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Using n-ary multi-modal logics in argumentation frameworks to reason about ethics 在论证框架中使用 nary 多模态逻辑进行伦理推理

IF 0.8 4区计算机科学

AI Communications Pub Date : 2023-12-13 DOI: 10.3233/aic-220301

Christopher Leturc, Grégory Bonnet

引用次数: 0

Entity alignment with fusing relation representation 用融合关系表示法进行实体对齐

IF 0.8 4区计算机科学

AI Communications Pub Date : 2023-12-12 DOI: 10.3233/aic-220214

Li Feng Ying, Li Jia Peng, Dong Rong Sheng

引用次数: 0

Conception and evaluation of anomaly detection models for monitoring analytical parameters in wastewater treatment plants 监测污水处理厂分析参数的异常检测模型的构思与评估

IF 0.8 4区计算机科学

AI Communications Pub Date : 2023-12-12 DOI: 10.3233/aic-230064

P. Oliveira, M. Salomé Duarte, Paulo Novais

{"title":"Conception and evaluation of anomaly detection models for monitoring analytical parameters in wastewater treatment plants","authors":"P. Oliveira, M. Salomé Duarte, Paulo Novais","doi":"10.3233/aic-230064","DOIUrl":"https://doi.org/10.3233/aic-230064","url":null,"abstract":"The exponential growth of technology in recent decades has led to the emergence of some challenges inherent to this growth. One of these challenges is the enormous amount of data collected by the different sensors in our society, namely in management processes such as Wastewater Treatment Plants (WWTPs). These infrastructures comprise several processes to treat wastewater and discharge clean water in water courses. Therefore, the concentration of pollutants must be below the allowable emissions limits. In this work, anomaly detection models were conceived, tuned and evaluated to monitor essential parameters such as nitrate and ammonia concentrations and pH to improve WWTP management. Four Machine Learning models were considered, particularly Local Outlier Fraction, Isolation Forest, One-Class Support Vector Machines and Long Short-Term Memory-Autoencoders (LSTM-AE), to detect anomalies in the three parameters mentioned. Through the different experiments, it was possible to verify that, in terms of F1-Score, the best candidate model for the three analyzed parameters was LSTM-AE-based, with a value consistently higher than 97%.","PeriodicalId":50835,"journal":{"name":"AI Communications","volume":"53 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139008234","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

GWS: Rotation object detection in aerial remote sensing images based on Gauss–Wasserstein scattering GWS：基于高斯-瓦瑟斯坦散射的航空遥感图像旋转物体检测

IF 0.8 4区计算机科学

AI Communications Pub Date : 2023-12-11 DOI: 10.3233/aic-230135

Ling Gan, Xiaodong Tan, Liuhui Hu

{"title":"GWS: Rotation object detection in aerial remote sensing images based on Gauss–Wasserstein scattering","authors":"Ling Gan, Xiaodong Tan, Liuhui Hu","doi":"10.3233/aic-230135","DOIUrl":"https://doi.org/10.3233/aic-230135","url":null,"abstract":"The majority of existing rotating target detectors inherit the horizontal detection paradigm and design the rotational regression loss based on the inductive paradigm. But the loss design limitation of the inductive paradigm makes these detectors hardly detect effectively tiny targets with high accuracy, particularly for large-aspect-ratio objects. Therefore, in view of the fact that horizontal detection is a special scenario of rotating target detection and based on the relationship between rotational and horizontal detection, we shift from an inductive to a deductive paradigm of design to develop a new regression loss function named Gauss–Wasserstein scattering (GWS). First, the rotating bounding box is transformed into a two-dimensional Gaussian distribution, and then the regression losses between Gaussian distributions are calculated as the Wasserstein scatter; By analyzing the gradient of centroid regression, centroid regression is shown to be able to adjust gradients dynamically based on object characteristics, and small targets requiring high accuracy detection rely on this mechanism, and more importantly, it is further demonstrated that GWS is scale-invariant while possessing an explicit regression logic. The method is performed on a large public remote sensing dataset DOTA and two popular detectors and achieves a large accuracy improvement in both large aspect ratio targets and small targets detection compared to similar methods.","PeriodicalId":50835,"journal":{"name":"AI Communications","volume":"14 2","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138981133","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Semantic segmentation based on enhanced gated pyramid network with lightweight attention module 基于带轻量级注意力模块的增强型门控金字塔网络的语义分割技术

IF 0.8 4区计算机科学

AI Communications Pub Date : 2023-12-06 DOI: 10.3233/aic-220254

A. Viswanathan, V. S. kumar, M. Umamaheswari, V. Janarthanan, M. Jaganathan

{"title":"Semantic segmentation based on enhanced gated pyramid network with lightweight attention module","authors":"A. Viswanathan, V. S. kumar, M. Umamaheswari, V. Janarthanan, M. Jaganathan","doi":"10.3233/aic-220254","DOIUrl":"https://doi.org/10.3233/aic-220254","url":null,"abstract":"Semantic segmentation has made tremendous progress in recent years. The development of large datasets and the regression of convolutional models have enabled effective training of very large semantic model. Nevertheless, higher capacity indicates a higher computational problem, thus preventing real-time operation. Yet, due to the limited annotations, the models may have relied heavily on the available contexts in the training data, resulting in poor generalization to previously unseen scenes. Therefore, to resolve these issues, Enhanced Gated Pyramid network (GPNet) with Lightweight Attention Module (LAM) is proposed in this paper. GPNet is used for semantic feature extraction and GPNet is enhanced by the pre-trained dilated DetNet and Dense Connection Block (DCB). LAM approach is applied to habitually rescale the different feature channels weights. LAM module can increase the accuracy and effectiveness of the proposed methodology. The performance of proposed method is validated using Google Colab environment with different datasets such as Cityscapes, CamVid and ADE20K. The experimental results are compared with various methods like GPNet-ResNet-101 and GPNet-ResNet-50 in terms of IoU, precision, accuracy, F1 score and recall. From the overall analysis cityscapes dataset achieves 94.82% pixel accuracy.","PeriodicalId":50835,"journal":{"name":"AI Communications","volume":"42 21","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138597815","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A logical modeling of the Yōkai board game 阳海棋盘游戏的逻辑建模

IF 0.8 4区计算机科学

AI Communications Pub Date : 2023-11-28 DOI: 10.3233/aic-230050

Jorge Fernandez, Dominique Longin, Emiliano Lorini, Frédéric Maris

引用次数: 0

Multi-objective hyperparameter optimization approach with genetic algorithms towards efficient and environmentally friendly machine learning 采用遗传算法的多目标超参数优化方法，实现高效环保的机器学习

IF 0.8 4区计算机科学

AI Communications Pub Date : 2023-11-23 DOI: 10.3233/aic-230063

André M. Yokoyama, Mariza Ferro, Bruno Schulze

引用次数: 0

On the links between belief merging, the Borda voting method, and the cancellation property 1 论信念合并、Borda投票法与消去性之间的联系

IF 0.8 4区计算机科学

AI Communications Pub Date : 2023-11-17 DOI: 10.3233/aic-220306

Patricia Everaere, Chouaib Fellah, Sébastien Konieczny, Ramón Pino Pérez

引用次数: 0

Constrained incomplete argumentation frameworks: Expressiveness, complexity and enforcement 约束的不完全论证框架:表达性、复杂性和执行力

IF 0.8 4区计算机科学

AI Communications Pub Date : 2023-11-16 DOI: 10.3233/aic-220298

Jean-Guy Mailly

{"title":"Constrained incomplete argumentation frameworks: Expressiveness, complexity and enforcement","authors":"Jean-Guy Mailly","doi":"10.3233/aic-220298","DOIUrl":"https://doi.org/10.3233/aic-220298","url":null,"abstract":"Operations like belief change or merging have been adapted to the context of abstract argumentation. However, these operations may require to express some uncertainty or some disjunction in the result, which is not representable in classical AFs. For this reason, some of these earlier works requirea set of AFs or a set of extensions as the outcome of the operation, somehow to represent a “disjunction” of AFs or extensions. In parallel, the notion of Incomplete AFs (IAFs) has been developed recently. It corresponds to AFs where the existence of some arguments or attacks may be uncertain. Each IAF can be associated with a set of classical AFs called completions, that correspond to different ways of resolving the uncertainty. While these IAFs could be good candidates for a compact representation of a disjunction of AFs, we prove that this model is not expressive enough. Then we introduce Constrained IAFs, that include a propositional formula allowing to select the set of completions used for reasoning. We prove that this model is expressive enough for representing any set of AFs, or any set of extensions. Moreover, we study the complexity of various decision problems related to the verification of extensions and the acceptability of arguments. While some of them are one level higher in the polynomial hierarchy (compared to their counterpart with standard IAFs), most of them have the same complexity than in the case of IAFs. Finally, we show that CIAFs can be used to model a new form of extension enforcement, where the possible evolutions of an AF are taken into account and modeled by the completions of the CIAF.","PeriodicalId":50835,"journal":{"name":"AI Communications","volume":"22 S2","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138495155","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Agents in Traffic and Transportation (ATT 2022): Revised and Extended Papers 交通运输代理(ATT 2022):修订和扩展文件

4区计算机科学

AI Communications Pub Date : 2023-11-14 DOI: 10.3233/aic-239001

Ana L.C. Bazzan, Ivana Dusparic, Marin Lujak, Giuseppe Vizzari

引用次数: 0