Deep Learning Approach

Deep learning approaches are revolutionizing diverse fields by applying artificial neural networks to complex problems, primarily aiming to automate tasks and improve prediction accuracy beyond the capabilities of traditional methods. Current research focuses on adapting various architectures, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), transformers, and U-Nets, to specific applications ranging from image analysis and signal processing to natural language processing and time series analysis. This versatility has significant implications, enabling advancements in areas such as medical diagnosis, environmental monitoring, industrial automation, and personalized services. The resulting improvements in efficiency and accuracy are driving substantial progress across numerous scientific disciplines and practical applications.

Papers

October 24, 2022

Novelty Detection in Time Series via Weak Innovations Representation: A Deep Learning Approach
Xinyi Wang, Mei-jen Lee, Qing Zhao, Lang Tong
Time Series Deep Learning Approach Novelty Detection Novel Sample

October 19, 2022

Visual Servoing with Geometrically Interpretable Neural Perception
Antonio Paolillo, Mirko Nava, Dario Piga, Alessandro Giusti
Deep Learning Approach Robotic Manipulator Visual Servoing Visual Feature

October 16, 2022

October 11, 2022

Digitization of Raster Logs: A Deep Learning Approach
M Quamer Nasim, Narendra Patwardhan, Tannistha Maiti, Tarry Singh
Deep Learning Approach User Digitization Well Data Rasterized Image

October 7, 2022

October 5, 2022

Stock Volatility Prediction using Time Series and Deep Learning Approach
Ananda Chatterjee, Hrisav Bhowmick, Jaydip Sen
Time Series Deep Learning Approach Time Series Clustering GARCH Model Stochastic Volatility Rough Volatility

September 28, 2022

September 25, 2022

A Deep Learning Approach to Analyzing Continuous-Time Systems
Cory Shain, William Schuler
Deep Learning Inherent Interpretability Deep Learning Approach Complex Process Continuous Time

September 19, 2022

A Deep Learning Approach for Parallel Imaging and Compressed Sensing MRI Reconstruction
Farhan Sadik, Md. Kamrul Hasan
Magnetic Resonance Imaging Deep Learning Approach Reconstruction Loss Parallel Imaging Compressed Sensing MRI

August 25, 2022

A deep learning approach to predict the number of k-barriers for intrusion detection over a circular region using wireless sensor networks
Abhilash Singh, J. Amutha, Jaiprakash Nagar, Sandeep Sharma
Data Detection Deep Learning Approach Intrusion Detection Knowledge Barrier Sensor Network Sensor Placement Packing Circle

August 24, 2022

A Deep Learning Approach Using Masked Image Modeling for Reconstruction of Undersampled K-spaces
Kyler Larsen, Arghya Pal, Yogesh Rathi
Full State Reconstruction Deep Learning Approach Masked Image Modeling Magnetic Resonance Image K Space Magnetic Resonance Image Reconstruction

August 12, 2022

Simulation of Atlantic Hurricane Tracks and Features: A Deep Learning Approach
Rikhi Bose, Adam L. Pintar, Emil Simiu
Simulation Study Deep Learning Approach Feature Wise Wind Speed Tropical Cyclone

August 8, 2022

Recovering the Graph Underlying Networked Dynamical Systems under Partial Observability: A Deep Learning Approach
Sérgio Machado, Anirudh Sridhar, Paulo Gil, Jorge Henriques, José M. F. Moura, Augusto Santos
Causal Inference Dynamical System Deep Learning Approach Partial Observability Graph Structure Learning Synthetic Network

August 4, 2022

Pattern Spotting and Image Retrieval in Historical Documents using Deep Hashing
Caio da S. Dias, Alceu de S. Britto, Jean P. Barddal, Laurent Heutte, Alessandro L. Koerich
Deep Learning Model Deep Model Deep Learning Approach Image Retrieval Pattern Recognition Historical Document Deep Hashing

August 3, 2022

A Deep Learning Approach to Detect Lean Blowout in Combustion Systems
Tryambak Gangopadhyay, Somnath De, Qisai Liu, Achintya Mukhopadhyay, Swarnendu Sen, Soumik Sarkar
Deep Learning Approach Efficient Engine Lean Blowout Combustion System

July 28, 2022

Subtype-Former: a deep learning approach for cancer subtype discovery with multi-omics data
Hai Yang, Yuhang Sheng, Yi Jiang, Xiaoyang Fang, Dongdong Li, Jing Zhang, Zhe Wang
Deep Learning Approach Multi Omics Data Cancer Subtype Cancer Subtyping

July 6, 2022

Deep Learning approach for Classifying Trusses and Runners of Strawberries
Jakub Pomykala, Francisco de Lemos, Isibor Kennedy Ihianle, David Ada Adama, Pedro Machado
Deep Learning Semantic Segmentation Deep Learning Approach Deep Learning Algorithm Structure Detection Training Run Berry Picking

Deep Learning Approach

Papers

Novelty Detection in Time Series via Weak Innovations Representation: A Deep Learning Approach

Visual Servoing with Geometrically Interpretable Neural Perception

Answer ranking in Community Question Answering: a deep learning approach

Towards Dynamic Fault Tolerance for Hardware-Implemented Artificial Neural Networks: A Deep Learning Approach

Digitization of Raster Logs: A Deep Learning Approach

A deep learning approach to solve forward differential problems on graphs

A deep learning approach for detection and localization of leaf anomalies

Stock Volatility Prediction using Time Series and Deep Learning Approach

A deep learning approach to the probabilistic numerical solution of path-dependent partial differential equations

Analysis and prediction of heart stroke from ejection fraction and serum creatinine using LSTM deep learning approach

A Deep Learning Approach to Analyzing Continuous-Time Systems

A Deep Learning Approach for Parallel Imaging and Compressed Sensing MRI Reconstruction

A deep learning approach to predict the number of k-barriers for intrusion detection over a circular region using wireless sensor networks

A Deep Learning Approach Using Masked Image Modeling for Reconstruction of Undersampled K-spaces

Simulation of Atlantic Hurricane Tracks and Features: A Deep Learning Approach

Recovering the Graph Underlying Networked Dynamical Systems under Partial Observability: A Deep Learning Approach

Pattern Spotting and Image Retrieval in Historical Documents using Deep Hashing

A Deep Learning Approach to Detect Lean Blowout in Combustion Systems

Subtype-Former: a deep learning approach for cancer subtype discovery with multi-omics data

Deep Learning approach for Classifying Trusses and Runners of Strawberries