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

June 9, 2023

Everybody Compose: Deep Beats To Music
Conghao Shen, Violet Z. Yao, Yixin Liu
LSTM Network Deep Learning Approach Music Industry Form Like Document Rhythm Game Novel Task Rhythmic Pattern

May 31, 2023

MicroSegNet: A Deep Learning Approach for Prostate Segmentation on Micro-Ultrasound Images
Hongxu Jiang, Muhammad Imran, Preethika Muralidharan, Anjali Patel, Jake Pensa, Muxuan Liang, Tarik Benidir, Joseph R. Grajo, Jason P. Joseph, Russell Terry, John Michael DiBianco, Li-Ming Su, Yuyin Zhou, Wayne G. Brisbane, Wei Shao
Deep Learning Approach Prostate Segmentation Micro Ultrasound

May 26, 2023

Dual Bayesian ResNet: A Deep Learning Approach to Heart Murmur Detection
Benjamin Walker, Felix Krones, Ivan Kiskin, Guy Parsons, Terry Lyons, Adam Mahdi
Deep Learning Approach ResNet Based Heart Sound MURMUR Detection

May 23, 2023

A Deep Learning Approach for Generating Soft Range Information from RF Data
Yuxiao Li, Santiago Mazuelas, Yuan Shen
Deep Learning Approach Indoor Localization Accurate Localization Radio Frequency Novel RF Editing Pipeline Consistent Range Approximation

April 11, 2023

Artificial intelligence based prediction on lung cancer risk factors using deep learning
Muhammad Sohaib, Mary Adewunmi
Deep Learning Artificial Intelligence Human Prediction Deep Learning Approach Direct Convolution Lung Cancer Risk Factor

April 9, 2023

A Deep Learning Approach Towards Generating High-fidelity Diverse Synthetic Battery Datasets
Janamejaya Channegowda, Vageesh Maiya, Chaitanya Lingaraj
Deep Learning Approach Battery Datasets

April 8, 2023

Predicting Short Term Energy Demand in Smart Grid: A Deep Learning Approach for Integrating Renewable Energy Sources in Line with SDGs 7, 9, and 13
Md Saef Ullah Miah, Junaida Sulaiman, Md. Imamul Islam, Md. Masuduzzaman, Nimay Chandra Giri, Siddhartha Bhattacharyya, Segbedji Geraldo Favi, Leo Mrsic
Deep Learning Approach Energy Consumption Power Grid Smart Grid Consumption Forecasting Sustainable Development Goal Renewable Energy Source

April 2, 2023

MWaste: A Deep Learning Approach to Manage Household Waste
Suman Kunwar
Computer Vision Deep Learning Approach Advanced Textile Recycling Efficient Waste

March 27, 2023

Real-Time Bus Arrival Prediction: A Deep Learning Approach for Enhanced Urban Mobility
Narges Rashvand, Sanaz Sadat Hosseini, Mona Azarbayjani, Hamed Tabkhi
Deep Learning Approach Public Transit Urban Mobility Bus Arrival

March 17, 2023

MassNet: A Deep Learning Approach for Body Weight Extraction from A Single Pressure Image
Ziyu Wu, Quan Wan, Mingjie Zhao, Yi Ke, Yiran Fang, Zhen Liang, Fangting Xie, Jingyuan Cheng
Deep Learning Approach Weight Estimation K Net Weight Prediction Smart Pressure E Mat

March 14, 2023

Delay-SDE-net: A deep learning approach for time series modelling with memory and uncertainty estimates
Mari Dahl Eggen, Alise Danielle Midtfjord
Time Series High Uncertainty Anticipation Deep Learning Approach Memory Trace Neural Network Model Stochastic Model Stochastic Delay

March 13, 2023

March 1, 2023

D4FT: A Deep Learning Approach to Kohn-Sham Density Functional Theory
Tianbo Li, Min Lin, Zheyuan Hu, Kunhao Zheng, Giovanni Vignale, Kenji Kawaguchi, A. H. Castro Neto, Kostya S. Novoselov, Shuicheng Yan
Neural Network Deep Learning Approach Kohn Sham

February 28, 2023

Time Series Anomaly Detection in Smart Homes: A Deep Learning Approach
Somayeh Zamani, Hamed Talebi, Gunnar Stevens
Supervised Autoencoder Deep Learning Approach Power Consumption Smart Home

February 23, 2023

A Deep Neural Network Based Approach to Building Budget-Constrained Models for Big Data Analysis
Rui Ming, Haiping Xu, Shannon E. Gibbs, Donghui Yan, Ming Shao
Deep Learning Deep Neural Network Deep Learning Approach DNN Model Big Data Budget Constraint

February 18, 2023

Deep AHS: A Deep Learning Approach to Acoustic Howling Suppression
Hao Zhang, Meng Yu, Dong Yu
Recurrent Neural Network Deep Learning Approach Acoustic Howling Suppression

February 16, 2023

The ADMM-PINNs Algorithmic Framework for Nonsmooth PDE-Constrained Optimization: A Deep Learning Approach
Yongcun Song, Xiaoming Yuan, Hangrui Yue
Optimization Purpose Physic Informed Neural Network Deep Learning Approach Nonsmooth Dynamical System

February 5, 2023

Deep Learning Approach for Early Stage Lung Cancer Detection
Saleh Abunajm, Nelly Elsayed, Zag ElSayed, Murat Ozer
Deep Learning Model Deep Learning Approach Lung Cancer Lung Nodule Malignancy Lung Cancer Screening

February 2, 2023

Deep COVID-19 Forecasting for Multiple States with Data Augmentation
Chung Yan Fong, Dit-Yan Yeung
Data Augmentation Covid 19 Deep Learning Approach Novel Data Augmentation Year Specific Mortality Surface

Deep Learning Approach

Papers

Everybody Compose: Deep Beats To Music

MicroSegNet: A Deep Learning Approach for Prostate Segmentation on Micro-Ultrasound Images

Dual Bayesian ResNet: A Deep Learning Approach to Heart Murmur Detection

A Deep Learning Approach for Generating Soft Range Information from RF Data

Artificial intelligence based prediction on lung cancer risk factors using deep learning

A Deep Learning Approach Towards Generating High-fidelity Diverse Synthetic Battery Datasets

Predicting Short Term Energy Demand in Smart Grid: A Deep Learning Approach for Integrating Renewable Energy Sources in Line with SDGs 7, 9, and 13

MWaste: A Deep Learning Approach to Manage Household Waste

Real-Time Bus Arrival Prediction: A Deep Learning Approach for Enhanced Urban Mobility

MassNet: A Deep Learning Approach for Body Weight Extraction from A Single Pressure Image

Delay-SDE-net: A deep learning approach for time series modelling with memory and uncertainty estimates

Handwritten Word Recognition using Deep Learning Approach: A Novel Way of Generating Handwritten Words

Deep Learning Approach for Classifying the Aggressive Comments on Social Media: Machine Translated Data Vs Real Life Data

D4FT: A Deep Learning Approach to Kohn-Sham Density Functional Theory

Time Series Anomaly Detection in Smart Homes: A Deep Learning Approach

A Deep Neural Network Based Approach to Building Budget-Constrained Models for Big Data Analysis

Deep AHS: A Deep Learning Approach to Acoustic Howling Suppression

The ADMM-PINNs Algorithmic Framework for Nonsmooth PDE-Constrained Optimization: A Deep Learning Approach

Deep Learning Approach for Early Stage Lung Cancer Detection

Deep COVID-19 Forecasting for Multiple States with Data Augmentation