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標(biāo)題: Titlebook: Extended Selected Papers of the 14th International Conference on Information, Intelligence, Systems,; IISA2023 Nikolaos Bourbakis,George A. [打印本頁]

作者: Blandishment    時間: 2025-3-21 16:42
書目名稱Extended Selected Papers of the 14th International Conference on Information, Intelligence, Systems,影響因子(影響力)




書目名稱Extended Selected Papers of the 14th International Conference on Information, Intelligence, Systems,影響因子(影響力)學(xué)科排名




書目名稱Extended Selected Papers of the 14th International Conference on Information, Intelligence, Systems,網(wǎng)絡(luò)公開度




書目名稱Extended Selected Papers of the 14th International Conference on Information, Intelligence, Systems,網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Extended Selected Papers of the 14th International Conference on Information, Intelligence, Systems,被引頻次




書目名稱Extended Selected Papers of the 14th International Conference on Information, Intelligence, Systems,被引頻次學(xué)科排名




書目名稱Extended Selected Papers of the 14th International Conference on Information, Intelligence, Systems,年度引用




書目名稱Extended Selected Papers of the 14th International Conference on Information, Intelligence, Systems,年度引用學(xué)科排名




書目名稱Extended Selected Papers of the 14th International Conference on Information, Intelligence, Systems,讀者反饋




書目名稱Extended Selected Papers of the 14th International Conference on Information, Intelligence, Systems,讀者反饋學(xué)科排名





作者: FAR    時間: 2025-3-21 20:14

作者: 疲勞    時間: 2025-3-22 03:14
https://doi.org/10.1007/978-3-531-90431-3orization approach. Specifically, we classify the relevant works according to: i) the application field they focus on, ii) the methods they introduce?to mitigate class imbalance, and iii) the classification models they utilize to evaluate?the introduced algorithms. Additionally, we cover the state-o
作者: 有節(jié)制    時間: 2025-3-22 07:31
Wahlkampfmedien und Medienwahlkampf, academic context called “tentacles-metric” (TENMET). The objective of the TENMET metric is to detect the intensity of the deviation of the data that is progressively and automatically incorporated into the learning machines, based on a heuristic and systematic evaluation of social networks. The ana
作者: Atmosphere    時間: 2025-3-22 10:01
Medien und die soziale Konstruktion von Zeitriables and examines the explainability of interpretable short-term load forecasting structures that utilize environmental sequences towards the selection of important feature subsets that maximize the explained variance of load time series as well as the seasonal, trend and residual load components
作者: 一美元    時間: 2025-3-22 14:56
Bernd Schorb,Anja Hartung,Wolfgang Rei?mannh machine learning algorithms for the early detection and automated identification of pests and diseases, enabling prompt and effective interventions. This paper aims to provide a comprehensive overview of current applications and emerging trends in the use of thermal imaging and machine learning in
作者: 一美元    時間: 2025-3-22 20:46

作者: 控制    時間: 2025-3-22 23:11

作者: 微塵    時間: 2025-3-23 02:42

作者: 不可思議    時間: 2025-3-23 08:13
Stephan Münte-Goussar Dipl.-P?d.ongoing research study in our Department that will involve students enrolled in various courses and staff members are then outlined. Preliminary assessment results obtained from senior pre-service teachers enrolled in the undergraduate course ‘Creative Writing’ are discussed. The overall discussion
作者: 譏笑    時間: 2025-3-23 14:23
Medien ? Kultur ? Kommunikationing. The models were assessed twice: first using test data and again using unseen data. The ET model surpassed the other models with an accuracy of 82.09% and continued to dominate the validation and evaluation processes, according to the results from the Notepad++?dataset. On the other hand, the re
作者: chandel    時間: 2025-3-23 19:52
Conference proceedings 2024d to the collection of new information, and the “Information à Intelligence à Systems à Applications” circle is repeated at ever higher levels. These works cover a broad spectrum of topics from both novelties in theory and advanced methodologies as well as novel applications in energy, agriculture,
作者: 挖掘    時間: 2025-3-24 00:45
A Multi-dimensional Survey on?Learning from?Imbalanced Dataorization approach. Specifically, we classify the relevant works according to: i) the application field they focus on, ii) the methods they introduce?to mitigate class imbalance, and iii) the classification models they utilize to evaluate?the introduced algorithms. Additionally, we cover the state-o
作者: 單色    時間: 2025-3-24 03:35
Machine Learning and Human Unlearning academic context called “tentacles-metric” (TENMET). The objective of the TENMET metric is to detect the intensity of the deviation of the data that is progressively and automatically incorporated into the learning machines, based on a heuristic and systematic evaluation of social networks. The ana
作者: outrage    時間: 2025-3-24 07:42

作者: CHIDE    時間: 2025-3-24 12:52
Machine Learning and?Thermal Imaging in?Precision Agricultureh machine learning algorithms for the early detection and automated identification of pests and diseases, enabling prompt and effective interventions. This paper aims to provide a comprehensive overview of current applications and emerging trends in the use of thermal imaging and machine learning in
作者: landmark    時間: 2025-3-24 17:15

作者: 偽書    時間: 2025-3-24 21:23
Digitization of Forensic Engineering: Overview, Perspectives and New Challengestion entails, in both scientific and innovation terms. Secondly, different examples of data-driven approaches and intelligent systems for knowledge extraction, representation and classification will be presented in multiple contexts of forensic engineering. Following a methodologic analysis of the m
作者: 教唆    時間: 2025-3-25 00:11
Supporting the Maintenance Process of Healthcare Pervasive Devicesus stakeholders involved in production (Owner), use (Customer) and operations (Maintainer or 3rd Party) of a system..Enabling techniques of this approach are: edge-cloud continuum, formal models, machine learning, model-driven engineering, knowledge management and representation techniques.
作者: 周年紀(jì)念日    時間: 2025-3-25 06:29

作者: compel    時間: 2025-3-25 10:51
Few-Shot 1/, Anomalies Feedback: Damage Vision Mining Opportunity and Embedding Feature Imbalancejority-minority class imbalance, 3) foreground-background of spatial imbalance, 4) long-tailed class of pixel-wise imbalance. Since 2015, there has been many imbalanced studies using deep learning approaches that includes regression, image classification, object detection, semantic segmentation. How
作者: 小教堂    時間: 2025-3-25 14:22

作者: 安慰    時間: 2025-3-25 19:38

作者: 破譯密碼    時間: 2025-3-25 20:29

作者: 比目魚    時間: 2025-3-26 02:56
An Expert System for Decision Making in the Face of Imprecise, Inconsistent and Paracomplete Data – licting opinions or omit information. The usual systems based on classical reasoning to manipulate such data show us difficulty in implementation or their logical analysis. Even decision-makers are not comfortable with the presence of inaccurate information. This work presents an expert system that
作者: Encephalitis    時間: 2025-3-26 06:11
Machine Learning and Human Unlearningmber of variables that are related to models, types of algorithms, classification techniques, among others. In all of them, data continues to be the key element. A piece of data that is the input to a process to obtain information, which in turn can be transformed into data for a new process, in a f
作者: 鋼盔    時間: 2025-3-26 11:01
Circumstance Evaluation Using Extreme Value Analysis on?Charging Station Data: The Case of?DEI Blue e demand for EV charging. The datasets have been provided by ., a service designed to provide integrated e-mobility solutions to individuals, companies and public administration throughout Greece. Eventhough the data are limited as they have been collected during a period of only twelve months, our
作者: Arteriography    時間: 2025-3-26 14:30

作者: Terrace    時間: 2025-3-26 16:59

作者: 周興旺    時間: 2025-3-26 21:52
Reinforcement Learning Agents in?Precision Agriculture, has marked an era of enhanced efficiency, productivity, and sustainability through exploiting scientific fields such as Machine Learning, Big Data, Computer Vision, Internet of Things and Robotics being applied in agriculture more and more. Given the frequent need for ongoing decision-making insid
作者: cuticle    時間: 2025-3-27 02:54
Inductive Machine Learning for Classifying Breast Lesions from Imbalanced MRI-B Dataservations of magnetic mammograms. Specifically, magnetic mammography data MRI-data) collected in collaboration with medical experts, are utilized. The proposed methodology combines different stages of data pre-processing (value grouping of variables, filling-in missing values, etc.) in combination
作者: 展覽    時間: 2025-3-27 06:13

作者: Clumsy    時間: 2025-3-27 11:09
Digitization of Forensic Engineering: Overview, Perspectives and New Challengeseed of extracting, representing and storing the underlying information. The scope of application is wide and multidisciplinary, as the digitization process now fully involves all phases of the forensic process. Due to the recent innovations in the field of knowledge representation and data analytics
作者: 邊緣帶來墨水    時間: 2025-3-27 15:25

作者: Exaggerate    時間: 2025-3-27 21:01

作者: 追蹤    時間: 2025-3-27 23:51
TravelTheLake: Promoting Sustainable Lake Development Using Augmented Reality affecting the socioeconomic relations of local inhabitants, food producers and visitors. The application is based on previous research showing that appropriate fishing methods in the lake could have a positive impact on the quality of fishing population, on the income of fishermen and the broader d
作者: 昏暗    時間: 2025-3-28 02:44
Few-Shot 1/, Anomalies Feedback: Damage Vision Mining Opportunity and Embedding Feature Imbalancely detection in industrial applications. Specifically, for condition-based maintenance, automating visual inspection is crucial to ensure high quality. Deterioration prognostic attempts to optimize the fine decision process for predictive maintenance and proactive repair. In civil infrastructure and
作者: 祝賀    時間: 2025-3-28 09:47

作者: STENT    時間: 2025-3-28 12:10
Software Defect Detection Using Machine Learning on Data from Open-Source Programst are defective and those that are not, and it also explores the idea of employing only structural code metrics to achieve that. To categorize files as defective or non-defective, two real-life datasets were used: one from the source code of twenty-six releases of Notepad++?and one from the source c
作者: promote    時間: 2025-3-28 17:54
2367-3370 ference on Information, Intelligence, Systems, and Applicati.This book includes extended versions of selected research works that were presented at the 14th International Conference on Information, Intelligence, Systems, and Applications (IISA2023), Volos, Greece, 10–12 July 2024 (https://www.easyac
作者: BIDE    時間: 2025-3-28 21:21
,Islamismus in Deutschland und ?sterreich,that were presented at the . (. along with additional relevant papers by invited authors. These works cover a broad spectrum of topics from both novelties in theory and advanced methodologies as well as applications in the Energy, Agriculture, Medicine, Forensics, Healthcare, Education, Tourism, Inspection, Traffic and Software Engineering.
作者: Lipoprotein    時間: 2025-3-28 23:46

作者: 改正    時間: 2025-3-29 05:39
Introduction to Advances in Information, Intelligence, Systems and Applications,that were presented at the . (. along with additional relevant papers by invited authors. These works cover a broad spectrum of topics from both novelties in theory and advanced methodologies as well as applications in the Energy, Agriculture, Medicine, Forensics, Healthcare, Education, Tourism, Inspection, Traffic and Software Engineering.
作者: 壁畫    時間: 2025-3-29 09:03
Reinforcement Learning Agents in?Precision Agriculturegement, water management and robot control. Moreover, we highlight the importance and advantages of exploiting Reinforcement Learning in agriculture and highlight the gaps that exist in the literature. Lastly, we propose a general framework towards the future applications of Reinforcement Learning in the field of agriculture.
作者: 使絕緣    時間: 2025-3-29 12:23
https://doi.org/10.1007/978-3-658-01324-0allows manipulating data from databases with imprecise, inconsistent, or incomplete information. Such a system is based on a new class of non-classical logic, the paraconsistent annotated evidential logic Eτ, which allows working with the concepts mentioned earlier to provide a more reliable decision to the decision maker.
作者: BRINK    時間: 2025-3-29 18:18
An Expert System for Decision Making in the Face of Imprecise, Inconsistent and Paracomplete Data – allows manipulating data from databases with imprecise, inconsistent, or incomplete information. Such a system is based on a new class of non-classical logic, the paraconsistent annotated evidential logic Eτ, which allows working with the concepts mentioned earlier to provide a more reliable decision to the decision maker.
作者: GLUT    時間: 2025-3-29 21:45

作者: intercede    時間: 2025-3-30 03:21
Medien und die Koordination des Handelnspulation mobility and incoming visitors. These occurrences impact technical aspects of battery efficiency, grid capacity and a shift of behavioural usage patterns. Our findings cannot be ignored by policy makers as they are expected to intensify in the years to come due to the fast-rising number of EVs in use.
作者: 歡笑    時間: 2025-3-30 06:33
https://doi.org/10.1007/978-3-322-97219-4ssifiers. With respect to the performance measures geometric mean, harmonic mean, and area under curve, [Fuzzy C-Means SMOTE?+?Fuzzy KNN] and [fuzzy C-Means SMOTE?+?Fuzzy Decision Tree] outperformed the deterministic systems and showed a great ability to generalize their learning to unseen patients.
作者: 厚顏無恥    時間: 2025-3-30 08:14

作者: 縮影    時間: 2025-3-30 15:36

作者: Cursory    時間: 2025-3-30 20:18

作者: 配置    時間: 2025-3-30 22:44
Fuzzy Clustering SMOTE and Fuzzy Classifiers for Hidden Disease Predictionsssifiers. With respect to the performance measures geometric mean, harmonic mean, and area under curve, [Fuzzy C-Means SMOTE?+?Fuzzy KNN] and [fuzzy C-Means SMOTE?+?Fuzzy Decision Tree] outperformed the deterministic systems and showed a great ability to generalize their learning to unseen patients.
作者: Hearten    時間: 2025-3-31 03:12

作者: Delectable    時間: 2025-3-31 05:18

作者: 堅毅    時間: 2025-3-31 12:25
Nikolaos Bourbakis,George A. Tsihrintzis,Lakhmi C.Presents the latest research on Information, Intelligence, Systems, and Applications.Gathers extended selected works of the 14th Intern. Conference on Information, Intelligence, Systems, and Applicati
作者: 血統(tǒng)    時間: 2025-3-31 15:27
Lecture Notes in Networks and Systemshttp://image.papertrans.cn/f/image/320411.jpg
作者: 水獺    時間: 2025-3-31 20:23
978-3-031-67425-9The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
作者: 遺傳學(xué)    時間: 2025-3-31 23:36

作者: RENAL    時間: 2025-4-1 04:21
https://doi.org/10.1007/978-3-031-67426-6Computational Intelligence; Information; Intelligence; Systems; Applications; Smart Cities; Energy Sector;
作者: Arable    時間: 2025-4-1 09:26

作者: etiquette    時間: 2025-4-1 13:53

作者: Innovative    時間: 2025-4-1 16:28
https://doi.org/10.1007/978-3-658-01324-0licting opinions or omit information. The usual systems based on classical reasoning to manipulate such data show us difficulty in implementation or their logical analysis. Even decision-makers are not comfortable with the presence of inaccurate information. This work presents an expert system that
作者: 定點(diǎn)    時間: 2025-4-1 18:47

作者: 躲債    時間: 2025-4-1 23:51
Medien und die Koordination des Handelnse demand for EV charging. The datasets have been provided by ., a service designed to provide integrated e-mobility solutions to individuals, companies and public administration throughout Greece. Eventhough the data are limited as they have been collected during a period of only twelve months, our
作者: phlegm    時間: 2025-4-2 06:23
Medien und die soziale Konstruktion von Zeittween environmental parameters and the variable of load, as well as the occurrence of impactful events, thus reinforcing the predictive power of estimators. It is evident that the inclusion of those additional features increases the input dimensions and decreases the overall explainability of foreca




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