Heat transfer performance of CuCrZr/AlSi7Mg multi-material heat sinks with triply periodic minimal surface manufactured by laser powder bed fusion by Chang Liu, Yuchao Bai, Jie Chen, Guijun Bi, Mingkang Zhang, Di Wang, Mingjian Deng

“…An infrared imaging camera was applied to obtain the thermal performance parameters, and the conjugate heat transfer model was combined with computational fluid dynamics to analyse the heat dissipation mechanism. …”
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Mathematical Analysis of Inclusion Removal from Liquid Steel by Gas Bubbling in a Casting Tundish by H. Arcos-Gutierrez, J. de J. Barreto, S. Garcia-Hernandez, A. Ramos-Banderas

“…Consequently, it is imperative to consider the summation of both removal mechanisms to compute a better approximation of this important operation.…”
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PHENOTYPIC VARIABILITY EVALUATION OF WHEAT VARIETIES FROM THE SUCEAVA GENE BANK COLLECTION by Tiberiu Emilian SÂRBU, Iulian GABUR, Dănuț Petru SIMIONIUC, Daniela Domnica PLĂCINTĂ, Danela MURARIU, Violeta SIMIONIUC

“…Initially, the data underwent meticulous processing involving the computation of amplitude of variation, variance (s2), standard deviation (√s), and coefficients of variation (s%) for three pivotal agronomical traits: plant height, spikelets per spike, and total seeds per spike. …”
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Affordable Road Obstacle Detection and Active Suspension Control Using Inertial and Motion Sensors by Andrew Valdivieso-Soto, Gennaro Sorrentino, Giulia Moscone, Renato Galluzzi, Nicola Amati

“…The proposed technique is also affordable from the computational point of view, thus enabling its use in common microprocessors tailored for the automotive field. …”
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Modern possibilities for diagnosing and tumor clone monitoring, determined by multicolor flow cytometry, in Waldenstrom’s macroglobulinemia by A. B. Loginova, I. V. Galtseva, A. E. Grachev, K. A. Nikiforova, N. M. Kapranov, Yu. A. Tsoy, E. E. Zvonkov

“…WM diagnosis is a complex process, which is due to both the heterogeneity of tumor populations and similarity to other B-cell lymphomas. …”
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TIM-FEM-ML synthetic technology for longitudinal optimization of tunnel excavated in the interlayered rock mass by Hui Li, Weizhong Chen, Xiaoyun Shu, Xianjun Tan, Qun Sui

“…Python codes are programmed to realize automatic processing of numerical simulation and results are extracted to the ML algorithm for the prediction model. …”
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The Architecture and Key Technologies of Fault Inversion System for Hybrid UHV AC/DC Power Grid by Bing WANG, Yupei JIA, Jianfeng YAN, Yiding JIN

“…Besides, this model shortens fault inversion time from 2 to 3 weeks to a few seconds, as a result, greatly improving the working efficiency of the computation staff and meeting the requirements of timeliness and accuracy of fault inversion calculation. …”
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Brazilian research on noninvasive brain stimulation applied to health conditions by Katia Nunes Sá, Gabriel Venas, Mayara Pinheiro de Souza, Daniel Ciampi de Andrade, Abrahão Fontes Baptista

“…These studies involve experimental animal and human models to account for mechanisms, observational studies, case reports, randomized clinical trials, systematic reviews, meta-analyses, product and process development, computer modeling and guidelines. …”
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Leveraging time-based spectral data from UAV imagery for enhanced detection of broomrape in sunflower by Guy Atsmon, Anna Brook, Tom Avikasis Cohen, Fadi Kizel, Hanan Eizenberg, Ran Nisim Lati

“…Over four imaging campaigns conducted during early subsoil parasitic stages, multispectral data were collected and processed to compute ten VIs. These VIs, reflecting changes in canopy reflectance over time, were then analyzed using various machine learning models, including a pattern recognition neural network (PRNN). …”
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Microstructure Formation and Dry Reciprocating Sliding Wear Response of High-Entropy Hypereutectic White Cast Irons by Willian Martins Pasini, Wojciech Polkowski, Tomasz Dudziak, Carlos Alexandre dos Santos, Vinicius Karlinski de Barcellos

“…The research investigates the solidification process of the alloys using Computer-Aided Cooling Curve Analysis (CA-CCA) and characterizes the microstructures through X-ray diffraction (XRD) and scanning electron microscopy (SEM). …”
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Community Mobilisation for Human Sample Collection in Sensitive Communities: Experiences from Granular Mapping of Schistosomiasis and Soil-Transmitted Helminths in Ekiti State, Sou... by Temitope Agbana, Omolade Omotade, Moses Aderogba, David Bell, Jacob Solomon, Saheed Animashaun, Peace Alabi, Oladimeji Ajayi, Adebowale Akinwumi, Samuel Popoola, Alex Bunda, Jan-Carel Diehl, Gleb Vdovine, Louise Makau-Barasa

“…Community mobilisation is a vital process for raising awareness and increasing participation in healthcare interventions, research, and programmes that require human sample collection and mass management. …”
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Remaining Useful Life Estimation of Used Li-Ion Cells With Deep Learning Algorithms Without First Life Information by I. Sanz-Gorrachategui, Y. Wang, A. Guillen-Asensio, A. Bono-Nuez, B. Martin-del-Brio, P. V. Orlik, P. Pastor-Flores

“…These features are automatically processed by deep learning algorithms, including Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) networks. …”
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Variational Autoencoders-Based Algorithm for Multi-Criteria Recommendation Systems by Salam Fraihat, Qusai Shambour, Mohammed Azmi Al-Betar, Sharif Naser Makhadmeh

“…Deep learning (DL) models demonstrated outstanding performance across different domains: computer vision, natural language processing, image analysis, pattern recognition, and recommender systems. …”
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Cellular automaton modeling of the local corrosion of ZrO2-C refractories at slag/metal interfaces by Shigefumi Matsumoto, Katsumi Morikawa, Koji Goda, Kiyoshi Goto, Hiroyuki Fukuyama

“…Findings support optimization of refractory design and process parameters.…”
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Development of an electromechanical handbike prototype attachable to conventional wheelchairs by Sergio A. Ardila Gómez, Deisy Y. Rodríguez Sarmiento, Jhon J. Quiñones, Álvaro J. Romero Herrera, Daniel A. Vargas Rivera

“…Using the V-model methodology for mechatronic systems, the design process included functional specification, Computer-Aided Design (CAD) modeling, structural simulation, and physical prototyping. …”
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Influence of surface roughness of thermal barrier coating on the cooling performance of a film-cooled turbine vane by Xiaoyu Song, Feng Liu, Yan Yan, Wen Wang, Yaning Wang, Wei Sun, Jiahuan Cui

“…Utilizing the method of conjugate heat transfer (CHT) and Computational Fluid Dynamics (CFD), we employed the SST k-ω two-equation turbulence model to conduct numerical simulations of the film cooling process. …”
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Robust modified passive islanding detection for microgrids using mathematical morphology based dual algorithm by Fayez F. M. El-Sousy, Nauman Ali Larik, Wei Lue, Sulaiman Z. Almutairi, Mohammed H. Alqahtani, Saleh Mobayen

“…Then, the MMF is utilized to process the estimated voltage to compute the voltage residuals index (VRI). …”
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Learning High-Order Features for Fine-Grained Visual Categorization with Causal Inference by Yuhang Zhang, Yuan Wan, Jiahui Hao, Zaili Yang, Huanhuan Li

“…Recently, causal models have gained significant attention in natural language processing (NLP) and computer vision (CV) due to their capability of capturing features with causal relationships. …”
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Optimum Design of a Photovoltaic Inverter System Based on Ga, Pso and Gwo Algorithms with a Mppt Sliding Mode Control by Alberto Coronado-Mendoza, Mónica Camas-Náfate, Jesús Sergio Artal-Sevil, José Antonio Domínguez-Navarro

“…In this study, four performance indices are proposed to evaluate the efficiency and energy quality of photovoltaic systems quantitatively. The entire process is analyzed, encompassing solar energy capture, DC-DC and DC-AC conversion, and filtering, to deliver maximum energy and quality to the load. …”
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A multi layered encryption framework using intuitionistic fuzzy graphs and graph theoretic domination for secure communication networks by A. Meenakshi, S. Dhanushiya, Leo Mrsic, Antonios Kalampakas, Sovan Samanta

“…The comparative analysis shows the proposed approach to be superior compared to RSA, AES, ECC, and Blowfish due to its increased security, computational efficiency, and resilience to attacks. …”
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