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Forest Disturbance Detection with Seasonal and Trend Model Components and Machine Learning Algorithms

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Real-Time Rainfall Estimation Using Satellite Signals: Development and Assessment of a New Procedure

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Imaging-Based Deep Graph Neural Networks for Survival Analysis in Early Stage Lung Cancer Using CT: A Multicenter Study

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Aerial Imagery-Based Building Footprint Detection with an Integrated Deep Learning Framework: Applications for Fine Scale Wildland–Urban Interface Mapping

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Near real-time mapping of burned area by synergizing multiple satellites remote-sensing data

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Learning to Parallelize in a Shared-Memory Environment with Transformers

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Hajj pilgrimage abnormal crowd movement monitoring using optical flow and FCNN

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A Serious Game System for Upper Limb Motor Function Assessment of Hemiparetic Stroke Patients

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Sediment core analysis using artificial intelligence

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Artificial Intelligence Assisted Recognition of Anatomical Landmarks and Laparoscopic Instruments in Transabdominal Preperitoneal Inguinal Hernia Repair

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Regularizing deep neural networks for medical image analysis with augmented batch normalization

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Evaluating the impact of flaky simulators on testing autonomous driving systems

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Research on Individual Tree Canopy Segmentation of Camellia oleifera Based on a UAV-LiDAR System

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A machine learning approach for differentiating bipolar disorder type II and borderline personality disorder using electroencephalography and cognitive abnormalities

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Towards Reliability in Smart Water Sensing Technology: Evaluating Classical Machine Learning Models for Outlier Detection

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MFAD-RTDETR: A Multi-Frequency Aggregate Diffusion Feature Flow Composite Model for Printed Circuit Board Defect Detection

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Adversarial robust image processing in medical digital twin

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Investigating the Predominance of Large Language Models in Low-Resource Bangla Language over Transformer Models for Hate Speech Detection: A Comparative Analysis

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Deep-CEE I: fishing for galaxy clusters with deep neural nets

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Neural Response Selectivity to Natural Sounds in the Bat Midbrain

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Bayesian neural networks for fast SUSY predictions

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Pixel-Wise Classification of High-Resolution Ground-Based Urban Hyperspectral Images with Convolutional Neural Networks

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A hierarchical deep learning based approach for multi‐functional enzyme classification

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A deep crowd density classification model for Hajj pilgrimage using fully convolutional neural network

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Brain-Wide Shape Reconstruction of a Traced Neuron Using the Convex Image Segmentation Method

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Environment Monitoring for Anomaly Detection System Using Smartphones

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A Clinical Bacterial Dataset for Deep Learning in Microbiological Rapid On-Site Evaluation

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SentimentFormer: A Transformer-Based Multimodal Fusion Framework for Enhanced Sentiment Analysis of Memes in Under-Resourced Bangla Language

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Enabling and Leveraging AI in the Intelligent Edge: A Review of Current Trends and Future Directions

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Weed Detection in Pea Cultivation with the Faster RCNN ResNet 50 Convolutional Neural Network

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A Positive-Unlabeled Learning Algorithm for Urban Flood Susceptibility Modeling

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Predicting Duplicate in Bug Report Using Topic-Based Duplicate Learning With Fine Tuning-Based BERT Algorithm

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Autonomous victim detection system based on deep learning and multispectral imagery

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An Ensemble Learning Approach Based on TabNet and Machine Learning Models for Cheating Detection in Educational Tests

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Towards transforming malaria vector surveillance using VectorBrain: a novel convolutional neural network for mosquito species, sex, and abdomen status identifications

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LANCE: Piercing to the Heart of Instance Matching Tools

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Credible Intervals for Precision and Recall Based on aK-Fold Cross-Validated Beta Distribution

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Cricket Stroke Recognition Using Computer Vision Methods

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A Novel Approach for Improving Dynamic Biometric Authentication and Verification of Human Using Eye Blinking Movement

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Coal and gangue identification method based on the intensity image of lidar and DenseNet

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Augmentation of Transcriptomic Data for Improved Classification of Patients with Respiratory Diseases of Viral Origin

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An Emotion Similarity Based Severity Prediction of Software Bugs: A Case Study of Open Source Projects

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A low-cost methodology based on artificial intelligence for contamination detection in microalgae production systems

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HYBRID ACQUISITION OF HIGH QUALITY TRAINING DATA FOR SEMANTIC SEGMENTATION OF 3D POINT CLOUDS USING CROWD-BASED ACTIVE LEARNING

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Optimization of Cervical Cancer Screening: A Stacking-Integrated Machine Learning Algorithm Based on Demographic, Behavioral, and Clinical Factors

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Auto Labeling Methods Developed Through Semi-Weakly Supervised Learning in Prognostics and Health Management Applications for Rolling Ball Bearing

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User story clustering in agile development: a framework and an empirical study

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An optimized explainable artificial intelligence approach for sustainable clean water

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Strawberry Defect Identification Using Deep Learning Infrared–Visible Image Fusion

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Efficient Lung Cancer Classification on Multi level Convolution Neural Network using Histopathological Images

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Lung Cancer Prediction and Classification Using Decision Tree and VGG16 Convolutional Neural Networks

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The Synergy of Machine Learning and Epidemiology in Addressing Carbapenem Resistance: A Comprehensive Review

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A process mining algorithm to mixed multiple-concurrency short-loop structures

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Multi-feature representation for burn depth classification via burn images

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Forest Restoration Monitoring Protocol with a Low-Cost Remotely Piloted Aircraft: Lessons Learned from a Case Study in the Brazilian Atlantic Forest

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The preoperative machine learning algorithm for extremity metastatic disease can predict 90‐day and 1‐year survival: An external validation study

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EmoMV: Affective music-video correspondence learning datasets for classification and retrieval

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A Comparative Study of Parallel RANSAC Implementations in 3D Space

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Automatic classification of lung nodule candidates based on a novel 3D convolution network and knowledge transferred from a 2D network

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Of Human Criteria and Automatic Metrics: A Benchmark of the Evaluation of Story GenerationPreprint

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TreeSeg—A Toolbox for Fully Automated Tree Crown Segmentation Based on High-Resolution Multispectral UAV Data

Speckenwirth, S., Brandmeier, M., & Paczkowski, S. P. (2024) · Remote Sensing · doi:10.3390/rs16193660 · Cited by 15

Benchmarking of Individual Tree Segmentation Methods in Mediterranean Forest Based on Point Clouds from Unmanned Aerial Vehicle Imagery and Low-Density Airborne Laser Scanning

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AutoML for multi-class anomaly compensation of sensor drift

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The Impact of LoRA Adapters on LLMs for Clinical Text Classification Under Computational and Data Constraints

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Altered Functional Connectivity of Hippocampal Subfields in Poststroke Dementia

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Ensemble-based Efficient Anomaly Detection for Smart Building Control Systems

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Feature augmentation based on manifold ranking and LSTM for image classification

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A novel remote sensing index for brine shrimp (Artemia) slick detection in salt lakes

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A topology-based approach to individual tree segmentation from airborne LiDAR data

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The improved method in fabric image classification using convolutional neural network

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An intelligent hybrid classification model for heart disease detection using imbalanced electrocardiogram signals

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Predictive insights: leveraging Twitter sentiments and machine learning for environmental, social and governance controversy prediction

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Predicting and Recognizing Drug‐Induced Type I Brugada Pattern Using ECG‐Based Deep Learning

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Applying machine learning approach in predicting short-term rockburst risks using microseismic information: a comparison of parametric and non-parametric models

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Interpretability of the random forest model under class imbalance

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Lower Limb Motion Recognition Based on sEMG and CNN-TL Fusion Model

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A Quality-oriented Approach to Recommend Move Method Refactorings

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Hearing attacks in network data: An effectiveness study

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