Buch, Englisch, 201 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 330 g
4th Southwest Data Science Conference, SDSC 2025, Waco, TX, USA, March 21-22, 2025, Revised Selected Papers
Buch, Englisch, 201 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 330 g
Reihe: Communications in Computer and Information Science
ISBN: 978-3-031-99878-2
Verlag: Springer
This book constitutes the refereed proceedings of the 4th Southwest Data Science Conference on New Frontiers in Data Science, SDSC 2025, held in Waco, TX, USA, during March 21–22, 2025.
The 11 full papers and included in this book were carefully reviewed and selected from 64 submissions. They were organized in topical sections as follows: Ethical AI-Driven Data Science; New Data-Science Infrastructure & Platforms; Attention-Enhanced Deep Learning; Biomedical & Educational Data Science; and AI-Driven Supply Chain & Operations Management.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Technische Informatik Netzwerk-Hardware
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
- Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
- Mathematik | Informatik EDV | Informatik Informatik Mathematik für Informatiker
- Mathematik | Informatik EDV | Informatik Angewandte Informatik
Weitere Infos & Material
.- Ethical AI-Driven Data Science.
.- Explainable Diagnosis of Alzheimer’s Disease Using Graph Kolmogorov-Arnold Networks.
.- Ethical Bytes in Newsroom: Mapping AI’s Future in Journalism.
.- New Data-Science Infrastructure & Platforms.
.- Unleashing Mojo: Accelerating K-Nearest-Neighbor Learning.
.- A Practical Comparison of Bayesian Computing Platforms in R.
.- Attention-Enhanced Deep Learning.
.- CATC-Net: A Co-Attention-Guided Temporal Capsule Network for Speech Emotion Recognition.
.- YOLOv5-TS: Attention-Augmented Traffic-Sign Detection with Lightweight BiFPN Fusion.
.- Biomedical & Educational Data Science.
.- Epidemiological and Transcriptomic Analysis of a Multidrug-Resistant Pseudomonas aeruginosa Strain.
.- Feature Engineering on LMS Data to Optimize Student Performance Prediction.
.- Socio-Economic Effects on Health and Well-Being Using U.S. County-Level Data.
.- AI-Driven Supply Chain & Operations Management.
.- Automatic Pricing and Replenishment Decisions for Vegetable Products Based on Grey Prediction Model and 0–1 Programming.
.- Optimization of Multi-Factory Remanufacturing Process with Drone Delivery Using Dueling.
