標題: Titlebook: Advances in Artificial Intelligence-Empowered Decision Support Systems; Papers in Honour of George A. Tsihrintzis,Maria Virvou,Lakhmi C. J [打印本頁] 作者: 筆記 時間: 2025-3-21 18:09
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書目名稱Advances in Artificial Intelligence-Empowered Decision Support Systems網(wǎng)絡(luò)公開度學科排名
書目名稱Advances in Artificial Intelligence-Empowered Decision Support Systems被引頻次
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書目名稱Advances in Artificial Intelligence-Empowered Decision Support Systems年度引用
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書目名稱Advances in Artificial Intelligence-Empowered Decision Support Systems讀者反饋
書目名稱Advances in Artificial Intelligence-Empowered Decision Support Systems讀者反饋學科排名
作者: 安定 時間: 2025-3-22 00:16 作者: 辭職 時間: 2025-3-22 01:53 作者: 情感 時間: 2025-3-22 07:28 作者: Crayon 時間: 2025-3-22 11:50 作者: Ambiguous 時間: 2025-3-22 14:48
https://doi.org/10.1007/978-3-8348-9927-9 autonomy and expanding their applicability across various new domains. These Artificial Intelligence-empowered approaches prove to be very effective and include: (1) Intelligent decision-making systems, in which expertise, knowledge, and Artificial Intelligence are integrated, (2) Decision support 作者: Sputum 時間: 2025-3-22 17:16 作者: Prognosis 時間: 2025-3-23 00:45 作者: 階層 時間: 2025-3-23 05:15 作者: Largess 時間: 2025-3-23 06:43 作者: ostracize 時間: 2025-3-23 10:40
Verkettete Codes und iterative Decodierungspectrum treatments is that predictive response factors are still poorly known: among such factors, the elements predicting in advance if a patient can sustain the treatment. The advantage of having such a prediction can influence both the patient care process, and the management of healthcare struc作者: 無政府主義者 時間: 2025-3-23 17:45 作者: induct 時間: 2025-3-23 21:29
Grundlagen der digitalen Signalverarbeitungnowledge, and hybrid filtering. Special attention is paid to methods using knowledge representation models. The proposed recommender system is based on the production model that determines which recommendations should be applied depending on the given conditions. Based on the query correlating with 作者: ABASH 時間: 2025-3-24 00:38
Analoge zeitkontinuierliche Systeme,ss plans for historic urban environments and more resilient communities. Nevertheless, the singularities and specificities that historical constructions often present the need for customising/tailoring and adapting generalised and common vulnerability assessment approaches. The balance between detai作者: fledged 時間: 2025-3-24 06:07 作者: Coronary 時間: 2025-3-24 09:26 作者: 繁忙 時間: 2025-3-24 13:24
Zeitdiskrete Signale und Signalparameter, images was prepared in cooperation with the Ulyanovsk Civil Aviation Institute to solute this task. Classification, object detection and segmentation algorithms are investigated using modern deep learning technologies and our dataset. Modifications of convolutional neural networks as well as attent作者: Microgram 時間: 2025-3-24 18:21 作者: 桶去微染 時間: 2025-3-24 19:59 作者: Encumber 時間: 2025-3-25 02:35 作者: 原來 時間: 2025-3-25 07:25 作者: colloquial 時間: 2025-3-25 10:22 作者: 使乳化 時間: 2025-3-25 12:58 作者: hypnotic 時間: 2025-3-25 16:55 作者: hematuria 時間: 2025-3-25 21:13
Zeitdiskrete Signale und Signalparameter,ble real-time performance. High Accuracy, mean Average Precision—mAP (84.5%) and Dice-Score (87.22%) quality metrics and frames per second—FPS (>20 FPS) performance metrics are obtained. Suggestions for the application of the obtained results and further research ways are formulated.作者: anagen 時間: 2025-3-26 02:57
Extracting Sentiment from Business News Announcements for More Efficient Decision Makingormation. The investment community can benefit from a system that is able to extract sentiment from regulatory news announcements. In this article, we cover this gap by proposing a system that extracts sentiment from regulatory news announcements for more efficient decision making.作者: Platelet 時間: 2025-3-26 04:33 作者: Perceive 時間: 2025-3-26 10:02 作者: Arbitrary 時間: 2025-3-26 14:22
https://doi.org/10.1007/978-3-8348-9927-9lishing houses using related keywords and phrases. The review briefly presents the main findings of each paper and classifies them according to their medical topic of specific interest (diagnosis, breast lesion classification, detection, abnormality classification, estimation of cancer risk, etc.). 作者: cavity 時間: 2025-3-26 16:51
https://doi.org/10.1007/978-3-8348-9927-9er used for model development and evaluation. Four pre-trained CNN models AlexNet, VGG16, Inception-v3, and ResNet50 that follow transfer learning approaches are used to build the ensemble model. The proposed ensemble model outperforms the state-of-the-art CNN architectures in terms of sensitivity, 作者: 舉止粗野的人 時間: 2025-3-26 21:12
Verkettete Codes und iterative Decodierungeases, or hypertension, by leveraging Artificial Neural Networks (ANNs). The predicted risks of these diseases are evaluated by our machine learning-based context handlers, to predict the criticality of patients’ health state. The developed access control method protects the patients’ heath, and sim作者: fodlder 時間: 2025-3-27 03:25 作者: 書法 時間: 2025-3-27 07:22
Analoge zeitkontinuierliche Systeme,ible and clearly divided clustering. (iii) The interpretation of the clustering with the full selection of data allows us to discuss and rank regions according to two dimensions: ‘Lifestyle, Health, and Environment’, and ‘Economic stress, unemployment, and mortality and morbidity’. These rankings pr作者: 清真寺 時間: 2025-3-27 11:25
Grundlagen der digitalen Signalverarbeitungng information on popular Russian real estate rental sites, the processing of these data and a knowledge-based model. Also database has been created, as well as web service, the output of which is a Google map with markers of different colors that indicate the degree of recommendation offered to the作者: MILL 時間: 2025-3-27 16:02
Analoge zeitkontinuierliche Systeme,ic response of the structures have been drawn from empirical observations (e.g., in the aftermath of intense seismic events), such regressive analysis may be improved and facilitated by employing Machine Learning categorisation algorithms. This chapter investigates the usability of parameter-based s作者: disciplined 時間: 2025-3-27 20:58 作者: Daily-Value 時間: 2025-3-28 00:14 作者: macrophage 時間: 2025-3-28 05:18 作者: 變異 時間: 2025-3-28 06:35
Introduction to Advances in Artificial Intelligence-Empowered Decision Support Systems,ce-empowered Decision Support Systems, while at the same time honouring Professor John E. Psarras, a world-renowned researcher in this area. The book is directed towards professors, researchers, scientists, engineers, and students in all Computer Science, Artificial Intelligence and Decision Support作者: Neolithic 時間: 2025-3-28 13:43 作者: endarterectomy 時間: 2025-3-28 18:39
Classification of H&E Stained Liver Histopathology Images Using Ensemble Learning Techniques for Deter used for model development and evaluation. Four pre-trained CNN models AlexNet, VGG16, Inception-v3, and ResNet50 that follow transfer learning approaches are used to build the ensemble model. The proposed ensemble model outperforms the state-of-the-art CNN architectures in terms of sensitivity, 作者: 變異 時間: 2025-3-28 18:53 作者: forebear 時間: 2025-3-29 00:21
A Care Oriented Decision Support System Based on Ensemble Methodsated to the oncological therapies of these patients, with the information of success/failure of the therapy. The proposed DSS is realised within the framework Oncological Advanced Therapy Management (OATM) project, whose aim is to improve the quality of care for oncology patients through solutions t作者: addict 時間: 2025-3-29 06:12
Clustering Analysis of Spain at the Regional Level for the Life Insurance Sectorible and clearly divided clustering. (iii) The interpretation of the clustering with the full selection of data allows us to discuss and rank regions according to two dimensions: ‘Lifestyle, Health, and Environment’, and ‘Economic stress, unemployment, and mortality and morbidity’. These rankings pr作者: Glaci冰 時間: 2025-3-29 10:37
Knowledge-Based Commercial Real Estate Recommender Systemng information on popular Russian real estate rental sites, the processing of these data and a knowledge-based model. Also database has been created, as well as web service, the output of which is a Google map with markers of different colors that indicate the degree of recommendation offered to the作者: AMBI 時間: 2025-3-29 13:40 作者: GIDDY 時間: 2025-3-29 16:32 作者: 不能約 時間: 2025-3-29 22:11
Sensor Functional Clustering for Data Reducing at Making Robot Control Decisionsprocess data on functional clusters, using data bundling. The proposed method of forming functional clusters and minimizing the amount of data generated by the devices of the sensor system is based on reducing the operating time of the sensor and actuators selected in the cluster to solve the target作者: 矛盾心理 時間: 2025-3-30 02:01 作者: cavity 時間: 2025-3-30 07:32 作者: 急急忙忙 時間: 2025-3-30 09:53 作者: 自作多情 時間: 2025-3-30 12:51 作者: Mundane 時間: 2025-3-30 19:23 作者: 增長 時間: 2025-3-31 00:45
Artificial Intelligence in Breast Cancer Diagnosis: A Reviewreporting have led to the more widespread use of these techniques. Developing decision support systems that assist radiologists in accurate diagnoses and improving the medical decision-making process has always been a challenge for the data analysis industry. This paper presents an in-depth review o作者: 邊緣 時間: 2025-3-31 02:42
