MSF-GhostNet: Computationally Efficient YOLO for Detecting Drones in Low-Light Conditions by Maham Misbah, Misha Urooj Khan, Zeeshan Kaleem, Ali Muqaibel, Muhamad Zeshan Alam, Ran Liu, Chau Yuen

“…We also proposed three feature map combinations to evaluate the performance of multiscale and multitarget flying objects, including drones, birds, planes, and helicopters. …”
Get full text

Estimation of Canopy Water Content by Integrating Hyperspectral and Thermal Imagery in Winter Wheat Fields by Chenkai Gao, Shuimiao Liu, Pengnian Wu, Yanli Wang, Ke Wu, Lingyun Li, Jinghui Wang, Shilong Liu, Peimeng Gao, Zhiheng Zhao, Jing Shao, Haolin Yu, Xiaokang Guan, Tongchao Wang, Pengfei Wen

“…Compared to the single-feature spectral model (R² = 0.864, RMSE = 5.92%, nRMSE = 8.63%) and thermal image CWC prediction model (R² = 0.813, RMSE = 7.22%, nRMSE = 10.49%), the model prediction accuracy based on the GRA algorithm is increased by 7.64% and 13.69%, respectively.…”
Get full text

Optimizing XGBoost Hyperparameters for Credit Scoring Classification Using Weighted Cognitive Avoidance Particle Swarm by Atul Vikas Lakra, Sudarson Jena, Kaushik Mishra

“…Decision trees in machine learning achieved satisfactory performance in classification. Decision trees offer the advantage of handling high-dimensional and complexly correlated data through feature combination and selection. …”
Get full text

Evaluation of pre-treatment F-18 FDG PET/CT according to Mandard classification in locally advanced rectal cancer patients undergoing neoadjuvant chemoradiotherapy by Feray Aras, Murtaza Parvizi, Olcay Ak Nalbant, Volkan Ozkol, Engin Kut

“…Statistical analyses included chi-square tests, Mann–Whitney U tests, logistic regression models with odds ratios (ORs), and Kaplan–Meier survival analysis. …”
Get full text

IQGO: Iterative Quantum Gate Optimiser for Quantum Data Embedding by Tautvydas Lisas, Ruairi de Frein

“…However, kernel methods which leverage feature map embedding, often struggle with overfitting, which compromises their generalisation performance on unseen data. …”
Get full text

Experimental study on operation limit of ground heat exchanger based on ground source heat pump unit. by Rui Zhang

“…In this study, an experimental station featuring a single U-shaped GSHP system was constructed, and a three-dimensional model of the system was developed. …”
Get full text

Leveraging Deep Learning for Fault Detection and Localization in Distributed Systems by Debolina Ghosh, Jay Prakash Singh

“…CNN continuously beats other models in accuracy and performance across all datasets. …”
Get full text

A Study on Servo Control of Motor-pump Controlled Hydraulic Steering System for Autonomous-rail Rapid Tram by REN Xiaojun, XIAO Lei, PENG Jing, YANG Yong, YOU Wang

“…To improve control performance, it suggests sliding mode control for the current loop, addressing the issue of current susceptibility to interference. …”
Get full text

Graph-Based Semi-Supervised Learning with Bipartite Graph for Large-Scale Data and Prediction of Unseen Data by Mohammad Alemi, Alireza Bosaghzadeh, Fadi Dornaika

“…Secondly, the detection of outlier-labeled data is crucial, as it can significantly impact model performance. Thirdly, existing models often struggle with predicting labels for unseen test data, restricting their utility in practical applications. …”
Get full text

Enhancing Image Classification using Graph Attention Networks by Hasan Maher Ahmed

“…Excellent performance in artificial intelligence image classification leads to extensive applications throughout areas such as healthcare facilities, robotic systems and multimedia platforms. …”
Get full text

Scale-Consistent and Temporally Ensembled Unsupervised Domain Adaptation for Object Detection by Lunfeng Guo, Yizhe Zhang, Jiayin Liu, Huajie Liu, Yunwang Li

“…Unsupervised Domain Adaptation for Object Detection (UDA-OD) aims to adapt a model trained on a labeled source domain to an unlabeled target domain, addressing challenges posed by domain shifts. …”
Get full text

Spatiotemporal pattern analysis of land use in Jiangsu Province based on long-term time series remote sensing images by Zhendong Ji, Lingzhi Yin, Jinhong Wang

“…The study results indicate that: (1) PCA effectively reduced feature redundancy, enabling a more robust classification process, while Bayesian optimization improved the model’s predictive performance. (2) Cropland area continuously declined, built-up land expanded significantly, waterbody areas decreased slightly, and forest coverage remained stable. …”
Get full text

The Circular Kitchen by Bas Jansen

“…Detailed information was primarily available concerning the technical model, while insights into industrial and business models were relatively scarce. …”
Get full text

Understanding the determinants of treated bed net use in Ethiopia: A machine learning classification approach using PMA Ethiopia 2023 survey data. by Abraham Keffale Mengistu

“…The dataset included 18 variables: region, household size, wealth quintile, and housing conditions. Model performance was evaluated using accuracy, precision, recall, F1-score, and AUC-ROC. …”
Get full text

Enhanced DL-Based Breast Cancer Diagnosis and Classification Using Modified DenseNet-121, DenseNet-201, and MobileNetV2: Optimized Architectures and Refined Activation Functions by Khaddouj Taifi, Yassine Sabbar, Hanin Ardah, Abdel-Haleem Abdel-Aty

“…Despite notable progress, further optimization of neural network architectures and activation functions remains critical for enhancing classification accuracy and model generalization. This study explores the effect of architectural refinements and activation function choices on the performance of three widely adopted convolutional neural networks: DenseNet-121, DenseNet-201, and MobileNetV2. …”
Get full text

ELTrack: Events-Language Description for Visual Object Tracking by Mohamad Alansari, Khaled Alnuaimi, Sara Alansari, Sajid Javed

“…The integration of Natural Language (NL) descriptions into Visual Object Tracking (VOT) has shown promise in enhancing the performance of RGB-based tracking by providing richer, contextually aware information that helps to address issues like appearance variations, model drift, and ambiguous target representation. …”
Get full text

Binary classification of Low-Rate DoS attacks using Long Short-Term Memory Feed-Forward (LSTM-FF) Intrusion Detection System (IDS) by Suhaila ZeinElabideen Omer, Fazirulhisyam Hashim, Aduwati Sali, Faisul Arif Ahmad

“…To address the class imbalance, we implement a stratified k-fold cross-validation strategy, ensuring robust performance across various attack scenarios. To thoroughly evaluate model performance, we adopt a comprehensive set of metrics, including accuracy, precision, recall, F1-score, specificity, False Alarm Rate (FAR), and ROC-AUC. …”
Get full text

Digital Health Intervention for Patient Monitoring in Immune-Mediated Inflammatory Diseases: Cocreation and Feasibility Study of the IMIDoc Platform by Diego Benavent, Jose M Iniesta-Chamorro, Marta Novella-Navarro, Miguel Pérez-Martínez, Nuria Martínez-Sánchez, Mónica Kaffati, Manuel Juárez-García, Marina Molinari-Pérez, Andrea González-Torbay, Mariana Gutiérrez, Natalia López-Juanes, Victoria Navarro-Compán, Irene Monjo-Henry, Germán Rodríguez-Rosales, Javier Bachiller, Enrique Calvo-Aranda, Xabier Michelena, Laura Berbel-Arcobé, Alejandro Balsa, Enrique J Gómez, Chamaida Plasencia-Rodríguez

“…Traditional health care models often fail to capture disease progression effectively. …”
Get full text

GPC-YOLO: An Improved Lightweight YOLOv8n Network for the Detection of Tomato Maturity in Unstructured Natural Environments by Yaolin Dong, Jinwei Qiao, Na Liu, Yunze He, Shuzan Li, Xucai Hu, Chengyan Yu, Chengyu Zhang

“…The neck network was replaced with the convolutional neural network-based cross-scale feature fusion (CCFF) module to enhance the adaptability of the model to scale changes and to detect many small-scaled objects. …”
Get full text

TIAR-SAR: An Oriented SAR Ship Detector Combining a Task Interaction Head Architecture with Composite Angle Regression by Yu Gu, Minding Fang, Dongliang Peng

“…The detector achieves 17.42 FPS on 1024 × 1024 images using an RTX 2080 Ti GPU, with a model size of only 21.92 MB. Comparative experiments with other state-of-the-art methods on the HRSID dataset demonstrate the proposed method’s superior detection performance in complex nearshore scenarios. …”
Get full text