Description

Book Synopsis

SECTION: LARGE LANGUAGE MODELS & METHODOLOGIES.- Large Language Models for Text Classification: A New Era of Accuracy and Efficiency.- Exploring New Methods of Data Augmentation for Intent Classification through Large Language Models.- Towards Evaluating Large Language Models for Graph Query Generation.- Logical Fallacy Detection in Text: Leveraging Large Language Models for Improving Human Discourse.- Hallucinations and Training-data Bias: Results from two number transcription experiments using GPT models.- SECTION: DEEP LEARNING & APPLICATIONS.- On the Effectiveness of UAV Audio Detection and Identification Using Deep Learning Models and Mel Spectrograms.-DRNMS: An Enhanced Deep Learning-Based System for Data Recovery and Anomaly Detection in Network Monitoring.- Voice Disorder Prediction with Convolutional Neural Network (CNN).- Unveiling the Unexpected: Transformer Outperforms Specialized Architectures in Volatile Supply Chain Forecasting.- SECTION: ARTIFICIAL INTELLIGENCE & PREDICTION METHODS.- Optimizing Predictive Performance: A Comparative Study of Machine Learning Algorithms for Classification Tasks.-Machine Learning-Based Prediction of Rabies Outbreaks Using Epidemiological and Environmental Data in Africa.- Assisting Personal Support Worker's e-Training with AI Prediction.- Predicting Late Delivery Risk in a Blockchain-based Supply Chain Management Architecture.-  SECTION: ARTIFICIAL INTELLIGENCE, MACHINE LEARNING, APPLICATIONS & ALGORITHMS.- Robots Playing Fair? - How Embodiment Shapes Trust and Perceptions of Cheating in AI.-Sentence-level Adversarial Examples in Arabic.- Analyzing Insurance Cost Estimation: A Supervised Regression Approach.- Collaborative Design between Intelligent Agents through Resource Sharing.- Early Detection of Mode Collapse in GANs Through Loss Monitoring.- DBRH-5: Legendre Polynomial-based Attention Mechanism in Dual-branch Hybrid-5 Towards Arrhythmia Diagnosis.- Sequential Disaggregation of Residential Energy Consumption Using Random Forest Regression.- A Declarative Approach to Tackle Sawmill Production Scheduling with Answer Set Programming.- Preferential Ensemble Method with Exponentially Weighted Scores and its Application to Facial Expression Classification.- Improving SOCIALDISTILBERT with Augmented Embeddings.- Next Generation Imminent Fracture Risk Assessment Using AI.- Multi-grain Parallel Processing of Intuctive Logic Programming.

Computational Science and Computational Intelligence

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    Order before 4pm today for delivery by Mon 15 Jun 2026.

    A Paperback by Hamid R. Arabnia

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      View other formats and editions of Computational Science and Computational Intelligence by Hamid R. Arabnia

      Publisher: Springer
      Publication Date: 26/05/2025
      ISBN13: 9783031903403, 978-3031903403
      ISBN10:

      Description

      Book Synopsis

      SECTION: LARGE LANGUAGE MODELS & METHODOLOGIES.- Large Language Models for Text Classification: A New Era of Accuracy and Efficiency.- Exploring New Methods of Data Augmentation for Intent Classification through Large Language Models.- Towards Evaluating Large Language Models for Graph Query Generation.- Logical Fallacy Detection in Text: Leveraging Large Language Models for Improving Human Discourse.- Hallucinations and Training-data Bias: Results from two number transcription experiments using GPT models.- SECTION: DEEP LEARNING & APPLICATIONS.- On the Effectiveness of UAV Audio Detection and Identification Using Deep Learning Models and Mel Spectrograms.-DRNMS: An Enhanced Deep Learning-Based System for Data Recovery and Anomaly Detection in Network Monitoring.- Voice Disorder Prediction with Convolutional Neural Network (CNN).- Unveiling the Unexpected: Transformer Outperforms Specialized Architectures in Volatile Supply Chain Forecasting.- SECTION: ARTIFICIAL INTELLIGENCE & PREDICTION METHODS.- Optimizing Predictive Performance: A Comparative Study of Machine Learning Algorithms for Classification Tasks.-Machine Learning-Based Prediction of Rabies Outbreaks Using Epidemiological and Environmental Data in Africa.- Assisting Personal Support Worker's e-Training with AI Prediction.- Predicting Late Delivery Risk in a Blockchain-based Supply Chain Management Architecture.-  SECTION: ARTIFICIAL INTELLIGENCE, MACHINE LEARNING, APPLICATIONS & ALGORITHMS.- Robots Playing Fair? - How Embodiment Shapes Trust and Perceptions of Cheating in AI.-Sentence-level Adversarial Examples in Arabic.- Analyzing Insurance Cost Estimation: A Supervised Regression Approach.- Collaborative Design between Intelligent Agents through Resource Sharing.- Early Detection of Mode Collapse in GANs Through Loss Monitoring.- DBRH-5: Legendre Polynomial-based Attention Mechanism in Dual-branch Hybrid-5 Towards Arrhythmia Diagnosis.- Sequential Disaggregation of Residential Energy Consumption Using Random Forest Regression.- A Declarative Approach to Tackle Sawmill Production Scheduling with Answer Set Programming.- Preferential Ensemble Method with Exponentially Weighted Scores and its Application to Facial Expression Classification.- Improving SOCIALDISTILBERT with Augmented Embeddings.- Next Generation Imminent Fracture Risk Assessment Using AI.- Multi-grain Parallel Processing of Intuctive Logic Programming.

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