LITP-GAN: Leaf image translation pipeline using DETR and GLA-Net considering the lesion area of plant disease by Ri Zheng, Jimin Lee, Helin Yin, Dong Jin, Yeong Hyeon Gu

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Comprehensive numerical prototyping of paper-based microfluidic devices using open-source tools by Gabriel S. Gerlero, Zahar I. Guerenstein, Nicolás Franck, Claudio L.A. Berli, Pablo A. Kler

“…By virtue of being an easy-to-use and computationally efficient tool, porousMicroTransport facilitates the design and optimization of devices, potentially enabling more devices to meet the WHO’s REASSURED criteria for point-of-care testing. …”
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Automatic Sugarcane Disease Detection and Outbreak Alert System using Deep Learning by Munaf Rashid, Zuha Khan, Saeed Usmani, Asadullah Maliyawala, Kashif Iqbal

“…The ASCD-OAS leverages computer vision and deep learning to automatically detect diseases like red rot, mosaic, yellow leaf, and rust with high accuracy. …”
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Bimodal structure formation and texture transition mechanism in laser remelted Mg–Al-based alloy by Lingxiao Ouyang, Xinyi Xie, Xiaohong Wang, Jingfeng Wang, Zihong Wang, Le Feng, Hongyun Li, Yunwei Gui, Fusheng Pan

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Development and validation of generative artificial intelligence attitude scale for students by Agostino Marengo, Fatma Gizem Karaoglan-Yilmaz, Ramazan Yılmaz, Mehmet Ceylan

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The impact of cross-validation choices on pBCI classification metrics: lessons for transparent reporting by Felix Schroeder, Stephen Fairclough, Frederic Dehais, Matthew Richins

“…Evaluating machine learning and signal processing approaches represents a core aspect of research into neuroadaptive technologies. …”
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Male Sex Is an Associated Factor for Delayed Bone Union Following Hybrid Closed-Wedge High Tibial Osteotomy by Naoya Kikuchi, Norihito Arai, Kosuke Okuno, Akihiro Kanamori

“…This study aimed to investigate the detailed process of bone union in hybrid closed-wedge HTO using computed tomography (CT) and to examine factors associated with delayed bone union. …”
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Application of Motor Imagery in Stroke Rehabilitation by WANG Jiayu, WANG Jiening, QI Rui

“…Motor imagery （MI） refers to the conscious mental rehearsal of the actual movement process of a specific action in the brain without generating any physical movement. …”
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Parametric Investigation of Methanol Ratio and Diesel Injection Timing for a Marine Diesel–Methanol Dual-Fuel Engine by George Papalambrou, Vasileios Karystinos

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A Frequency-Shifting Variational Mode Decomposition-Based Approach to MI-EEG Signal Classification for BCIs by Haiqin Xu, Shahzada Ali Hassan, Waseem Haider, Youchao Sun, Xiaojun Yu

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Functional information technology in geometry-graphic training of engineers by Irina D. Stolbova, Evgeniya P. Aleksandrova, Konstantin G. Nosov

“…Traditionally, basic graphic training of students in the junior university courses consisted in consecutive studying of the descriptive geometry, engineering and computer graphics. Today, the use of integrative approach is relevant, but the role of computer graphics varies considerably. …”
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USD-YOLO: An Enhanced YOLO Algorithm for Small Object Detection in Unmanned Systems Perception by Hongqiang Deng, Shuzhe Zhang, Xiaodong Wang, Tianxin Han, Yun Ye

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An ensemble time-embedded transformer model for traffic conflict prediction at RRFB pedestrian crossings by Md Jamil Ahsan, Mohamed Abdel-Aty, B M Tazbiul Hassan Anik, Zubayer Islam

“…The comprehensive feature selection process ensures the identification of the most significant predictors. …”
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Real-Time Object Detection Using Low-Resolution Thermal Camera for Smart Ventilation Systems by Jun-Hee Lee, Eung-Tea Kim

“…FLARE implements a Feature Compression Block for efficient feature map compression and integration, along with a Spatial Denoise Block that enables adaptive processing across temperature regions to handle thermal sensor noise characteristics. …”
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MRTMD: A Multi-Resolution Dataset for Evaluating Object Detection in Traffic Monitoring Systems by Mark Bugeja, Matthias Bartolo, Matthew Montebello, Dylan Seychell

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Clinical, radiological, and radiomics feature-based explainable machine learning models for prediction of neurological deterioration and 90-day outcomes in mild intracerebral hemor... by Weixiong Zeng, Jiaying Chen, Linling Shen, Genghong Xia, Jiahui Xie, Shuqiong Zheng, Zilong He, Limei Deng, Yaya Guo, Jingjing Yang, Yijun Lv, Genggeng Qin, Weiguo Chen, Jia Yin, Qiheng Wu

“…We trained five ML models using filtered data, including clinical, traditional imaging, and radiomics indicators based on non-contrast computed tomography (NCCT). Additionally, we incorporated the Shapley Additive Explanation (SHAP) method to display key features and visualize the decision-making process of the model for each individual. …”
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Abnormal sagittal patellar tilt during active knee flexion and extension on 4DCT might be associated with patellofemoral pain by Yurou Chen, Xin Liu, Bo Sheng, Mao Yuan, Furong Lv, Fajin Lv, Fan Yu, Jia Li

“…The pattern of patellar sagittal motion during dynamic process was consistent between PFP and control groups. …”
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SIA: Modelo para simulação da irrigação por aspersão - Calibração e validação SIA: Model for simulation of sprinkler irrigation - Calibration and validation by Henrique F. E. de Oliveira, Alberto Colombo, Lessandro C. Faria, Samuel Beskow, Giuliani do Prado

“…<br>Great majority o mathematical simulation models of water application by sprinkler requires laborious tasks of calibration and validation and high processing power of computers as well. This study was conducted in order to calibrate and validate the SIA - Simulation Model for Sprinkler Irrigation, referring to the operation of rain guns in real field conditions. …”
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An Assessment of the Effectiveness of Preoperative İmaging Modalities (MRI, CT, and 18F-FDG PET/CT) in Determining the Extent of Disease Spread in Epithelial Ovarian–Tubal–Peritone... by Hülya Kandemir, Hamdullah Sözen, Merve Gülbiz Kartal, Zeynep Gözde Özkan, Samet Topuz, Mehmet Yavuz Salihoğlu

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Gradient Boosting Feature Selection for Integrated Fault Diagnosis in Series-Compensated Transmission Lines by Rab Nawaz, Abdul Wadood, Khawaja Khalid Mehmood, Syed Basit Ali Bukhari, Hani Albalawi, Aadel Mohammed Alatwi, Muhammad Sajid

“…The results showed that RF achieved the highest accuracy of 99.94%, whereas XGB exhibited the fastest computational time of 0.2790 s for binary classification. …”
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