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The 18th IMT-GT International Conference on Mathematics, Statistics and their Applications : Book of Applied Statistics.
- Format:
- Book
- Language:
- English
- Physical Description:
- 1 online resource
- Edition:
- 1st ed.
- Place of Publication:
- Warsaw ; Berlin : Sciendo, [2024]
- Language Note:
- In English.
- Summary:
- The 18th IMT-GT International Conference on Mathematics, Statistics, and its Applications (ICMSA 2023) aimed to underscore the significance of data science in achieving the Sustainable Development Goals (SDGs), emphasizing the pivotal role of academics and practitioners in this endeavor. The conference sought to increase the publication output of Syiah Kuala University's faculty, enhance the research environment and foster scientific dialogue between the university's lecturers and their international counterparts, elevate the institution's global prestige, and serve as a platform for disseminating research findings to support government efforts in addressing health, environmental, economic, and other challenges. ICMSA 2023 established a high benchmark for future iterations of the conference, with the organizers committed to enhancing the event's format and extending its scope. The two-day conference drew significant interest, evidenced by the submission of 117 papers from diverse institutions and regions. This enthusiastic participation demonstrated the dynamism of the mathematics and statistics community and underscored the pertinence and critical nature of the conference themes. Following a stringent peer-review process, 35 papers were selected for publication in Sciendo, a premier academic publishing platform. Additionally, recognizing the value of a detailed conference record, the organizers opted to publish the details of 22 papers in the Applied Statistics book and 13 papers in the Applied Mathematics book, ensuring a comprehensive documentation of the conference proceedings. Conference date, place10 - 11 April 2023, Universitas Syiah Kuala, Banda Aceh, Aceh, Indonesia Conference OrganizerICMSA 2023, Statistics Department, Universitas Syiah Kuala Instructions for Authors Scientific-Committee Authors Organizing Committee
- Contents:
- Frontmatter
- Table of Contents
- Cubic Spline Knots on Sulawesi Island Land Surface Temperature Decrease Variation
- Data Analytics Between Regional Minimum Wage and Poverty Rate Per Province in Indonesia
- Depression Detection System for Social Media Users
- Reward Shaping for Mobile Robot Navigation Based on Deep Reinforcement Learning
- SDDS: Damage Level Determination System for Post-Natural Disaster Sector Based on Building Characteristics
- Multi-Output Milk Classification Based on Type and Processing Utilizing Deep Learning and Hyperspectral Acquisition System
- Convective Rainfall Estimation From Radar Measurement using Tree-Based Machine Learning
- EEG Signal Classification using Principal Component Analysis and Extreme Learning Machine
- Valuation of Forest Carbon Stock Baseline in Papua Province Using Geo-AI Generated Dataset
- Classification for Seizure Detection on Epilepsy Using Electrocardiogram Signal
- Modeling the COVID-19 Transmission Risk in Surabaya and Sidoarjo using Log Gaussian Cox Process
- Classification of Sweet and Sour Taste Using Electroencephalography (EEG)
- Breast Cancer Classification in Ultrasound Images Based on Deep Neural Network Models
- Recursive Feature Elimination with Cross-Validation in Support Vector Machine for Recognizing Food Insecurity Cases in West Java
- Modeling of Factors Affecting Stunting in Indonesia Using Spline Truncated Semiparametric Regression
- Partial Least Square Structural Equation Modeling Analysis to Investigate Factors Affecting Poverty in Indonesia
- Identification of Students Service Satisfaction using Binary Logistic Regression : Case study in Faculty of Mathematics and Natural Science, Universitas Syiah Kuala
- Quantile Regression Neural Network (QRNN) and Hybrid NN – QRNN Model for Forecasting Rice Productivity in Indonesia
- Optimization of Hybrid Generation System for Alternative Energy Using Elephant Herding Optimization Algorithm
- Performance Analysis of Face Recognition Using Machine Learning and Modified Deep Learning Methods
- Implementation of DBSCAN and K-Means Algorithm for Clustering Agricultural Drone Flying Areas
- Trend Analysis for Indonesia's Inflation Index Using Hierarchical Clustering
- Notes:
- This eBook is made available Open Access under a CC BY 4.0 license: https://creativecommons.org/licenses/by/4.0
- Description based on online resource; title from PDF title page (publisher's Web site, viewed 26. Apr 2024)
- ISBN:
- 83-67405-71-4
- OCLC:
- 1463079507
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