Deep Learning

Deep learning, a subfield of machine learning, focuses on training artificial neural networks with multiple layers to extract complex patterns from data. Current research emphasizes improving model robustness against noisy or adversarial inputs, exploring efficient architectures like Vision Transformers and convolutional LSTMs for various tasks (e.g., image classification, time series forecasting), and integrating physics-informed approaches for enhanced interpretability and reliability. These advancements are significantly impacting diverse fields, from automated industrial inspection and medical image analysis to improved weather forecasting and more efficient content moderation systems.

Papers

September 24, 2024

Proactive Schemes: A Survey of Adversarial Attacks for Social Good
Vishal Asnani, Xi Yin, Xiaoming Liu
Deep Learning Timely Survey Adversarial Attack Deep Learning Model Deep Learning Technology ProActive Behavior
Deep Learning for Precision Agriculture: Post-Spraying Evaluation and Deposition Estimation
Harry Rogers, Tahmina Zebin, Grzegorz Cielniak, Beatriz De La Iglesia, Ben Magri
Deep Learning Precision Agriculture Post Hoc Spatial Pattern Disaster Imagery Coating Chamber
Segmentation Strategies in Deep Learning for Prostate Cancer Diagnosis: A Comparative Study of Mamba, SAM, and YOLO
Ali Badiezadeh, Amin Malekmohammadi, Seyed Mostafa Mirhassani, Parisa Gifani, Majid Vafaeezadeh
Deep Learning Medical Image Analysis Prostate Cancer Accurate Segmentation Segmentation Method YOLO Shake Hand Elev Vision Sam Mamba UNet
Generative 3D Cardiac Shape Modelling for In-Silico Trials
Andrei Gasparovici, Alex Serban
Deep Learning Neural Field Motion Tracking Human Mesh Silico Study
LTNtorch: PyTorch Implementation of Logic Tensor Networks
Tommaso Carraro, Luciano Serafini, Fabio Aiolli
Deep Learning Neuro Symbolic Practical Implementation Fuzzy Logic Learning Framework Logic Tensor Network
Deep Learning Techniques for Automatic Lateral X-ray Cephalometric Landmark Detection: Is the Problem Solved?
Hongyuan Zhang, Ching-Wei Wang, Hikam Muzakky, Juan Dai, Xuguang Li, Chenglong Ma, Qian Wu, Xianan Cui, Kunlun Xu, Pengfei He, Dongqian Guo, Xianlong Wang, Hyunseok Lee, Zhangnan Zhong, Zhu Zhu, Bingsheng Huang
Deep Learning Right Problem Cephalometric Landmark Cephalometric Analysis
Deep-learning real-time phase retrieval of imperfect diffraction patterns from X-ray free-electron lasers
Sung Yun Lee, Do Hyung Cho, Chulho Jung, Daeho Sung, Daewoong Nam, Sangsoo Kim, Changyong Song
Deep Learning X Ray Phase Retrieval Diffraction Pattern Phase Reconstruction Free Electron Laser

September 23, 2024

On-Air Deep Learning Integrated Semantic Inference Models for Enhanced Earth Observation Satellite Networks
Hong-fu Chou, Vu Nguyen Ha, Prabhu Thiruvasagam, Thanh-Dung Le, Geoffrey Eappen, Ti Ti Nguyen, Luis M. Garces-Socarras, Jorge L. Gonzalez-Rios, Juan Carlos Merlano-Duncan, Symeon Chatzinotas
Deep Learning Semantic Communication Semantic Description Earth Observation Multispectral Satellite Satellite Network
VARADE: a Variational-based AutoRegressive model for Anomaly Detection on the Edge
Alessio Mascolini, Sebastiano Gaiardelli, Francesco Ponzio, Nicola Dall'Ora, Enrico Macii, Sara Vinco, Santa Di Cataldo, Franco Fummi
Deep Learning Anomaly Detection Variational Inference Extreme Edge Autoregressive Model

September 21, 2024

Component-based Sketching for Deep ReLU Nets
Di Wang, Shao-Bo Lin, Deyu Meng, Feilong Cao
Deep Learning Deep Network Deep ReLU Network Sketching System

September 20, 2024

Investigation of Time-Frequency Feature Combinations with Histogram Layer Time Delay Neural Networks
Amirmohammad Mohammadi, Iren'e Masabarakiza, Ethan Barnes, Davelle Carreiro, Alexandra Van Dine, Joshua Peeples
Deep Learning Comprehensive Investigation Time Frequency Audio Signal Time Delay Neural Network Underwater Acoustic Signal
Deep Learning-Based Channel Squeeze U-Structure for Lung Nodule Detection and Segmentation
Mingxiu Sui, Jiacheng Hu, Tong Zhou, Zibo Liu, Likang Wen, Junliang Du
Deep Learning Segmentation Based Approach Automatic Detection Lung Cancer U Shaped Network
Morphological Detection and Classification of Microplastics and Nanoplastics Emerged from Consumer Products by Deep Learning
Hadi Rezvani, Navid Zarrabi, Ishaan Mehta, Christopher Kolios, Hussein Ali Jaafar, Cheng-Hao Kao, Sajad Saeedi, Nariman Yousefi
Deep Learning Classification Code Automatic Detection Microplastics Data Morphological Tokenization Plastic Bag
Recent Advances in Non-convex Smoothness Conditions and Applicability to Deep Linear Neural Networks
Vivak Patel, Christian Varner
Deep Learning Recent Advance Deep Linear Applicability Study Generalized Smoothness
Neural filtering for Neural Network-based Models of Dynamic Systems
Parham Oveissi, Turibius Rozario, Ankit Goel
Deep Learning Neural Topic Extended Kalman Filter Long Term Prediction Neural Network Prediction Neural Filtering
Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Tensorflow Pretrained Models
Keyu Chen, Ziqian Bi, Qian Niu, Junyu Liu, Benji Peng, Sen Zhang, Ming Liu, Ming Li, Xuanhe Pan, Jiawei Xu, Jinlang Wang, Pohsun Feng
Deep Learning Machine Learning Pre Trained Model Image Classification Pre Trained Big Data Tensorflow Probability
A generalizable framework for unlocking missing reactions in genome-scale metabolic networks using deep learning
Xiaoyi Liu, Hongpeng Yang, Chengwei Ai, Ruihan Dong, Yijie Ding, Qianqian Yuan, Jijun Tang, Fei Guo
Deep Learning Model Generalizability Metabolic Network Patient Phenotype Segmentation and Genome Annotation
Deep Learning based Optical Image Super-Resolution via Generative Diffusion Models for Layerwise in-situ LPBF Monitoring
Francis Ogoke, Sumesh Kalambettu Suresh, Jesse Adamczyk, Dan Bolintineanu, Anthony Garland, Michael Heiden, Amir Barati Farimani
Deep Learning Super Resolution High Resolution Generative Diffusion Model Reconstruction Quality Laser Powder Bed Fusion Situ Sensing

September 19, 2024

Explainable AI for Autism Diagnosis: Identifying Critical Brain Regions Using fMRI Data
Suryansh Vidya, Kush Gupta, Amir Aly, Andy Wills, Emmanuel Ifeachor, Rohit Shankar
Deep Learning Explainable AI Functional Magnetic Resonance Imaging Interpretable Model Autism Spectrum Disorder
Recognition of Harmful Phytoplankton from Microscopic Images using Deep Learning
Aymane Khaldi, Rohaifa Khaldi
Deep Learning Recognition Rate Microscopic Image Harmful Algal Bloom Plankton Image

Deep Learning

Papers

Proactive Schemes: A Survey of Adversarial Attacks for Social Good

Deep Learning for Precision Agriculture: Post-Spraying Evaluation and Deposition Estimation

Segmentation Strategies in Deep Learning for Prostate Cancer Diagnosis: A Comparative Study of Mamba, SAM, and YOLO

Generative 3D Cardiac Shape Modelling for In-Silico Trials

LTNtorch: PyTorch Implementation of Logic Tensor Networks

Deep Learning Techniques for Automatic Lateral X-ray Cephalometric Landmark Detection: Is the Problem Solved?

Deep-learning real-time phase retrieval of imperfect diffraction patterns from X-ray free-electron lasers

On-Air Deep Learning Integrated Semantic Inference Models for Enhanced Earth Observation Satellite Networks

VARADE: a Variational-based AutoRegressive model for Anomaly Detection on the Edge

Component-based Sketching for Deep ReLU Nets

Investigation of Time-Frequency Feature Combinations with Histogram Layer Time Delay Neural Networks

Deep Learning-Based Channel Squeeze U-Structure for Lung Nodule Detection and Segmentation

Morphological Detection and Classification of Microplastics and Nanoplastics Emerged from Consumer Products by Deep Learning

Recent Advances in Non-convex Smoothness Conditions and Applicability to Deep Linear Neural Networks

Neural filtering for Neural Network-based Models of Dynamic Systems

Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Tensorflow Pretrained Models

A generalizable framework for unlocking missing reactions in genome-scale metabolic networks using deep learning

Deep Learning based Optical Image Super-Resolution via Generative Diffusion Models for Layerwise in-situ LPBF Monitoring

Explainable AI for Autism Diagnosis: Identifying Critical Brain Regions Using fMRI Data

Recognition of Harmful Phytoplankton from Microscopic Images using Deep Learning