{"product_id":"emerging-trends-in-scientific-computing-and-theoretical-computer-science-hamid-r-ebook","title":"Emerging Trends in Scientific Computing and Theoretical Computer Science","description":"\u003cp\u003e\u003cstrong\u003e.- SECTION:  MILITARY AND DEFENSE MODELING AND SIMULATION\u003c\/strong\u003e\u003cbr\u003e.- Classifying Seismic Events: A Machine Learning Approach to Identifying Earthquakes, Explosions and Other Rare Events.\u003cbr\u003e.- Cost Estimation of DoD ACAT 1 Software Programs: Statistical Regression vs. Neural Networks.\u003cbr\u003e.- Airfoil Selection Tool Development Using the Cross-Industry Standard Process for Data Mining.\u003cbr\u003e.- Solar Storm Effects on Quantum Communication Network Performance.\u003cbr\u003e.- MADFACTs:A Meta-learning Augmented Defense Framework for Adversarial Cyber Techniques.\u003cbr\u003e\u003cstrong\u003e.- SECTION:  SCIENTIFIC COMPUTING AND UTILIZATION OF ARTIFICIAL INTELLIGENCE\u003c\/strong\u003e\u003cbr\u003e.- A Hybrid Statistical-Machine Learning Framework for Assessing Structural Accuracy in Predicted Protein Models.\u003cbr\u003e.- Machine Learning and Data Analysis Method for Predicting an Efficient Algorithm for Heterogeneous Multicore Scheduling.\u003cbr\u003e.- Heart Valvular Disease Detection Using Image-based Time Series and Transfer Learning.\u003cbr\u003e.- Zero-Shot Perception and Spatiotemporal Transformers for Automated Gait and Footpad Score Classification.\u003cbr\u003e.- Causal Inference for Observational Studies: Deep Learning Approaches to Counterfactual Generative Modeling.\u003cbr\u003e.- Preserving Medical Meaning Across Languages: A UMLS-Driven Approach with Small Language Models.\u003cbr\u003e.- Evaluating Large Language Models for Explaining Insecure Code and Identifying Vulnerabilities in Java and Python.\u003cbr\u003e.- AI-Sensing Neuromorphic Computing for Cybersecurity in Healthcare Data Lakes.\u003cbr\u003e.- Academic Risk Prediction: An Artificial Intelligence-Based Approach Using Psychoeducational Variables.\u003cbr\u003e\u003cstrong\u003e.- SECTION:  QUANTUM COMPUTING, SECURITY, AND APPLICATIONS.\u003c\/strong\u003e\u003cbr\u003e.- Lattice-Based Encryption in Building Post Quantum-Resistant Algorithms for Next-Generation Security.\u003cbr\u003e.- Crypto-Agility in Post-Quantum Cybersecurity with AI-Driven Dynamic Key Management.\u003cbr\u003e.- Quantum-Resilient Edge Computing Cryptography for Resource-Limited Medical IoT.\u003cbr\u003e.- Quantum-Enhanced Intrusion Detection: A Novel Hybrid Approach Using Quantum Deep Learning.\u003cbr\u003e\u003cstrong\u003e.- SECTION: SCIENTIFIC COMPUTING, DISTRIBUTED PROCESSING, OPTIMIZATION, NUMERICAL METHODS, AND APPLICATIONS.\u003c\/strong\u003e\u003cbr\u003e.- Synchronous Blocking Data Transfer Over Wi-Fi Using Java Fork-Join Versus Virtual Threads and Structured Concurrency.\u003cbr\u003e.- Example of Non-Linear Map with Non-Unique Transition to Dynamic Chaos.\u003cbr\u003e.- Transmission Range Test for a LoRa-based in-situ Water Assessment System in the Vaal Region.\u003cbr\u003e.- Representation of Multidimensional Chaotic Models with Closed-Form Invariant Distributions as Compositions of Symmetric Functions.\u003cbr\u003e.- Comparative Analysis of Scheduling Algorithms Relative to O(n) Characteristics.\u003cbr\u003e.- Parallel and Sequential Algorithms for Detecting Sparse Binary Squares with Three Ones.\u003cbr\u003e.- Voltage Collapse Instability Prediction of Nigerian 330kV Transmission Network Using Predictive Optimizer and Arithmetic Moving Average Technique for Enhancement.\u003cbr\u003e.- Evaluation of the Impact of Preprocessing and Selection of Characteristics on the Classification of Feelings.\u003cbr\u003e.- Density of States of Triangular Antiferromagnetic Ising Models of Finite Size.\u003cbr\u003e.- Language Foundations for HPC Array Structures.\u003cbr\u003e.- Design and Analysis of Recursive Algorithms - A Modern Perspective.\u003cbr\u003e.- Counting Nonisomorphic Magic Venn Diagrams.\u003cbr\u003e.- Enhanced Pneumonia Detection in Chest X-rays via KPCA and Multi-Kernel SVM.\u003cbr\u003e.- Network-Scale Fault Tolerant Computing - A von Neumann Multiprocessor Architecture.\u003cbr\u003e.- Investigating the Use of Quantum Computing and Quantum Machine Learning in Speech Recognition Systems: A Comprehensive Survey of Recent Advancements.\u003cbr\u003e\u003cstrong\u003e.- SECTION:  POSTER RESEARCH PAPERS\u003c\/strong\u003e\u003cbr\u003e.- High Performance Algorithms for Network Routing using In-Memory Computing\u003c\/p\u003e","brand":"Hamid R. Arabnia","offers":[{"title":"Default Title","offer_id":54181991416135,"sku":"9783032222114","price":90.94,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/emerging-trends-in-scientific-computing-and-theore-ebook-cover.webp?v=1781720296","url":"https:\/\/www.cinebuch.de\/products\/emerging-trends-in-scientific-computing-and-theoretical-computer-science-hamid-r-ebook","provider":"CineBuch","version":"1.0","type":"link"}