An Image-Based Concrete-Crack-Width Measurement Method Using Skeleton Pruning and the Edge-OrthoBoundary Algorithm by Chunxiao Li, Hui Qin, Yu Tang, Hailiang Zhao, Shengshen Pan, Jinbo Liu, Wenjiang Luo

“…Additionally, an intersection removal algorithm based on dilation replaces the midpoint circle algorithm to segment the crack skeleton into computable parts. …”
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Machine Learning-Assisted Mitigation of Optical Multipath Interference in PAM4 IM-DD Transmission Systems by Wenxin Cui, Jiahao Huo, Jin Zhu, Jianlong Tao, Peng Qin, Xiaoying Zhang, Haolin Bai

“…This paper aims to mitigate multipath interference (MPI) in intensity modulation with direct detection (IM-DD) systems using machine learning techniques, specifically for four-level pulse amplitude modulation (PAM4) systems. …”
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Investigation into the Feasibility of a Synergistic Photocatalytic Degradation Process for Fracturing Flowback Fluid Streams Utilizing O₃ and Ti/Ni Composite Materials by Huohai Yang, Yeqi Gong, Xin Chen, Renze Li, Yuhang Chen, Mingjun Li, Xinrui Tang

“…These findings provide crucial insights for improving and optimizing external treatment techniques in shale gas fracturing operations.…”
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Advanced methodology for maximum torque point tracking of hybrid excitation PMSM for EVs by Mahmoud M. Elymany, Nadia A. Elsonbaty, Aymen FLah, Lukas Prokop, Habib Kraiem, Mohamed A. Enany, Ahmed A. Shaier

“…A novel unidirectional excitation current method is proposed to replace traditional bidirectional field current control, eliminating the risk of permanent magnet demagnetization, reducing copper losses, and increasing efficiency. …”
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Hybrid Darknet53-SVM model with random grid search optimization for enhanced colorectal cancer histological image classification by Pragati Patharia, Prabira Kumar Sethy, K. Lakshmipathi Raju, Anita Khanna, Ashoka Kumar Ratha, Santi Kumari Behera, Aziz Nanthaamornphong

“…To enhance the classification performance, Darknet53 was hybridized with a SVM by replacing the dense layer, and hyperparameters were optimized using a Random Grid Search algorithm. …”
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Segmentation detection method in tree-shaded environment for road cracks collected by inspection vehicle on WFU-Unet by Qiong Zhang, Shilin Huang, Haomiao Wang, Zhonghang Ji, Shuang Zheng, Yunqing Liu

“…Finally, the Up module substitutes conventional upsampling techniques to minimize spatial information loss of cracks. …”
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Post-Dilution on Line Haemodiafiltration with Citrate Dialysate: First Clinical Experience in Chronic Dialysis Patients by Vincenzo Panichi, Enrico Fiaccadori, Alberto Rosati, Roberto Fanelli, Giada Bernabini, Alessia Scatena, Francesco Pizzarelli

“…Bicarbonate dialysate (BHD) replacing citrate for acetate is now used in chronic haemodialysis but has never been tested in postdilution online haemodiafiltration (OL-HDF). …”
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Effect of fermentation duration on rice straw (Oryza Sativa L) in bioethanol quality by Yusron Rifky, Umami Mahrus, Ahmad Sabaruddin, Arendra Anis, Irawan Ibnu

“…Bioethanol is a liquid alternative fuel that has the potential to serve as a substitute for, and potentially even replace, fossil fuels. Hence, considering the substantial amount of agricultural waste generated and its underutilization, it is feasible to transform agricultural waste into a liquid fuel known as bioethanol. …”
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A Comprehensive Framework for Transportation Infrastructure Digitalization: TJYRoad-Net for Enhanced Point Cloud Segmentation by Zhen Yang, Mingxuan Wang, Shikun Xie

“…Two lightweight surface reconstruction techniques are implemented: (1) algorithmic reconstruction, which delivers a 6.3 mm elevation error at 95% confidence in complex intersections, and (2) template matching, which replaces road markings, poles, and vegetation using bounding boxes. …”
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Advancements and challenges of artificial intelligence in dermatology: a review of applications and perspectives in China by Jiaao Yu, Io Hong Cheong, Zisis Kozlakidis, Hui Wang

“…Although AI demonstrated comparable results to human experts, AI still cannot replace dermatologists due to limitations in generalizability and interpretability. …”
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Rotten strawberry classification based on EfficientNet V2 algorithm fused with GCN and CA-Transformer by WANG Wei, YANG Shizhong, GONG Yucheng, GAO Sheng, DENG Zhaopeng

“…ObjectiveImproving the accuracy and efficiency of rotting strawberry classification using modern computer vision techniques and deep learning methods.MethodsA classification method for rotten strawberries based on EfficientNet V2 fusion with Graph Convolutional Network (GCN) and Channel-Attention Transformer (CA-Transformer) has been proposed. …”
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Assessing and Forecasting Natural Regeneration in Mediterranean Landscapes After Wildfires by Paraskevi Oikonomou, Vassilia Karathanassi, Vassilis Andronis, Ioannis Papoutsis

“…Validation was conducted using photointerpretation techniques and CORINE land cover data. The findings suggest that sclerophyllous species regenerate faster, while fir forests recover slowly and may be replaced by sclerophylls. …”
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Cell Death and Proliferation Variability Caused by Different Dust Clay Minerals Using the Single‐Cell Method by Z. Ramirez‐Diaz, A. Deonarine, M. Plantier, N. Shaghaghi, K. Ardon‐Dryer

“…Unlike other population techniques, this analysis monitors each cell individually by coupling fluorescent microscopy with an incubation system to continuously image the cells every 15 min for 48‐hr. …”
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Comparative Life Cycle Assessment of Warehouse Construction Systems Under Distinct End-of-Life Scenarios by Paulo Cezar Vitorio Junior, Víctor Yepes, Fabio Onetta, Moacir Kripka

“…There is an increasing demand to replace traditional construction techniques with more sustainable systems that can reduce environmental impacts. …”
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Reparameterized Feature Aggregation Convolutional Neural Network for Remote Sensing Scene Image Classification by Cuiping Shi, Mengxiang Ding, Liguo Wang

“…With the advancement of deep learning techniques, transformer has been introduced into remote sensing scene classification (RSSC). …”
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Innovative strategies in coagulation management for cardiothoracic surgery: a narrative review of pharmacological and nonpharmacological approaches by Aleena Ihtasham, Sahla Waqas, Muhammad Hamza, Haider Imran, Saraiba Sabar Chaudhary, Tayyaba Qayyum, Sadia Batool, Nimarta Devi, Muhammad Ali Muzammil, Malik Olatunde Oduoye

“…However, aprotinin has been replaced by tranexamic acid for safety reasons. Supplementing nonpharmacological techniques, such as hemostatic agents and mechanical devices, with these pharmacological strategies can enhance surgical coagulation management. …”
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STT-Net: Simplified Temporal Transformer for Emotion Recognition by Mustaqeem Khan, Abdulmotaleb El Saddik, Mohamed Deriche, Wail Gueaieb

“…In this work, we propose a novel temporal shifting approach for a frame-wise transformer-based model by replacing multi-head self-attention (MSA) with multi-head self/cross-attention (MSCA) to model the temporal interactions between tokens without additional cost. …”
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On the Gap to Channel Capacity of Generalized Low-Density Parity-Check Codes by Dongxu Chang, Qingqing Peng, Guanghui Wang, Guiying Yan, Dawei Yin

“…Based on the above techniques, we demonstrate that with an appropriate proportion of generalized constraint (GC) nodes, despite the rate loss when single parity-check (SPC) nodes are replaced by GC nodes, GLDPC codes can reduce the original gap to capacity compared to their original LDPC counterparts. …”
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Robust ensemble classifier for advanced synthetic aperture radar target classification in diverse operational conditions by Noor Rahman, Muzammil Khan, Imran Khan, Jawad Khan, Youngmoon Lee

“…The methodology employs ResNet, a deep learning architecture known for its superior feature extraction and classification capabilities, replacing AlexNet to address limitations in generalization and consistency. …”
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Critical Review and Benchmark Proposal on FE Modeling for Patch Loading Resistance of Slender Steel Plate Girders in Launched Bridges by Marck Anthony Mora Quispe

“…Traditional design methods enhance patch loading resistance through various stiffening techniques, with contributions typically estimated via code expressions calibrated on experimental data that do not always reflect the complexities of full-scale bridge applications. …”
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