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Exploring Multi-source Mobile Applications Association Discovery Based on Representation Learning 4th

Exploring Multi-source Mobile Applications Association Disco...

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4th International Conference on Artificial Intelligence Logic and Applications

作者： Luo, Weiqi Zhou, Yixin Zhao, Wenman Li, Weizhuo Nanjing Univ Posts & Telecommun Sch Modern Posts Nanjing 210000 Jiangsu Peoples R China

ISBN: (纸本)9789819603534;9789819603541

With the rapid development of mobile applications, effectively discovering associations between mobile applications has become an important issue. Existing methods for discovering associations among mobile applications are limited to associations within the same application store. Besides, the methods for association discovery are restricted to a single type of representation learning approach, resulting in suboptimal results. To address this problem, this paper explores two mobile application association discovery frameworks based on representation learning for multi-source mobile applications, including iterative framework combining knowledge graph representation methods and network representation models, and entity alignment-based models to mine associations between mobile apps for this task. Experiments indicate that the proposed methods can obtain better performances than existing methods in terms of metrics.

关键词： Mobile Applications Association Discovery Representation Learning Entity Alignment Iterative Learning

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Automated Enhancement of isiZulu Data Collection for the African Health Research Institute 5th

Automated Enhancement of isiZulu Data Collection for the Afr...

引用

5th Southern African Conference for Artificial Intelligence Research

作者： Badenhorst, Jaco Govender, Avashna CSIR Next Generat Enterprises & Inst Cluster Voice Comp Res Grp Pretoria South Africa

ISBN: (纸本)9783031782541;9783031782558

IsiZulu, despite being one of the most widely spoken languages of South Africa, is classified as under-resourced. As a consequence, development in Automatic Speech Recognition (ASR) in these languages is slow. Furthermore, data available for training ASR in isiZulu is currently constrained to domains that comprise mainly of content that are government, biblical or news in nature. This poses limitation to developing ASR systems that are more fit-for-purpose. This paper investigates various methods for improving the accuracy of an isiZulu ASR system that is intended to transcribe audio in a domain that does not exist in the pre-trained model. The experimental results in this work shows promising results when applying adaptation techniques using limited domain-specific data. In addition, the paper presents a semi-automated transcription system that includes speech scoring and human-in-the-loop verification of the output transcriptions. The paper also discusses the challenges of adapting ASR models to domain-specific data and presents the contributions and novelty made to the field from the perspective of handling an under-resourced language.

关键词： Automatic speech recognition Fine-tuning Automatic transcription system Code-switched data

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AWABL-Based Two-Dimensional Representative of Fuzzy Numbers 2nd

AWABL-Based Two-Dimensional Representative of Fuzzy Numbers

引用

2nd International Conference on information Technologies and Their Applications

作者： Nasiboglu, Resmiye Nasibov, Efendi Dokuz Eylul Univ Izmir Turkiye

ISBN: (纸本)9783031734168;9783031734175

Defuzzification methods have an important place in fuzzy logic and fuzzy set theory. There are various defuzzification methods in the literature, such as Center of Gravity (COG), Mean of the Maxima (MOM), Bisector of Area (BOA), Weighted Average Based on Levels (WABL), etc. Normally, the defuzzified value of a fuzzy number gives the average numerical representative of this fuzzy number according to the membership degrees of components. However, the WABL operator, which is a more universal defuzzification operator, carries more information within itself. In this study, the defuzzified value of the fuzzy number is discussed within the framework of a two-dimensional plane. This approach includes information about the defuzzified numerical representative as well as the quality of this representative. New concepts of WABL Area Representative (WABL_AR) and Area Center of Gravity (ACOG) are proposed for fuzzy numbers. The properties of these concepts have been examined theoretically and suitable theorems for triangular fuzzy numbers have been proven. A numerical example is given for calculating the WABL_AR and ACOG values.

关键词： Fuzzy number Defuzzification Weighted Average Based on Levels (WABL) WABL area representative (WABL_AR) Area center of gravity (ACOG)

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Language Technology-based Political Microtargeting Services 10th

Language Technology-based Political Microtargeting Services

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10th International Conference on Technologies and Innovation

作者： Garcia-Diaz, Jose Antonio Marin-Perez, Maris Jose Alcaraz-Marmol, Gema Almela, Angel Minarro-Gimenez, Jose Antonio Garcia-Sanchez, Francisco Univ Murcia Murcia 30003 Spain Univ Castilla La Mancha Ciudad Real 13071 Spain

ISBN: (纸本)9783031757013;9783031757020

In recent times, political behavior, from the act of voting to the participation of citizens in politics, has changed significantly. The proliferation and growth of information and Communication Technologies (ICTs) has provided new and powerful tools to all stakeholders. In particular, social media allow a two-way communication channel between political parties and the electorate. Under these circumstances, accurate segmentation of electoral markets is essential for the development of campaign messages. To enable personalized one-to-one dialogue, it is necessary to characterize each user. However, this poses two major challenges. On the one hand, the degree of subjectivity in the political domain is difficult to determine because a fact can be considered positive or negative depending on the point of view. On the other hand, political polarization and partisanship, which refers to the fact that citizens are strongly biased in favor of certain political parties while strongly disagreeing with others. The goal of this work is to integrate and validate some of the Natural Language Processing (NLP) technologies developed and tested by the participating researchers in previous projects for the deployment and optimization of a commercial software platform for political microtargeting through author and user profiling.

关键词： Natural Language Processing Subjective Language Author Profiling

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Modeling and Optimization of Processes in a Mixed-Use Harbor 5th

Modeling and Optimization of Processes in a Mixed-Use Harbor

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5th 5th Olympus - International Conference on Supply Chain

作者： Dimara, Asimina Papaioannou, Alexios Krinidis, Stelios Anagnostopoulos, Christos-Nikolaos Democritus Univ Thrace DUTh Management Sci & Technol Dept Kavala Greece Univ Aegean UAEGEAN Dept Cultural Technol & Commun Intelligent Syst Lab Mitilini Greece Int Hellen Univ IHU Management Sci & Technol Dept Kavala Greece

ISBN: (纸本)9783031693434;9783031693441

The present research addresses the complicated challenges of modelling and enhancing processes in mixed-use harbors, focusing on Volos, where the convergence of many activities necessitates customized solutions for effective administration. This research initiates a case-specific investigation in response to the changing marine industry landscape, which is represented by the integration of shipping, recreation, and tourism inside the harbor of Volos. Real-world data from the Volos harbor was gathered using a hybrid methodology that blends mathematical modeling and simulation methodologies to inform the dynamic models. Volos is a microcosm that captures the challenges in establishing a balance between tourist,, commercial ships, and recreational boating. The modeling strategy provides a comprehensive representation of processes by taking interactions and possible conflicts into consideration. It is based on well-established harbor models that have been modified for mixed-use areas. In addition, cutting-edge optimization methods were used, considering environmental impact, traffic control, and resource use. Findings, which were obtained in the particular setting of the Volos harbor, show significant gains in resource allocation and operational efficiency, offering important new information for harbor management.

关键词： Mixed-use Harbor Optimization Harbor Process Enhancement Modeling and Simulation Traffic Control Strategies

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Switched Data-Driven Model Based Precise Forecasting of Photovoltaic Energy Generation 5th

Switched Data-Driven Model Based Precise Forecasting of Phot...

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5th International Conference on Neural Computing for Advanced Applications (NCAA)

作者： Yu, Yixuan Peng, Wei Tian, Chenlu Li, Chengdong Shandong Jianzhu Univ Sch Informat & Elect Engn Jinan 250101 Peoples R China

ISBN: (纸本)9789819770038;9789819770045

The photovoltaic microgrids for power systems has witnessed a steady increase over the years. Its principal objective is to schedule the photovoltaic power generation and stored electricity, thereby optimizing the utilization of solar energy. Accurately predicting photovoltaic power generation at each juncture stands as a prerequisite for proficiently managing the electricity scheduling. Most of the existing popular forecasting methods forecasting techniques often prioritize overall prediction performance, neglecting significant prediction errors occurring at peak and valley points. In order to mitigate the challenge posed by significant prediction errors at peak and valley points, this paper proposes a novel switched data-driven model based precise forecasting method. In this method, we first establish a global model, then identify regions with relatively large errors in the predictions of the global model. Subsequently, we train several local models using data from these regions and re-train the global model with the remaining data. Finally, we combine the updated global model with the local models to establish the switched data-driven model. Experimental findings indicate that in comparison to traditional forecasting approaches, the proposed switched data-driven model yields a notable enhancement in prediction accuracy within localized regions, thereby refining the overall model precision, with a minimum reduction of 36% in RMSE and 31% in MAE.

关键词： Fuzzy system Hybrid model Photovoltaic microgrid Electricity generation forecasting

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Comprehensive Evaluation of GAN Architectures for Acute Lymphoblastic Leukemia Classification 5th

Comprehensive Evaluation of GAN Architectures for Acute Lymp...

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5th International Symposium on Intelligent Computing Systems

作者： Jawahar, Malathy Jayashree, N. Raj, Benson Edwin Dhanya, D. CSIR Cent Leather Res Inst Leather Proc Technol Div Chennai Tamil Nadu India Vidyavardhaka Coll Engn Dept MCA Mysuru 570002 Karnataka India Higher Coll Technol Dept Comp Informat Sci Fujairah U Arab Emirates Mar Ephraem Coll Engn & Technol Dept Artificial Intelligence & Data Sci Kanyakumari 629171 India

ISBN: (纸本)9783031829307;9783031829314

Acute Lymphoblastic Leukemia (ALL) is a blood cancer requiring swift, accurate diagnosis for effective treatment. Traditional diagnostic methods rely on the manual examination of microscopic images by experts, which is limited by both availability and speed. Artificial Intelligence (AI) offers a promising alternative for the automated analysis of blood cell images. However, AI model development is hindered by the need for large, annotated datasets, which are often scarce and exhibit a bias (more images of healthy cells than ALL samples). This research proposes the use of data augmentation techniques, specifically Generative Adversarial Networks (GANs), to mitigate these issues. GANs are capable of producing realistic synthetic images of ALL cells, which can enhance the dataset and correct the imbalance. This improvement can lead to the creation of more accurate AI models for ALL diagnosis, potentially improving patient outcomes. The study evaluates three GAN architectures namely SimpleGAN, Wasserstein GAN (WGAN) and Deep Convolutional GAN (DCGAN) for their ability to generate synthetic images of ALL and normal blood cells. The performance is measured by analyzing loss metrics and accuracy rates during training to identify the optimal GAN architecture for this application. Results indicate that DCGAN significantly outperforms both SimpleGAN and WGAN. A higher Peak Signal-to-Noise Ratio (PSNR) value implies that images generated by DCGAN have less noise, and a higher Structural Similarity Index Measure (SSIM) value indicates a better preservation of structural details in the images.

关键词： Acute Lymphoblastic Leukemia (ALL) GAN DCGAN WGAN

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Online Clustering on the Line with θ-th Power Cost Variable Sized Clustering 42nd

Online Clustering on the Line with θ-th Power Cost Variable...

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42nd National Conference on Theoretical computer science

作者： Luo, Rongchuan Yunnan Univ Sch Math & Stat Kunming 650000 Yunnan Peoples R China

ISBN: (纸本)9789819614899;9789819614905

Online clustering is the process of dynamically partitioning a set of points into clusters in a sequential manner, where points arrive one after another and are assigned to clusters upon arrival. We focus on the one-dimensional clustering scenario, where the cost of a cluster is the unit cost of opening cluster 1 plus the theta-th power cost of the cluster diameter. The objective is to minimize the total cost incurred by the algorithm in opening clusters. We investigate both the strict model and the flexible model, both of which maintain two essential properties: points allocated to a given cluster must remain assigned to that cluster, and clusters cannot be merged or split. In the strict model, cluster diameters and precise positions are predetermined during the initialization of clusters. In the flexible model, the algorithm has the flexibility to move or expand clusters, as long as points allocated to a cluster remain assigned to that cluster. This paper introduces the GRID(a) algorithm for the strict model's online problem and the SOSMa algorithm for the semi-online problem, providing proofs of their approximation ratios. For the flexible model's online problem, we present the FGRID(a) algorithm and establish its approximation ratio.

关键词： Online algorithms Competitive analysis Clustering problem

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"Schedule" System for Universities Under the Bologna Education Process 2nd

"Schedule" System for Universities Under the Bologna Educati...

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2nd International Conference on information Technologies and Their Applications

作者： Mammadova, Gulchohra Ismibayli, Reshad Rzayeva, Sona Univ Architecture & Construct Baku Azerbaijan Inst Control Syst Baku Azerbaijan

ISBN: (纸本)9783031734199;9783031734205

The accession of universities to the Bologna education system requires new approaches to the organization of the educational process, including the need to develop a timetable of classes with new criteria. The article provides a comparative analysis of the traditional education system and the education system based on the credit-module system. The Bologna model takes into account an important feature of the credit system, namely, the individual organization of the educational process, which provides students with the opportunity to draw up individual curricula, freely determine the sequence of studying disciplines, independently draw up a personal semester schedule of classes, and select teachers in academic subjects. An approach to scheduling is presented, consisting of two levels: teacher schedules and individual schedules for each student are formed. Each type of schedule has its own "hard" restrictions and "soft" requirements. The developed software is based on dialogue between the user and the system, combining automation of the functions of assigning classes, monitoring restrictions and requirements, and monitoring the process of assigning classrooms, with the ability of the program user to influence the progress of scheduling, including to improve its efficiency. The result of the program is two schedules: individual schedules of teachers and all subgroups, including students enrolled in them, meeting all the "hard" restrictions and, to the maximum extent possible, "soft" requirements for the class schedule.

关键词： Bologna process class schedule credit system asynchronous learning system restrictions and requirements for the schedule interactive mode

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A Mathematical Model for a Realistic Course Scheduling at Universities 1

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4th International Conference on Advanced Research in Technologies information Innovation and Sustainability-ARTIIS-Annual

作者： Vidal, Nicolas Hernandez, Felipe Morillo-Torres, Daniel Gatica, Gustavo Pontificia Univ Javeriana Cali Dept Civil & Ind Engn Fac Engn Cali Colombia Univ Andres Bello Fac Engn Santiago Chile

ISBN: (数字)9783031832079

ISBN: (纸本)9783031832062;9783031832079

Timetabling is a combinatorial and challenging problem in different fields where it is required to allocate scarce resources. One of the main variants is the University Course Timetabling Problem (UCTP), where courses must take a location and the academic sessions must be distributed avoiding overlapping schedules or preference conflicts. Despite the high complexity of its solution, it is increasingly necessary to include more realistic characteristics and formulate efficient models. In this paper, new realistic features focused on the development of student's curriculum are included and a mixed-integer linear programming model is proposed to address this problem. The model's objective is to maximize all teacher's preferences and reduce the overlaps between courses that can be viewed either in advance or delayed. The proposed model was validated in the timetabling in the Industrial Engineering Program at the Pontificia Universidad Javeriana Cali, Colombia. The results show an increase of 47.7% regarding the preferences of the professors, as well as a reduction of 99.37% of the time associated with the semester scheduling process and currently, the perception of students is being assessed as they progress through the semesters, with preliminary results indicating an increase in satisfaction.

关键词： University Course Timetabling Problem Scheduling Mathematical Model

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