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
Physics-informed Generalizable Wireless Channel Modeling with Segmentation and Deep Learning: Fundamentals, Methodologies, and Challenges
Ethan Zhu, Haijian Sun, Mingyue Ji
Deep Learning-Based Computational Model for Disease Identification in Cocoa Pods (Theobroma cacao L.)
Darlyn Buenaño Vera, Byron Oviedo, Washington Chiriboga Casanova, Cristian Zambrano-Vega
Accurate and Efficient Urban Street Tree Inventory with Deep Learning on Mobile Phone Imagery
Asim Khan, Umair Nawaz, Anwaar Ulhaq, Iqbal Gondal, Sajid Javed
Aircraft Landing Time Prediction with Deep Learning on Trajectory Images
Liping Huang, Sheng Zhang, Yicheng Zhang, Yi Zhang, Yifang Yin
Real-Time Object Detection in Occluded Environment with Background Cluttering Effects Using Deep Learning
Syed Muhammad Aamir, Hongbin Ma, Malak Abid Ali Khan, Muhammad Aaqib
Brain Tumor Segmentation Based on Deep Learning, Attention Mechanisms, and Energy-Based Uncertainty Prediction
Zachary Schwehr, Sriman Achanta
Double-well Net for Image Segmentation
Hao Liu, Jun Liu, Raymond Chan, Xue-Cheng Tai
Low-cost Geometry-based Eye Gaze Detection using Facial Landmarks Generated through Deep Learning
Esther Enhui Ye, John Enzhou Ye, Joseph Ye, Jacob Ye, Runzhou Ye
Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit
Yao Wan, Yang He, Zhangqian Bi, Jianguo Zhang, Hongyu Zhang, Yulei Sui, Guandong Xu, Hai Jin, Philip S. Yu
A Novel Approach for Defect Detection of Wind Turbine Blade Using Virtual Reality and Deep Learning
Md Fazle Rabbi, Solayman Hossain Emon, Ehtesham Mahmud Nishat, Tzu-Liang, Tseng, Atira Ferdoushi, Chun-Che Huang, Md Fashiar Rahman
Automating Leukemia Diagnosis with Autoencoders: A Comparative Study
Minoo Sayyadpour, Nasibe Moghaddamniya, Touraj Banirostam
Discovery of Small Ultra-short-period Planets Orbiting KG Dwarfs in Kepler Survey Using GPU Phase Folding and Deep Learning Detection System
Kaitlyn Wang, Jian Ge, Kevin Willis, Kevin Wang, Yinan Zhao, Quanquan Hu
Empirical fits to inclusive electron-carbon scattering data obtained by deep-learning methods
Beata E. Kowal, Krzysztof M. Graczyk, Artur M. Ankowski, Rwik Dharmapal Banerjee, Hemant Prasad, Jan T. Sobczyk
$μ$GUIDE: a framework for quantitative imaging via generalized uncertainty-driven inference using deep learning
Maëliss Jallais, Marco Palombo
Predicting Parkinson's disease evolution using deep learning
Maria Frasca, Davide La Torre, Gabriella Pravettoni, Ilaria Cutica