時(shí)間: 2025-3-27 14:23 作者: tympanometry 時(shí)間: 2025-3-27 19:16
https://doi.org/10.1007/978-1-4302-0172-4S. The proposed method identified optimized features using a particle swarm optimization algorithm and classified them using a decision tree algorithm C4.5. This combination of PSO-C4.5 produced better performance when compared with the conventional algorithms.作者: 紡織品 時(shí)間: 2025-3-27 22:55 作者: clarify 時(shí)間: 2025-3-28 05:23 作者: membrane 時(shí)間: 2025-3-28 09:06 作者: Oversee 時(shí)間: 2025-3-28 13:18 作者: verdict 時(shí)間: 2025-3-28 15:41
High Performance Classifier for Brain Tumor Detection Using Capsule Neural Network,propose a Caps Net (Capsule Neural Network) model to avoid the rise of mortality among the brain tumor people and to reduce the time required for accurate diagnosis. The proposed method involves MRI images for classifying the different types of tumors and outperforms CNN in accuracy.作者: 影響 時(shí)間: 2025-3-28 19:35
Mining Suitable Symptoms to Identify Disease Using Apriori and NBC,oms for a particular disease and applying in patient data to check whether they are affected or not using a classification algorithm leads to suitable treatment for the diseased patients. This paper proposes a model to systematically close those gaps using our methods.作者: peak-flow 時(shí)間: 2025-3-29 01:30
Conference proceedings 2023dustry and academia. This book includes contemporary innovations, trends, and concerns in 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.作者: 中世紀(jì) 時(shí)間: 2025-3-29 03:04
PTZ-Camera-Based Facial Expression Analysis using Faster R-CNN for Student Engagement Recognition,ses also have a potential threat to students’ engagement before and especially after the post-covid. Facial Expressions Analysis has become essential in the learning environment, whether it is online or offline. The offline classroom environment is considered a problem environment. Since, it can be 作者: Entreaty 時(shí)間: 2025-3-29 09:45
Convergence Perceptual Model for Computing Time Series Data on Fog Environment, of fog nodes in a fog computing set up shall best suit time sensitive applications especially on virtual clusters supporting edge devices in sensing, processing, controlling and action planning, there by replacing the non-virtualized complicated computing mechanisms resolving the existing complexit作者: 逃避現(xiàn)實(shí) 時(shí)間: 2025-3-29 13:58
Localized Super Resolution for Foreground Images Using U-Net and MR-CNN,age is not clear it might not be of much use. Thus, the topic of image super resolution arose and many researchers have been working toward applying computer vision and deep learning techniques to increase the quality of images. One of the applications of super resolution is to increase the quality 作者: 相容 時(shí)間: 2025-3-29 17:22 作者: figurine 時(shí)間: 2025-3-29 22:04
Automated Sorting, Grading of Fruits Based on Internal and External Quality Assessment Using HSI, Dport plays a significant role in GDP. After harvesting they‘re washed, sorted, graded, pressed, and put down. Out of every one of these stages grading and sorting of fruits are vital way. The main end is to plan an automated system that improves the standard, upgrades the creation productivity, decr作者: 交響樂(lè) 時(shí)間: 2025-3-30 01:22 作者: 混亂生活 時(shí)間: 2025-3-30 06:02
Classification of Fungi Effected Psidium Guajava Leaves Using ML and DL Techniques, most of the crops are lost to fungi. The aim is to work on the prime crop of our H&K (Hyderabad & Karnataka) region, which will help the farmers of this region as there is no work done on this crop. The dataset is possessed from a fruit-farm of H&K region of Karnataka, India. We have implemented bo作者: CODE 時(shí)間: 2025-3-30 11:22 作者: Postmenopause 時(shí)間: 2025-3-30 14:31 作者: 把手 時(shí)間: 2025-3-30 17:02 作者: Charade 時(shí)間: 2025-3-30 21:34
Hybridization of Texture Features for Identification of Bi-Lingual Scripts from Camera Images at Woith Roman scripts. Initially, the input gray-scale picture is changed over into an LBP image, then GLCM and HOG features are extracted from the LBP image named as LBGLCM and LBHOG. These two feature sets are combined to form a potential feature set and are submitted to KNN and SVM classifiers for id作者: Mosaic 時(shí)間: 2025-3-31 03:04 作者: 控制 時(shí)間: 2025-3-31 08:19 作者: 貪婪性 時(shí)間: 2025-3-31 12:33 作者: RENAL 時(shí)間: 2025-3-31 17:15 作者: 鉗子 時(shí)間: 2025-3-31 18:58 作者: endure 時(shí)間: 2025-4-1 01:20 作者: nerve-sparing 時(shí)間: 2025-4-1 01:50
