標(biāo)題: Titlebook: Data Science and Applications; Proceedings of ICDSA Satyasai Jagannath Nanda,Rajendra Prasad Yadav,Muk Conference proceedings 2024 The Edit [打印本頁(yè)] 作者: 小故障 時(shí)間: 2025-3-21 16:25
書(shū)目名稱Data Science and Applications影響因子(影響力)
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書(shū)目名稱Data Science and Applications網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱Data Science and Applications網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱Data Science and Applications被引頻次
書(shū)目名稱Data Science and Applications被引頻次學(xué)科排名
書(shū)目名稱Data Science and Applications年度引用
書(shū)目名稱Data Science and Applications年度引用學(xué)科排名
書(shū)目名稱Data Science and Applications讀者反饋
書(shū)目名稱Data Science and Applications讀者反饋學(xué)科排名
作者: Esalate 時(shí)間: 2025-3-21 22:44
Descriptive Analysis of Compliance Behaviors abundance for a specific region, and then various machine learning techniques are used to extract the useful data related to each parameter separately. We call this amalgam of processed data as CCPD dataset. CCPD dataset contains over 6000 data points for all seven parameters and covers the data fr作者: 泄露 時(shí)間: 2025-3-22 02:56 作者: 領(lǐng)先 時(shí)間: 2025-3-22 04:36
Thomas Schwartz,Nikolaus Seitz Dipl.-Kfm. offers some important information for the Indian service sector that will appropriate actions in understanding the tenor of technology stress in creating a comfortable work, which may raise the intention of turnover and lower performance and job satisfaction.作者: 收藏品 時(shí)間: 2025-3-22 12:28 作者: helper-T-cells 時(shí)間: 2025-3-22 12:58 作者: helper-T-cells 時(shí)間: 2025-3-22 17:54 作者: 勛章 時(shí)間: 2025-3-22 21:20
Satyasai Jagannath Nanda,Rajendra Prasad Yadav,MukPresents the latest innovations and developments in data science and applications.Provides original works presented at ICDSA 2023 held in Jaipur, India.Serves as a reference for researchers and practi作者: PRE 時(shí)間: 2025-3-23 04:27
Lecture Notes in Networks and Systemshttp://image.papertrans.cn/d/image/263078.jpg作者: 兇殘 時(shí)間: 2025-3-23 07:44
Data Science and Applications978-981-99-7862-5Series ISSN 2367-3370 Series E-ISSN 2367-3389 作者: 侵蝕 時(shí)間: 2025-3-23 10:16 作者: Mobile 時(shí)間: 2025-3-23 16:58
Peter Fissenewert,Mathias Wendton of brain tumors into three main categories: benign, malignant, and pituitary. A comprehensive analysis of the major research papers in this field is presented, covering the different deep learning architectures and techniques used, and their performance in detecting and classifying brain tumors w作者: 輕彈 時(shí)間: 2025-3-23 19:12
Bank- und Kapitalmarkt-Compliancemanufacturing stages. It has the potential to manipulate circuit performance or acquire underlying information. Due to machine learning’s (ML) exceptional results across a range of learning domains, the academic and business community are now looking at how Hardware Trojan (HT) attacks can be streng作者: Foolproof 時(shí)間: 2025-3-23 22:35 作者: frenzy 時(shí)間: 2025-3-24 06:17 作者: Gleason-score 時(shí)間: 2025-3-24 08:09
Thomas Schwartz,Nikolaus Seitz Dipl.-Kfm.ine learning methods for identifying malware frequently encounter privacy dilemmas and scalability challenges. In this study, we introduce a method based on federated learning to detect IoT malware. This method promotes cooperative learning across dispersed IoT devices, ensuring data confidentiality作者: 發(fā)怨言 時(shí)間: 2025-3-24 12:43
https://doi.org/10.1007/978-3-658-01270-0o the lack of authentication and the trust-based nature of the protocol. As a result, BGP attacks are becoming increasingly common, causing significant damage to network availability and security. In this paper, we propose a deep learning-based approach to improve BGP security. Our approach uses a n作者: comely 時(shí)間: 2025-3-24 17:47
https://doi.org/10.1007/978-981-99-7862-5Models and Algorithms; Data Science Applications; Data Science Challenges; Machine Learning; Data Mining作者: 哄騙 時(shí)間: 2025-3-24 20:37
978-981-99-7861-8The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor作者: defendant 時(shí)間: 2025-3-25 00:05 作者: indigenous 時(shí)間: 2025-3-25 06:57 作者: Instinctive 時(shí)間: 2025-3-25 11:26
,Machine Learning–Based Hardware Trojans Detection in Integrated Circuits: A Systematic Review,manufacturing stages. It has the potential to manipulate circuit performance or acquire underlying information. Due to machine learning’s (ML) exceptional results across a range of learning domains, the academic and business community are now looking at how Hardware Trojan (HT) attacks can be streng作者: mortuary 時(shí)間: 2025-3-25 15:34
Impact of Technostress on Employee Retention and Employee Turnover,Indian IT Industry in order to support coherence with Locke‘s range of affect theory.240 workers who work in Delhi NCR’s service sector provided the data. The study tested the proposed model using AMOS, SPSS, and PROCESS MACRO. The findings offered strong backing for the suggested relationships betw作者: 地殼 時(shí)間: 2025-3-25 15:53 作者: 震驚 時(shí)間: 2025-3-25 21:39 作者: 傳授知識(shí) 時(shí)間: 2025-3-26 02:53 作者: 羞辱 時(shí)間: 2025-3-26 06:09 作者: 小畫(huà)像 時(shí)間: 2025-3-26 10:10
Peter Fissenewert,Mathias Wendts review provides a comparative study of different methods that can be used and their performance in detecting and classifying brain tumors into the above-mentioned tumor types. Accuracy results obtained from CNN traditional approaches were in the range of 85.62–96.65% and that of experimental approaches from 91.44–96.36%.作者: 責(zé)任 時(shí)間: 2025-3-26 13:09 作者: V洗浴 時(shí)間: 2025-3-26 19:02 作者: OATH 時(shí)間: 2025-3-27 00:37 作者: Ancestor 時(shí)間: 2025-3-27 02:29
Detecting IoT Malware Using Federated Learning,learning method we suggest surpasses conventional centralized techniques in both accuracy and privacy maintenance. This newly proposed technique holds promise in bolstering IoT security and reducing vulnerabilities linked to IoT malware.作者: Arrhythmia 時(shí)間: 2025-3-27 06:17 作者: Aspiration 時(shí)間: 2025-3-27 12:44 作者: Airtight 時(shí)間: 2025-3-27 17:14
Single Image Dehazing Using DCP with Varying Scattering Constant,er a method by which we can alleviate the issue of over-contrasting to a certain amount by altering the scattering constant values, increasing the color restoration. Quantitative analyses demonstrate the parity of our approach with other algorithms.作者: enormous 時(shí)間: 2025-3-27 20:49 作者: GUMP 時(shí)間: 2025-3-28 01:14 作者: 相信 時(shí)間: 2025-3-28 05:00
pus, 2. codes, which are classificatory attributes of the mentioned text segments, 3. links, which are the result of the content analytic coding and describe the attribute relations between the mentioned codes and quotations. Minestrone Soup Non-Eggs Ticinese Leek soup White wine Vegetables Romandie Figure 1:978-3-531-16328-4978-3-531-91184-7作者: 要控制 時(shí)間: 2025-3-28 09:09 作者: Thymus 時(shí)間: 2025-3-28 11:28 作者: 盟軍 時(shí)間: 2025-3-28 17:42 作者: Preamble 時(shí)間: 2025-3-28 20:08
