派博傳思國(guó)際中心

標(biāo)題: Titlebook: Applications in Reliability and Statistical Computing; Hoang Pham Book 2023 The Editor(s) (if applicable) and The Author(s), under exclusi [打印本頁(yè)]

作者: FERN    時(shí)間: 2025-3-21 19:14
書(shū)目名稱Applications in Reliability and Statistical Computing影響因子(影響力)




書(shū)目名稱Applications in Reliability and Statistical Computing影響因子(影響力)學(xué)科排名




書(shū)目名稱Applications in Reliability and Statistical Computing網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱Applications in Reliability and Statistical Computing網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱Applications in Reliability and Statistical Computing被引頻次




書(shū)目名稱Applications in Reliability and Statistical Computing被引頻次學(xué)科排名




書(shū)目名稱Applications in Reliability and Statistical Computing年度引用




書(shū)目名稱Applications in Reliability and Statistical Computing年度引用學(xué)科排名




書(shū)目名稱Applications in Reliability and Statistical Computing讀者反饋




書(shū)目名稱Applications in Reliability and Statistical Computing讀者反饋學(xué)科排名





作者: 舊石器時(shí)代    時(shí)間: 2025-3-21 23:41
Feedback-Based Algorithm for Negotiating Human Preferences and Making Risk Assessment Decisions, in the use of equipment, which have to be periodically subject to thorough controls required by law. This research proposes a novel hybrid decision-making framework aimed at integrating flexible negotiation on human preferences. This goal will be achieved by establishing effective feedback exchange
作者: Ambulatory    時(shí)間: 2025-3-22 03:56

作者: FRAX-tool    時(shí)間: 2025-3-22 05:24

作者: 吞吞吐吐    時(shí)間: 2025-3-22 11:25
Assessing the Severity of COVID-19 in the United States,tes with respect to state-wise distribution. To our knowledge, such metrics have not been proposed by others. The proposed metrics and case study presented in the paper can serve as a template for public health officials to update the disease’s severity and spread across states. Consequently, effect
作者: 認(rèn)為    時(shí)間: 2025-3-22 16:27

作者: gene-therapy    時(shí)間: 2025-3-22 18:34

作者: WITH    時(shí)間: 2025-3-22 23:39

作者: jaundiced    時(shí)間: 2025-3-23 02:24

作者: Cerumen    時(shí)間: 2025-3-23 08:26
Decision Support System for Ranking of Software Reliability Growth Models,oftware systems. During the testing phase of the Software Development Life Cycle (SDLC), SRGMs are particularly effective for estimating fault content, minimizing testing expenses, and maximizing software reliability. There has been a lot of research into selecting the best SRGMs for a certain failu
作者: –FER    時(shí)間: 2025-3-23 12:04

作者: 正式通知    時(shí)間: 2025-3-23 17:50
Neural Network Modeling and What-If Scenarios: Applications for Market Development Forecasting,t of micro- and macroeconomic variables and other factors, we show how to supplement “black box” neural network calculations with a solid theoretical foundation from social sciences. Doing so allows to not only create exceptionally accurate forecasts, but understand the “black box” weights on differ
作者: mastopexy    時(shí)間: 2025-3-23 21:08
Mental Health Studies: A Review,review examines and categorizes research that has been conducted regarding social media and its impact on mental health into three main categories: (1) Data Collection, Self-Reporting Surveys, and Reviews; (2) Data Collection with Machine Learning Applications; and (3) Modeling of Mental Health Usin
作者: Generosity    時(shí)間: 2025-3-24 00:34

作者: panorama    時(shí)間: 2025-3-24 06:15
,On the Aspects of Vitamin D and COVID-19 Infections and Modeling Time-Delay Body’s Immune System wicells with the effects of the levels of vitamin D and probiotics supplement. It also can help to predict when the infected cells and virus particles free state can ever be reached as time progresses with and without considering the vitamin D and probiotic supplements.
作者: 完成才會(huì)征服    時(shí)間: 2025-3-24 07:43

作者: SAGE    時(shí)間: 2025-3-24 12:44

作者: Decline    時(shí)間: 2025-3-24 18:34
https://doi.org/10.1007/3-7985-1539-5n, sequential inspection and state dependent inspection. After that, some recent studies on Intervened Decision-making Systems, which are voting systems with inspections and other supervising mechanisms, are presented. Finally, some future research trends are discussed.
作者: Prostaglandins    時(shí)間: 2025-3-24 19:06
https://doi.org/10.1007/3-7985-1539-5are constructed using machine learning strategies. Projects on text recognition, electrocardiogram-based identification and data analysis are described in relation to input data quality and system performance.
作者: Absenteeism    時(shí)間: 2025-3-24 23:29

作者: Concerto    時(shí)間: 2025-3-25 05:34

作者: needle    時(shí)間: 2025-3-25 08:28

作者: 合適    時(shí)間: 2025-3-25 11:41
Data Quality Assessment for ML Decision-Making,are constructed using machine learning strategies. Projects on text recognition, electrocardiogram-based identification and data analysis are described in relation to input data quality and system performance.
作者: 倒轉(zhuǎn)    時(shí)間: 2025-3-25 18:12

作者: 惹人反感    時(shí)間: 2025-3-25 23:07
Mental Health Studies: A Review,) Data Collection, Self-Reporting Surveys, and Reviews; (2) Data Collection with Machine Learning Applications; and (3) Modeling of Mental Health Using Survey Data and Machine Learning. Summary tables of risk factors studied, machine learning techniques, and social media sites studied or where data was gathered from are included.
作者: 表示問(wèn)    時(shí)間: 2025-3-26 00:48
https://doi.org/10.1007/3-7985-1539-5 research and business. In this research, we apply joining aspect detection and opinion target expression using multi-deep learning methods: RNN, LSTM and CNN and we do experiments on Vietnamese VLSP2018 dataset. Both of the results for the aspect detection as well as opinion target expression achieve the best results on the CNN model.
作者: chuckle    時(shí)間: 2025-3-26 06:18

作者: Maximizer    時(shí)間: 2025-3-26 11:51
https://doi.org/10.1007/3-7985-1539-5ization of the expected wait time of the first CN is considered in this research. Taboo search method is adopted for the optimization of the evaluation function to assign each reservation to each staff and to minimize the waiting time of the first CN.
作者: Robust    時(shí)間: 2025-3-26 14:41
Joining Aspect Detection and Opinion Target Expression Based on Multi-Deep Learning Models, research and business. In this research, we apply joining aspect detection and opinion target expression using multi-deep learning methods: RNN, LSTM and CNN and we do experiments on Vietnamese VLSP2018 dataset. Both of the results for the aspect detection as well as opinion target expression achieve the best results on the CNN model.
作者: 代替    時(shí)間: 2025-3-26 17:51
Assessing the Severity of COVID-19 in the United States, with the case study’s approach can be easily updated to match new available data on the disease. The primary message of our work is to provide a unique perspective into investigating the current severity and spread of the pandemic in different states in the country and highlight states with a relatively high severity score.
作者: helper-T-cells    時(shí)間: 2025-3-26 23:09
A Staff Scheduling Problem of Customers with Reservations in Consideration with Expected Wait Time ization of the expected wait time of the first CN is considered in this research. Taboo search method is adopted for the optimization of the evaluation function to assign each reservation to each staff and to minimize the waiting time of the first CN.
作者: 炸壞    時(shí)間: 2025-3-27 01:32
https://doi.org/10.1007/3-7985-1539-5cells with the effects of the levels of vitamin D and probiotics supplement. It also can help to predict when the infected cells and virus particles free state can ever be reached as time progresses with and without considering the vitamin D and probiotic supplements.
作者: 模范    時(shí)間: 2025-3-27 06:05

作者: 并排上下    時(shí)間: 2025-3-27 09:41

作者: Presbyopia    時(shí)間: 2025-3-27 15:10
https://doi.org/10.1007/3-7985-1539-5onal travel restrictions, social distancing, reduced staff, and limited maintenance funding, the need for smarter ways of doing maintenance is obvious. In this regard smart technology has an important role to play. For instance, IoT data generates the capacity for predictive aircraft maintenance, AI
作者: Cerumen    時(shí)間: 2025-3-27 17:51
https://doi.org/10.1007/3-7985-1539-5s of preference with experts to weight the main risk factors of interest, the obtained priorities will be used as a part of the body of input data required for a further MCDM application. This application will use the ELimination Et Choix Traduisant la REalité (ELECTRE) I method as a structured way
作者: RECUR    時(shí)間: 2025-3-28 01:22

作者: Awning    時(shí)間: 2025-3-28 04:24
https://doi.org/10.1007/3-7985-1539-5r, and Pandas. To rank SRGMs employed in the DSS, we used Entropy & Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) ranking methodology. The implemented schema provides highly accurate performance indexes for the SRGMs required for efficient ranking, emphasizing the signif
作者: 音樂(lè)戲劇    時(shí)間: 2025-3-28 08:14
Smart Maintenance and Human Factor Modeling for Aircraft Safety,onal travel restrictions, social distancing, reduced staff, and limited maintenance funding, the need for smarter ways of doing maintenance is obvious. In this regard smart technology has an important role to play. For instance, IoT data generates the capacity for predictive aircraft maintenance, AI
作者: Temporal-Lobe    時(shí)間: 2025-3-28 12:58

作者: 破裂    時(shí)間: 2025-3-28 16:37
Promoting Expert Knowledge for Comprehensive Human Risk Management in Industrial Environments,thing that will be useful to make the approach even more reliable. Risks will be later prioritised by means of a modified Failure Modes, Effects and Criticality Analysis (FMECA): the total effect previously calculated will be considered as an additional criterion for risk prioritisation, apart from
作者: 小說(shuō)    時(shí)間: 2025-3-28 20:50
Decision Support System for Ranking of Software Reliability Growth Models,r, and Pandas. To rank SRGMs employed in the DSS, we used Entropy & Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) ranking methodology. The implemented schema provides highly accurate performance indexes for the SRGMs required for efficient ranking, emphasizing the signif
作者: 熟練    時(shí)間: 2025-3-29 02:21

作者: Agnosia    時(shí)間: 2025-3-29 04:23

作者: ALLAY    時(shí)間: 2025-3-29 07:58

作者: Occlusion    時(shí)間: 2025-3-29 12:32

作者: anthropologist    時(shí)間: 2025-3-29 16:26

作者: 退出可食用    時(shí)間: 2025-3-29 23:01
https://doi.org/10.1007/3-7985-1539-5 in the use of equipment, which have to be periodically subject to thorough controls required by law. This research proposes a novel hybrid decision-making framework aimed at integrating flexible negotiation on human preferences. This goal will be achieved by establishing effective feedback exchange
作者: 我還要背著他    時(shí)間: 2025-3-30 02:43

作者: Ingredient    時(shí)間: 2025-3-30 06:57

作者: nocturnal    時(shí)間: 2025-3-30 10:10

作者: 做方舟    時(shí)間: 2025-3-30 13:38
https://doi.org/10.1007/3-7985-1539-5ience in industry in a scientifically rigorous way. In particular, we make use of Fuzzy Cognitive Maps (FCMs) to organise in a flexible way human knowledge about decision-making problems focused on the topic of human risks management. FCMs enable the representation of causal relations among relevant
作者: 跳脫衣舞的人    時(shí)間: 2025-3-30 20:08
https://doi.org/10.1007/3-7985-1539-5iety need to analyze clean, complete, consistent, and high-quality data. This paper presents three case studies from different fields in which models are constructed using machine learning strategies. Projects on text recognition, electrocardiogram-based identification and data analysis are describe
作者: 清楚    時(shí)間: 2025-3-30 23:16
https://doi.org/10.1007/3-7985-1539-5ciency and COVID-19 death toll of several countries in Europe and Asia. The chapter also discusses a new modified time-delay immune system model with time-dependent of the body‘s immune healthy cells, vitamin D, and probiotic. The model can be used to assess the timely progression of healthy immune
作者: acclimate    時(shí)間: 2025-3-31 01:09

作者: 與野獸博斗者    時(shí)間: 2025-3-31 06:50

作者: 低能兒    時(shí)間: 2025-3-31 10:41

作者: menopause    時(shí)間: 2025-3-31 15:29





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