1 citations · 1 across the 10 of their papers we have counts for
11 papers
Sim-to-Real Reinforcement Learning for Path-Safe Target Reaching in Robotic Harvesting of Hydroponic Lettuce
Al Bashir, Partho Ghose, Yibin Wang +4
Robotic harvesting requires precise manipulation to ensure accurate positioning of the end-effector, especially in a constraint workspace. This study introduces the Path-Safe Appro…
Parameter-efficient Dual-encoder Architecture with Differentiable Choquet Integral Fusion for Underwater Acoustic Classification
Amirmohammad Mohammadi, Joshua Peeples, Alexandra Van Dine
Underwater acoustic classification has a wide array of oceanic applications, but faces challenges due to an increasingly complex acoustic environment. Waveform and spectrogram repr…
Evaluating GAN-LSTM for Smart Meter Anomaly Detection in Power Systems
Fahimeh Orvati Nia, Shima Salehi, Joshua Peeples
Advanced metering infrastructure (AMI) provides high-resolution electricity consumption data that can enhance monitoring, diagnosis, and decision making in modern power distributio…
LGDWT-GS: Local and Global Discrete Wavelet-Regularized 3D Gaussian Splatting for Sparse-View Scene Reconstruction
Shima Salehi, Atharva Agashe, Andrew J. McFarland +1
We propose a new method for few-shot 3D reconstruction that integrates global and local frequency regularization to stabilize geometry and preserve fine details under sparse-view c…
Neighborhood Feature Pooling for Remote Sensing Image Classification
Fahimeh Orvati Nia, Amirmohammad Mohammadi, Salim Al Kharsa +3
In this work, we introduce Neighborhood Feature Pooling (NFP), a novel pooling layer designed to enhance texture-aware representation learning for remote sensing image classificati…
Histogram-based Parameter-efficient Tuning for Passive and Active Sonar Classification
Amirmohammad Mohammadi, Davelle Carreiro, Alexandra Van Dine +1
Parameter-efficient transfer learning (PETL) methods adapt large artificial neural networks to downstream tasks without fine-tuning the entire model. However, existing additive met…
Quantitative Measures for Passive Sonar Texture Analysis
Jarin Ritu, Alexandra Van Dine, Joshua Peeples
Passive sonar signals contain complex characteristics often arising from environmental noise, vessel machinery, and propagation effects. While convolutional neural networks (CNNs)…
Neural Edge Histogram Descriptors for Underwater Acoustic Target Recognition
Atharva Agashe, Davelle Carreiro, Alexandra Van Dine +1
Numerous maritime applications rely on the ability to recognize acoustic targets using passive sonar. While there is a growing reliance on pre-trained models for classification tas…
Structural and Statistical Audio Texture Knowledge Distillation for Acoustic Classification
Jarin Ritu, Amirmohammad Mohammadi, Davelle Carreiro +2
While knowledge distillation has shown success in various audio tasks, its application to environmental sound classification often overlooks essential low-level audio texture featu…
Investigation of Time-Frequency Feature Combinations with Histogram Layer Time Delay Neural Networks
Amirmohammad Mohammadi, Iren'e Masabarakiza, Ethan Barnes +3
While deep learning has reduced the prevalence of manual feature extraction, transformation of data via feature engineering remains essential for improving model performance, parti…
Cross-Domain Knowledge Transfer for Underwater Acoustic Classification Using Pre-trained Models
Amirmohammad Mohammadi, Tejashri Kelhe, Davelle Carreiro +2
Transfer learning is commonly employed to leverage large, pre-trained models and perform fine-tuning for downstream tasks. The most prevalent pre-trained models are initially train…