標(biāo)題: Titlebook: Disruptive Technologies for Big Data and Cloud Applications; Proceedings of ICBDC J. Dinesh Peter,Steven Lawrence Fernandes,Amir H. Confer [打印本頁(yè)] 作者: 專家 時(shí)間: 2025-3-21 19:11
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書(shū)目名稱Disruptive Technologies for Big Data and Cloud Applications讀者反饋
書(shū)目名稱Disruptive Technologies for Big Data and Cloud Applications讀者反饋學(xué)科排名
作者: intrigue 時(shí)間: 2025-3-21 22:17 作者: enterprise 時(shí)間: 2025-3-22 03:53
1876-1100 d computing technologies and big data.Provides recent innova.This book provides a written record of the synergy that already exists among the research communities and represents a solid framework in the advancement of big data and cloud computing disciplines from which new interaction will result in作者: Overstate 時(shí)間: 2025-3-22 08:03 作者: Arbitrary 時(shí)間: 2025-3-22 08:55 作者: 模范 時(shí)間: 2025-3-22 12:59 作者: 模范 時(shí)間: 2025-3-22 20:53 作者: 美學(xué) 時(shí)間: 2025-3-22 23:21
A Statistical Performance Analysis of GPU WAH Range Querying,raphical processing units (GPUs) can process bitmap index queries more efficiently than CPUs in many instances. This paper presents a statistical performance analysis of a GPU bitmap query engine applied to range queries. The results of this analysis provide insights for future GPU query engine design.作者: Blood-Clot 時(shí)間: 2025-3-23 01:58 作者: 沒(méi)有準(zhǔn)備 時(shí)間: 2025-3-23 06:51
The Instrumental Method in Psychologyrning is that these models can create features without a?human intervention. The performance of five different models for forest fire classification is analyzed in this paper: VGG-16, ResNet-50-V2, MobileNet-V2, Inception-V2, and Xception. MobileNet-V2 performed the best among all the architectures with an accuracy of 96.84% on the dataset.作者: WATER 時(shí)間: 2025-3-23 13:35
Conference proceedings 2022es ideas for solving the problems of society through cutting-edge technologies. The articles featured in this book provide novel ideas that contribute to the growth of world-class research and development. The contents of this book are of interest to researchers and professionals alike..作者: averse 時(shí)間: 2025-3-23 14:11
Towards a Theory of Intentionalityntial privacy, one of the most well-founded privacy models, which can estimate the value distribution more accurately and can be used in situations where the privacy level varies according to the requirements of each worker. Simulations on real datasets prove that the proposed scheme can estimate more accurately than existing schemes.作者: POLYP 時(shí)間: 2025-3-23 20:05 作者: FLING 時(shí)間: 2025-3-24 01:07 作者: Deadpan 時(shí)間: 2025-3-24 05:38 作者: 有節(jié)制 時(shí)間: 2025-3-24 06:45
Robert W. Rieber,Aaron S. Cartonses the performances, strengths, and weaknesses. This paper also highlights the comparison of deep learning-based techniques along with image and language model with respect to the evaluation metrics like BLUE-1, BLUE-2 and METEOR on Flickr8k and MSCOCO datasets.作者: extinct 時(shí)間: 2025-3-24 11:45 作者: CARK 時(shí)間: 2025-3-24 16:21
,Anonymized Questionnaire Analysis with?Differential Privacy for?Large-Scale Crowdsourcing,ntial privacy, one of the most well-founded privacy models, which can estimate the value distribution more accurately and can be used in situations where the privacy level varies according to the requirements of each worker. Simulations on real datasets prove that the proposed scheme can estimate more accurately than existing schemes.作者: 推測(cè) 時(shí)間: 2025-3-24 20:49
AR Cloud-Based Indoor Navigation,ugmented reality (AR) is a cloud-based 3D indoor navigation system which has been developed for guiding the users to reach the destination without any delay. The images are captured and stored in the cloud for scalability and flexibility in rendering services.作者: Dysarthria 時(shí)間: 2025-3-25 02:51 作者: myocardium 時(shí)間: 2025-3-25 05:27
Intelligent Traffic Management System Using YOLO Machine Learning Model,ing depending on traffic density that leads to alleviate the traffic congestion problems. The experimental outcomes illustrate that our proposed model works outperform than the other real-time object detectors.作者: 寡頭政治 時(shí)間: 2025-3-25 09:46
A Comprehensive Review on Automatic Image Captioning Using Deep Learning,ses the performances, strengths, and weaknesses. This paper also highlights the comparison of deep learning-based techniques along with image and language model with respect to the evaluation metrics like BLUE-1, BLUE-2 and METEOR on Flickr8k and MSCOCO datasets.作者: 駭人 時(shí)間: 2025-3-25 13:33 作者: habile 時(shí)間: 2025-3-25 18:28 作者: ineffectual 時(shí)間: 2025-3-25 20:44 作者: Facilities 時(shí)間: 2025-3-26 00:57
J. O. Hirschfelder,E. P. Wignerarge (structured and unstructured) datasets. K-means is one of the most popular cluster analysis techniques which has been widely adopted to solve many critical problems due to its simplicity and time efficiency compared to other clustering techniques. Nonetheless, K-means suffers from several drawb作者: poliosis 時(shí)間: 2025-3-26 05:46
The Collected Works of Eugene Paul Wigneruting, Internet of medical things (IoMT), and artificial intelligence (AI) invented the Healthcare 4.0, which supports the monitoring and examination of a variety of medical information using the digital techniques. This research aims to develop a diagnostic framework for the pandemic-healthcare-dat作者: 狗舍 時(shí)間: 2025-3-26 08:55 作者: Harridan 時(shí)間: 2025-3-26 13:41 作者: 打擊 時(shí)間: 2025-3-26 18:16 作者: FER 時(shí)間: 2025-3-27 00:06
https://doi.org/10.1007/978-1-4615-5401-1n structure to analyze data and present hidden details beyond the data or information in an intuitive way. The progress of DBN, DL mechanisms with computational characteristics are covered here. The classification is converted into its corresponding assembly level language by using instruction set f作者: carotid-bruit 時(shí)間: 2025-3-27 04:48
Imagination and Creativity in the Adolescentic monitoring and control processes. Then by employing efficient algorithms the available data along with image and video captures can be filtered to detect possible anomalies. The main filtering is done based on object detection and identification-based classification methods. This system can be vi作者: endocardium 時(shí)間: 2025-3-27 07:00 作者: NEX 時(shí)間: 2025-3-27 11:43 作者: forthy 時(shí)間: 2025-3-27 14:35 作者: Felicitous 時(shí)間: 2025-3-27 18:46 作者: Charitable 時(shí)間: 2025-3-28 01:49 作者: 牽連 時(shí)間: 2025-3-28 05:57
Mind, Consciousness, the Unconsciouse is utilized in underwater sensor networks (UWSNs), however, presenting its own difficulties in terms of energy utilization. In this paper, we have proposed a safe geographic and opportunistic routing protocol with depth adjustment for mobile underwater sensor networks, augmented with profundity ad作者: 博愛(ài)家 時(shí)間: 2025-3-28 07:16 作者: corporate 時(shí)間: 2025-3-28 12:37 作者: 容易懂得 時(shí)間: 2025-3-28 17:45 作者: SLUMP 時(shí)間: 2025-3-28 19:38
Organization as Collective Rule-Makingd systolic and diastolic blood pressure (BP). The proposed system comprises of PPG sensor which consists of LED and photodiode set up to acquire pulse signals. The signal processing tools have been used to process the real-time signal and extract the desired features to measure patient vital paramet作者: Absenteeism 時(shí)間: 2025-3-28 22:56 作者: 無(wú)脊椎 時(shí)間: 2025-3-29 05:17
Lecture Notes in Electrical Engineeringhttp://image.papertrans.cn/e/image/281602.jpg作者: 碎石頭 時(shí)間: 2025-3-29 08:50 作者: minion 時(shí)間: 2025-3-29 15:02 作者: Inferior 時(shí)間: 2025-3-29 17:44
Disruptive Technologies for Big Data and Cloud Applications978-981-19-2177-3Series ISSN 1876-1100 Series E-ISSN 1876-1119 作者: 含水層 時(shí)間: 2025-3-29 22:45
A Statistical Performance Analysis of GPU WAH Range Querying,nderlying data. Bitmap indices are highly compressible and can be queried using fast hardware-enabled logical operations. Recent work has shown that graphical processing units (GPUs) can process bitmap index queries more efficiently than CPUs in many instances. This paper presents a statistical perf作者: garrulous 時(shí)間: 2025-3-30 01:46 作者: DEVIL 時(shí)間: 2025-3-30 05:34
An Optimized K-means Clustering Approach on Top of MapReduce,arge (structured and unstructured) datasets. K-means is one of the most popular cluster analysis techniques which has been widely adopted to solve many critical problems due to its simplicity and time efficiency compared to other clustering techniques. Nonetheless, K-means suffers from several drawb作者: 商議 時(shí)間: 2025-3-30 08:53
A Framework to Preserve and Examine Pandemic-Healthcare-Data Using IoMT,uting, Internet of medical things (IoMT), and artificial intelligence (AI) invented the Healthcare 4.0, which supports the monitoring and examination of a variety of medical information using the digital techniques. This research aims to develop a diagnostic framework for the pandemic-healthcare-dat作者: 反叛者 時(shí)間: 2025-3-30 13:30
AR Cloud-Based Indoor Navigation,s. The location information is stored in the database so that the users can access the data at any time. This indoor navigation system guides the users to reach the required destination by showing the accurate pathway. The instructions regarding the navigation like turning toward left, turning towar作者: stressors 時(shí)間: 2025-3-30 19:47 作者: 追蹤 時(shí)間: 2025-3-30 21:52
,Ensemble DNN for the Brain Tumor Segmentation—A Hybrid Framework Centric on Layer Level and Decisiothe application of deep learning techniques. Extreme research is being conceded out to analyze and detect the brain tumor type based on the texture and statistical features that are extracted from the multimodal medical images. In the recent years, brain tumor segmentation has gained its significanc作者: Intractable 時(shí)間: 2025-3-31 01:31 作者: 詼諧 時(shí)間: 2025-3-31 09:00 作者: synovitis 時(shí)間: 2025-3-31 12:57 作者: maudtin 時(shí)間: 2025-3-31 13:52 作者: transplantation 時(shí)間: 2025-3-31 18:14 作者: Bombast 時(shí)間: 2025-3-31 23:42
IoT-Based Security Camera Bot Using Raspberry Pi,roundings for ensuring security as well as to bring out conclusive evidences for further investigations. IoT-based security camera bot using Raspberry Pi aims to provide security and to bring out conclusive evidences for investigation as it can move around in a given environment monitoring the activ作者: 清醒 時(shí)間: 2025-4-1 03:50 作者: 沙草紙 時(shí)間: 2025-4-1 06:31
Secure GEDAR Routing Protocol for Underwater Data Collection Using WSN,e is utilized in underwater sensor networks (UWSNs), however, presenting its own difficulties in terms of energy utilization. In this paper, we have proposed a safe geographic and opportunistic routing protocol with depth adjustment for mobile underwater sensor networks, augmented with profundity ad作者: Allowance 時(shí)間: 2025-4-1 13:26
