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Sensitivity

Papers

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Showing 701–750 of 2016 papers

TitleStatusHype
A Market-Clearing-based Sensitivity Model for Locational Marginal and Average Carbon Emission—0
Dense Pruning of Pointwise Convolutions in the Frequency Domain—0
Energy dissipation in an adaptive molecular circuit—0
Energy efficiency of DMAs vs. conventional MIMO: a sensitivity analysis—0
Engineering and Implementation of SimAEN—0
Enhanced Data-driven Topology Design Methodology with Multi-level Mesh and Correlation-based Mutation for Stress-related Multi-objective Optimization—0
Enhanced Fast Boolean Matching based on Sensitivity Signatures Pruning—0
Enhancing Biosecurity in Tamper-Resistant Large Language Models With Quantum Gradient Descent—0
Enhancing Courier Scheduling in Crowdsourced Last-Mile Delivery through Dynamic Shift Extensions: A Deep Reinforcement Learning Approach—0
Enhancing Cross-lingual Prompting with Two-level Augmentation—0
Enhancing Epileptic Seizure Detection with EEG Feature Embeddings—0
Enhancing Global Sensitivity and Uncertainty Quantification in Medical Image Reconstruction with Monte Carlo Arbitrary-Masked Mamba—0
Enhancing Image Resolution: A Simulation Study and Sensitivity Analysis of System Parameters for Resourcesat-3S/3SA—0
Enhancing Low Light Videos by Exploring High Sensitivity Camera Noise—0
Enhancing Monotonic Modeling with Spatio-Temporal Adaptive Awareness in Diverse Marketing—0
Enhancing mTBI Diagnosis with Residual Triplet Convolutional Neural Network Using 3D CT—0
Enhancing performance of coherent OTDR systems with polarization diversity complementary codes—0
Enhancing Policy Gradient with the Polyak Step-Size Adaption—0
DENS-ECG: A Deep Learning Approach for ECG Signal Delineation—0
Enhancing Radiology Diagnosis through Convolutional Neural Networks for Computer Vision in Healthcare—0
Enhancing Temporal Sensitivity and Reasoning for Time-Sensitive Question Answering—0
Enhancing Variable Importance in Random Forests: A Novel Application of Global Sensitivity Analysis—0
Democratizing Strategic Planning in Master-Planned Communities—0
Ensemble based approach to quantifying uncertainty of LLM based classifications—0
Ensemble Learning based Anomaly Detection for IoT Cybersecurity via Bayesian Hyperparameters Sensitivity Analysis—0
Bursty and persistent properties of large-scale brain networks revealed with a point-based method for dynamic functional connectivity—0
Entrainment in up and down states of neural populations: non-smooth and stochastic models—0
Entrainment of Lymphatic Contraction to Oscillatory Flow—0
Entropy analysis of word-length series of natural language texts: Effects of text language and genre—0
Epidemiological parameter sensitivity in Covid-19 dynamics and estimation—0
EpiDeNet: An Energy-Efficient Approach to Seizure Detection for Embedded Systems—0
Equilibria, Stability, and Sensitivity for the Aerial Suspended Beam Robotic System subject to Parameter Uncertainty—0
CAMBI: Contrast-aware Multiscale Banding Index—0
A new operation mode for depth-focused high-sensitivity ToF range finding—0
Exploiting the Sensitivity of L_2 Adversarial Examples to Erase-and-Restore—0
ERNIE-SPARSE: Robust Efficient Transformer Through Hierarchically Unifying Isolated Information—0
Can LLMs Maintain Fundamental Abilities under KV Cache Compression?—0
Estimating Driver Personality Traits from On-Road Driving Data—0
Estimating Neural Network Robustness via Lipschitz Constant and Architecture Sensitivity—0
Estimating the tails of the spectrum of the Hessian of the log-likelihood for ab-initio single-particle reconstruction in electron cryomicroscopy—0
GAS: Generating Fast and Accurate Surrogate Models for Autonomous Vehicle Systems—0
Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network—0
A trust-region method for stochastic variational inference with applications to streaming data—0
A machine learning approach to using Quality-of-Life patient scores in guiding prostate radiation therapy dosing—0
Evaluating LLMs on Chinese Topic Constructions: A Research Proposal Inspired by Tian et al. (2024)—0
Cascaded Neural Networks with Selective Classifiers and its evaluation using Lung X-ray CT Images—0
Evaluating Sensitivity Parameters in Smartphone-Based Gaze Estimation: A Comparative Study of Appearance-Based and Infrared Eye Trackers—0
Evaluating Sensitivity to the Stick-Breaking Prior in Bayesian Nonparametrics—0
Evaluating Spoken Language as a Biomarker for Automated Screening of Cognitive Impairment—0
A deep learning framework for the detection and quantification of drusen and reticular pseudodrusen on optical coherence tomography—0
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