PepSeq as a highly multiplexed platform for melioidosis antigen discovery and vaccine development by Evan A. Elko, Charles H. D. Williamson, Heather R. Green, Marcellene A. Gates-Hollingsworth, Georgia A. Nelson, Sujata G. Pandit, Heather L. Mead, Christopher Allender, Celeste Woerle, Mark Mayo, Bart J. Currie, Bart J. Currie, David P. AuCoin, John A. Altin, Paul Keim, Paul Keim, Paul Keim, Erik W. Settles, Erik W. Settles, Jason T. Ladner, Jason T. Ladner

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Explainable artificial intelligence visions on incident duration using eXtreme Gradient Boosting and SHapley Additive exPlanations by Khaled Hamad, Emran Alotaibi, Waleed Zeiada, Ghazi Al-Khateeb, Saleh Abu Dabous, Maher Omar, Bharadwaj R.K. Mantha, Mohamed G. Arab, Tarek Merabtene

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A Convolutional Neural Network–Based Approach for Detecting Solar System Objects in Wide-field Imaging by Aram Lee, J. J. Kavelaars, Hossen Teimoorinia, Wesley Fraser, Edward Ashton

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A Modified Grey Wolf Algorithm with Applications to Engineering by Vahid Mahboub

“…But the problem that can be mentioned about it is that the decreasing factor used in it is linear and in some non-linear problems, it may cause more error or late convergence to the original solution. …”
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The neural signature of high myopia: structural and functional brain alterations and their cognitive-emotional associations by Xuan Li, Kuan Zhao, Kuan Zhao, Kuan Zhao, Boling Deng, Boling Deng, Boling Deng, Zhengzheng Wu, Zhengzheng Wu, Zhengzheng Wu, Ling Wei, Ling Wei, Ling Wei

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An Advanced Compression Molding Simulation and Validation of a Thick-Walled Carbon Fiber Sheet Molding Compound Brake Caliper by Andreas Kapshammer, Severin Huemer-Kals, Kepa Zulueta, Peter Fischer, Zoltan Major

“…However, the current modeling approaches have limited predictive capabilities for the fiber orientation in thin-walled regions. This research underscores the challenges in accurately modeling CF-SMC materials in terms of the fiber orientation, whereas the compression forces needed from the pressing machine could be predicted accurately within an average error of 6.5% in the squeeze flow experiments.…”
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Saddle and nodal point aspects on stagnation point MHD Casson nanofluid flow over Howarth’s wavy circular cylinder with pollutant concentration with stochastic intelligence approac... by G.K. Tejaswini, B.M. Santhosh, Bhavesh Kanabar, V. Sandeep, K. Vinutha, K.V. Nagaraja

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Lifetime Prediction Analysis of Proton Exchange Membrane Fuel Cells Based on Empirical Mode Decomposition—Temporal Convolutional Network by Chao Zheng, Changqing Du, Jiaming Zhang, Yiming Zhang, Jun Shen, Jiaxin Huang

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VTWSAR: A Fast Calculation Method for Visible Time Window of SAR Satellite to Regional Target by Xin Shi, Wenjie Xing, Huitao Liu, Yanxue Wang, Mengdao Xing

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Evaluation of crop phenology using remote sensing and decision support system for agrotechnology transfer by Naz Ul Amin, Fakhrul Islam, Muhammad Umar, Waqas Muhammad, Siddiq Ur Rahman, Abdel-Rhman Z. Gaafar, Tawaf Ali Shah, Musaab Dauelbait, Mohammed Bourhia

“…The performance metrics, comprising the coefficient of residual mass (CRM) and normalized root mean square error (nRMSE), further substantiate the approach utilized. …”
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The Representative Points of Generalized Alpha Skew-<i>t</i> Distribution and Applications by Yong-Feng Zhou, Yu-Xuan Lin, Kai-Tai Fang, Hong Yin

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Evaluation of Measurement Uncertainty for the Wave Buoy Calibration Device Using a Vertical Lifting Method by Yafei Huang, Donglei Zhao, Chenhao Gao, Tian Yan, Lijun He

“…Additionally, a high-precision time calibration method synchronizes the time of the motor’s upper computer software and a frequency meter, minimizing indication error. Key uncertainty sources, including repeatability, environmental temperature effects, and the smallest division measure of instrument, were systematically analyzed. …”
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Leveraging SARs and Advanced Deep Learning Techniques for Oil Spill Detection in UAE by M. Alkhalifa, A. Alowais, A. Manousakis, A. Manousakis

“…The ViT accomplished 0.91 accuracy on unseen data with error of 0.3. We put the model into test on new SAR images. …”
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DFF-ResNet: An Insect Pest Recognition Model Based on Residual Networks by Wenjie Liu, Guoqing Wu, Fuji Ren, Xin Kang

“…The experimental results indicate that our models have a lower test error than those of baseline models. Then, we applied our models to recognize insect pests and obtained validity on the IP102 benchmark dataset. …”
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Advancements in seasonal rainfall forecasting: A seasonal auto-regressive integrated moving average model with outlier adjustments for Ghana's Western Region by Francis Ayiah-Mensah, Senyefia Bosson-Amedenu, Emmanuel Mensah Baah, John Awuah Addor

“…Diagnostic plots validated the model's performance, and metrics such as the R-squared (99.02 %), mean absolute percentage error (MAPE, 5.97 %), and Theil's U statistic (0.05) demonstrated its accuracy and reliability. …”
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Predicting medication wastage using machine learning based on patient beliefs by Firdaus Aziz, Sorayya Malek, Shubathira Sooriamoorthy, Ilham Asyilah Mahamood, Chong Wei Wen, Sharifah M. Syed Ahmad, Putri Nur Fatin Amir Rudin, Adliah Mhd Ali

“…Multiple ML regression models were evaluated to predict medication wastage, with performance assessed based on root mean squared error (RMSE). Results The XGBoost model achieved the best performance with the lowest RMSE of 4.67, outperforming other models (RMSE range:4.68–5.10). …”
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Spatial Downscaling of Sea Level Anomaly Using a Deep Separable Distillation Network by Senmin Shi, Yineng Li, Yuhang Zhu, Tao Song, Shiqiu Peng

“…The use of high-resolution sea level anomaly (SLA) data in climate change research and ocean forecasting has become increasingly important. …”
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Finite Element Analysis of a Novel Temporary External Fixator (TEF) in Mandibular Reconstruction by Rungsan Chaiyachet, Surasith Piyasin, Weerayut Jina, Teerawat Paipongna, Apichart Boonma

“…This research examines temporary external fixators (TEF) with four screw plate configurations following segmental mandibulectomy. …”
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Translation of computed tomography images to T2-Weighted magnetic resonance images of lumbar spine using generative adversarial networks on sagittal images by Kwang Hyeon Kim, Eun-Chong Lee, Yeo Dong Yoon, Dong-Won Shin, Hae-Won Koo, Byung-Jou Lee

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Structural behavior of reinforced concrete column having mid-span transverse opening: Experimental study and numerical analysis by Majid Hassan, Suliman Khan, Shaojun Fu, Khushal Khan

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