Multi-disciplinary Trends in Artificial Intelligence 17th International Conference, MIWAI 2024, Pattaya, Thailand, November 11–15, 2024, Proceedings, Part I /

The two-volume set LNAI 15431 and 15432 constitutes the refereed proceedings of the 17th International Conference on Multi-disciplinary Trends in Artificial Intelligence, MIWAI 2024, held in Pattaya, Thailand, during November 11–15, 2024. The 68 full papers presented in these proceedings were carefu...

Бүрэн тодорхойлолт

-д хадгалсан:
Номзүйн дэлгэрэнгүй
Байгууллагын зохиогч: SpringerLink (Online service)
Бусад зохиолчид: Sombattheera, Chattrakul (Засварлагч), Weng, Paul (Засварлагч), Pang, Jun (Засварлагч)
Формат: Цахим Цахим ном
Хэл сонгох:англи
Хэвлэсэн: Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Хэвлэл:1st ed. 2025.
Цуврал:Lecture Notes in Artificial Intelligence, 15431
Нөхцлүүд:
Онлайн хандалт:https://doi.org/10.1007/978-981-96-0692-4
Шошгууд: Шошго нэмэх
Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!

MARC

LEADER 00000nam a22000005i 4500
001 978-981-96-0692-4
003 DE-He213
005 20260706120904.0
007 cr nn 008mamaa
008 250219s2025 si | s |||| 0|eng d
020 |a 9789819606924  |9 978-981-96-0692-4 
024 7 |a 10.1007/978-981-96-0692-4  |2 doi 
050 4 |a Q334-342 
050 4 |a TA347.A78 
072 7 |a UYQ  |2 bicssc 
072 7 |a COM004000  |2 bisacsh 
072 7 |a UYQ  |2 thema 
082 0 4 |a 006.3  |2 23 
245 1 0 |a Multi-disciplinary Trends in Artificial Intelligence  |h [electronic resource] :  |b 17th International Conference, MIWAI 2024, Pattaya, Thailand, November 11–15, 2024, Proceedings, Part I /  |c edited by Chattrakul Sombattheera, Paul Weng, Jun Pang. 
250 |a 1st ed. 2025. 
264 1 |a Singapore :  |b Springer Nature Singapore :  |b Imprint: Springer,  |c 2025. 
300 |a XX, 447 p. 224 illus., 166 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Lecture Notes in Artificial Intelligence,  |x 2945-9141 ;  |v 15431 
505 0 |a  -- ArsenicSkinNet: A Deep Learning Approach for Arsenicosis Skin Lesion Classification. -- Decoding Trust: An Agent-based Computational Model of User’s Trust Interplay Dynamics in e-Hailing Services. -- PCHIP-HW: A Robust Approach for Imputing Microalgae Monitoring Data. -- Integrated IoT Solution for Electric Vehicle Charging Station System. -- Recognizing Vietnamese Vegetable Varieties and Quality using a Modified Hierarchical Classification and Multi-task Learning. -- Attention to the Branches: A Comparative Analysis of FairMOT with Transformers on Fish Dataset. -- Comparative study of Yolov8, Yolov9 and Yolov10 by their ability to detect mangoes., -- TrendScribe: Design and Development of a Pedagogic Trend Description Generator for Learners of English. -- Enhancement of LLMs-based Translation by Agentic Machine Translation in Thai Language. -- LEVERAGING SOCIAL MEDIA DATA TO ANALYZE PUBLIC SENTIMENT ON MEKONG DELTA’S ENVIRONMENTAL ISSUES. -- Charting Careers in Data Science and Artificial Intelligence: Community Perspectives on Degree Essentiality. -- Outlier Selection with Local intrinsic dimensionality and visualization using t-SNE. -- A DCGAN-Based Method for Improving Animal Classification in Low Resolution Image. -- An Investigation of the Effect of Free-Players on Global Cooperative Behavior in a Spatial Prisoner’s Dilemma Game Environment. -- ChatGPT Acceptance and Use among Software Developers in the Philippines: A Structural Equation Modeling Approach based on Extended UTAUT. -- Banana Variety Classification and Grading at Bunch Level. -- Efficient Implementation of 2SAT Formula Learning Over Finite Totally Ordered Domains. -- Unveiling Indian Public Sentiment: A Topic Modeling Comparison between LDA and BERTopic on ”Mann ki Baat”. -- Identifying Water Bodies in Satellite Images Using UNet3+. -- Selective Frame Analysis for Efficient Object Tracking: Balancing Speed with Accuracy in MOT Systems. -- Automated Many-to-One Matching Mechanism Design using Deep Learning. -- Optimizing Lane Configuration and ETC Adoption to Minimize Congestion and Costs at Toll Plazas. -- An Empirical Evaluation of Algorithms for Simple Stochastic Games. -- InterviewEase: AI-powered placement assistance. -- Boundary Extraction for Unseen Entities Prediction using Bidirectional Long Short-Term Memory. -- Personalized Pronunciation Practice Recommendation in Non-Native French Speakers Using Graph-Based Analysis. -- Solving the Vietnamese EdTech Timetabling Problem with Optimized Multi-Objectives. -- FrustumVL: A Frustum-based Visual Localization Framework for Urban Environments. -- Automatic Assessment of Vietnamese Proficiency Using BERT and Phrase Complexity. -- TOORNet: Training-free Online Object Removal Network for Adversarial Attacks on Intelligent Video Surveillance Systems. -- Optimizing Carpooling with Multiple Shared-destinations: Reasonable Fare Calculation and Effective Route Planning. -- GraphChem: Using Soft Graph Mixture of Experts for de novo Drug Design and Molecular Property Prediction. -- Enhancing Transparency and Fairness in Automated Resume Categorization: A KNN-Based Approach with Lime Explanations. -- On automatic generation of Escher-like Metamorphosis. -- Data-driven Anchor Box Optimization using Genetic Algorithm. 
520 |a The two-volume set LNAI 15431 and 15432 constitutes the refereed proceedings of the 17th International Conference on Multi-disciplinary Trends in Artificial Intelligence, MIWAI 2024, held in Pattaya, Thailand, during November 11–15, 2024. The 68 full papers presented in these proceedings were carefully reviewed and selected from 147 submissions. The papers focus on various topics in AI and its applications, such as deep learning, machine learning, computer vision, pattern recognition, and natural language processing. 
650 0 |a Artificial intelligence. 
650 1 4 |a Artificial Intelligence. 
700 1 |a Sombattheera, Chattrakul.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Weng, Paul.  |e editor.  |0 (orcid)0000-0002-2008-4569  |1 https://orcid.org/0000-0002-2008-4569  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Pang, Jun.  |e editor.  |0 (orcid)0000-0002-4521-4112  |1 https://orcid.org/0000-0002-4521-4112  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9789819606917 
776 0 8 |i Printed edition:  |z 9789819606931 
830 0 |a Lecture Notes in Artificial Intelligence,  |x 2945-9141 ;  |v 15431 
856 4 0 |u https://doi.org/10.1007/978-981-96-0692-4 
912 |a ZDB-2-SCS 
912 |a ZDB-2-SXCS 
912 |a ZDB-2-SXPS 
912 |a ZDB-2-LNC 
912 |a ZDB-2-243 
950 |a Computer Science (SpringerNature-11645) 
950 |a Computer Science (R0) (SpringerNature-43710) 
950 |a Springer Nature Proceedings Computer Science (SpringerNature-85344) 
950 |a Focus Bundle Proceedings in AI Research (SpringerNature-85413)