DL
Deep Learning
Neural networks, architectures and training at scale.
144,402 papers · Aggregated across sources — IEEE, arXiv, ACM, Springer, Elsevier and more.
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Multispecies Weed Detection Using Unmanned Aerial Vehicles and Deep Learning Object Detection Models in Utah Forage Crop Corn Field
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Viability Assessment of Bovine Embryos: A Public Dataset and Deep Learning Baselines
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Enhancing Surgical Time Prediction Using Hybrid Deep Learning Models for Intelligent Operating Room Scheduling and Hospital Efficiency
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Deep Learning-Based Classification and Analysis of Pulsar Candidates in Fermi-LAT Unassociated Sources
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A machine learning-based risk prediction model for Hospitalized patients with deep vein thrombosis
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Snow Water Equivalent trends in North America through the lens of passive microwaveremote sensing and deep learning models
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AI Powered Car Damage Detection Using Deep Learning
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Hybrid Deep Learning with Denoising Stacked Autoencoders for Agricultural Price Forecasting
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Using Deep Learning–Extracted Road Networks for More Accurate Small Satellite Geometric Correction
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Profile analysis of college students’ AI literacy and cognitive flexibility and its correlation with deep learning ability
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AI Based Fake Images and Videos Detection Using Deep Learning Model
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Forecasting Turkish Exports: A Comparative Study of Statistical, Machine Learning, and Deep Learning Methods
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Yield Enhancement And Prediction Of Crops Using Deep Learning
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AI-Driven Energy Management in Smart Microgrids with Renewable Integration Using Deep Reinforcement Learning
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A lightweight deep learning framework for image-based pothole classification and real-time video-based pothole detection
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Integrating Multi-Source Temperature Data and Explainable Deep Learning for Urban Microclimate Analysis
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Comparative Performance Analysis of Mainstream Deep Learning and Vision Foundation Models for Small-Sample Vegetation Segmentation in High-Resolution Remote Sensing Imagery
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Beyond Accuracy: A Lifecycle-Integrated Ethical Evaluation Framework for NLP and Deep Learning Systems
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Hybrid Information Mixing Module for Stock Movement Prediction: A Multimodal Deep Learning Approach with Bidirectional Recurrent Enhancement
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Aligning deep learning and interpretable models for blood cell classification: A dual-model framework for explainability
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From Conversations to Insights: Analysing Social Networks for Early Mental Health Detection - A Systematic Review of Causal Inference and Deep Learning
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Deep learning–based enhancement of feature tracking for sea ice drift estimation
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A Multi-Stage Deep Learning Framework for Shadow Detection in Aerial Orthophotos
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Enhancing the Urban Agglomeration Management Combining UAVs, Deep Learning, and WebGIS in Ho Chi Minh City, Vietnam
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Image quality evaluation of neonatal brain magnetic resonance imaging using a deep learning reconstruction algorithm: A quantitative and multireader study using variable denoising levels at 3 tesla