Buch, Englisch, 566 Seiten, Format (B × H): 155 mm x 235 mm
Emerging Trends in Computational Science, Computational Biology, Parallel & Distributed Computing, and Internet of Things
Erscheinungsjahr 2026
ISBN: 978-3-032-28465-5
Verlag: Springer Nature Switzerland AG
12th International Conference on Computational Science and Computational Intelligence, CSCI 2025, Las Vegas, NV, USA, December 3-5, 2025, Proceedings Part IV
Buch, Englisch, 566 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: Communications in Computer and Information Science
ISBN: 978-3-032-28465-5
Verlag: Springer Nature Switzerland AG
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.
A total of 43 papers was carefully reviewed and selected for inclusion in this book from the following tracks: 4 papers from 142 submissions to the Research Track on Parallel & Distributed Computing, CSCI-RTPD; 20 papers from 154 submissions to the Research Track on Computational Science, CSCI-RTCS; 9 papers from 58 submissions to the Research Track on Internet of Things & Internet of Everything, CSCI-RTOT; and 10 papers from 120 submissions to the Research Track on Computational Biology, CSCI-RTCB.
The papers were organized in topical sections as follows: Parallel & Distributed Computing and Applications; Computational Science - Theories, Algorithms, and Applications; Internet of Things and Applications; Computational Biology; and Poster Papers.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
.- SECTION: Parallel & Distributed Computing and Applications.
.- Understanding CPU Limitation Mechanisms in Cloud-native Parallel Applications.
.- AI-Cache: A Caching Method Applying Application Inference Targeting File Sharing Servers .
.- Fault Tolerant Reconfigurable ML Multiprocessor.
.- Performance and Consumption Analysis of LU Matrix Decomposition on Heterogeneous and Traditional Multicore CPUs.
.- SECTION: Computational Science - Theories, Algorithms, and Applications.
.- Differentially Private Synthetic Health Data.
.- Rules of the Road Navigation with Logic, Theorem Proving and a Large Ontology.
.- Fast Algorithm for Single Machine Scheduling of Unit-Length Jobs with Non-Renewable Resource Requirements to Minimize Maximum Job Lateness.
.- Lightweight Deep Learning Model for Electrooculography-Based User Authentication.
.- Quantifying the Difference Between Natural and Simulated Quantum Processors.
.- Optimizing Microservices Architecture for High-Speed Financial Data Processing: A Spring Boot-Based Approach.
.- A Robust Pick-and-Place Pipeline for Collaborative Robotic Arms: Toward Autonomous Unmanned Kitchen Systems.
.- A Technique View for the Computation of Taylor's Coefficients.
.- Improved CG-Algorithm for Solving the Graph Balancing Problem with Job Precedence.
.- Dynamic Spatio-Temporal Data Summarization using Information Based Fusion.
.- Aerodynamic Trajectory Impact: Reliability of Blade Geometry in Compressor and Turbine Application for Power Generation and Electricity Supply.
.- Overestimation of Smoke Backlayering Length and Critical Velocity in Small-Scale Tunnels in FDS Simulations.
.- Detecting Change Point or Anomaly Based on Rough Path Theory.
.- Driver Safety Reward with Cooperative Platooning using Blockchain.
.- A Mathematica Equational-Logic Proof of a Fundamental Commutativity Theorem in Ortholattice Theory.
.- Toroidal Hertzsprung's Problem.
.- An LS-DYNA Analysis of the Stress Sensitivity of a Jet-Engine Intake (Fan) Blade to Bird Density in Bird Strikes.
.- On the Emergence of Harmonious Kingdoms.
.- A Computational Model for Quark Confinement and Thermodynamics in a Casimir-Like Trap.
.- Using Llama 3.3 to Discover Novel Hypergraph Coarsening Heuristics.
.- SECTION: Internet of Things and Applications.
.- An Efficient Feature Selection Framework Using Genetic Algorithms for AI-Driven IDS in IoT Environments.
.- A Novel Platform Model for IoT Devices M2M Communication in 6G Network.
.- LSO-IFC: A Novel Lightweight and Secure Offloading Scheme for IoV in Fog–Cloud Confederation.
.- A Method for Estimating Residential Situations Based on Sequential Analysis of Acoustic Information Using a Pretrained Audio Event Classifier.
.- Intelligent Safety Warning System for Bridge Crane Operation Scenarios.
.- Next-Gen IoT Security: Lightweight Cryptographic Protocols Powering the Internet of Everything.
.- Trends, Challenges, and Future Directions of Wireless Sensor Networks in Underground Mining.
.- Enhancing Security of Wireless IoT Networks Through Intelligent Detection and Prevention of MiTM and DDoS Attacks.
.- A Review System Formed by Ensuring the Trustworthiness of DID and Acquiring Relationships Based on Verifiable Credentials.
.- SECTION: Computational Biology.
.- Application of Artificial Intelligence (AI) to Predict Genetic Biomarkers of Brain Tumors from Transcriptomic Datasets.
.- Graph Structure matters : Graph Design and Feature Selection for Accurate MIC Prediction in Salmonella Species.
.- Comparing SMILES and SELFIES Embeddings and ECFP4 Fingerprints for Molecular Similarity Search.
.- Synthetic Riboswitch Sequences for CVB3 Detection Across Salt Concentrations.
.- Word2Vec-Enhanced Ensemble Learning for Protein Succinylation Site Prediction Using CNN-BiLSTM.
.- Beyond Words How Well Can ChatGPT Classify Pneumonia from Chest X-Rays?.
.- Quantum Sensing Applications in Drug Discovery and Development.
.- Proposition on Quantum Computing Applications in Drug Discovery and Development.
.- The Only Combinatorial Optimization LDF.
.- SECTION: Poster Papers.
.- In-Context Learning in Genomic Language Models as an Evaluation Task.
