Python-based deep learning for optimizing thermal performance of Prandtl-Eyring hybrid nanofluids in solar systems by Nidhal Ben Khedher, Bouthaina Dammak, Zahoor Shah, Hamza Iqbal, Maryam Jawaid, Hafedh Mahmoud Zayani, Mohamed Medani

“…The framework and methodology here presented are important and innovative for optimizing solar water pump systems for off-grid agricultural irrigation applications and clean energy distribution.…”
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Multiphysics modeling and validation of a microwave applicator with a three-stub tuner for the continuous flow pasteurization of fruit juices with low reflection by Guilherme Russo, Jorge A. W. Gut, Jorge A. W. Gut, Dorin Boldor

“…The model demonstrated an overall prediction error of 1.6 ± 1.3°C for the outlet temperature of orange juice, while errors for mango purée and mango juice ranged between 1.8 and 5.5°C. …”
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Dual-Frequency Multi-Constellation Global Navigation Satellite System/Inertial Measurements Unit Tight Hybridization for Urban Air Mobility Applications by Gianluca Corraro, Federico Corraro, Andrea Flora, Giovanni Cuciniello, Luca Garbarino, Roberto Senatore

“…In this framework, in this paper, the algorithms of a hybrid navigation unit (HNU) for UAM applications are detailed, implementing a tightly coupled sensor fusion between a dual-frequency multi-constellation GNSS receiver, an inertial measurements unit and the barometric altitude from an air data computer. …”
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The Role of Virtual and Augmented Reality in Industrial Design: A Case Study of Usability Assessment by Amanda Martín-Mariscal, Carmen Torres-Leal, Teresa Aguilar-Planet, Estela Peralta

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A decision support system for herd health management for dairy farms by Jan Saro, Tomáš Šubrt, Helena Brožová, Robert Hlavatý, Jan Rydval, Jaromír Ducháček, Luděk Stádník

“…To bridge this gap, we have developed a web application of a Decision support system (DSS) for dairy health management based on machine learning. …”
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FSO Communication: Benefits, Challenges and Its Analysis in DWDM Communication System by Muhammad Faisal Nadeem Khan, Haleema Khalil, Farhan Qamar, Mudassar Ali, Romana Shahzadi, Nouman Qamar

“…In this research article, benefits, challenges, applications and role of FSO is discussed in detail for evolving networks. …”
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Study of Effect of Linear Tip Relief Modification in Power Transmission Efficiency of Spur Gears by Narendiranath Babu THAMBA, Abhijeet Mukund TAMBARE, Krishna Caitanya ANANTHANARAYANAN, Rama Prabha DURAISWAMY, Shankar THANGAVELU, Raj Kumar EASWARA PILLAI, Ramalinga Viswanathan MANGALARAJA

“…This paper explores the influence of linear gear tip relief modification on power transmission efficiency. In real time applications gears experience transmission error (TE) during operation which increases noise and vibration and also results in increased tooth profile deformation during operation of the gear. …”
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A Comprehensive Study of Nonlinear Mixed Integro-Differential Equations of the Third Kind for Initial Value Problems: Existence, Uniqueness and Numerical Solutions by Ahmed S. Rahby, Sameh S. Askar, Ahmad M. Alshamrani, Gamal A. Mosa

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Concurrent photocatalytic degradation of organic pollutants using smart magnetically cellulose-based metal organic framework nanocomposite by Nora A El-Mahdy, Sayed RH El-Gharkawy, Magda A Akl

“…These findings suggest that the MOF: DAC@PdA@FM nanocomposite is a promising applicant for wastewater treatment applications. The catalytic degradation mechanism for dyes on the prepared MOF:DAC@PdA@FM nanocomposite involves various interactions, including electrostatic attraction, pore-filling, π–π stacking, and hydrogen bonding. …”
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Universal Metrics to Characterize the Performance of Imaging 3-D Measurement Systems With a Focus on Static Indoor Scenes by Bastian Stahl, Alexandra Mielke, Robert Lange

“…Finally, we demonstrate the applicability of our methodology by evaluating seven state-of-the-art 3-D systems.…”
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EEG Peak Detection in Cognitive Conflict Processing Using Summit Navigator and Clustering-Based Ranking by Tran Hiep Dinh, Avinash Kumar Singh, Nguyen Linh Trung, Diep N. Nguyen, Chin-Teng Lin

“…This paper proposes a novel and non-parametric approach to detect prediction error negativity (PEN) in cognitive conflict processing. …”
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Quality Evaluation of Sizeable Surveying-Industry-Produced Terrestrial Laser Scanning Point Clouds That Facilitate Building Information Modeling—A Case Study of Seven Point Clouds... by Sander Varbla, Raido Puust, Artu Ellmann

“…Potentially hidden from visual inspection, such systematic errors can cause misalignments between point cloud portions in the compound point cloud structure, which could be detrimental to further applications of the point clouds. …”
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Design of Computer Numerical Control System for Fiber Placement Machine Based on Siemens 840D sl by Kun Xia, Di Zhao, Qingqing Yuan, Jingxia Wang, Aodong Shen

“…This research provides a technical framework for the design of multi-axis cooperative control systems and thermal error compensation in automated fiber placement equipment, offering critical insights for advancing manufacturing technologies in aerospace composite applications. …”
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One step hydrothermal synthesis of magnetically separable rGO supported Fe₃O₄ and Ag nanoparticles for adsorption and reduction of organic pollutants by Eman F. Aboelfetoh

“…The nanocomposite exhibited high adsorption efficiency toward methyl violet 2B (MV), with performance evaluated across varying dye concentrations, pH, temperature, and adsorbent dosages. Statistical error analysis (reduced χ2, RMSE, SSE) validated the applicability of a pseudo-second-order kinetics. …”
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Deep Learning to Estimate Model Biases in an Operational NWP Assimilation System by Patrick Laloyaux, Thorsten Kurth, Peter Dominik Dueben, David Hall

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Zone-Wise Uncertainty Propagation and Dimensional Stability Assessment in CNC-Turned Components Using Manual and Automated Metrology Systems by Mohammad S. Alsoufi, Saleh A. Bawazeer, Mohammed W. Alhazmi, Hani Alhazmi, Hasan H. Hijji

“…Root-sum-square (RSS) modeling confirmed that manual measurements are more prone to operator-induced error amplification. While the DVC sometimes recorded lower absolute errors, its substantial uncertainty margins hampered measurement reliability. …”
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Enhancing the prediction of irrigation demand for open field vegetable crops in Germany through neural networks, transfer learning, and ensemble models by Samantha Rubo, Jana Zinkernagel

“…The ensemble model minimized cumulative errors and provided stable results by averaging the outputs of all models. …”
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An Autoencoder-Based Task-Oriented Semantic Communication System for M2M Communication by Prabhath Samarathunga, Hossein Rezaei, Maheshi Lokumarambage, Thushan Sivalingam, Nandana Rajatheva, Anil Fernando

“…In this paper, we propose an autoencoder-based SC system for transmitting images between two machines over error-prone channels to support emerging applications such as VIoT, XR, M2M, and M2H communications. …”
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Diagnosis by SAM Linked to Machine Vision Systems in Olive Pitting Machines by Luis Villanueva Gandul, Antonio Madueño-Luna, José Miguel Madueño-Luna, Miguel Calixto López-Gordillo, Manuel Jesús González-Ortega

“…Recent advancements in Artificial Neural Networks (ANNs) have revolutionized CV applications, enabling systems to autonomously learn and optimize tasks. …”
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Solar PV focused LFC studies utilizing an SFS-optimized PID with fractional derivative (PIDDμ), and incorporating BESS and FESS applications by S.B. Masikana, Gulshan Sharma, Sachin Sharma, Pitshou N. Bokoro, Emre Çelik

“…To assess the effectiveness of the proposed approach, three error metrics—Integral Time Absolute Error (ITAE), Integral Time Multiplied Square Error (ITSE), and Integral of Absolute Error (IAE)—are evaluated. …”
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