Corrigendum to “Modeling and Robustness Study of Railway Transport Networks Using P-Timed Petri Nets” by Anis Mhalla, Mouhaned Gaied

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Proposed Detection Face Model by MobileNetV2 Using Asian Data Set by Phat Nguyen Huu, Vinh Tran Quang, Chau Nguyen Le Bao, Quang Tran Minh

“…To solve the problem, each person needs to wear masks in a public place. Therefore, we propose a model capable of distinguishing between masked and nonmasked faces using a convolutional neural network (CNN) based on deep learning (DL)—MobileNetV2 in this paper. …”
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Modelling of flood hazard using topographic wetness index in Yeh Ho Watershed, Bali, Indonesia by Adnyana I Made, Wiguna Putu Perdana Kusuma

“…BIO Web of Conferences…”
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EEG-RegNet: Regressive Emotion Recognition in Continuous VAD Space Using EEG Signals by Hyo Jin Jon, Longbin Jin, Hyuntaek Jung, Hyunseo Kim, Eun Yi Kim

“…While deep learning models have been extensively studied, most are designed for classification tasks and struggle to accurately predict continuous emotional scores in regression settings. In this paper, we introduce EEG-RegNet, a novel deep neural network tailored for precise emotional score prediction across the continuous valence–arousal–dominance (VAD) space. …”
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Research on Pump Primers for Friction Reduction of Wet-Mix Shotcrete Based on Precreating Lubricating Layer by Guoming Liu, Lianjun Chen, Weimin Cheng, Yanan Huang

“…In order to minimize the loss of water and wet pipes, a new type of pump primers was developed to precreate the lubricating layer that is one of the most dominant factors in determining the pumping capability, which would provide a cost-effective replacement for premium priced cement-based primers. …”
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Water Use Efficiency and Physiological Response of Rice Cultivars under Alternate Wetting and Drying Conditions by Yunbo Zhang, Qiyuan Tang, Shaobing Peng, Danying Xing, Jianquan Qin, Rebecca C. Laza, Bermenito R. Punzalan

“…One of the technology options that can help farmers cope with water scarcity at the field level is alternate wetting and drying (AWD). …”
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Transitioning from wet lab to artificial intelligence: a systematic review of AI predictors in CRISPR by Ahtisham Fazeel Abbasi, Muhammad Nabeel Asim, Andreas Dengel

“…To achieve this goal AI-driven applications are being integrated into each step, but existing AI predictors have limited performance and many steps still rely on expensive and time-consuming wet-lab experiments. The primary reason behind low performance of AI predictors is the gap between CRISPR and AI fields. …”
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The effects of the Wnt/β-catenin signaling pathway on the in vitro differentiation of rat BMSCs into leydig cells by Pengyu Yan, Yaxiong Guo, Shoaib Muhammad, Jinxiong Zhu, Yuxiang Liu, Chun Liu

Subjects: “…Late-onset hypogonadism…”
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The role of physico-chemical properties of liquid solder in reactive wetting: the Cu/SnZnIn system by Pstruś J.

“…The technique of sessile drop was applied in the measurements of wetting angles and spreading test in the SnZnIn/ Cu system. …”
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RETRACTED: Machine learning insights into log files with ML.NET for real-time farm monitoring by Nuriev Marat, Zaripova Rimma, Filimonova Tamara, Kuznetsov Maxim

“…BIO Web of Conferences…”
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A high-throughput ResNet CNN approach for automated grapevine leaf hair quantification by Nagarjun Malagol, Tanuj Rao, Anna Werner, Reinhard Töpfer, Ludger Hausmann

“…Therefore, a validated high-throughput phenotyping tool was developed and established in order to detect and quantify leaf hair using images of single grapevine leaf discs and convolution neural networks (CNN). We trained modified ResNet CNNs with a minimalistic number of images to efficiently classify the area covered by leaf hairs. …”
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LoCS-Net: Localizing convolutional spiking neural network for fast visual place recognition by Ugur Akcal, Ugur Akcal, Ugur Akcal, Ivan Georgiev Raikov, Ekaterina Dmitrievna Gribkova, Ekaterina Dmitrievna Gribkova, Anwesa Choudhuri, Anwesa Choudhuri, Seung Hyun Kim, Mattia Gazzola, Rhanor Gillette, Rhanor Gillette, Ivan Soltesz, Girish Chowdhary, Girish Chowdhary, Girish Chowdhary

“…To address these shortcomings, we developed an end-to-end convolutional SNN model for VPR that leverages backpropagation for tractable training. …”
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NEIL3 and TOP2A as key drivers of esophageal cancer through WNT signaling by Hui Li, Panpan Wang, Huijuan Chen, Yanyan Shao, Hui Luo

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Study on the Influence of the Wet Clutch Applied Load Way on Its Thermal Structural Stress Field by Chen Yao, Zhang Zhigang, Shi Xiaohui, Liang Meilin, Yin Sheng

Subjects: “…Wet clutch…”
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Combining Multi-Scale U-Net With Transformer for Welding Defect Detection of Oil/Gas Pipeline by Shanwen Zhang, Xuqi Wang, Ting Zhang

Subjects: “…residual-dilated-inception U-Net…”
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A Tactical Games Model lesson plan to teach net games skills in elementary school by Antonella Quinto, Teresa Iona, Michele Barca, Francesco Sgrò

“…The study aimed to assess the efficacy of two physical education approaches, Traditional Teaching (TT) and Tactical Games Model (TGM), on some fourth-grade classes over a 13-weeks period. Using the Game Performance Assessment Instrument (GPAI), indices of tactical awareness and game play skills were measured. …”
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Diagnostic utility of LEF1 and β-catenin in WNT pathway tumors with CTNNB1 mutation by Can Li, Lingdan Dong, Li Zhu, Wenbin Guan

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Bond Behavior of Wet-Bonded Carbon Fiber-Reinforced Polymer-Concrete Interface Subjected to Moisture by Yiyan Lu, Tao Zhu, Shan Li, Zhenzhen Liu

“…Before CFRP bonding, the concrete blocks are preconditioned with a water content of 4.73% (termed “wet-bonding”). Three different epoxy resins are applied to study the bond performance of the CFRP-concrete interface when subjected to moisture (95% relative humidity). …”
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Experimental Study on Physicomechanical Properties of Deep Sandstone by Coupling of Dry-Wet Cycles and Acidic Environment by Xin Huang, Jianyong Pang, Guangcheng Liu, Yu Chen

“…In this study, both the physical and mechanical properties under acid dry-wet (A-D-W) cycles were investigated. Deep sandstone was treated repeatedly under acid cycling, and its physical parameters were measured. …”
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Experimental Study on Cracking Behaviour and Strength Properties of an Expansive Soil under Cyclic Wetting and Drying by Tao Li, Yanqing He, Guokun Liu, Binru Li, Rui Hou

“…The applied vertical load reduces the weakening effect of the wetting-drying cycles on the soil structure and strength by restraining the expansion and contraction deformation. (2) By analyzing the number of wetting-drying cycles and the crack images, the crack development (length, direction, etc.) of the expansive soil can be predicted and described. (3) There is a specific linear correlation between the crack ratio and strength that approached a limit value with ongoing wetting-drying cycles. …”
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