標(biāo)題: Titlebook: Disruptive Information Technologies for a Smart Society; Proceedings of the 1 Miroslav Trajanovic,Nenad Filipovic,Milan Zdravkov Conference [打印本頁] 作者: NERVE 時(shí)間: 2025-3-21 17:30
書目名稱Disruptive Information Technologies for a Smart Society影響因子(影響力)
書目名稱Disruptive Information Technologies for a Smart Society影響因子(影響力)學(xué)科排名
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書目名稱Disruptive Information Technologies for a Smart Society網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Disruptive Information Technologies for a Smart Society被引頻次
書目名稱Disruptive Information Technologies for a Smart Society被引頻次學(xué)科排名
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書目名稱Disruptive Information Technologies for a Smart Society年度引用學(xué)科排名
書目名稱Disruptive Information Technologies for a Smart Society讀者反饋
書目名稱Disruptive Information Technologies for a Smart Society讀者反饋學(xué)科排名
作者: 奴才 時(shí)間: 2025-3-21 20:24 作者: contradict 時(shí)間: 2025-3-22 02:57 作者: Duodenitis 時(shí)間: 2025-3-22 05:29
Paul I. Schneiderman,Marc E. Grossman major role in the analysis of eye tracker data and influences saccade parameters, a more thorough algorithm evaluation is required for guided threshold estimation for saccade identification from eye tracker data recorded with low sampling frequency.作者: Heart-Rate 時(shí)間: 2025-3-22 12:14
Paul I. Schneiderman,Marc E. Grossmanuage workflows. This implies creating a CWL implementation on the Functional Engine Service backend and creating an acceptable User Interface. The key advantage of SGABU platform is the utilization of new, contemporary, modular, and unique technology for various levels of architecture.作者: 抱負(fù) 時(shí)間: 2025-3-22 14:03
Paul I. Schneiderman,Marc E. Grossmanted with two different classification models, and was also calculated using two different methods of manual data annotation. All of the acquired results show both similarities and differences from one another. The acquired results were evaluated based on the predictive abilities of classification mo作者: 抱負(fù) 時(shí)間: 2025-3-22 18:24 作者: 字謎游戲 時(shí)間: 2025-3-22 21:16
Paul I. Schneiderman,Marc E. Grossmany serving as a valuable resource for identifying associated research gaps but also evidence-based policymaking aimed at effectively addressing the challenges associated with AI in public administration in the future.作者: liposuction 時(shí)間: 2025-3-23 05:04
Paul I. Schneiderman,Marc E. Grossmann isolated from normal samples, and a K-means clustering model categorized similar attacks and labeled anomaly clusters. The most suitable supervised model for the data was determined through experimentation with various classifiers, including SVM, Random Forest, Decision Tree, KNearest Neighbor, an作者: critique 時(shí)間: 2025-3-23 07:05 作者: Perineum 時(shí)間: 2025-3-23 11:14 作者: 含鐵 時(shí)間: 2025-3-23 15:29 作者: 用手捏 時(shí)間: 2025-3-23 19:57
Finite Element Analysis of Myocardial Work in Cardiomyopathye HCM with nonlinear material model for heart wall. Analysis of myocardial work and changes of pressure and volume within the LV parametric model of HCM are presented at basic condition and after simulated effects of administered drugs. The obtained results provide better insight into the myocardial作者: 核心 時(shí)間: 2025-3-24 01:30 作者: irreducible 時(shí)間: 2025-3-24 04:54 作者: fallible 時(shí)間: 2025-3-24 09:56 作者: 步履蹣跚 時(shí)間: 2025-3-24 12:08 作者: Clinch 時(shí)間: 2025-3-24 18:53 作者: 內(nèi)部 時(shí)間: 2025-3-24 21:42
A Semi-supervised Framework for Anomaly Detection and Data Labeling for Industrial Control Systemsn isolated from normal samples, and a K-means clustering model categorized similar attacks and labeled anomaly clusters. The most suitable supervised model for the data was determined through experimentation with various classifiers, including SVM, Random Forest, Decision Tree, KNearest Neighbor, an作者: FIR 時(shí)間: 2025-3-25 01:17 作者: APEX 時(shí)間: 2025-3-25 04:17 作者: 鋼筆尖 時(shí)間: 2025-3-25 10:17
2367-3370 energy, Fintech, AI, and other areas to share and learn on the cutting-edge technologies and stay at the forefront of these rapidly evolving fields..978-3-031-50754-0978-3-031-50755-7Series ISSN 2367-3370 Series E-ISSN 2367-3389 作者: Efflorescent 時(shí)間: 2025-3-25 15:43
Can Haptic Actuator Be Used for Biofeedback Applications in Swimming?作者: 自作多情 時(shí)間: 2025-3-25 16:22
Disruptive Information Technologies for a Smart SocietyProceedings of the 1作者: 直言不諱 時(shí)間: 2025-3-25 21:08
Miroslav Trajanovic,Nenad Filipovic,Milan ZdravkovProceedings of the 13th International conference on information society and technologies (ICIST).Presents recent research on Disruptive Information Technologies for a Smart Society.Written by respecte作者: LVAD360 時(shí)間: 2025-3-26 02:49 作者: micturition 時(shí)間: 2025-3-26 04:39
https://doi.org/10.1007/978-3-031-50755-7Computational intelligence; software engineering; machine learning; digital water; blockchain; digital he作者: 碌碌之人 時(shí)間: 2025-3-26 09:37 作者: 不斷的變動(dòng) 時(shí)間: 2025-3-26 14:20 作者: Ambulatory 時(shí)間: 2025-3-26 19:49 作者: 紋章 時(shí)間: 2025-3-26 23:08 作者: GET 時(shí)間: 2025-3-27 04:28 作者: FOLD 時(shí)間: 2025-3-27 08:37
Paul I. Schneiderman,Marc E. Grossmanfailure correction. The dental implant is complex and non-trivial since multiple variables are involved. Therefore, the integration between dentistry and IT has allowed the creation of expert systems that assist the dentist during the planning and execution stages of the dental implant process. Thus作者: Cantankerous 時(shí)間: 2025-3-27 10:47
Paul I. Schneiderman,Marc E. Grossmancer, cardiovascular diseases, and tissue engineering. The SGABU platform is a robust information system capable of data integration, information extraction, and knowledge exchange, with the goal of designing and developing suitable computing pipelines to give accurate and adequate biological informa作者: echnic 時(shí)間: 2025-3-27 14:51
Paul I. Schneiderman,Marc E. Grossmanm examining the importance of clinical and genetic data points in risk stratification of patients with hypertrophic cardiomyopathy. The significance of features was gathered in consultations with cardiologists as well as from the evaluation of created classification models built for the purposes of 作者: 反叛者 時(shí)間: 2025-3-27 20:54 作者: Carcinoma 時(shí)間: 2025-3-27 22:44
Paul I. Schneiderman,Marc E. Grossmanch as a debilitating stroke and even death. This is the reason why early detection is a number one priority. This disease occurs as a result of plaque deposition within the coronary vessel. The process of manually annotating plaque components is both resource and time consuming, therefore, an automa作者: blister 時(shí)間: 2025-3-28 05:24
Paul I. Schneiderman,Marc E. Grossman There are many available open-source frameworks with different working principles and performances. From the point of view of an average user, selecting and using the right framework might not be a trivial task. We elaborate on this issue and propose our solution for it. We present an idea of AutoM作者: WAX 時(shí)間: 2025-3-28 07:50
Paul I. Schneiderman,Marc E. Grossmanng the right balance between model complexity and training data volume. Three convolutional neural networks - LeNet-5, AlexNet, and VGG-16 - are also included in the models that are being presented, along with two custom architectures. The first architecture has a very simple design, while the secon作者: Silent-Ischemia 時(shí)間: 2025-3-28 11:56
Paul I. Schneiderman,Marc E. Grossmanhe results of bibliometric analysis on 1758 documents for public administration and 2163 documents for the private sector from the Scopus database published until 2022 reveal the growth of the research after 2000, whereby the growth was much faster in public administration than in the business secto作者: 集聚成團(tuán) 時(shí)間: 2025-3-28 17:20
Paul I. Schneiderman,Marc E. Grossman One of the greatest challenges in this area is to ensure that the machine learning model is up-to-date and easily and effectively deployed to all smart systems that rely on it. However, the rapid changes, or drifts in the data can have a serious effect on the accuracy of the model, leading to unfor作者: DAMN 時(shí)間: 2025-3-28 21:01 作者: FIR 時(shí)間: 2025-3-28 23:09
Paul I. Schneiderman,Marc E. Grossmangically rich language. We applied BERTopic with three multilingual embedding models on two levels of text preprocessing (partial and full) to evaluate its performance on partially preprocessed short text in Serbian. We also compared it to LDA and NMF on fully preprocessed text. The experiments were 作者: 黃瓜 時(shí)間: 2025-3-29 04:08
Paul I. Schneiderman,Marc E. Grossmand HUD is to help drivers with the monitoring of the environment when operating a conditionally automated vehicle, and the transiting between different levels of automation. This paper presents the perceived usability, user experience, and acceptance of such an automotive telematics solution. The hig作者: 打谷工具 時(shí)間: 2025-3-29 08:02 作者: tattle 時(shí)間: 2025-3-29 11:42 作者: 羅盤 時(shí)間: 2025-3-29 19:05
Digital Technologies to Support the Decision-Making Process for Dental Implants Treatment Planningcepts and techniques of the implant dentistry area, image processing and intelligent systems systematize the determination of the best implants for multiple failures and the planning of the dental implant process. The preliminary results demonstrate the solution’s potential in finding the best solution for planning the dental implant process.作者: 障礙 時(shí)間: 2025-3-29 22:49
Comparison of Deep Learning Algorithms for Facial Keypoints Detection in facial keypoints detection. While the more complex custom Neural Network model achieved high accuracy in facial keypoints identification, the simpler custom Neural Network model could not achieve high performance.作者: Ebct207 時(shí)間: 2025-3-30 01:53 作者: nullify 時(shí)間: 2025-3-30 06:43
Paul I. Schneiderman,Marc E. Grossmanrt of Edge-Cloud-based Smart Agriculture System. To support this architecture, a prototype system that provides a machine learning model as a service in the agricultural domain is developed and tested.作者: right-atrium 時(shí)間: 2025-3-30 08:22
Using AutoML for AI Service Deployment cases of the service. We explore how the data from Feedback Data Base can be used to further improve Framework Recommendation System, as well as the potential benefits that AutoML researchers and developers can have from this data. The features of the service are outlined in a list of requirements that will be followed in the development process.作者: Gudgeon 時(shí)間: 2025-3-30 12:54
Machine Learning Model as a Service in Smart Agriculture Systemsrt of Edge-Cloud-based Smart Agriculture System. To support this architecture, a prototype system that provides a machine learning model as a service in the agricultural domain is developed and tested.作者: Myocarditis 時(shí)間: 2025-3-30 20:08
Overview of Deep Learning Methods for Retinal Vessel Segmentationdesign characteristics of the latest methods, (2) to report and analyze quantitative values of performance evaluation metrics, and (3) to analyze the advantages and disadvantages of the recent solutions.作者: Obliterate 時(shí)間: 2025-3-30 21:46
Paul I. Schneiderman,Marc E. Grossmandesign characteristics of the latest methods, (2) to report and analyze quantitative values of performance evaluation metrics, and (3) to analyze the advantages and disadvantages of the recent solutions.作者: Atheroma 時(shí)間: 2025-3-31 04:49 作者: 結(jié)合 時(shí)間: 2025-3-31 05:47 作者: 令人不快 時(shí)間: 2025-3-31 10:31
Prediction of Coronary Plaque Progression Using Data Mining and Artificial Neural Networksicians are often struggling with determining the rate of progression of the arterial narrowing caused by buildup of plaque. Computational models have brought upon a significant shift in the paradigm and the advent of Big Data and machine learning has enabled far better understanding of disease dynam作者: 并入 時(shí)間: 2025-3-31 15:39 作者: exhibit 時(shí)間: 2025-3-31 20:11 作者: Interim 時(shí)間: 2025-3-31 23:00
