A Novel Network for Choroidal Segmentation Based on Enhanced Boundary Information by Wenbo Huang, Chaofan Qu, Yang Yan

“…A custom loss function, specifically designed to replace the conventional Mean Squared Error (MSE) loss, is utilized to optimize network parameters, leading to further improvements in segmentation performance. …”
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GDnet-IP: Grouped Dropout-Based Convolutional Neural Network for Insect Pest Recognition by Dongcheng Li, Yongqi Xu, Zheming Yuan, Zhijun Dai

“…This study introduces a grouped dropout strategy and modifies the CNN architecture to improve the accuracy of multi-class insect recognition. Specifically, we optimized the base model by selecting appropriate optimizers, fine-tuning the dropout probability, and adjusting the learning rate decay strategy. …”
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Ensuring service continuity in electric vehicles with vector control and linear quadratic regulator for dual star induction motors by Z. Darsouni, S. E. Rezgui, H. Benalla, F. Rebahi, M. A. M. Boumendjel

“…The aim is to maximize both system performance and service continuity through the optimal design of the controller. Methods. DSIM is controlled by a LQR, which is replaced the traditional PI controller in the field-oriented control (FOC) system for speed regulation. …”
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Adaptive models of the four-switch buck-boost converter by O.V. Vasylenko, G.V. Snizhnoi

“…To control the rigidity of the model and accelerate the simulation, optimal values of the resistances of these resistors are obtained. …”
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Powerful high-orbit gyro-TWT by S. V. Kolosov, O. O. Shatilova

“…Sveshnikov, which is based on replacing the problem of exciting an irregular waveguide with the problem of exciting a regular waveguide with a unit radius. …”
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Effects of ambient lighting conditions on the scanning accuracy and shade matching capability of intraoral scanners: an in vitro study by Yongqing Guo, Yun Ma, Zien Wang, Hao Yu

“…However, research on the optimal levels of both illuminance and color temperature for the scanning accuracy and shade matching capability of intraoral scanners (IOSs) remains limited. …”
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TripletA-Net: A Deep Learning Model for Automatic Railway Track Extraction from Airborne LiDAR Point Clouds by Runyuan Zhang, Qiong Ding, Alex Hay-Man Ng, Dan Wang, Jiwei Deng, Mingwei Xu, Yuelin Hou

“…This shift has underscored the need for automated and intelligent detection technologies to replace the traditional, labor-intensive methods in railway maintenance. …”
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Development of a Novel Gluten-Free Cookie Premix Enriched with Natural Flours Using an Extreme Vertices Design: Physical, Sensory, Rheological, and Antioxidant Characteristics by Sabrina Ferradji, Hayat Bourekoua, Fairouz Djeghim, Radia Ayad, Marta Krajewska, Renata Różyło

“…This work aimed to develop novel alternative gluten-free premixes for use in the production of cookies by optimizing the formulation of three different starches (corn, potato, and tapioca starch) in a rice/corn formula and then enriching the optimized formula with various natural flours (acorn, soy, chestnut, chickpea, millet, and quinoa). …”
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Growth Performance and Nutritional Content of Tropical House Cricket (<i>Gryllodes sigillatus</i> (Walker, 1969)) Reared on Diets Formulated from Weeds and Agro By-Products by Henlay J. O. Magara, Sylvain Hugel, Brian L. Fisher

“…Generally, <i>G. sigillatus</i> grew best and had the most nutritious body composition on the Mixed Weed–Bran Diet (Optimal). The findings indicate that diets developed from weeds and agro by-products have great potential to be used as an alternative feed source for crickets and are capable of replacing expensive chicken feed, enhancing the circular farming potential of insect farming.…”
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Implementation of Energy-saving Technologies in House construction by E. I. Krupnov, I. A. Zaytseva, S. A. Loginova, A. V. Simagin

“…Over the past decades, heat pumps have gained great popularity due to their advantages in energy efficiency and environmental friendliness, becoming one of the most attractive alternatives to replace traditional heating systems running on fossil fuels. …”
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Development and Implementation of an Automated Production Line Training System by Ali Noori, Faiz Fawzi, Hussain Tabina, Egorov Nikolaevich

“…The development process replaced the six PLCs with a single CYMON PLC and eliminated the need for CC-Link network devices, reducing system complexity and cost. …”
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Hardware Acceleration of Division-Free Quadrature-Based Square Rooting Approach for Near-Lossless Compression of Hyperspectral Images by Amal Altamimi, Belgacem Ben Youssef

“…In this regard, the two division operations inherent in the original approach were replaced with pre-computed reciprocals, multiplications, and a geometric series expansion. …”
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FB-YOLOv8s: A fire detection algorithm based on YOLOv8s by Yuhang Liu, Chunjuan Bo, Chong Feng

“…Finally, we adopt the WIoUv3 loss function to optimize the training process and improve detection accuracy. …”
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Characteristics of pensi pempek (Corbicula moltkiana) on tapioca flour substitution with sago flour by Budaraga I Ketut, Sidabalok Inawaty, Rasyid Said Abdul

“…The issue remains the use of flour from other countries, so it is vital to optimize the use of local products such as sago flour and substituting pensi for mackerel. …”
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Machine learning approach for noninvasive intracranial pressure estimation using pulsatile cranial expansion waveforms by Gustavo Frigieri, Sérgio Brasil, Danilo Cardim, Marek Czosnyka, Matheus Ferreira, Wellingson S. Paiva, Xiao Hu

“…Abstract Noninvasive methods for intracranial pressure (ICP) monitoring have emerged, but none has successfully replaced invasive techniques. This observational study developed and tested a machine learning (ML) model to estimate ICP using waveforms from a cranial extensometer device (brain4care [B4C] System). …”
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A Novel Lightweight Algorithm for Sonar Image Recognition by Gang Wan, Qi He, Qianqian Zhang, Hanren Wang, Huanru Sun, Xinnan Fan, Pengfei Shi

“…Therefore, we propose a sonar image recognition algorithm optimized for the lightweight algorithm, MobileViT, by analyzing the features of sonar images. …”
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Enzymatically Interesterified <i>Triadica sebifera</i> Oil: A Novel Shortening for Enhanced Nutritional Quality and Sustainability by Ying Liu, Pan Gao, Yong Yang, Chunxiao Liu, Wu Zhong, Jiaojiao Yin, Martin J. T. Reaney

“…This novel shortening meets commercial standards and can replace commercial shortening with TFA in baking and cooking applications. …”
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Tower view object detection based on ECIOU structure embedded in YOLO by QIAN Jide, YAN Hao, LIANG Yan, ZENG Changchang, MOU Yihao

“…Then，the GConv and SENet attention mechanisms are introduced to optimize the Bottleneck structure to enhance its feature extraction ability. …”
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Recent Advances and Strategies for Co‐Based Catalysts in Ammonia Decomposition for Hydrogen Production by Sujin Kim, Young Woo Kim, Iljun Chung, Chaeeun Lim, Kijung Yong, Yongju Yun

“…Hydrogen has been proposed as a clean energy source to replace fossil fuels. The hydrogen economy encompasses the production, storage, transport, and use of hydrogen. …”
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Inclusive innovation: Implementation of low-cost proximity sensors for canes by Herald Gonzales-Saavedra, Kenjy Garcia-Hurtado, Carlos Gallegos-Pinedo, Rodrigo Tenazoa-Bardales, Anthony Ordinola-Sinarahua, Diego Hilario-Putpaña, Dick Diaz-Delgado

“…During testing, it demonstrated high effectiveness in detecting large objects and issuing immediate alerts; however, it showed limitations with small objects, liquids, and humid environments. The need to optimize the battery, which is currently replaceable, was identified, and as a future improvement, the incorporation of wireless charging technologies and LIDAR sensors was proposed for more precise detection. …”
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