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检索条件"任意字段=Conference on Intelligent Computing - Theory and Applications VI"

共 2164 条记录，以下是11-20 订阅

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On the Bitopological Space Associated with a 3-Uniform Semigraph

On the Bitopological Space Associated with a 3-Uniform Semig...

引用

International conference on Mathematics of intelligent computing and Data Science, ICMICDS 2022

作者： Pillai, Asha G. Ramkumar, P.B. Department of Mathematics Center for Topology and Applications Rajagiri School of Engineering and Technology A P J Abdul Kalam Technological University Kerala Thiruvananthapuram India

ISBN: (纸本)9789819615049

A bitopological space on the set of vertices of 3-uniform semigraphs is defined using the outlying neighbourhood Nio of the vertex ′i′ defined as Nio=V−Ci where V is the vertex set and Ci is the set of vertices which are consecutively adjacent to ′i′. Two different topologies on the vertex set V are defined using these neighbourhoods and some properties of this bitopological space are discussed in this paper. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Set theory

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Optimizing Renewable Energy Harvesting with intelligent Control Strategies for DC Microgrid Systems 12th

Optimizing Renewable Energy Harvesting with Intelligent Cont...

引用

12th International conference on Frontiers of intelligent computing: theory and applications, FICTA 2024

作者： Lagudu, Jayavani Satyanarayana, S. Jithendra Gowd, K. Department of Electrical and Electronics Engineering JNTUA Ananthapuramu India Department of Electrical and Electronics Engineering Raghu Institute of Technology Visakhapatnam India

ISBN: (纸本)9789819601424

Optimizing renewable energy harvesting in DC microgrid systems is achieved through the application of intelligent control strategies. By integrating solar photovoltaic (PV) systems, wind energy conversion systems (WECS), and battery storage within a hybrid renewable energy system (HRES), the aim is to boost energy efficiency and sustainability. The use of DC-DC converters is essential for stabilizing and synchronizing the variable DC outputs from solar and wind sources before they are combined into a common DC link. Various control techniques, including Fuzzy Logic Control (FLC) and Perturb and Observe (P&O) for Maximum Power Point Tracking (MPPT), are examined to ensure optimal power extraction from renewable sources. Simulation models developed in MATLAB/Simulink assess the system’s performance under different irradiance and wind velocity conditions, showcasing the effectiveness of intelligent control strategies in maximizing renewable energy utilization. The findings emphasize the significance of intelligent control in improving the efficiency and reliability of DC microgrid systems powered by renewable energy sources. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Solar power generation

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A Study on Ramanujan Graphs

A Study on Ramanujan Graphs

引用

International conference on Mathematics of intelligent computing and Data Science, ICMICDS 2022

作者： Majeed, Miseriya Ramkumar, P.B. Department of Mathematics Rajagiri School of Engineering and Technology A P J Abdul Kalam Technological University Kerala Thiruvananthapuram India Department of Mathematics Center for Topology and Applications Rajagiri School of Engineering and Technology A P J Abdul Kalam Technological University Kerala Thiruvananthapuram India

ISBN: (纸本)9789819615049

The purpose of this is a short survey of the theory of Ramanujan graphs. Ramanujan graphs have considerable importance in view of the fact that they have optimal spectral expansion and hence can be adopted as interconnection networks and error-correcting codes. M. Ram Murti describes in his paper, Ramanujan graphs as it fuses diverse branches of pure mathematics namely number theory, representation theory, and algebraic geometry. We briefly discuss how these are related and how certain Cayley graphs are considered examples of Ramanujan graphs and how their spectrum is analyzed. We also consider some explicit constructions of infinite families of Ramanujan graphs. Also, discuss the circumstance when certain families of become Ramanujan. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Number theory

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Enhancing Digital Forensic Analysis for Locating Missing Persons: Multimodal Data Integration 12th

Enhancing Digital Forensic Analysis for Locating Missing Per...

引用

12th International conference on Frontiers of intelligent computing: theory and applications, FICTA 2024

作者： Alemayehu, Mikiyas Araujo, Istteffanny Isloure Chrysikos, Alexandros Advanced Analytics and Digital Investigation School of Computing and Digital Media London Metropolitan University 166-220 Holloway Rd LondonN7 8DB United Kingdom

ISBN: (纸本)9789819601424

This paper presents a framework for enhancing digital forensics to aid a missing person by integrating multimodal data such as location history, social media analysis, eyewitness testimony, mobile phone, and computer data. This approach focuses on creating comprehensive profiling to speed up the search process. Utilising multimodal data integration offers new avenues for enhancing the effectiveness of the investigation process. Through advanced analytical approaches and ethical considerations, this framework seeks to provide safety to the missing persons and closure to their loved ones and law enforcement. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Aid Eyewitness GPS Location Missing person Positioning Records Social media

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Performance Efficiency of Cloud computing—A Literature Review 12th

Performance Efficiency of Cloud Computing—A Literature Revi...

引用

12th International conference on Frontiers of intelligent computing: theory and applications, FICTA 2024

作者： Cruz, Erice Martin S. Dela Laza, Jarvey I. Rebaca, Nissy Santiago, Cereneo S. Puyo, Johneros P. Cavite State University—Silang Campus Cavite Philippines Philippine Christian University—Dasmarinas Cavite Philippines

ISBN: (纸本)9789819601462

Cloud computing refers to the ability to obtain and use computer services via the Internet. It offers less expensive capital costs, shared resources, widespread network access, reliability, scalability, and performance. This study focuses on understanding how cloud systems handle scalability, as it is one of the obstacles to cloud providers, by conducting an extensive review of the existing literature on cloud computing and synthesizing all of it to gather information about the scalability problems that affect cloud computing performance. In addition, it assesses the scalability of cloud environments under various workloads. Based on the findings of the literature study, this paper identified cloud computing concerns, such as managing traffic, data growth, big data processing, automated scaling control, and unpredictable cloud applications. As data volumes increase, traditional processing techniques struggle to handle massive amounts of data, affecting scalability and dependability. Performance problems like latency, CPU usage, and memory consumption exacerbate these issues. Furthermore, a solution to address the problems is synthesized by implementing load balancing, which distributes incoming traffic among available resources, reducing bottlenecks and improving system responsiveness. Autoscaling, which adjusts resource allocation based on demand fluctuations, offers a more adaptive and cost-efficient solution, particularly in cloud-based systems, by ensuring resources are optimized to meet varying workloads. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Cloud platforms

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CatBoost Algorithm-Based Motivation Assessment Scheme for intelligent Tutor System 12th

CatBoost Algorithm-Based Motivation Assessment Scheme for In...

引用

12th International conference on Frontiers of intelligent computing: theory and applications, FICTA 2024

作者： Sandhya Reddy, P. Lakshmi Lavanya, M.S.S. Raji Reddy, Avala Kishore Kumar, D. Sravanthi, P. Shivakumar, M. CMR Engineering College Telangana Hyderabad India CMR Engineering College Telangana Hyderabad India Department of Mechanical CMR Technical Campus Telangana Hyderabad India Department of MBA CMR Technical Campus Hyderabad India Department of CSE CMR College of Engineering and Technology Telangana Hyderabad India

ISBN: (纸本)9789819601424

Educators have benefited greatly from the intelligent tutoring method. Student characteristics must be taken into account for the tutoring system to become more effective and personalized. One of important student characteristics is motivation. Consequently, a self-efficacy theory-based motivation assessment model was put forth in this study. According to the hypothesis, motivational factors included performance, perseverance, effort, and activity selection. Additionally, each attribute has parameters that were established for time spent, difficulty level, number of right answers, and number of questions skipped. The CatBoost algorithm's advantages were utilized in the model's design to forecast the motivation level of students. The model can determine the degree of motivation of pupils just like a human tutor can in a typical classroom. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Adversarial machine learning

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A Comprehensive Survey of Fake Review Detection Technology 12th

A Comprehensive Survey of Fake Review Detection Technology

引用

12th International conference on Frontiers of intelligent computing: theory and applications, FICTA 2024

作者： Quyyam, Tayybaha Yu, Qicheng Digital Media and Computing London Metropolitan University Holloway Road LondonN7 8DB United Kingdom

ISBN: (纸本)9789819601462

Fake reviews (FR) can damage a company’s reputation and cause consumers to purchase low-value products and services. With the advancement of artificial intelligence, FRD technology and its detection accuracy have improved significantly. To seek state-of-the-art FRD technology, this paper will conduct a systematic literature survey to explore the solutions of scholars working on methods to effectively detect FR, unsolved problems in this field, and future research directions. The survey covered 30 recent research papers between 2019 and 2023. Our findings are categorized as machine learning, deep learning, and hybrid methods to provide researchers and experts with an outlook on proposed solutions and their limitations. The survey also offers future research directions and a straightforward way to find datasets, carry out preprocessing, and extract multiple features. One of the main directions in future is to combine review content with business, product, and reviewer behavior to improve the efficiency of FRD. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Adversarial machine learning

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Micro-PMU Data-Driven Anomalous Voltage Event Detection for the Power Distribution System 12th

Micro-PMU Data-Driven Anomalous Voltage Event Detection for...

引用

12th International conference on Frontiers of intelligent computing: theory and applications, FICTA 2024

作者： Parameswaran, Saththiyan Dey, Maitreyee Patel, Preeti Department of Computer Science and Applied Computing London Metropolitan University 166–220 Holloway Rd. LondonN7 8DB United Kingdom

ISBN: (纸本)9789819601424

As Distributed Energy Resources become more integrated into the power grid, the complexity and scale of challenges faced by grid operators have increased. The integration of micro-synchrophasors (micro-PMUs) into the grid infrastructure has provided access to high-resolution data, yet analyzing such vast amounts of information presents its own set of obstacles. This study examines thirty days of micro-PMU data from April 2023, employing statistical analysis and unsupervised learning techniques to identify various voltage events over time. Real-world data from grid-connected solar farms in Norfolk, England, are utilized to detect and analyze these voltage events, as well as to explore their distinct patterns. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Power grids

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Comparison of Data Encryption Standard (DES) and Advanced Encryption Standard (AES) in Security Issues of Cloud computing: A Literature Review 12th

Comparison of Data Encryption Standard (DES) and Advanced En...

引用

12th International conference on Frontiers of intelligent computing: theory and applications, FICTA 2024

作者： Basco, Jhonna Zelle E. Romualdo, Annielyn F. Saluta, Jefferson A. Santiago, Cereneo S. Marfil, Rowee M. Cavite State University—Silang Campus Cavite Philippines Eulogio "Amang" Rodriguez Institute of Science and Technology Cavite Philippines

ISBN: (纸本)9789819601462

This paper compares the Data Encryption Standard (DES) and the Advanced Encryption Standard (AES) regarding cloud computing security issues. DES and AES, based on their performance in cloud computing, were synthesized. This review contains the common security issues encountered in cloud computing, helping the users to decide what algorithm is the best to use in securing data. A comprehensive analysis of related studies between 2014 and 2023 was done, utilizing reliable databases, including IEEE, Google Scholar, and Science Direct. After a deep screening, 24 articles were selected, considering the scope and gap of the review. The results show that both algorithms are used to protect confidential data by blocking unauthorized individuals from reading or accessing sensitive data. The results provided the claim that resolving the cloud computing issues should consider the availability, responsibility, and especially security, as stated that cloud computing holds confidential and sensitive data. It includes hackers that use different techniques to attack and take advantage of the system, resulting in access without authentication, owing to the difference between vulnerability and attack, and providing AES as more secure compared to DES when implemented and supported by different studies. This study provides a strategic solution for choosing the best algorithm between DES and AES to solve cloud computing security issues. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Cloud security

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Usability of intelligent System in Implementing Tutoring Lesson in Education: A Literature Review 12th

Usability of Intelligent System in Implementing Tutoring Les...

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12th International conference on Frontiers of intelligent computing: theory and applications, FICTA 2024

作者： Septo, Jerome S. Dinopol, Johnrey Reyes, Timothy John M. Delos Santiago, Cereneo S. Cahapin, Erwin L. Cavite State University—Silang Campus Cavite Philippines

ISBN: (纸本)9789819601462

This review explored how intelligent systems are when used in educational settings to assist in tutoring. Their effectiveness, the different methods used, and their limitations were analyzed. A screening of 30 articles was carried out by the researchers, identifying 16 of them between 2018 and 2024. The results show that various technologies, including intelligent tutoring systems (ITSs), Smart MOOC integrated into intelligent Tutoring (SMIT), fuzzy Bayesian intelligent tutoring systems (FB-ITSs), as well as AI tools like ChatGPT and Meta-Tutor, are being utilized. These systems improved personalized learning by providing adaptive and interactive educational environments that can change traditional teaching methods. It was also found that they have significantly improved how engaged students are, how well they do in their studies, and how customized their learning experiences are. However, some crucial drawbacks were identified, such as how AI can’t quite match the subtle, human parts of teaching, like providing emotional support and helping students grow. To address these challenges, it is suggested that future advancements in education. Artificial Intelligence systems should be developed to improve or support human abilities, not necessarily replace them. Considering such matters as confidentiality, fairness, or discrimination in machine learning models is equally significant and fundamental. These systems require an infrastructure that precedes issues related to technology development and values while ensuring equitable participation at different stages of learning. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Adversarial machine learning

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