Image de couverture de livre

Leaf Spectral Reflectance Prediction Using Multi-Head Attention Neural Networks

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Farajpoor, Parastoo, Pourreza, Alireza, Narimani, Mohammadreza, El-Kereamy, Ashraf, Fidelibus, Matthew W.
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning Image and Video Processing Signal Processing 68T07, 68T05 I.2.6; I.5.1; J.2
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Sentinel-2 for Crop Yield Estimation: A Systematic Review
par: Narimani, Mohammadreza, et autres
Publié: (2026)

Early Detection of Branched Broomrape (Phelipanche ramosa) Infestation in Tomato Crops Using Leaf Spectral Analysis and Machine Learning
par: Narimani, Mohammadreza, et autres
Publié: (2025)

Mapping Tomato Cropping Systems in California Using AlphaEarth Geospatial Embeddings and Deep Learning Analysis
par: Narimani, Mohammadreza, et autres
Publié: (2026)

VDW-GNNs: Vector diffusion wavelets for geometric graph neural networks
par: Johnson, David R., et autres
Publié: (2025)

Revisiting GAN with Bayes-Optimal Discrimination
par: Naeini, Mohammadreza Tavasoli, et autres
Publié: (2025)

Scalable, Technology-Agnostic Diagnosis and Predictive Maintenance for Point Machine using Deep Learning
par: Di Santi, Eduardo, et autres
Publié: (2025)

EchoLSTM: A Self-Reflective Recurrent Network for Stabilizing Long-Range Memory
par: K, Prasanth K, et autres
Publié: (2025)

CellARC: Measuring Intelligence with Cellular Automata
par: Lžičař, Miroslav
Publié: (2025)

A Lightweight Privacy-Preserving Scheme Using Label-based Pixel Block Mixing for Image Classification in Deep Learning
par: Xiang, Yuexin, et autres
Publié: (2021)

Iterative Importance Fine-tuning of Diffusion Models
par: Denker, Alexander, et autres
Publié: (2025)

Explicit Dropout: Deterministic Regularization for Transformer Architectures
par: Agrawal, Vidhi, et autres
Publié: (2026)

Massive Redundancy in Gradient Transport Enables Sparse Online Learning
par: Merin, Aur Shalev
Publié: (2026)

Optimizing Inference in Transformer-Based Models: A Multi-Method Benchmark
par: Ho, Siu Hang, et autres
Publié: (2025)

Is Cambodia the World's Largest Cashew Producer?
par: Chaya, Veasna, et autres
Publié: (2024)

How Much Temporal Modeling is Enough? A Systematic Study of Hybrid CNN-RNN Architectures for Multi-Label ECG Classification
par: Jafari, Alireza, et autres
Publié: (2026)

The Normalized Difference Layer: A Differentiable Spectral Index Formulation for Deep Learning
par: Lotfi, Ali, et autres
Publié: (2026)

torchsom: The Reference PyTorch Library for Self-Organizing Maps
par: Berthier, Louis, et autres
Publié: (2025)

Robust brain age estimation from structural MRI with contrastive learning
par: Barbano, Carlo Alberto, et autres
Publié: (2025)

Adaptive Negative Scheduling for Graph Contrastive Learning
par: Ali, Adnan, et autres
Publié: (2026)

The Impact of Data Characteristics on GNN Evaluation for Detecting Fake News
par: Karn, Isha, et autres
Publié: (2025)

H-Model: Dynamic Neural Architectures for Adaptive Processing
par: Hospodarchuk, Dmytro
Publié: (2025)

Brain Stroke Classification Using Wavelet Transform and MLP Neural Networks on DWI MRI Images
par: Mohammadi, Mana, et autres
Publié: (2025)

SigGate-GT: Taming Over-Smoothing in Graph Transformers via Sigmoid-Gated Attention
par: Guo, Dongxin, et autres
Publié: (2026)

CVCM Track Circuits Pre-emptive Failure Diagnostics for Predictive Maintenance Using Deep Neural Networks
par: Mukherjee, Debdeep, et autres
Publié: (2025)

DeepInverse: A Python package for solving imaging inverse problems with deep learning
par: Tachella, Julián, et autres
Publié: (2025)

Neural Encoding for Image Recall: Human-Like Memory
par: Foussereau, Virgile, et autres
Publié: (2024)

PatchFormer: A Patch-Based Time Series Foundation Model with Hierarchical Masked Reconstruction and Cross-Domain Transfer Learning for Zero-Shot Multi-Horizon Forecasting
par: Imanov, Olaf Yunus Laitinen, et autres
Publié: (2026)

Revisiting Non-separable Binary Classification and its Applications in Anomaly Detection
par: Lau, Matthew, et autres
Publié: (2023)

Deep-learning-based electrode action potential mapping (DEAP Mapping) from annotation-free unipolar electrogram
par: Seno, Hiroshi, et autres
Publié: (2024)

Predicting Traffic Accident Severity with Deep Neural Networks
par: Bibb, Meghan, et autres
Publié: (2025)

Wafer Map Defect Classification Using Autoencoder-Based Data Augmentation and Convolutional Neural Network
par: Bao, Yin-Yin, et autres
Publié: (2024)

Predictive Modeling of Maritime Radar Data Using Transformer Architecture
par: Qesaraku, Bjorna, et autres
Publié: (2025)

The Inhibitor: ReLU and Addition-Based Attention for Efficient Transformers under Fully Homomorphic Encryption on the Torus
par: Brännvall, Rickard, et autres
Publié: (2023)

Prediction-space knowledge markets for communication-efficient federated learning on multimedia tasks
par: Du, Wenzhang
Publié: (2025)

multivariateGPT: a decoder-only transformer for multivariate categorical and numeric data
par: Loza, Andrew J., et autres
Publié: (2025)

DecompKAN: Decomposed Patch-KAN for Long-Term Time Series Forecasting
par: Mysore, Naveen
Publié: (2026)

Scaling Laws in the Tiny Regime: How Small Models Change Their Mistakes
par: Alnemari, Mohammed, et autres
Publié: (2026)

Complex-Valued Phase-Coherent Transformer
par: Hioki, Leona
Publié: (2026)

Optimized Gradient Clipping for Noisy Label Learning
par: Ye, Xichen, et autres
Publié: (2024)

Geometric-Stochastic Multimodal Deep Learning for Predictive Modeling of SUDEP and Stroke Vulnerability
par: Girish, Preksha, et autres
Publié: (2025)