A Novel Quantum-Based Authentication Method for IoT Devices using Quantum Physical Unclonable Functions

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Enhancing Underwater Object Detection through CNN-based Image Enhancement and Classification

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Deep Learning-Based Recognition of Handwritten Devanagari Multilevel Compound Characters: A Performance Comparison

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A Federated Learning-based Hybrid compression Technique for 3D Medical Images

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Towards Automated Diagnosis of Heart Diseases: A Study of Machine Learning Techniques

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Deep Learning Method for Early Detection of Lung Cancer using Deep Learning Algorithms

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A Mobile-Integrated Deep Learning Framework for Early Detection of Maize Diseases

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Development and Validation of a Cloud-Based Road Surface Condition Monitoring Framework using Citizen-Sourced Smartphone Sensor Data in the Philippines

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A Systematic Approach for Heart Disease Analysis using Machine Learning Algorithms

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Optimizing Multiple Log-Periodic Array Antenna Design for Low Sidelobe and High-Directivity Performance: A Parametric Approach

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Failure analysis and remanufacturing techniques in drilling and crushing equipment in mining industries: a review

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Optimizing warranty policies for remanufactured products: When should they be longer, shorter, or identical to new product warranties?

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Milling tool wear state classification and prediction using machine learning, homogeneous and heterogeneous ensemble learning approach

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Towards autonomous production control: a reinforcement learning-based model for hybrid remanufacturing systems

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Barriers, motivators and guidelines for remanufacturing of medical equipment to improve healthcare services in Nigeria: qualitative approach

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Sequencing and scheduling in disassembly shops: a review of problem formulations and solution approaches

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Semantic 3D product modelling for automated inspection in remanufacturing processes

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An experimental robotic cell for the disassembly of electric vehicle battery modules

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Overcoming barriers to enhance automotive remanufacturing in Brazil

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The remanufacturing activity: exploring operator assessment skills in train sector

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