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检索条件"任意字段=2023 IEEE Asia-Pacific Conference on Computer Science and Data Engineering, CSDE 2023"

共 1092 条记录，以下是21-30 订阅

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Predicting Heart Disease based on Patient History using Machine Learning Techniques

Predicting Heart Disease based on Patient History using Mach...

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2023 ieee asia-pacific conference on computer science and data engineering, csde 2023

作者： Chand, Sheenal Shalini Naidu, Anish Kumar, Kunal The University of Fiji Department of Computer Science and Mathematics Saweni Campus Fiji

ISBN: (纸本)9798350341072

In this information age, more and more data are being produced every day from different sectors. Healthcare is no exception where huge amounts of data is being produced daily. However, this data is not effective. As the phrase goes 'data is the new oil', it is important to acknowledge the importance of data and how it can make work easier for professionals across fields. For the healthcare sector, the various data that are collected can be used to extract knowledge to make diagnosis of certain diseases easier. One such disease which can be predicted is the heart disease which is becoming a top killer amongst the populations across the world. This paper will investigate how machine learning (ML) algorithms can be used to predict heart diseases using heart disease data and will compare the 3 machine learning algorithms - decision tree, naive bayes, and random forest to determine the most accurate model for predicting this deadly condition. © 2023 ieee.

关键词： Diseases

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Metaverse Interview Room Creation With Virtual Interviewer Generation Using Diffusion Model

Metaverse Interview Room Creation With Virtual Interviewer G...

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2023 ieee asia-pacific conference on computer science and data engineering, csde 2023

作者： Si, Jongwook Yang, Seongeun Kim, Daemin Kim, Sungyoung Kumoh National Institute of Technology Dept. Computer Ai Convergence Engineering Gumi Korea Republic of Kumoh National Institute of Technology Dept. Computer Engineering Gumi Korea Republic of

ISBN: (纸本)9798350341072

Virtual interviews are an effective way to respond quickly to the changing trends of our time and adapt flexibly to the hiring processes of various organizations. Through this method, applicants have the opportunity to practice their interview skills and receive feedback, greatly aiding their job preparation. Additionally, experiencing a virtual interview environment that is similar to an actual one enables them to adapt more easily to a variety of new interview situations. This paper delves deeply into the virtual interview environment implemented by combining cutting-edge metaverse technology and generative AI. Specifically, it focuses on creating an environment utilizing realistic Diffusion models to generate interviewers, enabling the provision of scenarios that are similar to actual interviews. © 2023 ieee.

关键词： Virtual reality

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Supply Chain Optimization in Cement Industry Using Blockchain Technology

Supply Chain Optimization in Cement Industry Using Blockchai...

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2023 ieee asia-pacific conference on computer science and data engineering, csde 2023

作者： Hamood, Rabeya Makhdoom, Imran Iqbal, Waseem Jamil, Tariq National University of Sciences and Technology Department of Information Security Islamabad44000 Pakistan Sultan Qaboos University Department of Electrical and Computer Engineering AlKhod Muscat123 Oman

ISBN: (纸本)9798350341072

The ubiquitous use of Internet of Things devices in supply chain management has facilitated manufacturers and other stakeholders to monitor various aspects of the product or shipment. However, conventional solutions have numerous challenges ranging from data integrity, product provenance, and trust issues to scalability problems. This research demonstrates how scalability and provenance of cement bags can be ensured through a combination of blockchain technology and the Internet of Things devices. The distributed ledger securely records each step, from acquiring raw materials to delivering the finished product. The inherent transparency of blockchain technology promotes confidence among all the stakeholders in the supply chain and makes it easier to comply with legal requirements. The security and performance analysis determines that the proposed solution is secure and efficient with minimal performance overheads. © 2023 ieee.

关键词： Blockchain

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A PSO Based Method to Generate Actionable Counterfactuals for High Dimensional data

A PSO Based Method to Generate Actionable Counterfactuals fo...

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2023 ieee asia-pacific conference on computer science and data engineering, csde 2023

作者： Shekhar, Shashank Salim, Asif Jinturkar, Vivaswan Nayak, Anirudha Bansode, Adesh Subex Ltd Bengaluru India

ISBN: (纸本)9798350341072

Counterfactual explanations (CFE) are methods that explain a machine learning model by giving an alternate class prediction of a data point with some minimal changes in its features. It helps the users to identify their data attributes that caused an undesirable prediction like a loan or credit card rejection. We describe an efficient, and an actionable counterfactual (CF) generation method based on particle swarm optimization (PSO). We propose a simple objective function for the optimization of instance-centric CF generation problem. The PSO brings in a lot of flexibility in terms of carrying out multi-objective optimization in large dimensions, capability for multiple CF generation, and setting box constraints or immutability of data attributes. An algorithm is proposed that incorporates these features and it enables greater control over the proximity and sparsity properties over the generated CFs. The proposed algorithm is evaluated with a set of action-ability metrics in real-world datasets, and the results were superior compared to that of the state-of-the-arts. © 2023 ieee.

关键词： Multiobjective optimization

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Decentralized Identifiers Using Distributed Ledger Technologies

Decentralized Identifiers Using Distributed Ledger Technolog...

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2023 ieee asia-pacific conference on computer science and data engineering, csde 2023

作者： Alizadeh, Morteza Andersson, Karl Schelén, Olov Luleå University of Technology Department of Computer Science Electrical and Space Engineering Skellefteå Sweden Luleå University of Technology Department of Computer Science Electrical and Space Engineering Luleå Sweden

ISBN: (纸本)9798350341072

Decentralized identification is an interesting topic for Internet-based systems. Although the use of centralized systems for identification is prevalent, there is still a need for decentralized identification systems that do not rely on a centralized entity. We propose using Distributed Ledger Technology (DLT) to fulfill the needs. Although DLT and Distributed Hash Table (DHT) can be used as technologies in Decentralized Identifiers (DIDs), immutability and the growth of transactions are still challenging. This paper investigates DIDs under the W3C standard and DLT-based technology as one of the solutions for verifiable data registries in DIDs. We evaluate our proposed solution by comparing three models wrt. query time for verifiable data registries. Our proposed architecture for data registry achieves better query time by concealing old transactions from the main DLT. © 2023 ieee.

关键词： Distributed ledger

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Extending and Evaluating Usability Heuristics for Educational Website in Fiji

Extending and Evaluating Usability Heuristics for Educationa...

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2023 ieee asia-pacific conference on computer science and data engineering, csde 2023

作者： Sami, Monesh Devi, Pritika Ali, A. B. M. Shawkat Kumar, Anal Fiji National University Department of Computer Science and Information Systems Nadi Fiji Fiji National University Department of Office Administration/Library and Information System Nadi Fiji School of Science and Technology The University of Fiji Saweni Fiji

ISBN: (纸本)9798350341072

Learning Management Systems (LMS) has recently gained a lot of popularity as an effective tool for improving education while promoting distance and flexible learning in Fiji. eLearning platforms should be able to possess usability features, including user-friendliness, ease of use and satisfaction of user requirements. With the diverse number of universities and courses globally, LMS websites created revolutionary changes in the educational sector. With these innovations, it is vital to ensure the effectiveness of educational sites by evaluating the usability interfaces, as there is minimal study on the effectiveness of websites, especially for LMS. This research intends to fill this gap by extending and evaluating the usability heuristics of educational website interfaces for better detection of usability problems, simultaneously running a survey to determine Moodle usage on different devices among different users in Fiji. © 2023 ieee.

关键词： Human computer interaction

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Leveraging a Randomized Key Matrix to Enhance the Security of Symmetric Substitution Ciphers

Leveraging a Randomized Key Matrix to Enhance the Security o...

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2023 ieee asia-pacific conference on computer science and data engineering, csde 2023

作者： Gandhi, Shubham Khare, Om Dravid, Mihika Sanghvi, Mihika Mane, Sunil Gajaralwar, Aadesh Gandhi, Saloni Coep Technological University Department of Computer Science and Engineering India BRACT's Vishwakarma Institute of Information Technology Department of Computer Engineering Maharashtra Pune India

ISBN: (纸本)9798350341072

An innovative strategy to enhance the security of symmetric substitution ciphers is presented, through the implementation of a randomized key matrix suitable for various file formats, including but not limited to binary and text files. Despite their historical relevance, symmetric substitution ciphers have been limited by vulnerabilities to cryptanalytic methods like frequency analysis and known plaintext attacks. The aim of our research is to mitigate these vulnerabilities by employing a polyalphabetic substitution strategy that incorporates a distinct randomized key matrix. This matrix plays a pivotal role in generating a unique random key, comprising characters, encompassing both uppercase and lowercase letters, numeric, and special characters, to derive the corresponding ciphertext. The effectiveness of the proposed methodology in enhancing the security of conventional substitution methods for file encryption and decryption is supported by comprehensive testing and analysis, which encompass computational speed, frequency analysis, keyspace examination, Kasiski test, entropy analysis, and the utilization of a large language model. © 2023 ieee.

关键词： Cryptography

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Exploring the Synergy: Raspberry Pi, ARM Assembly, Interfacing, and AI in computer Architecture Course

Exploring the Synergy: Raspberry Pi, ARM Assembly, Interfaci...

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2023 ieee asia-pacific conference on computer science and data engineering, csde 2023

作者： Gerousis, Costa McCloud, Joshua Christopher Newport University Department of Physics Computer Science and Engineering Newport NewsVA United States

ISBN: (纸本)9798350341072

In recent years, computer architecture instruction has undergone significant transformation, moving away from a primarily theoretical approach, and placing greater emphasis on practical, hands-on learning. Leading this shift is the Raspberry Pi (RaPi), a credit card-sized computer powered by the versatile Broadcom BCM2835 system-on-a-chip (SoC). RaPi offers an open-source operating system, an extensive software library, and abundant online documentation, creating an ideal environment for dynamic and experiential learning. This paper features the successful integration of RaPi into the computer architecture curriculum at CNU, with a primary focus on hands-on labs. These labs cover diverse topics, including RaPi setup and connectivity, low-level programming, Python-based sensor interfacing, and AI-driven image processing for object detection and recognition. The paper provides valuable insights for educators looking to incorporate this single-board computer into their teaching methods, highlighting its multifaceted applications in AI and computer architecture to enhance students' learning experience. © 2023 ieee.

关键词： Internet of things

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CSS: An Android Application for Solving the CPU Process Scheduling Problems

CSS: An Android Application for Solving the CPU Process Sche...

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2023 ieee asia-pacific conference on computer science and data engineering, csde 2023

作者： Alzahrani, Mona Albinali, Mona Alotaibi, Saliyah Kfupm Information and Computer Science Department Dhahran Saudi Arabia College of Computer and Information Sciences Jouf University Sakaka Saudi Arabia College of Computer Science and Information Technology Imam Abdulrahman Bin Faisal University Dammam Saudi Arabia

ISBN: (纸本)9798350341072

There are many existing applications for solving CPU scheduling problems. However, these applications are suffering from some defects such as they didn't cover all the scheduling algorithms, didn't cover preemptive and non-preemptive scheduling, and most importantly, they are missing some calculations. In this work, we proposed CPU Scheduling Solver (CSS), an android application that targets the students to help them solve any CPU scheduling problem using the existing scheduling algorithms: First Come First Served (FCFS), non-preemptive Shortest Job First (SJF), preemptive SJF, and Round Robin (RR). The evaluation of the CSS application performance proves that the proposed application works effectively by computing the evaluation metrics for any solving algorithm;then draw its Gantt chart correctly. The CSS application is available in https://***/store/apps/details?id=***&pcampaignid=web-share © 2023 ieee.

关键词： Scheduling algorithms

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Enhancing Multi-Class Text Classification with BERT-Based Models

Enhancing Multi-Class Text Classification with BERT-Based Mo...

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2023 ieee asia-pacific conference on computer science and data engineering, csde 2023

作者： Wu, Haojia Ye, Xinfeng Manoharan, Sathiamoorthy School of Computer Science The University of Auckland Auckland New Zealand

ISBN: (纸本)9798350341072

Document classification serves a diverse range of practical applications, significantly enhancing various processes. For instance, it can expedite the identification of categories assigned to research reports submitted by students. By subsequently aligning these categories with the particular interests of university staff members, the reports can then be evaluated by those who possess the most relevant expertise. In this paper, we developed and evaluated several models for carrying out multi-label and multi-class text classification. Our approach revolves around the pre-trained BERT models. We endeavour to augment the efficacy of classification by leveraging latent information drawn from the output and hidden layers of the BERT architecture. We seek to achieve good accuracy and F1 score of the classification process. Our model utilizing the attention mechanism and LSTM to process information generated by BERT outperforms all other models based on our evaluation. © 2023 ieee.

关键词： Classification (of information)

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