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Job Resumes Recommendation using Integration of Fuzzy Discernibility Matrix Feature Selection and Convolutional Neural Network Multi-label Text Classification

Informatica (Slovenia)

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Informatica (Slovenia) 2025年第13期49卷 49-58页

作者： Hayami, Regiolina Yusoff, Nooraini Daud, Kauthar Mohd Fatma, Yulia Department of Informatics Engineering Faculty Computer Science Universitas Muhammadiyah Riau Indonesia Faculty of Data Science and Computing Universiti Malaysia Kelantan 16100 Malaysia Center for Artificial Intelligence Technology Faculty of Information Science and Technology Universiti Kebangsaan Malaysia 43600 Malaysia

The manual analysis of job resumes poses specific challenges, including the time-intensive process and the high likelihood of human error, emphasizing the need for automation in content-based recommendations. Recent advancements in deep learning, particularly Convolutional Neural Networks (CNN) for Multi-label Text Classification (MLTC), offer a promising solution for addressing these challenges through artificial intelligence. While CNN is renowned for its robust feature extraction capabilities, it faces specific challenges such as managing high-dimensional data and poor data interpretability. To address these limitations, this study employs the Fuzzy Discernibility Matrix (FDM) feature selection technique to determine the relevance of skills for each job vacancy. FDM assigns weights to the features of each job category and ranks their relevance based on the highest scores, which are then utilized in the MLTC CNN model. The integration of FDM and MLTC CNN serves as the foundation for generating content-based recommendations derived from key features in job resumes. This study produces a content-based job recommendation system that displays the top three job categories, accompanied by explanations of the skills supporting each selected category. These recommendations also consider cosine similarity values between analyzed items and the integrated results of FDM and MLTC CNN. The application of FDM for feature weighting has been proven to enhance multi-label text classification outcomes by providing better insights during the feature selection process. With a recall of 97.26%, precision of 94.81%, and accuracy of 98.58%, the MLTC model integrating FDM feature selection and CNN demonstrates robust performance characteristics in content-based job recommendation tasks. © 2025 Slovene Society Informatika. All rights reserved.

关键词： Convolutional neural networks

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The Digital Twin City in Enhancing Flood Evacuation Systems: Future Opportunities and Challenges

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IEEE Access 2025年 13卷 32371-32383页

作者： Setijadi Prihatmanto, Ary Prasetyadi, Abdurrakhman Yoganingrum, Ambar Sutriadi, Ridwan Hadiana, Ana Bandung Institute of Technology School of Electrical and Informatics Engineering Bandung40132 Indonesia National Research and Innovation Agency Research Center for Data and Information Science Bandung40231 Indonesia Bandung Institute of Technology School of Architecture Planning and Policy Development Bandung40132 Indonesia

In recent decades, the increasing frequency and severity of natural disasters have necessitated the development of more effective disaster management systems. This paper explores the potential of digital twin technology to enhance flood evacuation systems. A digital twin-city model can simulate urban environments, predict flood inundation, and identify optimal evacuation routes in real-time. The study conducts a systematic literature review to assess current advancements, evaluating the integration of 3D city models, artificial intelligence, and Internet of things sensors in flood evacuation planning. Results indicate that digital twin technology significantly improves predictive capabilities and evacuation efficiency, although data integration, model accuracy, and computational demands remain. Future research should focus on enhancing data integration, refining simulation models, improving predictive analytics, developing advanced visualization tools, and validating models across diverse environments to ensure reliability and effectiveness. © 2025 The Authors.

关键词： Digital elevation model

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MatrikalinDiabetes: User-centered Design of a mHealth App for Gestational Diabetes Mellitus Management and Education Among Bangladeshi Women 26th

MatrikalinDiabetes: User-Centered Design of a mHealth App ...

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26th International Conference on Human-Computer Interaction, HCII 2024

作者： Ratul, Mohammad Arshad Hossain Yanoor Bristy, Tunisha Sayeed, Noorjahan Islam, Ashraful Chaudhry, Beenish Moalla Center for Computational and Data Sciences Independent University Bangladesh Dhaka Bangladesh Department of Computer Science and Engineering Independent University Bangladesh Dhaka Bangladesh School of Computing and Informatics University of Louisiana at Lafayette Louisiana United States

ISBN: (纸本)9783031768088

This study employs the User-centered Design (UCD) methodology to develop a mobile health (mHealth) application (app) specifically tailored for Bangladeshi women with Gestational Diabetes Mellitus (GDM). GDM affects approximately 10% of pregnant women globally and around 35% within Bangladesh, as reported by the World Health Organization (WHO). Despite its high prevalence, there is a significant lack of awareness and education about GDM in Bangladesh, compounded by language barriers that make existing digital solutions less accessible. The MatrikalinDiabetes mHealth app aims to overcome these barriers by providing comprehensive management and educational resources for GDM in the Bangla language, addressing both pre-pregnancy and post-pregnancy needs. To ensure the app meets the actual needs of potential users, personas were created based on a literature review, and a survey was conducted. This process informed the development of both a low-fidelity, paper-based prototype and a high-fidelity digital prototype. Key features of the MatrikalinDiabetes app include tracking of food and water intake, physical activity monitoring, reminders, GDM education, chat forums for community support, blood glucose level (BGL) monitoring, an SOS button for emergency contacts, and quizzes for user engagement. Preliminary feedback indicated that 53.8% of participants favored the integrated features and expressed willingness to use and recommend the app. The survey of the high-fidelity prototype yielded positive responses, with 57.9% of participants strongly agreeing and 42.1% agreeing that the features were beneficial. The user-friendly design of the high-fidelity prototype ensures intuitive interaction, aiding in health management, enhancing GDM understanding, and promoting a healthier lifestyle among pregnant women in Bangladesh. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Obstetrics

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Fair Selection of Clearing Schemes for Kidney Exchange Markets 17th

Fair Selection of Clearing Schemes for Kidney Exchange Mar...

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17th International Conference on Combinatorial Optimization and Applications, COCOA 2024

作者： Barish, Robert D. Shibuya, Tetsuo Division of Medical Data Informatics Human Genome Center Institute of Medical Science University of Tokyo 4-6-1 Shirokanedai Tokyo Minato-ku108-8639 Japan

ISBN: (纸本)9789819644476

For the Kidney Exchange Problem (KEP), one has a barter exchange market represented by a digraph with vertices corresponding to either immunologically incompatible donor-acceptor pairs, non-directed donors, cadavers, or unpaired recipients, and directed edges corresponding to possible kidney exchanges. The objective is then to solve the associated clearing problem of finding an above threshold weight partition of the network into vertex-disjoint transplant cycles and/or paths. In this work – with a primary motivation being the broad applicability of the KEP model to barter exchange markets of indivisible goods – we conduct a theoretical investigation of the problem of uniformly, and in this sense "fairly", sampling witnesses for a formalization of the KEP we denote KEP-Lc,Lp,Υ, where we have cycle and path vertex-wise length constraints Lc and Lp, respectively, and where we require that the sum of all edge weights in a partition is at least Υ∈N0. Here, for KEP-∞,∞,0, we provide an O4g·n4·m time uniform sampling scheme (assuming access to an idealized coin flipping oracle) for networks on n vertices and m edges admitting bimodal embeddings (i.e., embeddings where each set of edges oriented away from a given vertex occur contiguously in a rotational ordering of edges incident to the vertex) on genus ≤g surfaces, as well as a Fully Polynomial-time Almost Uniform Sampling (FPAUS) scheme for arbitrary genus digraphs. Subsequently, taking inspiration from recent rapid experimental advances in using boson sampling (respectively, Guassian boson sampling) to approximate the permanents (respectively, hafnians) of complex matrices, we reduce the uniform sampling problem for KEP-Lc,Lp,Υ to calculating permanents of hollow Hermitian {-1,0,1} matrices. However, we also moderate this latter finding by showing that no Fully Polynomial-time Randomized Approximation Scheme (FPRAS) for the permanent of such matrices unless NP=RP. © The Author(s), under exclusive license to Springer Na

关键词： Polynomial approximation

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High-Density Lipoproteins Associate with Age-Related Macular Degeneration in the All of Us Research Program

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Ophthalmology 2025年第6期132卷 684-691页

作者： Chen, Jimmy S. Esko, Jeffrey D. Walker, Evan Gordts, Philip L.S.M. Baxter, Sally L. Toomey, Christopher B. Division of Ophthalmology Informatics and Data Science Viterbi Family Department of Ophthalmology and Shiley Eye Institute University of California San Diego La Jolla California United States Glycobiology Research and Training Center University of California San Diego La Jolla California United States Division of Biomedical Informatics Department of Medicine University of California San Diego La Jolla California United States

Purpose: Extracellular lipoprotein aggregation is a critical event in age-related macular degeneration (AMD) pathogenesis. In this study, we sought to analyze associations between clinical and genetic-based factors related to lipoprotein metabolism and risk for AMD in the All of Us research program. Design: Cross-sectional retrospective data analysis. Participants: A total of 5028 healthy participants and 2328 patients with AMD from All of Us. Methods: Participants with and without AMD were age, race, and sex matched in a 1:2 ratio, respectively. Smoking status, history of hyperlipidemia, and statin use were extracted in a binary manner. Statin use was further subcategorized into hepatically versus nonhepatically metabolized statins. Laboratory values for low-density lipoprotein (LDL), high-density lipoprotein (HDL), and triglycerides (TGs) were also extracted, and outliers were excluded from analysis. The PLINK toolkit was used to extract single nucleotide polymorphisms (SNPs) associated with LDL and HDL dysregulation, as published in prior work. Odds ratio curves were computed to assess the risk between LDL, TG, and HDL versus AMD. All clinical and genetic variables were input into a multivariable logistic regression model, and odds ratios and P values were generated. Main Outcome Measures: Statistical significance of risk factors for AMD, thresholded at P ≤ 0.05. Results: On multivariable regression analysis, statin use and low and high HDL were significantly associated with increased AMD risk (P < 0.001 for all variables). Additionally, the multivariable regression implicated HDL-associated SNP's increased risk for AMD. Last, LPA was identified (P = 0.007) as a novel SNP associated with increased AMD risk. Conclusions: There exists a U-shaped relationship between HDL and AMD risk, such that high and low HDL are significantly associated with increased AMD risk. Additionally, SNPs associated with HDL metabolism are associated with AMD risk. This analysis further e

关键词： Drusen HDL LDL Single nucleotide polymorphism TG

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Association Between Periprocedural Anticoagulation in Ventricular Tachycardia Ablation and Postprocedural Stroke and Intracranial Hemorrhage

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JACC: Asia 2025年第4期5卷 595-598页

作者： Makimoto, Hisaki Yamana, Hayato Isogai, Toshiaki Matsui, Hiroki Fushimi, Kiyohide Yasunaga, Hideo Kohro, Takahide Data Science Center Jichi Medical University Shimotsuke Japan Cardiovascular Center Jichi Medical University Shimotsuke Japan Department of Clinical Epidemiology and Health Economics School of Public Health The University of Tokyo Tokyo Japan Department of Health Services Research of Medicine The University of Tokyo Tokyo Japan Department of Cardiology Tokyo Metropolitan Tama Medical Center Tokyo Japan Department of Health Policy and Informatics of Medical and Dental Sciences Institute of Science Tokyo Tokyo Japan

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LP-Gaussians: Learnable Parametric Gaussian Splatting for Efficient Dynamic Reconstruction of Single-View Scenes

LP-Gaussians: Learnable Parametric Gaussian Splatting for Ef...

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2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025

作者： Wu, Shaoqi Xie, Weixing Peng, Youhong Li, Jinwen Yao, Jiawei Yao, Junfeng Center for Digital Media Computing School of Film School of Informatics Xiamen University China National Institute for Data Science in Health and Medicine Xiamen University China Key Laboratory of Digital Protection and Intelligent Processing of Intangible Cultural Heritage of Fujian and Taiwan Ministry of Culture and Tourism Taiwan

ISBN: (纸本)9798350368741

With the popularity of short video platforms, the number of single-view videos has increased significantly. Existing NeRF-based methods can reconstruct dynamic scenes in a single-view setting, but slow rendering speed and low rendering quality limit their practical applications. To address these challenges, we propose a fast single-view scenes reconstruction framework based on 3D Gaussian Splatting. Our method uses point clouds obtained with depth priors as the Gaussian initialization and introduces learnable parametric functions to model the time-dependent deformation of Gaussians. The explicit deformation modeling for Gaussians significantly reduces training and rendering time. Furthermore, to improve the rendering quality of challenging areas, we adopt an adaptive sampling strategy to densify Gaussians. For occlusion problems from single-view videos, we design a smooth loss function to restore the color of the occluded areas. Experimental results demonstrate that our method significantly reduces training time, enhances rendering quality, and accelerates rendering speed. Project page: https://***/LPGaussians. © 2025 IEEE.

关键词： 3D Gaussian Splatting Dynamic Scene Reconstruction Single-view Reconstruction

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AMIDER: A Multidisciplinary Research database and Its Application to Promote Open science

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data science Journal 2025年 24卷

作者： Kozai, Masayoshi Tanaka, Yoshimasa Abe, Shuji Minamiyama, Yasuyuki Shinbori, Atsuki Kadokura, Akira Polar Environment Data Science Center Joint Support-Center for Data Science Research Research Organization of Information and Systems Tachikawa Japan National Institute of Polar Research Research Organization of Information and Systems Tachikawa Japan Graduate Institute for Advanced Studies SOKENDAI Tachikawa Japan International Research Center for Space and Planetary Environmental Science Kyushu University Fukuoka Japan Research Center for Open Science and Data Platform National Institute of Informatics Research Organization of Information and Systems Tokyo Japan Institute for Space and Earth Environmental Research Center for Integrated Data Science Nagoya University Nagoya Japan

The AMIDER, Advanced Multidisciplinary Integrated-database for Exploring new Research, is a newly developed research data catalog to demonstrate an advanced database application. AMIDER is characterized as a multidisciplinary database equipped with a user-friendly web application. Its catalog view displays diverse research data at once beyond any limitation of each individual discipline. Some useful functions, such as a selectable data download, data format conversion, and display of data visual information, are also implemented. Further advanced functions, such as visualization of dataset mutual relationship, are also implemented as a preliminary trial. These characteristics and functions are expected to enhance the accessibility to individual research data, even from non-expert users, and be helpful for collaborations among diverse scientific fields beyond individual disciplines. Multidisciplinary data management is also one of AMIDER’s uniqueness, where various metadata schemas can be mapped to a uniform metadata table, and standardized and self-describing data formats are adopted. AMIDER website (https://***/) had been launched in April 2024. As of July 2024, over 15,000 metadata in various research fields of polar science have been registered in the database, and approximately 500 visitors are viewing the website every day on average. Expansion of the database to further multidisciplinary scientific fields, not only polar science, is planned, and advanced attempts, such as applying natural language processing (NLP) to metadata, have also been considered. © 2025 The Author(s).

关键词： data assimilation

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A projected nonlinear state-space model for forecasting time series signals

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International Journal of Forecasting 2025年

作者： Donner, Christian Mishra, Anuj Shimazaki, Hideaki Swiss Data Science Center Zurich Switzerland of Informatics Kyoto University Kyoto Japan Center for Human Nature Artificial Intelligence and Neuroscience (CHAIN) Hokkaido University Sapporo Japan

Learning and forecasting stochastic time series is essential in various scientific fields. However, despite the proposals of nonlinear filters and deep-learning methods, it remains challenging to capture nonlinear dynamics from a few noisy samples and predict future trajectories with uncertainty estimates while maintaining computational efficiency. Here, we propose a fast algorithm to learn and forecast nonlinear dynamics from noisy time series data. A key feature of the proposed model is kernel functions applied to projected lines, enabling the fast and efficient capture of nonlinearities in the latent dynamics. Through empirical case studies and benchmarking, the model demonstrates its effectiveness at learning and forecasting complex nonlinear dynamics, offering a valuable tool for researchers and practitioners in time series analysis. © 2025 The Author(s)

关键词： Chaotic attractors Filtering/smoothing Nonlinear transition Ridge kernel State space model

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Toward the Implementation of Hiroshima University Local 5G Communication Infrastructure in a Digital Twin Environment

Toward the Implementation of Hiroshima University Local 5G C...

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Consumer Technology (ICCT-Pacific), International Conference on

作者： Tomohiro Taniguchi Takumi Harada Hiromu Shimoji Kouji Nishimura Graduate School of Advanced Science and Engineering Hiroshima University Higashihiroshima Hiroshima Japan School of Informatics and Data Science Hiroshima University Higashihiroshima Hiroshima Japan Information Media Center Hiroshima University Higashihiroshima Hiroshima Japan

ISBN: (数字)9798331504120

ISBN: (纸本)9798331504137

Local 5G refers to a private 5G network that can be independently constructed and operated by various entities, such as municipalities and enterprises. It is highly anticipated as a technology capable of addressing diverse societal challenges. In August 2023, a local 5G system was deployed at Hiroshima University's Higashi-Hiroshima campus, intended for use as a testbed environment for practical applications and experimental verification. In this research, we have measured radio wave propagation characteristics and transmission performance to comprehensively understand the unique features and fundamental capabilities of the local 5G system within the campus environment. Based on these measurement results, a visualization application is being developed to represent the findings effectively. However, experimental and measurement activities in physical environments often face constraints such as time, space, and physical limitations. To overcome these challenges and provide users with more flexible opportunities to validate experiments on the local 5G, this study aims to build a digital twin model of the local 5G testbed environment and implement it within the visualization application. This approach seeks to clarify the system's characteristics and performance further. This paper introduces the radio and communication environment visualization application and discusses the conceptual design and prospects for integrating the digital twin model into the system.

关键词： Visualization 5G mobile communication Propagation Extraterrestrial measurements Time measurement Digital twins Time factors Faces

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