Enhanced photovoltaic efficiency through 3D-Printed COC/Al₂O₃ anti-reflective coversheets by Naif Almakayeel, Gobinath Velu Kaliyannan, Raja Gunasekaran, Rajasekar Rathanasamy

“…An optical loss is a crucial factor that impacts the performance of the photovoltaic conversion process. This loss occurs when incoming sunlight is reflected back on the outer layer of the photovoltaic cells. …”
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Marine organic aerosol at Mace Head: effects from phytoplankton and source region variability by E. Chevassus, K. N. Fossum, D. Ceburnis, L. Lei, C. Lin, C. Lin, W. Xu, W. Xu, C. O'Dowd, J. Ovadnevaite

“…Four OA factors were deconvolved by the source apportionment model. The analysis revealed primary marine organic aerosol (PMOA) as the predominant submicron OA at Mace Head during summertime, accounting for 42 % of the total resolved mass. …”
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Numerical study on the influence of installation effect on laterally loaded piles in sand by SU Dong, WU Zexiong, LEI Guoping, WANG Shun

“…In order to study the influence of the installation effect caused by pile penetration into a sand foundation on the pile horizontal bearing capacity, we establish a numerical model to simulate the penetration process and the horizontal loading process of the pile and analyze the response of pile. …”
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Additive Attention for Vetting Transiting Exoplanet Candidates by Àlvar Hernàndez-Carnerero, Miquel Sànchez-Marrè, Juan Carlos Morales

“…Through extensive experimentation, we demonstrate the efficacy of our final model, which integrates CNN, LSTM, and additive attention layers, coupled with feed-forward neural networks, achieving competitive performance with limited model complexity. …”
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Optimizing cervical cancer diagnosis with accurate cell classification using modified HDFF by Pooja Patre, Dipti Verma

“…By enhancing the feature extraction process and combining multiple layers of deep learning models, the Modified HDFF method improves classification performance across various tasks, ranging from binary to multi-class problems. …”
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Diagnosis and classification of neuromuscular disorders using Bi-LSTM optimized with grey Wolf optimizer for EMG signals by Ruth Keziah Mani, Balakrishnan Nagaraj

“…However, the performance of these models is heavily influenced by hyperparameters such as the number of neurons, hidden layers, and learning rates. …”
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Comparison of the Torsional Strength of Material Samples Made Using Selected Rapid Prototyping Methods by Mariusz DĘBSKI (m.debski@prz.edu.pl), Bogdan KOZIK (bogkozik@prz.edu.pl), Łukasz PRZESZŁOWSKI (lprzeszl@prz.edu.pl), Jadwiga PISULA (jpisula@prz.edu.pl)

“…The research results show that producing rotating elements using the hybrid technology reduces the sample core’s ability to undergo plastic deformation due to the adhesion between the materials and the occurrence of notches resulting from the model production process using the layered extrusion method.…”
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Geometric Structures in Textile Design Made with 3D Printing by Cihat Okan Arikan, Samet Doğan, Deja Muck

“…In the production phase, the fused deposition modelling (FDM) process was chosen, and ABS and TPU materials were used. …”
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Deep-ER: Deep Learning ECCENTRIC Reconstruction for fast high-resolution neurometabolic imaging by Paul J. Weiser, Georg Langs, Wolfgang Bogner, Stanislav Motyka, Bernhard Strasser, Polina Golland, Nalini Singh, Jorg Dietrich, Erik Uhlmann, Tracy Batchelor, Daniel Cahill, Malte Hoffmann, Antoine Klauser, Ovidiu C. Andronesi

“…Here, we present a robust and efficient Deep Learning reconstruction embedded in a physical model within an end-to-end automated processing pipeline to obtain high-quality metabolic maps. …”
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Joint neural denoising and consolidation for portable handheld laser scan by T. Zhang, S. Filin

“…These characteristics challenge such applications as feature extraction and 3D modeling when processing the raw pointset. To date, point cloud denoising and consolidation (address of distribution and void regions) have been treated independently despite their complementary nature and their mutual dependence on the underlying surface representation. …”
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Cooperative Behavior of Prosumers in Integrated Energy Systems by Natalia Aizenberg, Evgeny Barakhtenko, Gleb Mayorov

“…We present a mathematical statement of the problem of optimal interactions between the centralized system and prosumers in the integrated energy system (IES) with due consideration of the layered architecture of the IES. The paper also contributes a model for arranging the interactions between centralized and distributed energy sources for cases when IES prosumers form coalitions. …”
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Volumetric osteoconchoplasty method by B. M. Zargaryan, S. D. Litvinov

“…The question of how to predict in the long-term postoperative period the normal size of the modeled IT, apparently, is currently not answered even by highly qualified rhinosurgeons. …”
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A New Efficient Classifier for Bird Classification Based on Transfer Learning by Lesia Mochurad, Stanislav Svystovych

“…A dataset of 525 bird species was analyzed and preprocessed in detail. The model training process was carried out, which includes two phases: only the upper layers are deactivated and the last 92 layers of the pretrained EfficientNetB5 model (not including BatchNormalization layers) and the top layers are activated. …”
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A data driven framework for optimizing droplet microfluidics with residual block and Fourier enhanced networks by Alireza Samari, Kamal Jannati, Azadeh Jafari

“…However, traditional design approaches rely heavily on complex physical models or labor-intensive trial-and-error processes, making them time-consuming and expensive. …”
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Advanced device for measuring linear and angular components of small displacements of monitor object surfaces by Igor P. Miroshnichenko

“…Areas of application are the following: experimental research; assessment and diagnostics of the structural materials samples; investigations of fast wave processes in the layered structures of complex shape made of the anisotropic composite materials. …”
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Explainable Machine Learning in Critical Decision Systems: Ensuring Safe Application and Correctness by Julius Wiggerthale, Christoph Reich

“…This need for reliability contrasts with the black-box nature of many ML models, making it difficult to ensure that they always behave as intended. …”
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A Novel Numerical Method for Calculating Vertical Bearing Capacity of Prestressed Pipe Piles by Rongbao Chen, Jichao Zhang, Zeyu Chen, Meixiang Gu

“…Soils at the pile side and end were, respectively, simulated by an elastic-plastic model and a new double-line (at soft rock and soil layers) or triple-line model (at hard rock and soil layers); then, a mechanical model was established for simulating vertical bearing capacity of prestressed pipe piles, and the corresponding calculation process was carried out. …”
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Mixture-of-experts graph transformers for interpretable particle collision detection by Donatella Genovese, Alessandro Sgroi, Alessio Devoto, Samuel Valentine, Lennox Wood, Cristiano Sebastiani, Simone Scardapane, Monica D’Onofrio, Stefano Giagu

“…However, while Graph Neural Networks excel in predictive accuracy, their “black box” nature often limits their explainability, making it difficult to trust their decision-making processes. In this paper, we propose a novel approach that combines a Graph Transformer model with Mixture-of-Expert layers to achieve high predictive performance while embedding explainability into the architecture. …”
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RUL Prediction of Rolling Bearings Based on Fruit Fly Optimization Algorithm Optimized CNN-LSTM Neural Network by Jiaping Shen, Haiting Zhou, Muda Jin, Zhongping Jin, Qiang Wang, Yanchun Mu, Zhiming Hong

“…In addition, introducing FOA enables the model to dynamically adjust the hidden layers and thresholds while optimizing the optimal path, thereby finding the best solution. …”
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Preparation of Magnetic Photocatalyst Fe₃O₄@SiO₂@Fe-TiO₂ and Photocatalytic Degradation Performance of Methyl Orange in Na₂SO... by Li Sun, Zilong Li, Zhigang Yuan, Ying Liu, Shunqi Mei, Fanhe Meng, Xingyu Ouyang, Yi Xiong, Ke Zhang, Zhen Chen

“…Kinetic analysis of the photocatalytic data, based on a first-order model, was conducted to explore the underlying degradation principles.…”
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