„Computer Graphics.“
Suchergebnisse
10.000+ Treffer
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Intelligent Reasonable Optimization for Virtual Machine Provisioning in Hybrid Cloud Using Fuzzy AHP and Cost-Effective Autoscaling
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Optimizing Retail Supply Chain Sales Forecasting with a Mayfly Algorithm-Enhanced Bidirectional Gated Recurrent Unit
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Leveraging neural networks (RNN_LSTM) in enhancing energy efficiency and network lifetime in WSNs
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Deployment of Speaker Identification System onto ESP32-DevKitC Microcontroller Using Neural Network and TensorFlow Lite
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LLM-GA: A hybrid framework to build dynamic websites for optimizing web performance
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Multi-level fingerprinting approach for wireless localization management using CNN and OFDM
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Conditional Orangutan Optimization Algorithm Based FractalCovNet for Chili Lead Disease Detection
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Optimizing diesel generators in industrial settings with IoT and machine learning
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BPBO-LSTM-BiGRU: generative adversial network with brood Parasitism-Based optimization for spinal muscular atrophy using multiple visual modalities
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An integrated BSC – DEA approach to evaluate the efficiency of Taiwanese IC design companies
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A hybrid ensemble model for ransomware detection using feature engineering and deep learning
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Utilization and assessment of MLP-ANN framework to forecast quality of water for irrigation purposes
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Precision Agriculture Using a Two-Tier ML Model: Integrating aKNCN Soil Classification with ELM-mBOA Yield Prediction
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Enhancing Learning and Social Skills in Children with ASD-MLN: An Exploratory Study with Augmented Reality Intervention
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Secure Cloud Assisted Fog Computing Framework for IoT Applications Using Ensemble Learning
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Hybrid IoT security model with integration of LSTM, BERT, ROBERTA and transform learning for attack classification
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Deep Learning-Based Multi-Class Plant Disease Recognition and Classification for Diverse Crops
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LSTM-FFAM: utilization of long-short term memory recurrent neural network with feed forward attention mechanism for detection of replay attacks in wireless sensor networks
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A Semantic-driven approach to detect Type-4 code clones by using AST and PDG
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A deep learning approach with data augmentation for robust SAHS classification from nasal pressure signals