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<title>Channels - A Mobile-Integrated Deep Learning Framework for Early Detection of Maize Diseases :: FRELIP Discovery
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Deep Learning Method for Early Detection of Lung Cancer using Deep Learning Algorithms
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Deep learning enabled computer vision in remanufacturing and refurbishment applications: defect detection and grading for smart phones
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SYMBOLIC ANALYSIS OF CLASSICAL NEURAL NETWORKS FOR DEEP LEARNING
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Towards Automated Diagnosis of Heart Diseases: A Study of Machine Learning Techniques
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A Systematic Approach for Heart Disease Analysis using Machine Learning Algorithms
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Deep Learning-Based Recognition of Handwritten Devanagari Multilevel Compound Characters: A Performance Comparison
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Swarms of Mobile Robots: Towards Versatility with Safety
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Generative AI for Sustainable Product Design: A Technology Convergence Framework Integrating Multi‐Objective Optimisation and Smart Manufacturing
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Recent progress and development prospects of mobile current sources
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Physics-Informed Deep Learning for Bearing Remaining Useful Life: Adaptive Paris-Law Regularization with Gaussian Processes
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Circularity potential of electric motors in e-mobility: methods, technologies, challenges
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Development of a mobile independent solar power plant based on solid-state heterojunction photocells for agricultural purposes
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LapGraph-CutFS: A Deep Learning-Based Framework for Multi-Class Classification of Maize Leaf Pests, Diseases, and Healthy States
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An Explainable Deep Learning Framework for Brain Tumor Detection Using MRI Images
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Deep refinement of tellurium: equipment and process improvement through process simulation
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An Explainable Deep Learning Framework for Automated Classification of Ocular Diseases in a Big Data Environment
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Detection of inhomogeneous magnetic fields using magnetoelectric composites
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Remanufacturing production planning and control: Conceptual framework for requirement definition
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The Performance, Feasibility, and Sustainability-Based Framework for Biomaterial Recommendation System for Packaging
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Exploring the Interaction of BeS Monolayer and Lung Disease Biomarkers: Potential Material for Biosensing Applications
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A Predictive Framework for Informing Hot Isostatic Pressing of Additively Manufactured Niobium: Connecting Process, Microstructure, and Strength
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Metal-organic frameworks and composites on their basis: structure, synthesis methods, electrochemical properties and application prospects (a review)
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Enhancing Underwater Object Detection through CNN-based Image Enhancement and Classification
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Electrochemical properties of CoMn/C based on zeolite-like metal-organic frameworks
