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

November 16, 2023

Network Wide Evacuation Traffic Prediction in a Rapidly Intensifying Hurricane from Traffic Detectors and Facebook Movement Data: A Deep Learning Approach
Md Mobasshir Rashid, Rezaur Rahman, Samiul Hasan
Deep Learning Approach Social Medium Data Tropical Cyclone Hurricane Evacuation Evacuation Traffic

November 15, 2023

Point-of-Care Real-Time Signal Quality for Fetal Doppler Ultrasound Using a Deep Learning Approach
Mohsen Motie-Shirazi, Reza Sameni, Peter Rohloff, Nasim Katebi, Gari D. Clifford
Deep Learning Approach Deep Learning Framework Fetal Ultrasound Signal Quality Doppler Velocity Fetal Heart

November 9, 2023

November 8, 2023

November 7, 2023

A Deep Learning Approach to Video Anomaly Detection using Convolutional Autoencoders
Gopikrishna Pavuluri, Gayathri Annem
Deep Learning Approach Video Anomaly Detection Convolutional Autoencoder Surveillance Video Spatiotemporal Pattern

October 26, 2023

A Deep Learning Approach to Teeth Segmentation and Orientation from Panoramic X-rays
Mrinal Kanti Dhar, Mou Deb, D. Madhab, Zeyun Yu
Deep Learning Approach Tooth Segmentation Panoramic X Ray Head Orientation Teeth Segmentation Tooth Instance Segmentation

September 26, 2023

September 22, 2023

HydraScreen: A Generalizable Structure-Based Deep Learning Approach to Drug Discovery
Alvaro Prat, Hisham Abdel Aty, Gintautas Kamuntavičius, Tanya Paquet, Povilas Norvaišas, Piero Gasparotto, Roy Tal
Deep Learning Approach Drug Discovery Structure Based Drug Design High Throughput Protein Ligand

September 18, 2023

Deep smoothness WENO scheme for two-dimensional hyperbolic conservation laws: A deep learning approach for learning smoothness indicators
Tatiana Kossaczká, Ameya D. Jagtap, Matthias Ehrhardt
Deep Learning Approach Conservation Law Average Smoothness Shock Wave

September 17, 2023

Structure to Property: Chemical Element Embeddings and a Deep Learning Approach for Accurate Prediction of Chemical Properties
Shokirbek Shermukhamedov, Dilorom Mamurjonova, Michael Probst
Machine Learning Deep Learning Approach Inner Structure Molecular Data accuratE Prediction Computational Chemistry Chemical Structure Material Datasets MoleculeNet Benchmark

September 12, 2023

PCN: A Deep Learning Approach to Jet Tagging Utilizing Novel Graph Construction Methods and Chebyshev Graph Convolutions
Yash Semlani, Mihir Relan, Krithik Ramesh
Deep Learning Approach Jet Tagging Particle Collision

September 8, 2023

Mapping EEG Signals to Visual Stimuli: A Deep Learning Approach to Match vs. Mismatch Classification
Yiqian Yang, Zhengqiao Zhao, Qian Wang, Yan Yang, Jingdong Chen
Deep Learning Approach Neural Recording Visual Processing Event Related Potential Visual Stimulus Instance Dependent Noise Mismatch Classification Silhouette Coefficient

September 7, 2023

DeepCrysTet: A Deep Learning Approach Using Tetrahedral Mesh for Predicting Properties of Crystalline Materials
Hirofumi Tsuruta, Yukari Katsura, Masaya Kumagai
Deep Learning Approach Material Discovery Property Prediction Crystalline Material Material Project Crystal Graph Tetrahedral Mesh Delaunay Graph

August 23, 2023

Integrated Image and Location Analysis for Wound Classification: A Deep Learning Approach
Yash Patel, Tirth Shah, Mrinal Kanti Dhar, Taiyu Zhang, Jeffrey Niezgoda, Sandeep Gopalakrishnan, Zeyun Yu
Deep Learning Approach Composite Image Wound Image Location Analysis Wound Healing Wound Segmentation

August 20, 2023

Homogenising SoHO/EIT and SDO/AIA 171\AA$~$ Images: A Deep Learning Approach
Subhamoy Chatterjee, Andrés Muñoz-Jaramillo, Maher Dayeh, Hazel M. Bain, Kimberly Moreland
Deep Learning Approach Model Ensemble Electrical Impedance Tomography Solar Dynamic Observatory Space Weather Ensemble Uncertainty

August 14, 2023

Diagnosis of Scalp Disorders using Machine Learning and Deep Learning Approach -- A Review
Hrishabh Tiwari, Jatin Moolchandani, Shamla Mantri
Machine Learning Narrative Review Deep Learning Approach Medical Diagnosis Scalp Disease

August 7, 2023

Nerve Block Target Localization and Needle Guidance for Autonomous Robotic Ultrasound Guided Regional Anesthesia
Abhishek Tyagi, Abhay Tyagi, Manpreet Kaur, Richa Aggarwal, Kapil D. Soni, Jayanthi Sivaswamy, Anjan Trikha
Deep Learning Approach Ultrasound Video Brachial Plexus

Deep Learning Approach

Papers

Network Wide Evacuation Traffic Prediction in a Rapidly Intensifying Hurricane from Traffic Detectors and Facebook Movement Data: A Deep Learning Approach

Point-of-Care Real-Time Signal Quality for Fetal Doppler Ultrasound Using a Deep Learning Approach

SigScatNet: A Siamese + Scattering based Deep Learning Approach for Signature Forgery Detection and Similarity Assessment

Taxonomy for Resident Space Objects in LEO: A Deep Learning Approach

Determination of toxic comments and unintended model bias minimization using Deep learning approach

Solution of FPK Equation for Stochastic Dynamics Subjected to Additive Gaussian Noise via Deep Learning Approach

A Deep Learning Approach to Video Anomaly Detection using Convolutional Autoencoders

A Deep Learning Approach to Teeth Segmentation and Orientation from Panoramic X-rays

FDLS: A Deep Learning Approach to Production Quality, Controllable, and Retargetable Facial Performances

Evaluating Soccer Match Prediction Models: A Deep Learning Approach and Feature Optimization for Gradient-Boosted Trees

HydraScreen: A Generalizable Structure-Based Deep Learning Approach to Drug Discovery

Deep smoothness WENO scheme for two-dimensional hyperbolic conservation laws: A deep learning approach for learning smoothness indicators

Structure to Property: Chemical Element Embeddings and a Deep Learning Approach for Accurate Prediction of Chemical Properties

PCN: A Deep Learning Approach to Jet Tagging Utilizing Novel Graph Construction Methods and Chebyshev Graph Convolutions

Mapping EEG Signals to Visual Stimuli: A Deep Learning Approach to Match vs. Mismatch Classification

DeepCrysTet: A Deep Learning Approach Using Tetrahedral Mesh for Predicting Properties of Crystalline Materials

Integrated Image and Location Analysis for Wound Classification: A Deep Learning Approach

Homogenising SoHO/EIT and SDO/AIA 171\AA$~$ Images: A Deep Learning Approach

Diagnosis of Scalp Disorders using Machine Learning and Deep Learning Approach -- A Review

Nerve Block Target Localization and Needle Guidance for Autonomous Robotic Ultrasound Guided Regional Anesthesia