Vol. 1 No. 1 (2023): Computational Intelligence Systems

Published: 2023-04-05

Articles

A Trustworthy Generative AI Risk Assessment Framework for Enterprise Information Systems

Donggao Shao, Deepak Saini, Dev D. Batra
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Reinforcement Learning-Driven Resource Allocation in Edge Computing Networks

Alexander Radford, Scott Callahan, Albert Carmichael
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Prompt-Injection Detection and Defense in LLM-Integrated Knowledge Management Systems

Stanley Beck, Zhi Gao, Milos Russell, Anders Miles
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Explainable AI Models for Clinical Decision Support Systems

Christopher Ashcroft, David Hargreaves, Gerald Thornton
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Multi-Modal Deep Learning for Real-Time Disaster Response Analytics

Samuel Callahan, Russell Kingsley, Benjamin Blackwell
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Adaptive Federated Learning Frameworks for Privacy-Preserving IoT Systems

Dylan Hensley, Christopher Telford, Theodore Hargreaves
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Federated Learning with Privacy-Preserving Optimization for Distributed Intelligent Systems

Rahul L. Bose
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Swarm Intelligence Optimization in Autonomous UAV Coordination

Leonard Westbrook, Peter Hawthorne, Christopher Grant
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Quantized Instruction-Tuned Language Models for Low-Resource Intelligent Service Automation

Mason J. Lopez, Martins Coleman, Bastian Diaz
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Reinforcement Learning for Adaptive Resource Allocation in Edge-Cloud Intelligent Computing Systems

Steven Fields, Haoyu Zhou, Zhengzhan Gu
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Graph Neural Network-Based Anomaly Detection for Smart Infrastructure Monitoring

Keith Chandra
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Memory-Efficient Fine-Tuning of Large Language Models for Enterprise Knowledge Automation

Ananya Natarajan, Zhen Mao, Jesse Eriksson, Arthur Martin
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Retrieval-Augmented Generation for Domain-Specific Intelligent Decision Support Systems

Aapo Craig, Brent Nieminen, Dong Wu
- PDF
Promptable Vision Foundation Models for Industrial Defect Segmentation and Quality Inspection

Dean Ortiz, Neeraj Mahajan, Mahesh Reddy
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Zero-Shot Image Segmentation Using Vision Foundation Models in Intelligent Diagnostic Systems

Arjun Malik, Lucas Fleming
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Vol. 1 No. 1 (2023): Computational Intelligence Systems

Articles

A Trustworthy Generative AI Risk Assessment Framework for Enterprise Information Systems

Reinforcement Learning-Driven Resource Allocation in Edge Computing Networks

Prompt-Injection Detection and Defense in LLM-Integrated Knowledge Management Systems

Explainable AI Models for Clinical Decision Support Systems

Multi-Modal Deep Learning for Real-Time Disaster Response Analytics

Adaptive Federated Learning Frameworks for Privacy-Preserving IoT Systems

Federated Learning with Privacy-Preserving Optimization for Distributed Intelligent Systems

Swarm Intelligence Optimization in Autonomous UAV Coordination

Quantized Instruction-Tuned Language Models for Low-Resource Intelligent Service Automation

Reinforcement Learning for Adaptive Resource Allocation in Edge-Cloud Intelligent Computing Systems

Graph Neural Network-Based Anomaly Detection for Smart Infrastructure Monitoring

Memory-Efficient Fine-Tuning of Large Language Models for Enterprise Knowledge Automation

Retrieval-Augmented Generation for Domain-Specific Intelligent Decision Support Systems

Promptable Vision Foundation Models for Industrial Defect Segmentation and Quality Inspection

Zero-Shot Image Segmentation Using Vision Foundation Models in Intelligent Diagnostic Systems

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