Ship Target Detection Algorithm Based on Improved YOLOv3 for Maritime Image by Dehai Chen, Shiru Sun, Zhijun Lei, Heng Shao, Yuzhao Wang

“…Experiments were carried out on the public SeaShips dataset. Experiments show that the detection accuracy is as high as 98.72%, which is better than that of other mainstream ship identification models, fully verifying the superiority of this method in the detection of waterborne traffic ships.…”
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Modeling of Hyperparameter Tuned Fuzzy Deep Neural Network–Based Human Activity Recognition for Disabled People by Faiz Abdullah Alotaibi, Mrim M. Alnfiai, Fahd N. Al-Wesabi, Mesfer Alduhayyem, Anwer Mustafa Hilal, Manar Ahmed Hamza

“…A wide range of experiments have been carried out on the CAUCAFall dataset comprising 10,000 samples with two classes. …”
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Improving Network Security: An Intelligent IDS with RNN-LSTM and Grey Wolf Optimization by murtadha ali

“…Preprocess and segment network data with creating RNN-LSTM model for considering the dependence of our dataset Our approach improves the IDS performance by optimizing hyperparameters such as hidden layers, units, learning rates using GWO. …”
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Factors Associated with Chronic Noncancer Pain in the Canadian Population by Saifudin Rashiq, Bruce D Dick

“…With data provided by the 1996/1997 Canadian National Population Health Survey, ordinal logistic regression was used to examine the extent to which a number of population variables are associated with CNCP in a large (n=69,365) dataset. The analysis revealed cross-sectional correlations of varying strengths between CNCP and 27 factors. …”
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A Spatiotemporal Graph Transformer Network for real-time ball trajectory monitoring and prediction in dynamic sports environments by Zujian Li, Dan Yu

“…Experimental results on the SoccerNet-v2 dataset demonstrate that SGTN significantly outperforms recent models in terms of prediction accuracy, trajectory coverage, and robustness, while maintaining competitive inference times suitable for real-time applications. …”
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Random Forest–Based Coal Mine Roof Displacement Prediction and Application by Hongxia Li, Rong Wu, Jianan Gao

“…By identifying six important influencing indexes of coal roadway roof displacement, the prediction dataset of coal roadway roof displacement is established and the correlation and importance of the indexes are analyzed. …”
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Multi-Scale Feature Fusion and Context-Enhanced Spatial Sparse Convolution Single-Shot Detector for Unmanned Aerial Vehicle Image Object Detection by Guimei Qi, Zhihong Yu, Jian Song

“…Subsequently, a dynamic masking strategy is designed to determine the optimal mask ratios, thereby ensuring compact foreground coverage that enhances both accuracy and efficiency. Experiments on two datasets (i.e., VisDrone and ARH2000; the latter dataset was created by the researchers) demonstrate that the MFFCESSC-SSD remarkably outperforms the performance of the SSD and numerous conventional object detection algorithms in terms of accuracy and efficiency.…”
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Application of CNN-LSTM Model for Vehicle Acceleration Prediction Using Car-following Behavior Data by Shuning Tang, Yajie Zou, Hao Zhang, Yue Zhang, Xiaoqiang Kong

“…To validate the accuracy of the proposed prediction framework, vehicle acceleration data in car-following conditions is extracted from the safety pilot model deployment (SPMD) dataset. The segmentation results indicate that the CHMM possesses a robust capacity for modeling driving behavior. …”
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ABioNER: A BERT-Based Model for Arabic Biomedical Named-Entity Recognition by Nada Boudjellal, Huaping Zhang, Asif Khan, Arshad Ahmad, Rashid Naseem, Jianyun Shang, Lin Dai

“…This work presents a BERT-based model to identify biomedical named entities in the Arabic text data (specifically disease and treatment named entities) that investigates the effectiveness of pretraining a monolingual BERT model with a small-scale biomedical dataset on enhancing the model understanding of Arabic biomedical text. …”
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Optimization of Intelligent Management System for Crafts Production Based on Internet of Things by Xiaojiang Zhou, Keqi Li

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Prevalence and Correlates of Microalbuminuria in Children with Sickle Cell Anaemia: Experience in a Tertiary Health Facility in Enugu, Nigeria by Christopher Bismarck Eke, Henrietta Uche Okafor, Bede Chidozie Ibe

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Deep Convolutional Network Based Machine Intelligence Model for Satellite Cloud Image Classification by Kalyan Kumar Jena, Sourav Kumar Bhoi, Soumya Ranjan Nayak, Ranjit Panigrahi, Akash Kumar Bhoi

“…Delivery time decreases for testing images, whereas prediction accuracy increases using an appropriate deep convolutional network with a huge number of training dataset instances. The satellite images are taken from the Meteorological & Oceanographic Satellite Data Archival Centre, the organization is responsible for availing satellite cloud images of India and its subcontinent. …”
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Network Anomaly Detection Using Quantum Neural Networks on Noisy Quantum Computers by Alon Kukliansky, Marko Orescanin, Chad Bollmann, Theodore Huffmire

“…A small version of the proposed architecture was implemented on IonQ's Aria-1 quantum computer, achieving a notable 0.86 F1 score using the NF-UNSW-NB15 dataset. In addition, we introduce a novel metric, certainty factor, laying the foundation for future integration of uncertainty measures in quantum classification outputs. …”
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Predicting Wet-Road Crashes Using the Finite-Mixture Zero-Truncated Negative Binomial Model by Ying Chen, Zhongxiang Huang

“…Practitioners are encouraged to consider the finite-mixture zero-truncated modeling approach when complete safety dataset is not available.…”
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Sparse Representation Based SAR Vehicle Recognition along with Aspect Angle by Xiangwei Xing, Kefeng Ji, Huanxin Zou, Jixiang Sun

“…Extensive experiments are conducted on the moving and stationary target acquisition and recognition (MSTAR) dataset and the results demonstrate that the proposed method performs robustly under the variations of depression angle and target configurations, as well as incomplete observation.…”
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Synergistic grasp analysis: A cross-sectional exploration using a multi-sensory data glove by Subhash Pratap, Kazuaki Ito, Shyamanta M. Hazarika

“…The study engaged five subjects to capture a comprehensive dataset that includes contact forces at the fingertips and joint angles, furnishing a detailed portrayal of grasp mechanics. …”
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Abstract Word Definition in Patients with Amnestic Mild Cognitive Impairment by Soo Ryon Kim, SangYun Kim, Min Jae Baek, HyangHee Kim

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Machine learning techniques for estimating high–temperature mechanical behavior of high strength steels by C. Yazici, F.J. Domínguez-Gutiérrez

“…In this study, we present a novel ML-based framework for accurately predicting the high-temperature mechanical properties of high-strength steels (HSS) using reduction factor datasets. A key contribution of this work is the development of an extensive experimental dataset through tensile testing of HSS specimens with varying thicknesses and temperatures, further expanded with over 450 additional data points covering a diverse range of material conditions. …”
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Frequency and Intensive Care Related Risk Factors of Pneumothorax in Ventilated Neonates by Ramesh Bhat Yellanthoor, Vidya Ramdas

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Using Flow 3D Simulation, Multiple Nonlinear Regression Approach, and Artificial Neural Network Approach Approaches to Study the Behavior of Vertical Drop Structures by Shaikhli Hasan Al, Mohammed Sarah Hashim, Al-Khafaji Zainab

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