scholarly journals Deep Learning Frameworks for Pavement Distress Classification: A Comparative Analysis

2020 ◽  
Author(s):  
Vishal Mandal ◽  
Abdul Rashid Mussah ◽  
Yaw Adu-Gyamfi
Keyword(s):  
Deep Learning ◽  
Comparative Analysis ◽  
Pavement Distress ◽  
Learning Frameworks

Sequence-Based Deep Learning Frameworks on Enhancer-Promoter Interactions Prediction

2020 ◽  
Vol 26 ◽  
Author(s):  
Xiaoping Min ◽  
Fengqing Lu ◽  
Chunyan Li
Keyword(s):  
Gene Expression ◽  
Deep Learning ◽  
Dna Sequences ◽  
Experimental Methods ◽  
Learning Methods ◽  
Comprehensive Review ◽  
Genomic Features ◽  
Disease Mechanisms ◽  
Evaluation Strategies ◽  
Learning Frameworks

: Enhancer-promoter interactions (EPIs) in the human genome are of great significance to transcriptional regulation which tightly controls gene expression. Identification of EPIs can help us better deciphering gene regulation and understanding disease mechanisms. However, experimental methods to identify EPIs are constrained by the fund, time and manpower while computational methods using DNA sequences and genomic features are viable alternatives. Deep learning methods have shown promising prospects in classification and efforts that have been utilized to identify EPIs. In this survey, we specifically focus on sequence-based deep learning methods and conduct a comprehensive review of the literatures of them. We first briefly introduce existing sequence-based frameworks on EPIs prediction and their technique details. After that, we elaborate on the dataset, pre-processing means and evaluation strategies. Finally, we discuss the challenges these methods are confronted with and suggest several future opportunities.

Comparative Analysis of Multivariable Deep Learning Models for Forecasting in Smart Grids

2020 ◽  
Author(s):  
E. Escobar Avalos ◽  
M. A. Rodriguez Licea ◽  
H. Rostro Gonzalez ◽  
A. Espinoza Calderon ◽  
A.I. Barranco Gutierrez ◽  
...  
Keyword(s):  
Deep Learning ◽  
Comparative Analysis ◽  
Smart Grids ◽  
Learning Models

Prediction and Comparative Analysis of Air Pollution in Major cities of India using Deep Learning Techniques

2021 ◽  
Author(s):  
Battula Bheemeswara Gopi Reddy ◽  
Chinthada Praveen ◽  
Marri Venkata Sai Kumar ◽  
Idamakanti Mani Raghavendra Reddy ◽  
Deepthi L. R
Keyword(s):  
Air Pollution ◽  
Deep Learning ◽  
Comparative Analysis ◽  
Learning Techniques

Algorithmically-consistent deep learning frameworks for structural topology optimization

2021 ◽  
Vol 106 ◽  
pp. 104483
Author(s):  
Jaydeep Rade ◽  
Aditya Balu ◽  
Ethan Herron ◽  
Jay Pathak ◽  
Rishikesh Ranade ◽  
...  
Keyword(s):  
Deep Learning ◽  
Topology Optimization ◽  
Structural Topology Optimization ◽  
Structural Topology ◽  
Learning Frameworks
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