Rapid Detection of Astaxanthin in Antarctic Krill Meal by Computer Vision Combined with Convolutional Neural Network by Quantong ZHANG, Yao ZHENG, Liu YANG, Shuaishuai ZHANG, Quanyou GUO

“…The results showed that the optimal hyperparameters model with a root mean square error (RMSE) of 3.59 was preserved through a five-fold cross-validation. …”
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Exploring ACC deaminase-producing bacteria for drought stress mitigation in Brachiaria by Jéssica P. Ferreira, Márcia S. Vidal, José I. Baldani

“…Confocal microscopy analysis revealed the rhizospheric and inner root colonization of B. ruziziensis and B. brizantha cv. …”
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Integration of multi agent reinforcement learning with golden jackal optimization for predicting average localization error in wireless sensor networks by K. Lakshmi Prabha, Hanan Abdullah Mengash, Hamed Alqahtani, Randa Allafi

“…Machine learning-based approaches have improved localization accuracy but require extensive labeled datasets and often lack adaptability to real-time variations. …”
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A fine-tuned convolutional neural network model for accurate Alzheimer’s disease classification by Muhammad Zahid Hussain, Tariq Shahzad, Shahid Mehmood, Kainat Akram, Muhammad Adnan Khan, Muhammad Usman Tariq, Arfan Ahmed

“…They usually require a lot of labeled data and do not transfer well to new datasets. …”
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HTSA-LSTM: Leveraging Driving Habits for Enhanced Long-Term Urban Traffic Trajectory Prediction by Yiying Wei, Xiangyu Zeng, Xirui Chen, Hui Zhang, Zhengan Yang, Zhicheng Li

“…In comparison to benchmark models, HTSA-LSTM achieved a 20.72% reduction in the root mean square error (RMSE) and a 24.98% reduction in the negative log likelihood (NLL) for 5 s predictions of long-term trajectories. …”
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LightSTATE: A Generalized Framework for Real-Time Human Activity Detection Using Edge-Based Video Processing and Vision Language Models by Anik Debnath, Yong-Woon Kim, Yung-Cheol Byun

“…The system processes video streams through efficient frame extraction, edge detection and Root Mean Square Error (RMSE)-based frame filtering to identify significant motion events. …”
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An Open-Access Repository of Synchrophasor Data Quality Examples: Curation and Example Applications by Shuchismita Biswas, Tianzhixi Yin, Syed Ahsan Raza Naqvi, Jim Follum, Antos Cheeramban Varghese, Tawsif Ahmad, Pavel Etingov

“…It is found that the introduction of quantization noise and intermittent data anomalies can increase the root mean square error for event start time determination by 1-4 seconds. …”
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Automatic Robotic Ultrasound for 3D Musculoskeletal Reconstruction: A Comprehensive Framework by Dezhi Sun, Alessandro Cappellari, Bangyu Lan, Momen Abayazid, Stefano Stramigioli, Kenan Niu

“…Compared to the reference 3D reconstruction result derived from the MRI scan, ARUS achieved a 3D reconstruction root mean square error (RMSE) of 1.22 mm, with a mean error of 0.94 mm and a standard deviation of 0.77 mm. …”
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Influence of ambient light on the accuracy of different face scanning methods: an in-vitro study by Paul Ulrich Keil, Florian Beuer, Alexey Unkovskiy, Ece Atay, Marie-Elise Jennes

“…All accuracy results were labelled as highly reliable, except for the iPad´s trueness results. …”
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Isolation and Identification of <i>Burkholderia stagnalis</i> YJ-2 from the Rhizosphere Soil of <i>Woodsia ilvensis</i> to Explore Its Potential as a Biocontrol Agent Against Plant... by Xufei Zhu, Wanqing Ning, Wei Xiao, Zhaoren Wang, Shengli Li, Jinlong Zhang, Min Ren, Chengnan Xu, Bo Liu, Yanfeng Wang, Juanli Cheng, Jinshui Lin

“…We used in vitro assays to further show that the metabolites of <i>B. stagnalis</i> YJ-2 disrupted the hyphal morphology of <i>Valsa mali</i>, resulting in swelling, reduced branching, and increased pigmentation. Fluorescence labeling confirmed that <i>B. stagnalis</i> YJ-2 stably colonized the roots and stems of tomato and wheat plants. …”
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Neural Network Prediction and Enhanced Strength Properties of Natural Fibre-Reinforced Quaternary-Blended Composites by Pavithra Chandramouli, Mohamed Riyaaz Nayum Akthar, Veerappan Sathish Kumar, Revathy Jayaseelan, Gajalakshmi Pandulu

“…The model’s effectiveness was evaluated using statistical metrics such as correlation coefficient (R), coefficient of determination (R²), root mean square error (RMSE), mean absolute error (MEA), and mean absolute percentage error (MAPE). …”
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Natural and semi-synthetic insecticides protect onion from wireworms by Prijović Mirjana, Dervišević Marina, Drobnjaković Tanja, Stojanović Luka, Miladinović Vladimir, Ugrinović Milan

“….), pose a significant threat to global agriculture, particularly to root vegetables, such as onion. Their subterranean lifestyle, as well as the withdrawal of some traditional synthetic insecticides, make them challenging to control. …”
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Evaluation of Depth Anything Models for Satellite-Derived Bathymetry by E. Günaydın, İ. Yakar, T. Bakırman, M. O. Selbesoğlu

“…The predicted depth maps were also scaled to obtain Root Mean Square Error (RMSE) and Mean Absolute Error (MAE). …”
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Evaluation of slag fertilizer potential in Capsicum annuum L. cultivation and production by Oumaima Ouala, Yasser Essadki, Hicham Khalisse, Hassan Chagiri, Abdelilah Meddich, Fatima El Khalloufi, Brahim Oudra

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Optimizing sowing date, fertilization, and irrigation strategies for winter wheat in Tensift Al Haouz (Morocco) using the DSSAT-CERES-wheat model by Lahoucine Ech-chatir, Salah Er-Raki, Julio Cesar Rodriguez, Abdelilah Meddich, Abdelghani Chehbouni

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No-tillage with total green manure incorporation: A better strategy to higher maize yield and nitrogen uptake in arid irrigation areas by Hanqiang Lü, Aizhong Yu, Qiang Chai, Feng Wang, Yulong Wang, Pengfei Wang, Yongpan Shang, Xuehui Yang

“…In a micro-plot experiment, 15N technology was utilized to label green manure crops. Five treatments were applied in the research methodology: conventional tillage without green manure as the control (CT), tillage with total green manure incorporation (TG), no-tillage with total green manure mulching (NTG), tillage with only root incorporation (T), and no-tillage with removal of aboveground green manure (NT). …”
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Purple nutsedge (Cyperus rotundus) response to postemergence herbicides varies with mode of action and plant growth stage by Vijay Varanasi, Taghi Bararpour, Partson Mubvumba, Reginald Fletcher, Krishna Reddy

“…A reduction of >90% in shoot and root biomass was observed when glyphosate, halosulfuron, and trifloxysulfuron were applied, whereas glufosinate and bentazon applications resulted in 50% less biomass reduction. …”
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Characterization of deciduous teeth stem cells isolated from crown dental pulp by Debeljak-Martačić Jasmina, Francuski Jelena, Lužajić Tijana, Vuković Nemanja, Mojsilović Slavko, Drndarević Neda, Petakov Marijana, Glibetić Marija, Marković Danica, Radovanović Anita, Todorović Vera, Kovačević-Filipović Milica

“…In the present study we described immunophenotype and the proliferative and differentiation potential of cells isolated from pulp remnants of exfoliated deciduous teeth in the final phase of root resorption. Methods. The initial adherent cell population from five donors was obtained by the outgrowth method. …”
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Calcium-doped zinc oxide nanocrystals as an innovative intracanal medicament: a pilot study by Gabriela Leite de Souza, Thamara Eduarda Alves Magalhães, Gabrielle Alves Nunes Freitas, Nelly Xiomara Alvarado Lemus, Gabriella Lopes de Rezende Barbosa, Anielle Christine Almeida Silva, Camilla Christian Gomes Moura

“…Digital radiographs were acquired for radiopacity analysis and bubble counting of each material. The materials were labeled with 0.1% fluorescein and applied to root canals, and images of their dentinal tubule penetration were obtained using confocal laser scanning microscopy. …”
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Predicting crop yield lows through the highs via binned deep imbalanced regression: A case study on vineyards by Hamid Kamangir, Brent S. Sams, Nick Dokoozlian, Luis Sanchez, J. Mason Earles

“…Our approach outperforms existing models in R-squared (R2), Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and Mean Absolute Percentage Error (MAPE). …”
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