Foreign object detection for mining conveyor belts based on YOLOv5n-CND by SUN Aoran, ZHAO Peipei, YANG Di, ZHANG Junyi, YU Hongjian

“…The mAP@0.5 and mAP@0.5:0.95 of YOLOv5n-CND were 2.6% and 3.4% higher than YOLOv5n, and 1.7% and 3.8% higher than YOLOv5s-CBAM, respectively. Although the model’s parameter count slightly increased compared to the YOLOv5n model, it was still lower than that of other models. …”
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Predicting Emergency Severity Index (ESI) level, hospital admission, and admitting ward in an emergency department using data-driven machine learning by Steve Agius, Vincent Cassar, Caroline Magri, Wasiq Khan, Dhiya Al-Jumeily Obe, Godwin Caruana, Luke Topham

“…Key steps in data preprocessing, such as handling missing values, balancing class distributions with SMOTE, and feature encoding, are discussed. Model evaluation employed comprehensive metrics, including AUC-ROC and calibration curves, to assess both performance and reliability. …”
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Mapping subtidal seagrass in the turbid Baltic Sea: Rethinking satellite sensor selection using a sensor-agnostic pipeline by Eike M. Schütt, Florian Uhl, Philipp R. Schubert, Thorsten B.H. Reusch, Natascha Oppelt

“…Our results highlight the need for different preprocessing steps, such as water column correction, segmentation, compositing and de-striping, to maximize model performance based on sensor characteristics. …”
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Change Detection for Forest Ecosystems Using Remote Sensing Images with Siamese Attention U-Net by Ashen Iranga Hewarathna, Luke Hamlin, Joseph Charles, Palanisamy Vigneshwaran, Romiyal George, Selvarajah Thuseethan, Chathrie Wimalasooriya, Bharanidharan Shanmugam

“…Although the proposed model had a lower F1-score than other methods, other performance metrics highlight its effectiveness in timely detection and forest landscape monitoring, advancing deep learning techniques in this field.…”
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Experimental and Numerical Investigation on the Effect of Different Types of Synthetic Fibers on the Flexure Behavior and Mechanical Properties of 3D Cementitious Composite Printin... by Ahmed M. Yassin, Mohamed Ahmed Hafez, Mohamed Gamal Aboelhassan

“…The numerical results demonstrated the efficacy of the Menetrey–Willam constitutive model, featuring a linear softening yield function in accurately simulating the flexural behavior of the analyzed beams with various fiber types.…”
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Machine learning and the nomogram as the accurate tools for predicting postoperative malnutrition risk in esophageal cancer patients by Zhenmeng Lin, Zhenmeng Lin, Hao He, Mingfang Yan, Xiamei Chen, Hanshen Chen, Jianfang Ke

“…Feature selection was performed via the least absolute shrinkage and selection operator (LASSO) algorithm. …”
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Artificial Intelligence in UAV Flight Controls: Deep Reinforcement Learning Based Altitude-Hold Strategies for Fixed-Wing UAVs by Hasan Raza Khanzada, Adnan Maqsood, Abdul Basit

“…Unlike conventional flight control methods, DRL does not require an exact mathematical system model for the design and can handle non-linear coupled dynamics of highly agile aerospace vehicles like small-size UAVs. …”
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CosPoint Transformer: Enhancing 3-D Semantic Segmentation With Cosine Similarity Attention and Cross-Attention by Thien Huynh-The, Minh-Thanh Le, Won Jae Ryu, Anh-Kiet Vo

“…The CSA mechanism replaces traditional multihead attention by using cosine similarity calculations to refine feature representation and improve the spatial alignment of superpoints, while the CA mechanism processes outputs from each encoder stage independently in the decoder, enabling more precise attention score calculations and enhancing segmentation performance. …”
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A novel nomogram for survival prediction in renal cell carcinoma patients with brain metastases: an analysis of the SEER database by Fei Wang, Xihao Wang, Zhigang Feng, Jun Li, Hailiang Xu, Hengming Lu, Lianqu Wang, Zhihui Li

“…BackgroundExisting research on the development of prognostic models for renal cell carcinoma (RCC) patients with brain metastases (BM) remains limited. …”
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Microstructural diffusion MRI for differentiation of breast tumors and prediction of prognostic factors in breast cancer by Xiaoyan Wang, Yan Zhang, Jingliang Cheng, Liangjie Lin, Ying Hu, Anfei Wang, Yong Zhang, Ruhua Wang, Ying Li, Kun Zhang, Wenhua Zhang

“…The OGSE and PGSE data were fitted by the IMPUSLED method using a two-compartment model to estimate mean cell diameter (dmean), intracellular fraction (fin), extracellular diffusivity (Dex), and cellularity index (fin/d) within breast tumor lesions. …”
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A Vision-Based Method for Detecting the Position of Stacked Goods in Automated Storage and Retrieval Systems by Chuanjun Chen, Junjie Liu, Haonan Yin, Biqing Huang

“…STEGNet’s core innovation is the Efficient Gated Pyramid Feature Network (EG-FPN), which integrates a Gated Feature Fusion module and a Lightweight Attention Mechanism to optimize feature extraction and fusion. …”
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Lightweight Stereo Matching for Real-Time Applications With 2D Cost Volume Aggregation by Thai la, Linh Tao, Dai Watanabe

“…The integration of the 2D cost aggregation and multi-stage feature extraction results in an efficient architecture for cost aggregation, simplifying the model and ensuring computational efficiency without sacrificing accuracy. …”
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Spatial and Channel Attention Integration with Separable Squeeze-and-Excitation Networks for Image Classifications by Nazmul Shahadat, Shleshma Regmi, Anup Rijal

“…The proposed SC-SENet is designed to effectively capture spatial and channel-wise dependencies within feature maps. By decoupling spatial and channel attention modules, our model achieves efficient computation and alleviates overfitting. …”
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Fusing Events and Frames with Coordinate Attention Gated Recurrent Unit for Monocular Depth Estimation by Huimei Duan, Chenggang Guo, Yuan Ou

“…The coordinate attention gate in conjunction with the convolutional gate enable the network to model feature information spatially, temporally, and internally across channels. …”
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Bioinformatic Analysis of WNT Family Proteins by Konstantin Midlovets, Natalia Volkova, Mykyta Peka

“…In this study, in silico methods were used to analyze the structural features of WNT proteins. Specifically, the isoelectric points, GRAVY scores, aliphatic indices, and instability indices were determined, and correlation analysis was performed to examine relationships between the latter three parameters. …”
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MVSAPNet: A Multivariate Data-Driven Method for Detecting Disc Cutter Wear States in Composite Strata Shield Tunneling by Yewei Xiong, Xinwen Gao, Dahua Ye

“…The method performs better on the data collected from the Ma Wan Cross-Sea Tunnel project in Shenzhen, China, with an accuracy of 0.9187 and an F1 score of 0.8978, yielding higher values than the experimental results of other classification models.…”
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Experimental study on pedestrian evacuation characteristics through building bottleneck group structure by Huakai Sun, Kai Zhu, Guannan Wang, Haihang Hu, Ping Guo, Ke Wu, Tianhang Zhang

“…In this work, a series of controlled experiments with 119 participants were performed to study pedestrian evacuation behaviors through the bottleneck group structure consisting of two serially-connected bottlenecks. …”
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STIM1 signaling modulates invasive phenotypic plasticity by regulating calpain-dependent cleavage of integrin-β4 in nasopharyngeal carcinoma cells by Weiming Deng, Wenlin Huang, Yujuan Huang, Lihong Huang, Linsong Ye, Fei Liu, Min Li, Jingjin Weng, Qian He, Jinyan Zhang, Shenhong Qu, Jiazhang Wei

“…A zebrafish xenograft model was employed to elucidate the proliferation of transplanted NPC cell spheroids in vivo. …”
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Measurement of insertion loss and gain in variable hear-through and noise cancellation modes of true wireless earbuds by Harrison Jay, Archer-Boyd Alan W., Murphy Damian T.

“…This paper presents the results of objective tests to assess the insertion loss and gain performance of three true wireless earbuds that featured both active noise cancellation (ANC) and hear-through functionality. …”
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Learning Architecture for Brain Tumor Classification Based on Deep Convolutional Neural Network: Classic and ResNet50 by Rabei Raad Ali, Noorayisahbe Mohd Yaacob, Marwan Harb Alqaryouti, Ala Eddin Sadeq, Mohamed Doheir, Musab Iqtait, Eko Hari Rachmawanto, Christy Atika Sari, Siti Salwani Yaacob

“…By leveraging pre-trained models on large-scale datasets, researchers can utilize knowledge from other domains to improve brain tumor classification tasks, particularly in scenarios with limited annotated data.…”
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