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標(biāo)題: Titlebook: Complex, Intelligent and Software Intensive Systems; Proceedings of the 1 Leonard Barolli Conference proceedings 2024 The Editor(s) (if app [打印本頁]

作者: Abeyance    時(shí)間: 2025-3-21 17:16
書目名稱Complex, Intelligent and Software Intensive Systems影響因子(影響力)




書目名稱Complex, Intelligent and Software Intensive Systems影響因子(影響力)學(xué)科排名




書目名稱Complex, Intelligent and Software Intensive Systems網(wǎng)絡(luò)公開度




書目名稱Complex, Intelligent and Software Intensive Systems網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Complex, Intelligent and Software Intensive Systems被引頻次




書目名稱Complex, Intelligent and Software Intensive Systems被引頻次學(xué)科排名




書目名稱Complex, Intelligent and Software Intensive Systems年度引用




書目名稱Complex, Intelligent and Software Intensive Systems年度引用學(xué)科排名




書目名稱Complex, Intelligent and Software Intensive Systems讀者反饋




書目名稱Complex, Intelligent and Software Intensive Systems讀者反饋學(xué)科排名





作者: 遠(yuǎn)足    時(shí)間: 2025-3-21 21:19
,Assessment of?WMN-CS Intelligent Simulation System for?Uniform, Weibull and?Chi-Square Distribution performance of WMN-CS. In case of Uniform distribution of mesh clients, the convergence speed is faster than the Weibull and Chi-square distributions, but the converged value of NCMC is the lowest among these three distributions. In the case of Weibull distribution, the convergence speed is slower
作者: cruise    時(shí)間: 2025-3-22 02:29

作者: 落葉劑    時(shí)間: 2025-3-22 04:40
Complex, Intelligent and Software Intensive SystemsProceedings of the 1
作者: 地殼    時(shí)間: 2025-3-22 10:13

作者: BINGE    時(shí)間: 2025-3-22 13:45

作者: BINGE    時(shí)間: 2025-3-22 19:09

作者: 休閑    時(shí)間: 2025-3-22 23:04

作者: BROOK    時(shí)間: 2025-3-23 02:06

作者: Optimum    時(shí)間: 2025-3-23 07:47
,Child Abuse Behaviors Identification from?Surveillance Videos,amined in this study were pinching, kicking, slapping, and choking. Experimental results on the dataset of 12666 images related to these four behaviors and extracted from videos showed that the model built by YOLOv8 is better than the other. It obtained the IoU measure of 80.9% and the F1-score measure of 97%.
作者: Heart-Rate    時(shí)間: 2025-3-23 12:23
,Energy-Efficient Concurrency Control with?Role and?Purpose Concepts,ant relation but?also reduce the electric energy consumption of servers. Evaluation results show the more significant transactions are performed prior to the?less significant transactions on each object and the electric energy consumption of servers can be reduced in the EESPO scheduler.
作者: Hyperopia    時(shí)間: 2025-3-23 17:40
Conference proceedings 2024re and more domains are involved with software intensive? ?systems, e.g. automotive, telecommunication systems, embedded systems in general, industrial automation systems and business applications. Moreover, the outcome of web services delivers a new platform for? ?enabling software intensive system
作者: Fabric    時(shí)間: 2025-3-23 22:01
2367-4512 ce on Complex, Intelligent, and Software Intensive Systems.W.?Software Intensive Systems are systems, which heavily interact with other systems, sensors, actuators, devices, other software systems and users. More and more domains are involved with software intensive? ?systems, e.g. automotive, telec
作者: 種子    時(shí)間: 2025-3-23 23:26
https://doi.org/10.1007/978-1-4684-7941-6ous distracted driving. In this paper, we propose a new system that considers two additional distracted driving behaviors.?The proposed system has increased the identification pattern of?hand detection by considering the new smoking behavior. The evaluation results confirm that the proposed system improves detection accuracy.
作者: 向下    時(shí)間: 2025-3-24 04:18
Jerry R. Barker,David T. Tingeyd, showing that our proposed . model can achieve significant improvements over the considered baseline models in terms of prediction accuracy, while also capturing the impact of major events, news, investors, and traders’ opinions that can influence the stock market movements.
作者: orient    時(shí)間: 2025-3-24 07:41
https://doi.org/10.1007/978-4-431-56438-6 features describing each patient’s pelvic status and spine. The results of these algorithms were then compared, with Logistic Regression considered the algorithm that yielded the best performance, achieving an accuracy of up to 87%. In contrast, other algorithms ranged from 85% and above.
作者: SSRIS    時(shí)間: 2025-3-24 14:35
https://doi.org/10.1007/978-1-4613-3344-9nsidered four parameters: Coverage (CV), User Priority (UP), Spectral Efficiency (SE) and RL, which?is a new input parameter for calculating RAT Decision Value (RDV).?From the simulation results, we found that when CV, UP, and SE?are increasing, the RDV parameter is increased, but when RL?is increasing, the RDV parameter is decreased.
作者: effrontery    時(shí)間: 2025-3-24 16:55
H. M. ApSimon,A. Davison,A. J. H. Goddardability and accuracy of trained models. DP-ACO offers a path for collaborative training on sensitive data sources?in industries such as healthcare, finance, and other fields where?data privacy is essential.
作者: 牌帶來    時(shí)間: 2025-3-24 20:37

作者: 過份好問    時(shí)間: 2025-3-25 00:35

作者: Ischemic-Stroke    時(shí)間: 2025-3-25 06:34

作者: Freeze    時(shí)間: 2025-3-25 09:42
,A Fuzzy-Based System for?Selection of?Radio Access Technology in?5G Wireless Networks Considering Rnsidered four parameters: Coverage (CV), User Priority (UP), Spectral Efficiency (SE) and RL, which?is a new input parameter for calculating RAT Decision Value (RDV).?From the simulation results, we found that when CV, UP, and SE?are increasing, the RDV parameter is increased, but when RL?is increasing, the RDV parameter is decreased.
作者: SEMI    時(shí)間: 2025-3-25 11:56

作者: ingenue    時(shí)間: 2025-3-25 16:31

作者: 價(jià)值在貶值    時(shí)間: 2025-3-25 21:28
,Performance Evaluation of?a?Distracted Driving Detection System Considering Smoking Behavior,ous distracted driving. In this paper, we propose a new system that considers two additional distracted driving behaviors.?The proposed system has increased the identification pattern of?hand detection by considering the new smoking behavior. The evaluation results confirm that the proposed system improves detection accuracy.
作者: Crepitus    時(shí)間: 2025-3-26 02:31

作者: 去掉    時(shí)間: 2025-3-26 08:16

作者: Diatribe    時(shí)間: 2025-3-26 09:01

作者: 異常    時(shí)間: 2025-3-26 13:10
Air Pollution Effects on Biodiversityhine learning and deep learning models. This study provides a more accurate stock price prediction model by combining sentiment analysis with quantitative data, offering valuable insights for investors and researchers in the Chinese financial market.
作者: Dorsal    時(shí)間: 2025-3-26 19:21

作者: CRAB    時(shí)間: 2025-3-26 21:00

作者: transplantation    時(shí)間: 2025-3-27 05:12
Tetsushi Yonekura,Takeshi Izuta accuracy. Our results underscore the potential of the proposed model as?a valuable tool for cervical screening, which offers enhanced results and efficiency in identifying people at increased risk of cervical malignancies.
作者: Facilities    時(shí)間: 2025-3-27 09:05

作者: 吹牛大王    時(shí)間: 2025-3-27 10:47
Christian Blondin,Gérard Therryestimating the overhead associated with job switching and determining its timing. To assess the usefulness of our system, we evaluated the overhead caused?by job switching. The evaluation results showed a 12.8% reduction?in overhead when switching when considering of the job’s running status, compared to switching without consideration.
作者: 捏造    時(shí)間: 2025-3-27 16:15
,Investigation of Location Problem in Logistics Centers Using?ADMM Algorithm,, is employed to solve the model, yielding an optimal solution and corresponding supply and demand scheme. The reliability of the model is confirmed by simulation data, and the results of the case study demonstrate that the model holds significant reference value for the siting of logistics center construction.
作者: 付出    時(shí)間: 2025-3-27 21:00

作者: 向外供接觸    時(shí)間: 2025-3-27 23:02
Interpreting Large-Scale Attacks Against Open-Source Medical Systems Using eXplainable AI,GB-based detector and a SHAP-based explainer, to enhance the security of IoMT devices. The study is significant because it comprehensively addresses the assessment of large-scale attacks against medical devices with interpretation and explanation. Its outcomes improve healthcare delivery, reduce treatment errors, and improve patient trust.
作者: 譏諷    時(shí)間: 2025-3-28 02:25

作者: 熱心    時(shí)間: 2025-3-28 10:18

作者: impale    時(shí)間: 2025-3-28 14:28
,Feature Selection Based on?Ranking Metagenomic Relative Abundance for?Inflammatory Bowel Disease Pr performed an intersection on the Top 10, 20, 30, 40, and 50 features to determine which ones appear in all datasets. Our experiments on six inflammatory bowel disease-related datasets have yielded better results than previous studies.
作者: 有抱負(fù)者    時(shí)間: 2025-3-28 16:51
,A Method for?Job Management Using MPI Profiling Interface,estimating the overhead associated with job switching and determining its timing. To assess the usefulness of our system, we evaluated the overhead caused?by job switching. The evaluation results showed a 12.8% reduction?in overhead when switching when considering of the job’s running status, compared to switching without consideration.
作者: Allodynia    時(shí)間: 2025-3-28 22:37
,A Systematic Review of?the?External Influence Factors in?Multifactor Analysis and?the?Prediction of-stationary and non-linear characteristics. This is compounded by the lack of a data-driven analysis of external factors that impact the future price of carbon. This article addresses this gap by conducting a comprehensive systematic literature review to identify the significant factors that contrib
作者: Jacket    時(shí)間: 2025-3-29 02:30
Stock Market Prediction Using Social Media Sentiments,ating sentiment analysis in stock market prediction, which uses Twitter data as the source of sentiment information. The proposed model is validated by applying it to predicting the stock movement of the National Stock Exchange of India (denoted NIFTY 50). Our proposed approach consists of capturing
作者: 榨取    時(shí)間: 2025-3-29 07:06
,Investigation of Location Problem in Logistics Centers Using?ADMM Algorithm,ement. A suitable logistics center location model is vital for the efficient functioning of the entire supply chain. In this study, we establish a decision model for logistics center location based on the operational process of the logistics center, with the sum of the construction cost, storage cos
作者: 遍及    時(shí)間: 2025-3-29 07:13
Stock Price Prediction Based on FinBERT-LSTM Model,nese language-specific, finance-oriented pre-trained model, is utilized to extract sentiment from financial texts. This sentiment data is combined with historical stock price data and input into an LSTM network to predict future stock prices. The model is trained and tested on the real data set with
作者: 我沒有強(qiáng)迫    時(shí)間: 2025-3-29 12:42

作者: 思鄉(xiāng)病    時(shí)間: 2025-3-29 18:32
Interpreting Large-Scale Attacks Against Open-Source Medical Systems Using eXplainable AI,ncerns. Integrating machine learning algorithms for predicting and identifying potential cyber threats represents a promising advancement. They, however, were not widely accepted in medical practice because of their inherent complexity and lack of explainability. These constraints make implementing
作者: MOTIF    時(shí)間: 2025-3-29 20:39

作者: Eeg332    時(shí)間: 2025-3-30 01:38

作者: 監(jiān)禁    時(shí)間: 2025-3-30 05:27

作者: 憂傷    時(shí)間: 2025-3-30 09:34
,Child Abuse Behaviors Identification from?Surveillance Videos, important not only in recognizing child abuse but also in applying appropriate penalties for those who perform violence on children. In this paper, YOLOv5 and YOLOv8 are used to build models detecting whether there is any child violence performed in surveillance videos. The child abuse behaviors ex
作者: choroid    時(shí)間: 2025-3-30 14:12

作者: infarct    時(shí)間: 2025-3-30 19:26
,Assessment of?WMN-CS Intelligent Simulation System for?Uniform, Weibull and?Chi-Square Distributiones such as congestion, interference, diminished data transfer speeds, packet losses, and increased latency. The location of mesh routers is one of the most critical decisions to deal with these problems. However, determining the optimal location of mesh routers in WMNs is difficult task and it is kn
作者: Hippocampus    時(shí)間: 2025-3-30 23:50

作者: 巨大沒有    時(shí)間: 2025-3-31 03:26
Trusted Computing in Advanced Cybersecurity Solutions, of great importance in defending against cyberattacks. This paper defines the concept of trusted computing and describes how it can be used to implement secure distributed computing and how it can be used in cybersecurity procedures. Examples of trusted processing in hierarchical distributed comput
作者: Indolent    時(shí)間: 2025-3-31 05:34

作者: GULLY    時(shí)間: 2025-3-31 13:01

作者: 使?jié)M足    時(shí)間: 2025-3-31 16:03
,Early Design Mechanism for?Upgrading Smart Contract Business Processes,vironmental Sustainability, Security, etc. The upgradability of an SC BP is an important aspect of blockchain-based systems to accommodate evolving business requirements, fix issues, and improve the efficiency of SC BPs?over time. Upgrading SC BP is very challenging because SCs on?many blockchain pl
作者: MUTED    時(shí)間: 2025-3-31 19:31

作者: evasive    時(shí)間: 2025-3-31 22:45

作者: Adenoma    時(shí)間: 2025-4-1 02:37

作者: 一再困擾    時(shí)間: 2025-4-1 06:52
Jerry R. Barker,David T. Tingeyating sentiment analysis in stock market prediction, which uses Twitter data as the source of sentiment information. The proposed model is validated by applying it to predicting the stock movement of the National Stock Exchange of India (denoted NIFTY 50). Our proposed approach consists of capturing
作者: 斜谷    時(shí)間: 2025-4-1 12:48
Jerry R. Barker,David T. Tingeyement. A suitable logistics center location model is vital for the efficient functioning of the entire supply chain. In this study, we establish a decision model for logistics center location based on the operational process of the logistics center, with the sum of the construction cost, storage cos
作者: PAN    時(shí)間: 2025-4-1 14:37
Air Pollution Effects on Biodiversitynese language-specific, finance-oriented pre-trained model, is utilized to extract sentiment from financial texts. This sentiment data is combined with historical stock price data and input into an LSTM network to predict future stock prices. The model is trained and tested on the real data set with




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