標(biāo)題: Titlebook: Big Data Analytics; 9th International Co Satish Narayana Srirama,Jerry Chun-Wei Lin,P. Kris Conference proceedings 2021 Springer Nature Swi [打印本頁] 作者: 出租車 時(shí)間: 2025-3-21 18:42
書目名稱Big Data Analytics影響因子(影響力)
書目名稱Big Data Analytics影響因子(影響力)學(xué)科排名
書目名稱Big Data Analytics網(wǎng)絡(luò)公開度
書目名稱Big Data Analytics網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Big Data Analytics被引頻次
書目名稱Big Data Analytics被引頻次學(xué)科排名
書目名稱Big Data Analytics年度引用
書目名稱Big Data Analytics年度引用學(xué)科排名
書目名稱Big Data Analytics讀者反饋
書目名稱Big Data Analytics讀者反饋學(xué)科排名
作者: Merited 時(shí)間: 2025-3-21 20:56
,Kritische Würdigung und Implikationen,osing tumors by the radiologists. The correct identification of tumor regions and its type can aid to diagnose tumors with the followup treatment plans. However, for any radiologist analysing such scans is a complex and time-consuming task. Motivated by the deep learning based computer-aided-diagnos作者: choroid 時(shí)間: 2025-3-22 04:13
Methodik der empirischen Untersuchung,n in developing countries more severely than in developed country such that over 60% of deaths due to breast cancer occur in developing countries. Deaths due to breast cancer can be reduced significantly if it is diagnosed at an early stage. However, in developing countries cancer is often diagnosed作者: antedate 時(shí)間: 2025-3-22 06:10
Bobak Ossareh,Aaron J. Wilke,James H. Paxtonion errors, surgical errors, under-treatments, over-treatments, unnecessary lab tests, etc. – are all caused by inferential gaps. Late diagnosis of cancer is also due to the inferential gaps at the primary care. Even the medical climate crisis caused by misuse, underuse, or overuse of antibiotics ar作者: 受人支配 時(shí)間: 2025-3-22 10:25 作者: AVID 時(shí)間: 2025-3-22 14:19
Cornelia P. Channing,Sheldon J. Segaldetection, segmentation, classification and labelling on panoramic dental radiographs. A dataset of dental panoramic radiographs was annotated according to the FDI tooth numbering system. Mask R-CNN Inception ResNet V2 object detection algorithm was able to give excellent results in terms of tooth s作者: implore 時(shí)間: 2025-3-22 19:56 作者: 整頓 時(shí)間: 2025-3-22 23:56 作者: Confidential 時(shí)間: 2025-3-23 03:32 作者: 積極詞匯 時(shí)間: 2025-3-23 07:17 作者: Indict 時(shí)間: 2025-3-23 11:22 作者: nullify 時(shí)間: 2025-3-23 16:45
Intrapartum Sonography and Labor Progressionworld over the internet. A cyber-physical object is an inanimate object with the ability to connect itself to the internet and communicate with other similar objects. This communication is enabled by communication protocols that bridge the gap between hardware devices and the user by ensuring secure作者: 感染 時(shí)間: 2025-3-23 20:20
Ultrasonography of Female Urinary Systemd in IoT like MQTT, AMQP, XMPP, HTTP etc., but every protocol used here will not have the same features required for the Internet of Things. This paper helps you to find which is the best and efficient protocol through the use cases and the Big Data analysis used in IoT. To choose the best protocol,作者: Bph773 時(shí)間: 2025-3-24 01:57 作者: 廢止 時(shí)間: 2025-3-24 05:55 作者: agitate 時(shí)間: 2025-3-24 06:32
C. William Helm MA, MB BChir, FRCSThis article presents our recent work on the topic of learning from data streams. We focus on emerging topics, including fraud detection, learning from rare cases, and hyper-parameter tuning for streaming data.作者: 內(nèi)疚 時(shí)間: 2025-3-24 12:36 作者: 摸索 時(shí)間: 2025-3-24 17:02 作者: membrane 時(shí)間: 2025-3-24 20:04
https://doi.org/10.1007/978-3-030-93620-4artificial intelligence; communication systems; computer hardware; computer networks; computer science; c作者: Narrative 時(shí)間: 2025-3-25 00:07
978-3-030-93619-8Springer Nature Switzerland AG 2021作者: 坦白 時(shí)間: 2025-3-25 06:18
Conference proceedings 2021rom 41 submissions. The contributions were organized in topical sections named as follows: medical and health applications; machine/deep learning; IoTs, sensors, and networks; fundamentation; pattern mining and data analytics.作者: HERTZ 時(shí)間: 2025-3-25 11:24 作者: enfeeble 時(shí)間: 2025-3-25 14:46 作者: Vital-Signs 時(shí)間: 2025-3-25 18:31
,Kritische Würdigung und Implikationen,oma, glioma, and pituitary tumor. With exhaustive experimental trials the model achieved promising results as compared to existing state-of-the-art models, while having least number of training parameters among other state-of-the-art models.作者: ENDOW 時(shí)間: 2025-3-25 21:13 作者: conception 時(shí)間: 2025-3-26 03:35 作者: 奴才 時(shí)間: 2025-3-26 05:23 作者: etiquette 時(shí)間: 2025-3-26 10:16 作者: LAST 時(shí)間: 2025-3-26 15:55 作者: 功多汁水 時(shí)間: 2025-3-26 20:34 作者: macabre 時(shí)間: 2025-3-26 21:55
Bobak Ossareh,Aaron J. Wilke,James H. Paxtonms of both training and practice. In 2020 the COVID-19 pandemic disrupted the entire healthcare system further with change in focus from NCD back to quick onset infectious disease. During COVID-19 pandemic misinformation in social media increased. In addition, COVID-19 made virtual healthcare a pref作者: Extort 時(shí)間: 2025-3-27 03:40
Jacob C. Lenning,James H. Paxtonlation) model of antibiotic stewardship. The resistance related integrated knowledge of resistomics is stored as a . in a Neo4j properties graph database for 24 × 7 access. This actionable knowledge is made available through smartphones and the Web as a Progressive Web Applications (PWA). The 2AI&7D作者: 羞辱 時(shí)間: 2025-3-27 09:12 作者: nonchalance 時(shí)間: 2025-3-27 13:32
https://doi.org/10.1007/978-3-642-29939-1posed architecture trains machine learning model on rapidly changing data using online learning. The network is inlined with privacy preserving federated learning training. Further, the learning capability of architecture is tested on a real world IIoT use case. We trained a neural network model for作者: Heretical 時(shí)間: 2025-3-27 14:13 作者: custody 時(shí)間: 2025-3-27 19:03
https://doi.org/10.1007/978-3-030-57595-3 most important current challenges for mining IT data streams. Our goal is to highlight the key challenges faced by data scientists and data engineers within complex industry settings for building or deploying models for real word streaming applications. We provide future research directions on Stre作者: 發(fā)起 時(shí)間: 2025-3-27 23:16 作者: AGGER 時(shí)間: 2025-3-28 04:29 作者: Toxoid-Vaccines 時(shí)間: 2025-3-28 09:36 作者: 技術(shù) 時(shí)間: 2025-3-28 14:24 作者: RALES 時(shí)間: 2025-3-28 14:35 作者: 紡織品 時(shí)間: 2025-3-28 21:09
Smartphone Mammography for Breast Cancer Screeningny signs or symptoms begin to appear. This is a novel approach as there is presently no device that can be used by women themselves without any supervision from a medical professional and uses a smartphone without any additional external devices for breast cancer screening. The smartphone mammograph作者: ingestion 時(shí)間: 2025-3-29 01:02
Bridging the Inferential Gaps in Healthcarems of both training and practice. In 2020 the COVID-19 pandemic disrupted the entire healthcare system further with change in focus from NCD back to quick onset infectious disease. During COVID-19 pandemic misinformation in social media increased. In addition, COVID-19 made virtual healthcare a pref作者: Palate 時(shí)間: 2025-3-29 06:51 作者: inundate 時(shí)間: 2025-3-29 07:40 作者: 織物 時(shí)間: 2025-3-29 15:06 作者: Urgency 時(shí)間: 2025-3-29 16:47
Modular ST-MRF Environment for Moving Target Detection and Tracking Under Adverse Local Conditionsocal conditioning. Here, local conditioning (using ST-MRF) represents a task to alleviate fog, low-light condition, dehazing etc. Once performing local conditioning, the proposed model executes Edge-prior Estimation, followed by K-Means clustering for edge-preserving initial ROI labelling. Subsequen作者: 上腭 時(shí)間: 2025-3-29 21:24
Challenges of Machine Learning for Data Streams in the Banking Industry most important current challenges for mining IT data streams. Our goal is to highlight the key challenges faced by data scientists and data engineers within complex industry settings for building or deploying models for real word streaming applications. We provide future research directions on Stre作者: cornucopia 時(shí)間: 2025-3-30 02:57 作者: 野蠻 時(shí)間: 2025-3-30 05:08 作者: Crepitus 時(shí)間: 2025-3-30 11:39
MQTT Protocol Use Cases in the Internet of Thingsare measured and the security systems are either explained. Mainly for the use cases like home automation and vehicular network, there are a huge number of resources like sensors are used, these sensors collect massive data, so for storing these massive data big data is used. This paper majorly focu作者: 聰明 時(shí)間: 2025-3-30 14:51 作者: carotid-bruit 時(shí)間: 2025-3-30 16:45
Diagnostic Code Group Prediction by?Integrating Structured and?Unstructured Clinical Datantegrating features from structured (lab test reports) as well as unstructured (clinical text) data. We analyze the proposed model’s performance on MIMIC-III, an open dataset of clinical data using standard multi-label metrics. Empirical evaluations underscored the significant performance of our app作者: 離開可分裂 時(shí)間: 2025-3-30 23:16
MAG-Net: Multi-task Attention Guided Network for?Brain Tumor Segmentation and?Classificationosing tumors by the radiologists. The correct identification of tumor regions and its type can aid to diagnose tumors with the followup treatment plans. However, for any radiologist analysing such scans is a complex and time-consuming task. Motivated by the deep learning based computer-aided-diagnos作者: 不可侵犯 時(shí)間: 2025-3-31 04:47
Smartphone Mammography for Breast Cancer Screeningn in developing countries more severely than in developed country such that over 60% of deaths due to breast cancer occur in developing countries. Deaths due to breast cancer can be reduced significantly if it is diagnosed at an early stage. However, in developing countries cancer is often diagnosed
