Applications II
An Interpretable Multi-target Regression Method for Hierarchical Load Forecasting
Automating Patient-Level Lung Cancer Diagnosis in Different Data Regimes
Multi-level 3DCNN with Min-Max Ranking Loss for Weakly-supervised Video Anomaly Detection
Automatically Generating Storylines from Microblogging Platforms
Improving Document Image Understanding with Reinforcement Finetuning
MSK-Net: Multi-source Knowledge Base Enhanced Networks for Script Event Prediction
Vision Transformer-based Federated Learning for COVID-19 Detection using Chest X-ray
HYCEDIS: HYbrid Confidence Engine for Deep Document Intelligence System
Multi-level Network Based on Text Attention and Pose-guided for Person Re-ID
Sketch Image Style Transfer based on Sketch Density Controlling
VAE-AD: Unsupervised Variational Autoencoder for Anomaly Detection in Hyperspectral Images
DSE-Net: Deep Semantic Enhanced Network for Mobile Tongue Image Segmentation
Efficient-Nets and their Fuzzy Ensemble: An Approach for Skin Cancer Classification
A Framework for Software Defect Prediction Using Optimal Hyper-parameters of Deep Neural Network
Improved Feature Fusion by Branched 1-D CNN for Speech Emotion Recognition
A Multi-modal Graph Convolutional Network for Predicting Human Breast Cancer Prognosis
Anomaly detection in surveillance videos using transformer based attention model
Change Detection in Hyperspectral Images using Deep Feature Extraction and Active Learning
TeethU2Net: A Deep Learning-Based Approach for Tooth Saliency Detection in Dental Panoramic Radiographs
The EsnTorch Library: Efficient Implementation of Transformer-Based Echo State Networks
Wine Characterisation with Spectral Information and Predictive Artificial Intelligence
MRCE: A Multi-Representation Collaborative Enhancement Model for Aspect-Opinion Pair Extraction
Diverse and High-Quality Data Augmentation Using GPT for Named Entity Recognition
Transformer-based Original Content Recovery from Obfuscated PowerShell Scripts
A Generic Enhancer for Backdoor Attacks on Deep Neural Networks
Attention Based Twin Convolutional Neural Network with Inception Blocks for Plant Disease Detection using Wavelet Transform
A Medical Image Steganography Scheme with High Embedding Capacity to Solve Falling-Off Boundary Problem using Pixel Value Difference Method
Deep Ensemble Architecture: A Region Mapping for Chest Abnormalities
Privacy-Preserving Federated Learning for Pneumonia Diagnosis
Towards Automated Segmentation of Human Abdominal Aorta and Its Branches Using a Hybrid Feature Extraction Module with LSTM
p-LSTM: An explainable LSTM architecture for Glucose Level Prediction
A Wide Ensemble of Interpretable TSK Fuzzy Classifiers with Application to Smartphone Sensor-based Human Activity Recognition
Prediction of the Facial Growth Direction: Regression Perspective
A Methodology for the Prediction of Drug Target Interaction using CDK Descriptors
PSSM2Vec: A Compact Alignment-Free Embedding Approach for Coronavirus Spike Sequence Classification
An optimized hybrid solution for IoT based lifestyle disease classification using stress data
A Deep Concatenated Convolutional Neural Network-based Method to Classify Autism
Deep Learning-based Human Action Recognition Framework to Assess Children on the Risk of Autism or Developmental Delays
Dynamic Convolutional Network for Generalizable Face Anti-Spoofing
Challenges Of Facial Micro-expression Detection and Recognition : A Survey
Biometric Iris Identifier Recognition With Privacy Preserving Phenomenon: A Federated Learning Approach
Traffic Flow Forecasting using Attention Enabled Bi-LSTM and GRU Hybrid Model
Commissioning Random Matrix Theory and Synthetic Minority Oversampling Technique for Power System Faults Detection and Classification
Deep reinforcement learning with comprehensive reward for stock trading
Deep Learning based automobile identification application
Automatic Firearm Detection in Images and Videos Using YOLO-based Model.