Emerging Trends in Artificial Intelligence, Computational Intelligence, and Social Networks

12th International Conference on Computational Science and Computational Intelligence, CSCI 2025, Las Vegas, NV, USA, December 3-5, 2025, Proceedings, Part II
Erscheinungsjahr 2026
ISBN: 978-3-032-28456-3
Verlag: Springer Nature Switzerland AG

Buch, Englisch, 582 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Communications in Computer and Information Science

The CCIS book constitutes selected papers of the 12th International Conference on Computational Science and Computational Intelligence, CSCI 2025, which took place in Las Vegas, NV, USA, during December 3–5, 2025.

For this book, 24 papers from the Research Track on Artificial Intelligence, CSCI-RTAI, are included from 389 submissions. In addition, 9 papers out of 36 submissions from the Research Track on Computational Intelligence, CSCE-RTCI, are included, and 8 papers were selected from 78 submissions to the Research Track on Social Network Analysis, Social Media and Mining, CSCI-RTNA. 

The papers were organized in topical sections as follows: Artificial Intelligence - Deep Learning Methods, Industrial Applications, and Algorithms; Artificial Intelligence - Algorithms and Application; Computational Intelligence; and Social Network Analysis, Social Media and Mining.

Zielgruppe

Research

Autoren/Hrsg.

Arabnia, Hamid R.

Deligiannidis, Leonidas

Shenavarmasouleh, Farzan

Ghareh Mohammadi, Farid

Amirian, Soheyla

Fachgebiete

• Geisteswissenschaften Sprachwissenschaft Computerlinguistik, Korpuslinguistik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Informatik Natürliche Sprachen & Maschinelle Übersetzung

Inhaltsverzeichnis

.- SECTION: Artificial Intelligence - Deep Learning Methods, Industrial Applications, and Algorithms.
.- Evolutionary Deep Learning for Channel-selected Glioblastoma Classification in Multimodal Intraoperative Neurophysiological Monitoring.
.- From AI Agents to Agentic AI: A Practical Path for S&OP-Centric Supply Chain Optimization.
.- Image Acquisition by Stable Diffusion Adaptation with LoRA.
.- Industrial Defect Detection with Explainable Guided Tile Selection.
.- Analysis of Frequency-Domain Signal Representations on the Performance of Deep Learning Models for Financial Trend Classification.
.- AI-Assisted Mobile Nutrition Analysis for Daily Monitoring via Image Processing of Guideline Daily Amounts (GDAs) Labelling.
.- Advancements in Deep Learning for Detection and Management of Banana Fusarium Wilt Disease.
.- SECTION: Artificial Intelligence - Large Language Models, Text Processing, and Risk Assessment Methods.
.- LLM Conversion of Python for Scientific Computing.
.- Multi-Level Text Feature Analysis for Detecting AI-Generated Content.
.- Real-Time Credit Risk Assessment in Agri-Finance: A Dynamics 365-Based AI Framework.
.- In Quest of an Extensible Multi-Level Harm Taxonomy for Adversarial AI.
.- Enhanced RAG Driven LLM-NER for Parametric Completion of Assembly Documents.
.- A Unified Framework for AI and Generative AI in Credit-Risk Classification and Credit Card Fraud Detection.
.- SECTION: Artificial Intelligence - Algorithms and Application.
.- The Rationale and Implementation of a Collection-Based Probabilistic Inference Engine
.- An Employee-Centric Holistic Framework for AI Adoption in Digital Transformation of SMEs.
.- Designing Fair and Transparent AI Systems for Automated Debate Judging Across Multiple Formats.
.- Automatic Workout Tracking using Support Vector Machine with Frequency Feature Engineering.
.- Twinleaf Chain
.- Authorship Verification for Academic Dishonesty in the Era of AI.
.- A Contract-Driven, On-Device AI Pipeline for Accessible Campus Wayfinding.
.- A Reactive System for Inappropriate Content Moderation: An Open Source Prototype.
.- Effects of Technology Acceptance Factors on Satisfaction with Virtual Personal Assistants.
.- A New Design of Mars Orbital Station based on In-Situ Resources Utilization and Artificial Intelligence Technology.
.- Optimism vs Skepticism in the Use of Intelligent Personal Assistant (IPA).
.- SECTION: Computational Intelligence.
.- Solving a highly-constrained bi-objective shift scheduling problem using a specialized NSGA-II.
.- Solving Large Feature Selection Problems using an Improved NSGA-II.
.- A Multi-Objective Optimization Approach for Tuning Multivariable DMC Controllers.
.- A Benchmark Suite of Reddit-Derived Datasets for Mental Health Detection.
.- A Review on Bioinspired Feature Selection for Text Clustering.
.- Energy-Efficient RISC-V Accelerator for Transformer Models: A Hardware-Software Co-Design Approach for Edge AI and Education.
.- Anxiety Detection in a Low-Resource Setting.
.- Vehicle Routing Optimization Using Tunicate Swarm Algorithm.
.- Optimizing FSO Links Using AI.
.- SECTION: Social Network Analysis, Social Media, & Mining.
.- Clique-Based Global Community Hiding Against Overlapping Community Detection.
.- Leveraging the Power of AI and Social Interactions to Restore Trust in Public Polls.
.- Analyzing Group Polarization and Its Impact on Misinformation Dissemination.
.- Customer Churn Prediction Based on Sentiment Score.
.- A Multimodal Analytics Framework for Facial Expression and User Comments Analysis.
.- Developing the SMART-ACE Framework.
.- Visualization of Opinion Trends to Support Understanding Discussions Among Communities of Video Viewers.
.- Visualization of Others' Judgment Tendencies in Identifying Useful Disaster Alerts on Social Media.