检索结果-内蒙古大学图书馆

An explainable non-invasive hybrid machine learning framework for accurate prediction of thyroid-stimulating hormone levels

引用

Computers in Biology and Medicine 2025年 189卷 109974-109974页

作者： Mohammed, Areej Alshraideh, Hussam Abu-Helalah, Munir Shamayleh, Abdulrahim Department of Industrial Engineering Engineering Systems Management Program American University of Sharjah SharjahP.O. Box 26666 United Arab Emirates Department of Industrial Engineering American University of Sharjah SharjahP.O. Box 26666 United Arab Emirates Industrial Engineering Department Jordan University of Science and Technology Irbid Jordan Department of Family and Community Medicine School of Medicine University of Jordan Public Health Institute Amman Jordan

Machine learning models, including thyroid biomarkers, are increasingly utilized in healthcare for biomarker prediction. These models offer the potential to enhance disease diagnosis through data-driven approaches relying on non-invasive techniques. However, no studies have explored the application of fully non-invasive methods for predicting thyroid-stimulating hormone (TSH) levels. Consequently, this study introduces a novel, fully non-invasive framework for predicting TSH levels by developing an innovative hybrid machine learning model that balances performance, complexity, and interpretability. Seven ML models were evaluated, and the best-performing models were integrated into a hybrid approach to balance performance, complexity, and interpretability. A dataset of 6190 instances from Jordan was used for model development. Four-dimensional non-invasive factors, including demographics, symptoms, family history, and newly engineered symptom scores, were incorporated into the model. The hybrid model achieved an R2 of 94.2 % and RMSE of 0.015, demonstrating superior predictive performance. Model interpretability was ensured using LIME and SHAP explainers, confirming aggregated symptom scores' critical role in enhancing prediction accuracy. A robust feature selection technique was implemented, reducing model complexity and enhancing performance. Among the top ten features for predicting TSH levels were hypothyroidism and hyperthyroidism symptom scores, family history, cold intolerance, itchy-dry skin, sweating, hand tremors, and palpitations. The model can be employed to develop cost-effective diagnostic tools for thyroid disorders. It also offers a robust framework that can be generalized to predict other biomarkers and applied in diverse contexts. © 2025 Elsevier Ltd

关键词： Prediction models

来源：评论

学校读者我要写书评

暂无评论

Thévenin Network Approach for Modeling Mutual Coupling in Narrowband Uniform Linear Arrays

Thévenin Network Approach for Modeling Mutual Coupling in N...

引用

IEEE Latin American Symposium on Circuits and systems (LASCAS)

作者： José A. Apolinário Cláudio A. B. Saunders Filho Antonio L. L. Ramos Program of Electrical Engineering Military Institute of Engineering (IME) Rio de Janeiro Brazil Department of Science and Industry Systems (IRI) TNM University of South-Eastern Norway (USN) Kongsberg Norway

ISBN: (数字)9798331522124

ISBN: (纸本)9798331522131

This paper investigates mutual coupling in narrow-band uniform linear antenna arrays through Thévenin network modeling. After an in-depth analysis, we derive a Thévenin network representing a given mutual coupling matrix and develop a method to achieve an equivalent decoupled model that significantly reduces computational and memory requirements in practical applications.

关键词： Mutual coupling Analytical models Circuits and systems Array signal processing Computational modeling Memory management Linear antenna arrays Integrated circuit modeling Narrowband

来源：评论

学校读者我要写书评

暂无评论

Deep Learning-Based Residual Useful Lifetime Prediction for Assets With Uncertain Failure Modes

引用

Journal of Computing and Information Science in engineering 2025年第4期25卷 041002页

作者： Su, Yuqi Fang, Xiaolei Operations Research Graduate Program North Carolina State University 915 Partners Way Raleigh NC 27607 Edward P. Fitts Department of Industrial and Systems Engineering North Carolina State University 915 Partners Way Raleigh NC 27607

Industrial prognostics focuses on utilizing degradation signals to forecast and continually update the residual useful life of complex engineering systems. However, existing prognostic models for systems with multiple failure modes face several challenges in real-world applications, including overlapping degradation signals from multiple components, the presence of unlabeled historical data, and the similarity of signals across different failure modes. To tackle these issues, this research introduces two prognostic models that integrate the mixture (log)-location-scale distribution with deep learning. This integration facilitates the modeling of overlapping degradation signals, eliminates the need for explicit failure mode identification, and utilizes deep learning to capture complex nonlinear relationships between degradation signals and residual useful lifetimes. Numerical studies validate the superior performance of these proposed models compared to existing methods.

关键词： Failure mechanisms mixture (log)-location-scale distribution Failure Weibull distribution multiple failure modes Signals Service life (Equipment) prognostics data analytics Deep learning machine learning for engineering applications engineering systems and industry applications industrial Internet of things big data and analytics

来源：评论

学校读者我要写书评

暂无评论

Disambiguation of Chinese Polyphones in an End-to-End Framework with Semantic Features Extracted by Pre-trained BERT

arXiv

引用

arXiv 2025年

作者： Dai, Dongyang Wu, Zhiyong Kang, Shiyin Wu, Xixin Jia, Jia Su, Dan Yu, Dong Meng, Helen Tsinghua-CUHK Joint Research Center for Media Sciences Technologies and Systems Graduate School at Shenzhen Tsinghua University Shenzhen China Department of Computer Science and Technology Tsinghua University Beijing China Department of Systems Engineering and Engineering Management The Chinese University of Hong Kong Shatin N.T. Hong Kong Tencent AI Lab. Tencent Shenzhen China

Grapheme-to-phoneme (G2P) conversion serves as an essential component in Chinese Mandarin text-to-speech (TTS) system, where polyphone disambiguation is the core issue. In this paper, we propose an end-to-end framework to predict the pronunciation of a polyphonic character, which accepts sentence containing polyphonic character as input in the form of Chinese character sequence without the necessity of any preprocessing. The proposed method consists of a pre-trained bidirectional encoder representations from Transformers (BERT) model and a neural network (NN) based classifier. The pre-trained BERT model extracts semantic features from a raw Chinese character sequence and the NN based classifier predicts the polyphonic character’s pronunciation according to BERT output. In out experiments, we implemented three classifiers, a fully-connected network based classifier, a long short-term memory (LSTM) network based classifier and a Transformer block based classifier. The experimental results compared with the baseline approach based on LSTM demonstrate that, the pre-trained model extracts effective semantic features, which greatly enhances the performance of polyphone disambiguation. In addition, we also explored the impact of contextual information on polyphone disambiguation. Copyright © 2025, The Authors. All rights reserved.

关键词： Semantics

来源：评论

学校读者我要写书评

暂无评论

Alignment-Free Estimation of Read to Genome Distances and Its Applications 29th

Alignment-Free Estimation of Read to Genome Distances and...

引用

29th International Conference on Research in Computational Molecular Biology, RECOMB 2025

作者： Şapcı, Ali Osman Berk Mirarab, Siavash Bioinformatics and Systems Biology Graduate Program UC San Diego San DiegoCA92093 United States Department of Electrical and Computer Engineering UC San Diego San DiegoCA92093 United States

ISBN: (纸本)9783031902512

Searching reads from unknown origins in a reference database and finding evolutionarily similar genomes is central to many applications. Quantifying the similarity by estimating the distance between each read and matching references could further help downstream analyses such as taxonomic characterization or even placing the read on a reference phylogeny. Such distances can be computed using alignment. Since alignment becomes impractical for ultra-large reference databases, many use k-mer-based tools for downstream tasks, but these methods do not compute distances. We introduce krepp to compute the distance between a read and a genome using a maximum likelihood framework built around k-mers. We further introduce algorithms to place reads on a reference tree. Empirical evaluations show that krepp accurately estimates distances, scales well with large databases, and can place short reads coming from any part of the genome on a reference phylogeny. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Average nucleotide identity Metagenomics Phylogenetic placement

来源：评论

学校读者我要写书评

暂无评论

Dynamics of Electricity Price Volatility and its Impacts on Energy Investments

SSRN

引用

SSRN 2025年

作者： Muğaloğlu, Erhan Kılıç, Edanur Keskin, Hazar Selçuklu, Saltuk Buğra Erciyes University Faculty of Economics and Administrative Sciences Kayseri Turkey Erciyes University Graduate School of Social Sciences Kayseri Turkey Hatay Turkey Erciyes University Faculty of Engineering Department of Energy Systems Engineering Kayseri Turkey

Electricity price fluctuations affect economic growth, social welfare, and investor behavior. This study examines the price volatility dynamics of Türkiye’s day-ahead electricity market from 2018 to 2024, analyzing price variations across three regimes: moderate, high, and extreme. The Markov Regime-Switching GJR-GARCH (MS-GJR-GARCH) model captures sudden regime shifts, proving that the three-regime model outperforms the single-regime model based on Value-at-Risk (VaR) calculations. Regime 1 accounts for 42% of observations in Türkiye’s electricity market, while Regimes 2 and 3 comprise 45% and 13%, respectively. Transition probabilities indicate that electricity prices tend to stay in more volatile regimes, especially during crucial shocks like the Russia-Ukraine conflict and the COVID-19 pandemic. A linear model is also constructed to assess the impact of different energy sources—solar, wind, hydropower, and natural gas—on price volatility. Results show that these effects vary by regime: solar power reduces volatility in extreme conditions, wind and hydropower can either stabilize or amplify volatility, and natural gas is a key driver of volatility in all regimes. Investors and policymakers must adjust strategies based on each volatility regime. Renewable energy investments increase short-term price volatility due to the Merit Order Effect, but in the long run, they enhance energy security by reducing fossil fuel dependence. This study suggests strategies ranging from risk management techniques to energy policies to strengthen Türkiye’s electricity market resilience against sudden price shifts. © 2025, The Authors. All rights reserved.

关键词：

来源：评论

学校读者我要写书评

暂无评论

An Employability Skills Model for Built Environment graduates: A Partial Least Squares Structural Equation Modeling Analysis

引用

International Journal of Construction Education and Research 2025年第1期21卷 74-93页

作者： Aliu, John Aghimien, Douglas Aigbavboa, Clinton Oke, Ayodeji Emmanuel Ebekozien, Andrew Institute for Resilient Infrastructure Systems College of Engineering University of Georgia Athens GA United States School of Art Design and Architecture Faculty of Arts Design and Humanities De Montfort University Leicester United Kingdom SARChi in Sustainable Construction Management and Leadership in the Built Environment Faculty of Engineering and the Built Environment University of Johannesburg Johannesburg South Africa Research Group on Sustainable Infrastructure Management Plus (RG-SIM+) Department of Quantity Surveying Federal University of Technology Akure Ondo Akure Nigeria CIDB Centre of Excellence Faculty of Engineering and Built Environment University of Johannesburg Auckland Park Gauteng South Africa School of Social Sciences Universiti Sains Malaysia Pulau Pinang Minden Malaysia Department of Quantity Surveying Auchi Polytechnic Edo Auchi Nigeria

This study presents a six-construct employability skills model for built environment graduates in the context of the Fourth Industrial Revolution (4IR). The model examines the influence of generic skills, discipline-specific skills, work-integrated learning, emotional intelligence, university-industry collaboration and 4IR knowledge on graduate employability. A mixed-method approach was employed, including the Delphi technique for qualitative analysis and a well-structured questionnaire for quantitative analysis. The findings highlight the significant impact of work-integrated learning on improved employability, while also revealing the direct influence of other exogenous variables. Notably, discipline-specific skills showed a weaker influence. This research contributes to the field by presenting a tailored employability skills model for built environment graduates, addressing the sector’s unique challenges in the 4IR era. The study also offers practical implications for stakeholders involved in employability skills development. Overall, this study provides a substantive contribution to the research area of engineering education and graduate employability in the context of 4IR. In an ever-evolving job market shaped by technological advancements, this study underscores the importance of equipping built environment graduates with a diverse set of skills and knowledge to thrive in the dynamic landscape of the 4IR. © 2024 Associated Schools of Construction.

关键词： Built environment construction education employability fourth industrial revolution higher education skills revolution

来源：评论

学校读者我要写书评

暂无评论

Discriminative Analysis of Autistic Tendencies at 18 Months of Age Using Eye Gaze Characteristics in 4-, 10-, and 18-month-old Infants

Discriminative Analysis of Autistic Tendencies at 18 Months ...

引用

2025 IEEE/SICE International Symposium on System Integration, SII 2025

作者： Ueda, Rena Doi, Hirokazu Furui, Akira Shimatani, Koji Hayashi, Hideaki Tsuji, Toshio Hiroshima University Graduate School of Advanced Science and Engineering 1-4-1 Kagamiyama Hiroshima Higashi-Hiroshima739-8527 Japan Nagaoka University of Technology Department of Information and Management Systems Engineering 1603-1 Kamitomioka Niigata Nagaoka940-2188 Japan Nagasaki University Graduate School of Biomedical Sciences 1-12-4 Sakamoto Nagasaki Nagasaki852-8523 Japan Prefectural University of Hiroshima Faculty of Health and Welfare 1-1 Gakuen-machi Hiroshima Mihara723-0053 Japan Osaka University Institute for Datability Science 2-8 Yamadaoka Osaka Suita565-0871 Japan

ISBN: (纸本)9798331531614

Anomalies in motor function and social communication skills constitute early signs of autism spectrum disorder (ASD). In recent years, researchers have paid attention to the possibility of the quantitatively evaluating infants' social communication skills based on their eye movement. In this paper, we attempt to evaluate ASD risk using infants' eye movement data by examining the relationship between eye movement patterns at 4, 10, and 18 months of age and ASD risk as assessed by caregivers using a checklist at 18 months of age. A total of 18 eye movement indices were calculated from eye movement data measured by an optical eye tracker. The results revealed an association between ASD risk and eye movement indices. The indices included those related to a preference for social information at 4 months of age, those related to visual exploration of images at 10 months of age, and those indices related to both preference and visual exploration at 18 months of age. These results indicate that eye movement analysis may potentially serve as a means for early screening of ASD risk. © 2025 IEEE.

关键词： Risk assessment

来源：评论

学校读者我要写书评

暂无评论

Discriminative Analysis of Autistic Tendencies at 18 Months of Age Using Eye Gaze Characteristics in 4-, 10-, and 18-month-old Infants

Discriminative Analysis of Autistic Tendencies at 18 Months ...

引用

IEEE/SICE International Symposium on System Integration

作者： Rena Ueda Hirokazu Doi Akira Furui Koji Shimatani Hideaki Hayashi Toshio Tsuji Graduate School of Advanced Science and Engineering Hiroshima University Hiroshima Japan Department of Information and Management Systems Engineering Nagaoka University of Technology Niigata Japan Graduate School of Biomedical Sciences Nagasaki University Nagasaki Japan Faculty of Health and Welfare Prefectural University of Hiroshima Hiroshima Japan Institute for Datability Science Osaka University Osaka Japan

ISBN: (数字)9798331531614

ISBN: (纸本)9798331531621

Anomalies in motor function and social communication skills constitute early signs of autism spectrum disorder (ASD). In recent years, researchers have paid attention to the possibility of the quantitatively evaluating infants’ social communication skills based on their eye movement. In this paper, we attempt to evaluate ASD risk using infants’ eye movement data by examining the relationship between eye movement patterns at 4, 10, and 18 months of age and ASD risk as assessed by caregivers using a checklist at 18 months of age. A total of 18 eye movement indices were calculated from eye movement data measured by an optical eye tracker. The results revealed an association between ASD risk and eye movement indices. The indices included those related to a preference for social information at 4 months of age, those related to visual exploration of images at 10 months of age, and those indices related to both preference and visual exploration at 18 months of age. These results indicate that eye movement analysis may potentially serve as a means for early screening of ASD risk.

关键词： Visualization Accuracy Tracking Input variables System integration Variable speed drives Optical variables measurement Feature extraction Optical imaging Motors

来源：评论

学校读者我要写书评

暂无评论

System for Automating Medication Orders to the Hospital Pharmacy by Nurses in Peru Through Voice Recognition

System for Automating Medication Orders to the Hospital Phar...

引用

Software engineering and Computer Science (CSECS), International Conference on

作者： Conrado Moreno-Fernández Fabian Colque-Fernández José Luis Castillo-Sequera Lenis Wong Information Systems Engineering Program Universidad Peruana de Ciencias Aplicadas Lima Perú Department of Computer Science Universidad de Alcalá Alcalá de Henares Spain

ISBN: (数字)9798331522216

ISBN: (纸本)9798331522223

The management of nurses' orders to a Peruvian hospital pharmacy faces efficiency challenges, which affects time spent on patient care. This context highlights the need for a system that optimizes this process. In this sense, a web-based system is proposed for the automation of orders from the nurse's cell phone, which uses a customized model for automatic speech recognition. The development of the system was divided into three stages: first, data collection with 21 orders placed by three nurses and 978 audio recordings to validate the automatic speech recognition model; second, implementation of the system allowing agile order processing; and finally, evaluation of results in terms of time and accuracy. The findings indicate that the processing time ranged from 37.70 to 60.15 seconds, representing a 97%-time reduction in operational tasks. In addition, the Word Error Rate was 10.51%, significantly lower than the 25.05% of Whisper Large V2. These results demonstrate the system's potential for adoption in various hospital contexts.

关键词： Automation Accuracy Hospitals Error analysis Terminology Transforms Time measurement Artificial intelligence Automatic speech recognition Software engineering

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：