標(biāo)題: Titlebook: Artificial Intelligence Logic and Applications; The 3rd Internationa Songmao Zhang,Yonggang Zhang Conference proceedings 2023 The Editor(s) [打印本頁] 作者: purulent 時(shí)間: 2025-3-21 16:09
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書目名稱Artificial Intelligence Logic and Applications被引頻次學(xué)科排名
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書目名稱Artificial Intelligence Logic and Applications讀者反饋
書目名稱Artificial Intelligence Logic and Applications讀者反饋學(xué)科排名
作者: Osteons 時(shí)間: 2025-3-21 22:00
Overview of Geophysical Techniques,epts formed through the binary or classical Formal Concept Analysis and Intuitionistic Fuzzy formal concepts formed through Formal Concept Analysis operations on Intuitionistic Fuzzy Sets data are analysed through different Granular Computing measures. In this research article we discuss these Granu作者: 壓倒 時(shí)間: 2025-3-22 01:07
es of open-source community. At the same time, We construct membership functions to optimize experts’ evaluations of open-source community. Finally, this paper takes OpenEuler community as an empirical object and uses the fuzzy comprehensive evaluation model proposed in this paper to measure and ver作者: blister 時(shí)間: 2025-3-22 06:53
implication operators under the interval-valued environment. It is observed that the α-UTI algorithm possesses good simple perturbation performance for single rule or multi-rules, in which specific interval implications are used.作者: 修飾語 時(shí)間: 2025-3-22 11:32
A Pedagogical Model For Guided Inquiry,rich information. We calculate the questoin difficulty and discrimination respectively through the existing datasets, and embed them into the representation, and then we integrate them through a linear layer to process the features. In addition, we use a monotonic attention mechanism to connect the 作者: padding 時(shí)間: 2025-3-22 16:08 作者: 吼叫 時(shí)間: 2025-3-22 20:20 作者: 用樹皮 時(shí)間: 2025-3-22 21:47 作者: aspect 時(shí)間: 2025-3-23 03:20
Granular Computing Measures for?the?Classical Formal Concepts and?Intuitionistic Fuzzy Formal Concepepts formed through the binary or classical Formal Concept Analysis and Intuitionistic Fuzzy formal concepts formed through Formal Concept Analysis operations on Intuitionistic Fuzzy Sets data are analysed through different Granular Computing measures. In this research article we discuss these Granu作者: 加強(qiáng)防衛(wèi) 時(shí)間: 2025-3-23 09:17
A Trustworthiness Fuzzy Evaluation Model for?Open Source Communityes of open-source community. At the same time, We construct membership functions to optimize experts’ evaluations of open-source community. Finally, this paper takes OpenEuler community as an empirical object and uses the fuzzy comprehensive evaluation model proposed in this paper to measure and ver作者: insolence 時(shí)間: 2025-3-23 12:33 作者: NATAL 時(shí)間: 2025-3-23 15:27
FDDKT:A Novel Knowledge Tracing Method by?Fusing Difficulty and?Discrimination for?Intelligent Educarich information. We calculate the questoin difficulty and discrimination respectively through the existing datasets, and embed them into the representation, and then we integrate them through a linear layer to process the features. In addition, we use a monotonic attention mechanism to connect the 作者: 必死 時(shí)間: 2025-3-23 20:47
Comparison and Implementation of ROS-Based SLAM and Path Planning Methodsults, the optimal combination for navigation can be obtained. Based on the experimental results, a basic service platform for SLAM and path planning based on ROS was developed, which provides further services for subsequent work.作者: 量被毀壞 時(shí)間: 2025-3-23 23:36 作者: prodrome 時(shí)間: 2025-3-24 06:19
4-D (Time Lapse 3-D) Seismic Surveys,usters (i.e., the object has the feature of multiple clusters). The experimental result shows that the proposed multi-view fuzzy clustering method achieves better performance than several related clustering methods.作者: 嘴唇可修剪 時(shí)間: 2025-3-24 10:21
A Pedagogical Model For Guided Inquiry, vanilla prediction model to obtain similarities between visit contexts and extend visit records by referencing similar visit contexts in the training dataset. Our experiments show that the proposed model performs better than the current state-of-the-art in diagnostic prediction.作者: 杠桿 時(shí)間: 2025-3-24 13:26
Michael D. Max,Arthur H. Johnsontion, the triangular modulus interval implication, the S-interval implication and the QL-interval implication. It is observed that the α-UTI algorithm has good interval perturbation performance for single rule or multi-rules, in which unified interval implications are employed.作者: 技術(shù) 時(shí)間: 2025-3-24 17:25
A Novel Multi-view Fuzzy Clustering Algorithm Based on?Fuzzy C-Meansusters (i.e., the object has the feature of multiple clusters). The experimental result shows that the proposed multi-view fuzzy clustering method achieves better performance than several related clustering methods.作者: landfill 時(shí)間: 2025-3-24 19:38
Graph-Based Diagnostic Prediction Model Based on?Global Visit Contexts vanilla prediction model to obtain similarities between visit contexts and extend visit records by referencing similar visit contexts in the training dataset. Our experiments show that the proposed model performs better than the current state-of-the-art in diagnostic prediction.作者: ONYM 時(shí)間: 2025-3-25 01:07
On Interval Perturbation of the α-Universal Triple I Algorithm for Unified Interval Implicationstion, the triangular modulus interval implication, the S-interval implication and the QL-interval implication. It is observed that the α-UTI algorithm has good interval perturbation performance for single rule or multi-rules, in which unified interval implications are employed.作者: 詞根詞綴法 時(shí)間: 2025-3-25 04:36 作者: Infirm 時(shí)間: 2025-3-25 11:07 作者: Vulnerary 時(shí)間: 2025-3-25 13:01 作者: 事情 時(shí)間: 2025-3-25 17:48 作者: 細(xì)頸瓶 時(shí)間: 2025-3-25 20:06
Naresh Kumar Thakur,Sanjeev Rajput to the diagnostic model to speed up the diagnosis. The heuristics information is obtained from the clustering. In the online diagnosis, once the undefined behavior is found, the model is reconstructed according to the classification and order relationship of the undefined behavior in the existing cluster, and the possible diagnoses is obtained.作者: 用肘 時(shí)間: 2025-3-26 02:32
Naresh Kumar Thakur,Sanjeev Rajputn MARCO, and 9.56% faster than HSPA. The effectiveness and superiority of our algorithm make it a suitable choice for real-time applications with demanding requirements, particularly in the domain of autonomous driving’s environmental perception tasks.作者: Brocas-Area 時(shí)間: 2025-3-26 08:21
1865-0929 The 26 full papers and the 10 short papers included in this volume were carefully reviewed and selected from 56 submissions...This volume aims to provide novel ideas, original research achievements, and practical experiences in a broad range of artificial intelligence logic and applications..978-981作者: 愚笨 時(shí)間: 2025-3-26 11:09
Neurons and Neuronal Signal Propagation,nite state automata into a boolean expression. The boolean function is represented by a Binary Decision Diagram (BDD). Based on this method, the discrete system is further abstracted, and the time complexity and space complexity of the diagnosis operation are effectively reduced by using the algorithm based on the sequence of observed events.作者: 終止 時(shí)間: 2025-3-26 16:23 作者: 有權(quán)威 時(shí)間: 2025-3-26 17:00
A Fault Diagnosis Method of Discrete Event System Based on Binary Decision Diagramnite state automata into a boolean expression. The boolean function is represented by a Binary Decision Diagram (BDD). Based on this method, the discrete system is further abstracted, and the time complexity and space complexity of the diagnosis operation are effectively reduced by using the algorithm based on the sequence of observed events.作者: Pandemic 時(shí)間: 2025-3-26 21:30 作者: Heresy 時(shí)間: 2025-3-27 01:42
Evidence-Based Argumentation and?Its Incremental Semanticsevidence and can then defeat their opponents. Moreover, the incremental semantics of the framework explicate the fallibility and cumulative nature of evidence. It largely increases the expressive power of formal argumentation.作者: immunity 時(shí)間: 2025-3-27 06:47
An Abstraction Neural Network Generator for?Efficient Formal Verificationstance-Based Merging (DBM) operator to optimize the abstract operation. Also, we propose a Dynamic-Merging Abstraction (DMA) algorithm to heuristically merge the network. Experimental results show that our method outperforms other state-of-the-art methods in terms of output precision.作者: largesse 時(shí)間: 2025-3-27 13:00
A Diagnostic Model Generation Method Based on Clustering to the diagnostic model to speed up the diagnosis. The heuristics information is obtained from the clustering. In the online diagnosis, once the undefined behavior is found, the model is reconstructed according to the classification and order relationship of the undefined behavior in the existing cluster, and the possible diagnoses is obtained.作者: sclera 時(shí)間: 2025-3-27 17:25 作者: 彎曲道理 時(shí)間: 2025-3-27 21:23
Evidence-Based Argumentation and?Its Incremental Semantics work, the crucial role that evidence plays has not been adequately captured. To address this issue, this paper proposes an extension of Dung’s abstract argumentation framework that includes a set of evidence and the concept of evidential support. Under this framework, arguments derive support from 作者: Regurgitation 時(shí)間: 2025-3-27 22:34 作者: obligation 時(shí)間: 2025-3-28 04:31
Granular Computing Measures for?the?Classical Formal Concepts and?Intuitionistic Fuzzy Formal Concepst fires. Constructing periodical timeslots or spatial hierarchies like country, state, region etc. approaches are used to explore knowledge about event occurrences for public security or safety purposes. Granular Computing approach is used with Formal Concept Analysis to discover knowledge in such 作者: graphy 時(shí)間: 2025-3-28 06:14 作者: 宣誓書 時(shí)間: 2025-3-28 13:12 作者: 裂口 時(shí)間: 2025-3-28 16:54 作者: Colonnade 時(shí)間: 2025-3-28 18:54
FDDKT:A Novel Knowledge Tracing Method by?Fusing Difficulty and?Discrimination for?Intelligent Educaity education, is drawing increasing attention. Recent studies use flexible deep neural network models for knowledge tracing task and have gain good results. However, most of the existing studies ignore the influence of difficulty factor and discrimination factor on knowledge tracing task. In fact, 作者: Legion 時(shí)間: 2025-3-28 23:23 作者: 一加就噴出 時(shí)間: 2025-3-29 05:43 作者: Limousine 時(shí)間: 2025-3-29 08:43 作者: Diaphragm 時(shí)間: 2025-3-29 15:22 作者: 情感 時(shí)間: 2025-3-29 18:09 作者: 易怒 時(shí)間: 2025-3-29 20:48 作者: 哀悼 時(shí)間: 2025-3-30 00:58 作者: 充滿裝飾 時(shí)間: 2025-3-30 05:42 作者: 蜈蚣 時(shí)間: 2025-3-30 09:46
Conceptual Clustering Based on?Linguistic-Valued Layered Concept Lattice cannot handle fuzzy linguistic information. In this work, we propose a conceptual clustering based on linguistic-valued layered concept lattice is generated by the fuzzy linguistic coupling relationship between attributes. To obtain bi-clustering results for linguistic concepts, attribute-induced a作者: 一回合 時(shí)間: 2025-3-30 13:33
Clause and Literal Selection Strategies Based on Complementary Pair Distribution for Contradiction Sicity, multi-clauses involving, and synergy. In order to better utilize the synergy between clauses of this state-of-art automated deduction mechanism, this paper proposes two types of strategies for clause and literal selection during the deduction process. The first one is clause selection strateg作者: 教唆 時(shí)間: 2025-3-30 16:33 作者: Valves 時(shí)間: 2025-3-31 00:15
Conference proceedings 2023l papers and the 10 short papers included in this volume were carefully reviewed and selected from 56 submissions...This volume aims to provide novel ideas, original research achievements, and practical experiences in a broad range of artificial intelligence logic and applications..作者: 團(tuán)結(jié) 時(shí)間: 2025-3-31 04:26
Artificial Intelligence Logic and Applications978-981-99-7869-4Series ISSN 1865-0929 Series E-ISSN 1865-0937 作者: 排斥 時(shí)間: 2025-3-31 06:01
Michael D. Max,Arthur H. Johnsonis a kind of important aggregation functions. We characterize WQAM operators based on a continuous triangular norm. Besides, some basic results and examples about these WQAM operators are given. Finally, a new multi-attribute decision model is presented to explain the application of these WQAM operators by a numerical example.作者: antedate 時(shí)間: 2025-3-31 12:11 作者: oncologist 時(shí)間: 2025-3-31 14:01
G. Kerschen,T. Detroux,G. Habibently. Among them, kernel-based non-negative matrix factorization maps data to high-dimensional space, which is a nonlinear NMF method and is mainly used to extract high-order features of image data. The feature information obtained by different kernel functions has different characteristics and mak作者: enhance 時(shí)間: 2025-3-31 20:12 作者: Nausea 時(shí)間: 2025-3-31 23:43 作者: 不要嚴(yán)酷 時(shí)間: 2025-4-1 04:11 作者: 衍生 時(shí)間: 2025-4-1 10:02
