Zero-day exploits detection with adaptive WavePCA-Autoencoder (AWPA) adaptive hybrid exploit detection network (AHEDNet) by Ahmed A. Mohamed, Abdullah Al-Saleh, Sunil Kumar Sharma, Ghanshyam G. Tejani

“…Abstract This paper introduces a new probabilistic composite model for the detection of zero-day exploits targeting the capabilities of existing anomaly detection systems in terms of accuracy, computational time, and adaptability. …”
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Computer-aided Simulation of a Cascade Biorefinery: Case Study of the Colombian Amazon’s Hass Avocado Waste by Anibal Alviz-Meza, Stefany A. Valdez-Valdes, Angel D. Gonzalez-Delgado

“…The methodology employed involves process simulation using Aspen Plus, with NRTL models for the liquid phase and the Redlich-Kwong model for the vapor phase, to model separation and reaction stages accurately. …”
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Investigating the impact of fatty acid profiles on biodiesel lubricity using artificial intelligence techniques by Atthaphon Maneedaeng, Attasit Wiangkham, Atthaphon Ariyarit, Anupap Pumpuang, Ekarong Sukjit

“…These findings emphasize the potential of AI-driven predictive modeling as a cost-effective tool for optimizing biodiesel lubricity, reducing the need for extensive experimental trials. …”
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Workflow Design and Operational Analysis of a Coal‐Based Multi‐Energy Combined Supply System for Electricity, Heating, Cooling, and Gas by Shiwei Yu, Dedong Li, Zhongyi Zuo, Mingjie Feng

“…To identify the optimal operating parameters, the effects of coal‐water slurry concentration and oxygen‐to‐coal ratio on key gasification indicators (e.g., gasifier temperature, syngas composition, syngas calorific value, and cold gas efficiency) and system output loads (e.g., electricity, heating, cooling, and municipal gas) are systematically investigated. …”
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End-to-End Intelligent Fault Diagnosis of Transmission Bearings in Electric Vehicles Based on CNN by Yong Chen, Guangxin Li, Anhe Li, Bolin He

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Protozoa-driven micro-food webs shaping carbon and nitrogen cycling in reservoir ecosystems by Xue Wang, Jinxian Liu, Baofeng Chai, Tiehang Wu

“…These findings highlight the intricate relationship between microbial community composition, food web stability, and elemental cycling, providing critical insights for reservoir ecosystem management and water quality optimization.…”
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A brief review on factors affecting the performance of microbial fuel cell and integration of artificial intelligence by Ritesh Ojha, Jyotilagna Dash, Swati Sucharita Satpathy, Priti Chhanda Ojha, Debabrata Pradhan

“…This review uniquely summarizes key performance factors influencing MFCs, ranging from material science to microbial community dynamics, while highlighting the role of emerging tools like AI in predictive modelling and performance optimization. A comparative evaluation of AI techniques like artificial neural network, adaptive neuro-fuzzy inference systems, support vector regression, and long short-term memory and their integration into MFC operational parameters is presented. …”
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Resource Allocation in 5G Cellular IoT Systems with Early Transmissions at the Random Access Phase by Anastasia Daraseliya, Eduard Sopin, Vyacheslav Begishev, Yevgeni Koucheryavy, Konstantin Samouylov

“…To this end, the developed model captures both phases explicitly as well as different traffic composition in downlink and uplink directions. …”
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Preparation and properties of phosphor coating based on nanostructured yttrium-aluminum garnet and low-melting glass by O. V. Uretskaya, N. E. Drobyshevskaya, E. N. Poddenezhny, A. I. Kravchenko, T. N. Savkova

“…The modes of synthesis, structural and spectral-luminescent characteristics of the nanostructured powders are optimized leading to garnet of chemical composition Y3-хCeхAl5O12 (х = 0.02–0.06) with the particles size of 40–60 nm, spherical form, a specific surface of 50 m2/g. …”
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The ubiquitin-conjugating enzyme UBE2D maintains a youthful proteome and ensures protein quality control during aging by sustaining proteasome activity. by Liam C Hunt, Michelle Curley, Kudzai Nyamkondiwa, Anna Stephan, Jianqin Jiao, Kanisha Kavdia, Vishwajeeth R Pagala, Junmin Peng, Fabio Demontis

“…Here, we find that E2s have diverse roles in handling a model aggregation-prone protein (huntingtin-polyQ) in the Drosophila retina: while some E2s mediate aggregate assembly, UBE2D/effete (eff) and other E2s are required for huntingtin-polyQ degradation. …”
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Hyperspectral Imaging and Advanced Vision Transformers for Identifying Pure and Pesticide-Coated Apples by Ayesha Shafique, Mohammad Siraj, Benmao Cheng, Saif A. Alsaif, Tariq Sadad

“…This high level of accuracy underscores the model’s robustness and reliability in agricultural image analysis.…”
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Study on Mechanical Performance of ECC Reinforced by Polypropylene Fiber Mixed with Manufactured Sand and Carbon Black (CBMSPP-ECC) Based on Response Surface Method by Nixia Song, Min Song, Yunlong Zhang, Jing Wang

“…Multiobjective optimization results show that the optimal content of the three factors is 2.4%, 58.48%, and 1.09%, respectively, for the carbon black, and manufactured sand of polypropylene fiber reinforced ECC development laid a foundation.…”
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Intestinal permeability of N-acetylcysteine is driven by gut microbiota-dependent cysteine palmitoylation by Yu-Hang Zhang, Chen-Shu Dai, Ya-Jie Wang, Wen-Yu Wang, Tian-Tian Qi, Man-Cheng Xia, Gan Zhou, Yi-Min Cui

“…To further validate these microbiome features, we integrate clinical descriptors from a prospective cohort of 319 participants to optimize a 15-feature eXtreme Gradient Boosting (XGB) model, which reveal that cysteine palmitoylation by intestinal microbiota has significantly affected NAC permeability. …”
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Predicting the sport level in elite male motorcycle speedway riders based on physical profile and experience. by Stefan Szczepan, Zofia Wróblewska, Faye Perkins, Maciej Markowski, Kamil Michalik

“…The results of this study present the optimal range of physical attributes, body height, sports experience, age, and body surface area of the best motorcycle speedway riders and indicate that body height and experience are the most predictive parameters in the model to estimate the sport level of riders.…”
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Experimental Validation of Sustainable Aviation Fuel (SAF) Blending and Testing Methodologies for Small Turbofan Engine by Alex Ayedun Avwunuketa, Michael Quaicoe, Francis Ayomide Adedeji

“…The present research has established the compatibility of SAF with the existing engine systems and also the need to have a detailed kinetic model to optimize the use of fuel and reduce its environmental effects. …”
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Impact Localization System of CFRP Structure Based on EFPI Sensors by Junsong Yu, Zipeng Peng, Linghui Gan, Jun Liu, Yufang Bai, Shengpeng Wan

“…The model is trained using the training set, with its parameters optimized using the sand cat swarm optimization algorithm and validation set. …”
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Management and Operation Transformation of Urban Park Green Spaces from the Perspectives of Public Goods Provision and Fiscal Sustainability by Peiyi JIA

“…The research also raises the perspective that the sustainable financial model for park green spaces is important. Considering that the current project-based investment model for public infrastructure often creates conflicts between short-term incentives and sustainability goals, the life-cycle financial assessment framework must be taken as the foundation of the financial model. …”
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Garbage prediction using regression analysis for municipal corporations of Indian cities by Raj Kumar Sharma, Manisha Jailia

“…This research, therefore, provides a Random Forest model that is optimal for such challenges and is recommended for this class of problem.…”
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Study of the effect of bifonazole concentration on the antifungal activity of vaginal suppositories by T. V. Mielnyk, N. L. Kolycheva

“…Variance analysis of the results revealed a significant impact of bifonazole concentration on the antimycotic activity of the suppository compositions based on the model polyethylene oxide. …”
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Calibration of disk pasture meter to estimate a fire fuel load (aboveground plant biomass) for fire management in the northeastern steppe of Mongolia by Oyunsanaa Bayambasuren, Ariuntsetseg Lkhagva

“…Although we developed three linear regression models for DPM readings (100, 200, and 300) to estimate an optimal sampling effort, the model with 300 DPM models had the highest determination coefficient (0.82). …”
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