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

July 5, 2022

A Deep Learning Approach for the solution of Probability Density Evolution of Stochastic Systems
Seid H. Pourtakdoust, Amir H. Khodabakhsh
Surrogate Model Solution Path Deep Learning Approach Stochastic System Physic Constrained Density Evolution

July 2, 2022

SketchCleanNet -- A deep learning approach to the enhancement and correction of query sketches for a 3D CAD model retrieval system
Bharadwaj Manda, Prasad Kendre, Subhrajit Dey, Ramanathan Muthuganapathy
Search Query Deep Learning Approach Feature Enhancement CAD Model Better Retrieval CAD Model Retrieval

June 30, 2022

Privacy-preserving household load forecasting based on non-intrusive load monitoring: A federated deep learning approach
Xinxin Zhou, Jingru Feng, Jian Wang, Jianhong Pan
Deep Learning Approach Load Forecasting Non Intrusive Load Monitoring Federated Deep

June 17, 2022

A Deep Learning Approach for the Segmentation of Electroencephalography Data in Eye Tracking Applications
Lukas Wolf, Ard Kastrati, Martyna Beata Płomecka, Jie-Ming Li, Dustin Klebe, Alexander Veicht, Roger Wattenhofer, Nicolas Langer
Segmentation Based Approach Deep Learning Approach Eye Tracking Sleep Stage Electroencephalogram Data

May 31, 2022

A deep learning approach to halo merger tree construction
Sandra Robles, Jonathan S. Gómez, Adín Ramírez Rivera, Nelson D. Padilla, Diego Dujovne
Deep Learning Approach Galaxy Formation Dark Matter Halo Merger Tree

May 30, 2022

A Deep Learning Approach for Automatic Detection of Qualitative Features of Lecturing
Anna Wroblewska, Jozef Jasek, Bogdan Jastrzebski, Stanislaw Pawlak, Anna Grzywacz, Cheong Siew Ann, Tan Seng Chee, Tomasz Trzcinski, Janusz Holyst
Machine Learning Deep Learning Approach Automatic Detection Computer Vision Technique Lecture Video Qualitative Feature

May 25, 2022

Analytics of Business Time Series Using Machine Learning and Bayesian Inference
Bohdan M. Pavlyshenko
Machine Learning Predictive Model Bayesian Inference Deep Learning Approach Financial Time Series Data Analytics Non Stationary Time Series Bitcoin Price

May 15, 2022

Inverse design of nano-photonic wavelength demultiplexer with a deep neural network approach
Mengwei Yuan, Gang Yang, Shijie Song, Luping Zhou, Robert Minasian, Xiaoke Yi
Deep Learning Approach Inverse Design Nanophotonic Device Photonic Circuit Neural Inverse

May 5, 2022

April 27, 2022

Channel Pruned YOLOv5-based Deep Learning Approach for Rapid and Accurate Outdoor Obstacles Detection
Zeqian Li, Yuwei Wang, Kexun Chen, Zhibin Yu
Deep Learning Approach Pruning Method Two Stage Channel Pruning Target Detection Detection Network Convolutional Structure

April 26, 2022

Parkinson's disease diagnostics using AI and natural language knowledge transfer
Maurycy Chronowski, Maciej Klaczynski, Malgorzata Dec-Cwiek, Karolina Porebska
Artificial Intelligence Deep Learning Approach Parkinson Disease Speech Recording Disease Diagnostics Audio Classifier

April 9, 2022

A Deep Learning Approach for Predicting Two-dimensional Soil Consolidation Using Physics-Informed Neural Networks (PINN)
Yue Lu, Gang Mei, Francesco Piccialli
Physic Informed Neural Network Deep Learning Approach Memory Consolidation Three Dimensional Terzaghi Consolidation

March 29, 2022

A Deep Learning Approach for Thermal Plume Prediction of Groundwater Heat Pumps
Raphael Leiteritz, Kyle Davis, Miriam Schulte, Dirk Pflüger
Surrogate Model Deep Learning Approach Gas Plume Groundwater Flow Subsurface Temperature Subsurface Model

March 23, 2022

A Deep Learning Approach to Probabilistic Forecasting of Weather
Nick Rittler, Carlo Graziani, Jiali Wang, Rao Kotamarthi
Deep Learning Approach Probabilistic Forecast Forecast Distribution Probabilistic Machine Learning Atmospheric State

March 22, 2022

Analysis of Disfluencies for automatic detection of Mild Cognitive Impartment: a deep learning approach
Karmele Lopez-de-Ipiña, Unai Martinez de Lizarduy, Pilar Calvo, Blanca Beita, Joseba García-Melero, Miriam Ecay-Torres, Ainara Estanga, Marcos Faundez-Zanuy
Deep Learning Convolutional Neural Network General Analysis Deep Learning Approach Automatic Detection Mild Cognitive Impairment Cognitive Decline Speech Disfluency

March 19, 2022

Gated Recurrent Unit based Autoencoder for Optical Link Fault Diagnosis in Passive Optical Networks
Khouloud Abdelli, Florian Azendorf, Helmut Griesser, Carsten Tropschug, Stephan Pachnicke
Supervised Autoencoder Deep Learning Approach Gated Recurrent Unit Experimental Result Passive Optical Network Fiber Fault

March 16, 2022

Playing with blocks: Toward re-usable deep learning models for side-channel profiled attacks
Servio Paguada, Lejla Batina, Ileana Buhan, Igor Armendariz
Deep Learning Approach Dynamic ModulE Side Channel Model Reuse Honeycomb Block Modular Network

March 15, 2022

Securing the Classification of COVID-19 in Chest X-ray Images: A Privacy-Preserving Deep Learning Approach
Wadii Boulila, Adel Ammar, Bilel Benjdira, Anis Koubaa
Deep Learning Classification Code Covid 19 Deep Learning Approach Homomorphic Encryption Chest X Ray Image

March 7, 2022

Joint brain tumor segmentation from multi MR sequences through a deep convolutional neural network
Farzaneh Dehghani, Alireza Karimian, Hossein Arabi
Deep Convolutional Neural Network Deep Learning Approach Brain Tumor Segmentation MRI Sequence

Deep Learning Approach

Papers

A Deep Learning Approach for the solution of Probability Density Evolution of Stochastic Systems

SketchCleanNet -- A deep learning approach to the enhancement and correction of query sketches for a 3D CAD model retrieval system

Privacy-preserving household load forecasting based on non-intrusive load monitoring: A federated deep learning approach

A Deep Learning Approach for the Segmentation of Electroencephalography Data in Eye Tracking Applications

A deep learning approach to halo merger tree construction

A Deep Learning Approach for Automatic Detection of Qualitative Features of Lecturing

Analytics of Business Time Series Using Machine Learning and Bayesian Inference

Inverse design of nano-photonic wavelength demultiplexer with a deep neural network approach

A Deep Learning Approach to Dst Index Prediction

DeepExtrema: A Deep Learning Approach for Forecasting Block Maxima in Time Series Data

Channel Pruned YOLOv5-based Deep Learning Approach for Rapid and Accurate Outdoor Obstacles Detection

Parkinson's disease diagnostics using AI and natural language knowledge transfer

A Deep Learning Approach for Predicting Two-dimensional Soil Consolidation Using Physics-Informed Neural Networks (PINN)

A Deep Learning Approach for Thermal Plume Prediction of Groundwater Heat Pumps

A Deep Learning Approach to Probabilistic Forecasting of Weather

Analysis of Disfluencies for automatic detection of Mild Cognitive Impartment: a deep learning approach

Gated Recurrent Unit based Autoencoder for Optical Link Fault Diagnosis in Passive Optical Networks

Playing with blocks: Toward re-usable deep learning models for side-channel profiled attacks

Securing the Classification of COVID-19 in Chest X-ray Images: A Privacy-Preserving Deep Learning Approach

Joint brain tumor segmentation from multi MR sequences through a deep convolutional neural network