Optimized ANN Model for Predicting Buckling Strength of Metallic Aerospace Panels Under Compressive Loading by Shahrukh Khan, Saiaf Bin Rayhan, Md Mazedur Rahman, Jakiya Sultana, Gyula Varga

“…These findings highlight the model’s potential as a robust and efficient tool for predicting the buckling strength of metallic aerospace grid-stiffened panels.…”
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A new approach to Health Benefits Package design: an application of the Thanzi La Onse model in Malawi. by Margherita Molaro, Sakshi Mohan, Bingling She, Martin Chalkley, Tim Colbourn, Joseph H Collins, Emilia Connolly, Matthew M Graham, Eva Janoušková, Ines Li Lin, Gerald Manthalu, Emmanuel Mnjowe, Dominic Nkhoma, Pakwanja D Twea, Andrew N Phillips, Paul Revill, Asif U Tamuri, Joseph Mfutso-Bengo, Tara D Mangal, Timothy B Hallett

“…An efficient allocation of limited resources in low-income settings offers the opportunity to improve population-health outcomes given the available health system capacity. …”
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Enhancing CNN-Based Signal Denoising: A Novel Metric Framework With Harmonic Suppression Through Hybrid Modeling by Omer Nacar, Turgay Koc

“…The results show that while DDCAE is computationally efficient and performs well in distribution, it struggles with excessive harmonic generation under OOD/real-world conditions. …”
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Spatial distribution and risk factors of Schistosoma haematobium and hookworm infections among schoolchildren in Kwale, Kenya. by Evans Asena Chadeka, Sachiyo Nagi, Toshihiko Sunahara, Ngetich Benard Cheruiyot, Felix Bahati, Yuriko Ozeki, Manabu Inoue, Mayuko Osada-Oka, Mayuko Okabe, Yukio Hirayama, Mwatasa Changoma, Keishi Adachi, Faith Mwende, Mihoko Kikuchi, Risa Nakamura, Yombo Dan Justin Kalenda, Satoshi Kaneko, Kenji Hirayama, Masaaki Shimada, Yoshio Ichinose, Sammy M Njenga, Sohkichi Matsumoto, Shinjiro Hamano

“…The observed small scale clustering of the S. haematobium and hookworm infections might imply less uniform strategies even at finer scale for efficient utilization of limited resources.…”
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Comparative analysis of impact of classification algorithms on security and performance bug reports by Said Maryyam, Bin Faiz Rizwan, Aljaidi Mohammad, Alshammari Muteb

“…., security and performance are a preemptive and fundamental practice which contributes to the development of secure and efficient software. Software Quality Assurance (SQA) needs to classify bugs into relevant categories, e.g., security and performance bugs since one type of bug may have a higher preference over another, thus facilitating software evolution and maintenance. …”
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Equitable post-disaster relief distribution: a robust multi-objective multi-stage optimization approach by Sogand Soghrati Ghasbeh, Nadia Pourmohammadzia, Masoud Rabbani

“…Originality/value – A novel robust multi-stage linear programming model is designed to address the location-distribution-routing problem during a disaster and to solve this model an efficient hybrid meta-heuristic model is developed.…”
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Fabrication of a poly(m‑aminophenol)/3-aminopropyl triethoxysilane/graphene oxide ternary nanocomposite for removal of Cu(II) from aqueous solution by Abeer S. Elsherbiny, Mohamed E. Elhalwagy, Ali H. Gemeay

“…The obtained three composites were applied for efficient removal of Cu(II) from polluted water. PmAP/APTES/GO(6.6) composite was the best one for the uptake of Cu(II) with a maximum adsorption capacity of 324.54 mg/g at 40 °C and pH 7 according to Langmuir. …”
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Low-dimensional spike rate models derived from networks of adaptive integrate-and-fire neurons: Comparison and implementation. by Moritz Augustin, Josef Ladenbauer, Fabian Baumann, Klaus Obermayer

“…Therefore we have made available implementations that allow to numerically integrate the low-dimensional spike rate models as well as the Fokker-Planck partial differential equation in efficient ways for arbitrary model parametrizations as open source software. …”
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Machine learning projection of climate and technology impacts on crops key to food security by Dan Li, Vassili Kitsios, David Newth, Terence John O’Kane

“…Additionally, a novel machine learning climate model emulator allows efficient estimation of crop production growth under a multitude of carbon equivalent emissions scenarios. …”
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Effect of age on complexity and causality of the cardiovascular control: comparison between model-based and model-free approaches. by Alberto Porta, Luca Faes, Vlasta Bari, Andrea Marchi, Tito Bassani, Giandomenico Nollo, Natália Maria Perseguini, Juliana Milan, Vinícius Minatel, Audrey Borghi-Silva, Anielle C M Takahashi, Aparecida M Catai

“…Moreover, it allows the comparison between linear model-based (MB) and nonlinear model-free (MF) techniques and between MF approaches exploiting local predictability (LP) and conditional entropy (CE). …”
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Histogram of Polarization Gradient for Target Tracking in Infrared DoFP Polarization Thermal Imaging by Jianguo Yang, Dian Sheng, Weiqi Jin, Li Li

“…To address these issues, this study presents a novel histogram of polarization gradient (HPG) feature descriptor that enables efficient feature representation of polarization mosaic images. …”
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A systematic review of dengue outbreak prediction models: Current scenario and future directions. by Xing Yu Leung, Rakibul M Islam, Mohammadmehdi Adhami, Dragan Ilic, Lara McDonald, Shanika Palawaththa, Basia Diug, Saif U Munshi, Md Nazmul Karim

“…Dengue is among the fastest-spreading vector-borne infectious disease, with outbreaks often overwhelm the health system and result in huge morbidity and mortality in its endemic populations in the absence of an efficient warning system. A large number of prediction models are currently in use globally. …”
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Flaxseed protein content prediction based on hyperspectral wavelength selection with fractional order ant colony optimization by Bo Wang, Junying Han, Chengzhong Liu, Jianping Zhang, Yanni Qi

“…By combining VNIR-HIS technology with the FOACO wavelength selection algorithm, this study offers an efficient and rapid method for determining the protein content of flaxseed, providing reliable technical support for the precise detection of nutritional components.…”
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YOLO-SW: A Real-Time Weed Detection Model for Soybean Fields Using Swin Transformer and RT-DETR by Yizhou Shuai, Jingsha Shi, Yi Li, Shaohao Zhou, Lihua Zhang, Jiong Mu

“…The research stands out for its novel integration of three key advancements: the Swin Transformer backbone, which leverages local window self-attention to achieve linear O(N) computational complexity for efficient global context capture; the CARAFE dynamic upsampling operator, which enhances small target localization through context-aware kernel generation; and the RTDETR encoder, which enables end-to-end detection via IoU-aware query selection, eliminating the need for complex post-processing. …”
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The path-label reconciliation (PLR) dissimilarity measure for gene trees by Alitzel López Sánchez, José Antonio Ramírez-Rafael, Alejandro Flores-Lamas, Maribel Hernández-Rosales, Manuel Lafond

“…Our contributions We show that PLR can be computed in linear time and that it is a semi-metric. We also discuss the diameters of reconciled gene tree measures, which are important in practice for normalization, and provide initial bounds on PLR, LRF, and ELRF. …”
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Optical Density Assay to Determine the Sensitivity of Globisporangium and Pythium Isolates to Mefenoxam by Umbrin Ilyas, Lindsey J. du Toit, Mary Ruth McDonald

“…The OD assay proved to be efficient, rapid, and accurate for monitoring the mefenoxam sensitivity of these oomycetes. …”
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A mixed-method approach to develop an eco-robust supply chain management framework for Bangladeshi RMG industries by Md Al Amin, Roberto Baldacci

“…The findings underscore that, even within budgetary limits, high-impact, cost-efficient strategies can be implemented to advance both sustainability and resilience. …”
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A Study on the Mechanical Properties and Bursting Liability of Coal-Rock Composites with Seam Partings by Dong Xu, Mingshi Gao, Yongliang He, Xin Yu

“…The experimental results were used to propose two technologies for controlling the stability of coal-rock composites to effectively ensure safe and efficient production at working faces.…”
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Neural Networks for Solving PDEs on Edge Computing Platforms: A Comprehensive Analysis by Segundo Francisco Segura Altamirano, Diana M. Castro Cardenas

“…This study evaluates neural networks as an efficient alternative, comparing 60 architectures and five optimizers on three single-board computers. …”
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ToFA: Towards Fault Analysis of GIFT and GIFT-like Ciphers Leveraging Truncated Impossible Differentials by Anup Kumar Kundu, Shibam Ghosh, Aikata Aikata, Dhiman Saha

“…Finally, this work reiterates the role of classical cryptanalysis strategies in fault vulnerability assessment by showcasing the most efficient fault attacks on GIFT. …”
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