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检索条件"机构=Information Systems Engineering Program"
894 条 记 录,以下是81-90 订阅
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Framework for Improving Authenticity and Traceability in Educational Institution Evaluations in Perú Based on a Blockchain Architecture
Framework for Improving Authenticity and Traceability in Edu...
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Electrical, Computer and Energy Technologies (ICECET), International Conference on
作者: Rodrigo Silva José De la cruz Lenis Wong Information Systems Engineering Program Universidad Peruana de Ciencias Aplicadas Lima Perú
During emergencies like COVID-19, maintaining educational quality involves integrating non-specialized online. Therefore, a framework is proposed to improve the authenticity and traceability in the assignation of grad...
来源: 评论
The Practical Model DAM for Analyzing Data Lake Architectures in a Financial Institution in Peru
The Practical Model DAM for Analyzing Data Lake Architecture...
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Electrical, Computer and Energy Technologies (ICECET), International Conference on
作者: Cristhian Zaña Ramirez Sergio Benancio Mauricio Lenis Wong Information Systems Engineering Program Universidad Peruana de Ciencias Aplicadas Lima Perú
As the volume of data generated in the financial sector continues to grow organizations are challenged to effectively manage this vast amount of information. However, the implementation of a technological solution, es...
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TOOL For Predicting Plans and Improving Solid Waste Management by Applying Time Series and AWS
TOOL For Predicting Plans and Improving Solid Waste Manageme...
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Electrical, Computer and Energy Technologies (ICECET), International Conference on
作者: Limber Jaimes Yudit Garriazo Jymmy Dextre Information Systems Engineering Program Universidad Peruana de Ciencias Aplicadas Lima Perú
Currently, the constant population growth in Peru leads to the generation of large amounts of solid waste, most of these originate from domestic sources and are collected by municipalities. The inefficiency in solid w...
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Approach for Personalized Recommendations to Enhance Customer Service Process in Peruvian Restaurants using OpenAI Contextual Chatbot
Approach for Personalized Recommendations to Enhance Custome...
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IEEE International Congress on Electronics, Electrical engineering and Computing (INTERCON)
作者: Fabiola Cieza Romero Sebastian Pajes León Lenis Wong Information Systems Engineering Program Universidad Peruana de Ciencias Aplicadas Lima Peru
In the current digital era, efficiently accessing relevant information is crucial for various applications such as restaurant recommendation systems, website searches, book recommendations, among others. This study pr...
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Audit model using controls from ISO/IEC 27002 for the information security of electronic voting based on IoT and Blockchain
Audit model using controls from ISO/IEC 27002 for the inform...
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Advanced Learning Technologies on Education & Research (ICALTER), IEEE International Conference on
作者: Edson Paredes Marco Mendez Jymmy Dextre Information Systems Engineering Program Universidad Peruana de Ciencias Aplicadas Lima Perú
In recent years, significant progress has been made in the integration of technologies in voting systems with the aim of improving the transparency of the process. This study proposes an audit model based on the ISO/I...
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Implementing NIST CSF and CIS CSC in Gas Industry: A Model's Effectiveness and Acceptance Analysis
Implementing NIST CSF and CIS CSC in Gas Industry: A Model's...
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Electrical, Computer and Energy Technologies (ICECET), International Conference on
作者: Roberto Villarreal Flavio Alarcón Luis Torrejón Information Systems Engineering Program Universidad Peruana de Ciencias Aplicadas Lima Perú
During 2020, the pandemic intensified global cyberattacks, increasing by 50% in 2021. Since 2022, the war in Ukraine has exacerbated this situation, particularly in the oil and gas industry. This sector, considered cr...
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Proposing a Low-Rank Approximation Method with Mathematical Guarantees for High-Dimensional Tensor Data
Proposing a Low-Rank Approximation Method with Mathematical ...
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2024 IEEE International Conference on Big Data, BigData 2024
作者: Hasegawa, Hiroki Yata, Kazuyoshi Okada, Yukihiko Kunimatsu, Jun University of Tsukuba Program in Service Engineering Tsukuba Japan Sciences University of Tsukuba Institute of Pure and Applied Tsukuba Japan University of Tsukuba Institute of Systems and Information Engineering Tsukuba Institute for Advanced Research Center for Artificial Intelligence Research Tsukuba Japan University of Tsukuba Institute of Medicine Tsukuba Japan
The analysis of high-dimensional tensor data presents significant challenges for traditional methods such as CANDECOMP/PARAFAC (CP) decomposition and Higher-Order Singular Value Decomposition (HOSVD) due to the size, ... 详细信息
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Involution symmetry quantification using recurrences
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Physical Review E 2024年 第2期110卷 024203-024203页
作者: Gabriel Marghoti Thiago de Lima Prado Sergio Roberto Lopes Yoshito Hirata Physics Department Degree Program in Computer Science Interdisciplinary Center for Science Technology and Innovation CICTI Departament of Physics - Telegraphenberg 14473 Potsdam Germany Institute of Systems and Information Engineering
Symmetries are ubiquitous in science, aiding theoretical comprehension by discerning patterns in mathematical models and natural phenomena. This work introduces a method for assessing the extent of symmetry within a t... 详细信息
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Action Robust Reinforcement Learning with Highly Expressive Policy
Action Robust Reinforcement Learning with Highly Expressive ...
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IEEE International Conference on systems, Man and Cybernetics
作者: SeongIn Kim Takeshi Shibuya Doctor's Program in Intelligent and Mechanical Interaction Systems University of Tsukuba Ibaraki Japan Faculty of Engineering Information and Systems University of Tsukuba Ibaraki Japan
In traditional reinforcement learning, there can be a degradation in the control performance of the policy when the environmental parameters differ between the training and application phase. The policy that minimizes... 详细信息
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Explainable Reinforcement Learning via Causal Model Considering Agent's Intention
Explainable Reinforcement Learning via Causal Model Consider...
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IEEE International Conference on systems, Man and Cybernetics
作者: SeongIn Kim Takeshi Shibuya Doctor's Program in Intelligent and Mechanical Interaction Systems University of Tsukuba Ibaraki Japan Faculty of Engineering Information and Systems University of Tsukuba Ibaraki Japan
Explaining agent's decision can offer valuable insights for designers and end-users. One proposed method for explaining an agent's decision-making involves representing a causal relation between state componen... 详细信息
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