Lessons from 13 years of accelerometry measurements in five Brazilian cohorts: methodological aspects by Andrea Wendt, Giulia Salaberry Leite, Renata Contreira, Grégore Iven Mielke, Bernardo Lessa Horta, Janaína Vieira dos Santos Motta, Fernando Pires Hartwig, Fernando César Wehrmeister, Ana Maria Baptista Menezes, Helen Gonçalves, Iná S. Santos, Alicia Matijasevich, Luciana Tovo-Rodrigues, Andréa Dâmaso Bertoldi, Marlos Domingues, Renata Moraes Bielemann, Ulf Ekelund, Pedro C. Hallal, Inácio Crochemore-Silva

“…Data collection (pre-processing decisions), processing (choosing requirements to run the analysis), and post-processing decisions (data cleaning) are described in detail. …”
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Design of a Maize Sieving Machine. by Keshubi, Nice Alex

“…This project presented the design and development of a reciprocating maize sieving machine, aimed at improving the efficiency of maize processing in agricultural operations. Traditional maize sieving methods are often labor-intensive and inefficient, resulting in significant post-harvest losses. …”
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Artificial intelligence and numerical weather prediction models: A technical survey by Muhammad Waqas, Usa Wannasingha Humphries, Bunthid Chueasa, Angkool Wangwongchai

“…While AI demonstrates significant potential in post-processing NWP outputs, pre-processing remains challenging. …”
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Automatic vessel segmentation and reformation of non-contrast coronary magnetic resonance angiography using transfer learning-based three-dimensional U-net with attention mechanism by Lu Lin, Yijia Zheng, Yanyu Li, Difei Jiang, Jian Cao, Jian Wang, Yueting Xiao, Xinsheng Mao, Chao Zheng, Yining Wang

“…ABSTRACT: Background: Coronary magnetic resonance angiography (CMRA) presents distinct advantages, but its reliance on manual image post-processing is labor-intensive and requires specialized knowledge. …”
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Applications of UAV Technologies in Assessment of Transportation Infrastructure Systems by Ahmad Akib Uz Zaman, Ahmed Abdelaty, Mohamed S. Yamany

“…Furthermore, integrating various data-collecting sensors enhances the versatility of UAVs, enabling the acquisition of diverse data types to support comprehensive infrastructure evaluations. Numerous post-processing software applications utilizing various structure-from-motion (SfM) techniques have been developed, significantly facilitating the assessment process. …”
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AFQSeg: An Adaptive Feature Quantization Network for Instance-Level Surface Crack Segmentation by Shaoliang Fang, Lu Lu, Zhu Lin, Zhanyu Yang, Shaosheng Wang

“…The adaptive crack feature quantization module enhances the contrast between cracks and background features and strengthens the model’s focus on critical regions through spatial feature fusion. The trainable crack post-processing module incorporates edge-guided post-processing algorithms to correct false predictions and refine segmentation results. …”
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High sensitivity in spontaneous intracranial hemorrhage detection from emergency head CT scans using ensemble-learning approach by Juuso Takala, Heikki Peura, Riku Pirinen, Katri Väätäinen, Sergei Terjajev, Ziyuan Lin, Rahul Raj, Miikka Korja

“…A metamodel was trained on top of the four base CNNs, and simple post processing steps were applied to improve the solution’s accuracy. …”
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Machine-learning-based probabilistic forecasting of solar irradiance in Chile by S. Baran, J. C. Marín, J. C. Marín, O. Cuevas, O. Cuevas, M. Díaz, M. Szabó, O. Nicolis, M. Lakatos

“…Furthermore, we also propose a neural-network-based post-processing method, resulting in improved eight-member ensemble predictions. …”
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An Optimized Dynamic Scene Change Detection Algorithm for H.264/AVC Encoded Video Sequences by Giorgio Rascioni, Susanna Spinsante, Ennio Gambi

“…Scene change detection plays an important role in a number of video applications, including video indexing, semantic features extraction, and, in general, pre- and post-processing operations. This paper deals with the design and performance evaluation of a dynamic scene change detector optimized for H.264/AVC encoded video sequences. …”
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Machine learning message-passing for the scalable decoding of QLDPC codes by Arshpreet Singh Maan, Alexandru Paler

“…In general, Quantum Low Density Parity Check (QLDPC) decoding is based on Belief Propagation (BP, a variant of message-passing) and requires time intensive post-processing methods such as Ordered Statistics Decoding (OSD). …”
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The Effectiveness of Fork-Mashable Dishes in Managing Older Patients with Mastication and Swallowing Impairments by Kovan Ismael-Mohammed, Mireia Bolivar-Prados, Laura Laguna, Adrian Nuñez Lara, Marta Cera, Paula Viñas, Pere Clavé

“…Materials and Methods: Twenty patients (85 ± 4.51 years) consumed six 30 g dishes. Oral processing was analyzed using surface electromyography (EMG), texture was measured pre- and post-oral processing, and swallowing safety was assessed using the volume–viscosity swallowing test (V-VST). …”
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Machine translation and Welsh: Analysing free statistical machine translation for the professional translation of an under-researched language pair by Ben Screen

“…Results show no statistical difference between post-editing and translation in terms of processing time. …”
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A Machine Vision Approach for Grain Quality Control During Separation by Serhii Stepanenko, Alvian Kuzmych, Serhii Kharchenko, Boris Andrey, Viktor Dnes, Daryna Volyk, Roman Kalinichenko

“…The developed method helps create control and automation systems for post-harvest processing of grain materials.…”
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Real-Time Regional Ionospheric Total Electron Content Modeling Using the Extended Kalman Filter by Jun Tang, Yuhan Gao, Heng Liu, Mingxian Hu, Chaoqian Xu, Liang Zhang

“…REIM demonstrated high consistencies with post-processing models and showed a higher accuracy at IPPs of BDS GEO satellites. …”
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Machine Learning-Based Multi-Objective Optimization for Enhancing the Performance of Block Support Structures for Electron Beam Additive Manufacturing by Mustafa M. Nasr, Wadea Ameen, Abdulmajeed Dabwan, Abdulrahman Al-Ahmari

“…Finally, the developed intelligent method obtains the optimal block support type, block support design, and EBM parameters to enhance the quality of produced parts, reduce material wastage, and reduce the post-processing time of fabricated EBM Ti6Al4V. Henceforth, smart systems may be employed to create innovative solutions that integrate the AM design, 3D printing, and post-processing stages. …”
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Error-driven upregulation of memory representations by Alexander Weuthen, Hans Kirschner, Markus Ullsperger

“…However, the neurophysiological mechanisms that facilitate post-error learning remain poorly understood. To address this gap, participants performed a feedback-based association learning task and a 1-back localizer task. …”
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Computing the Dirichlet-to-Neumann map via an integral equation with the adjoint generalized Neumann kernel by Samir Naqos, Ali H.M. Murid, Mohamed M.S. Nasser, Su Hoe Yeak

“…Contrary to the classical approach which requires numerical differentiation in a post-processing step, our method allows computing the Dirichlet-to-Neumann map directly without the need of numerical differentiation in post-processing. …”
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Statistical Testing of Random Number Generators and Their Improvement Using Randomness Extraction by Cameron Foreman, Richie Yeung, Florian J. Curchod

“…Next, we apply the different post-processing methods to each RNG and conduct further intensive testing on the processed output. …”
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An Axial-Oriented Dual-Layer Indexing Structure for Tunnel Point Clouds by Hongyang Zhang, Qigui Yang, Quan Liu, Yinlong Jin, Gang Ma, Xin Meng

“…However, existing studies often disconnect tunnel point cloud indexing from post-processing tasks. Conventional structures (e.g., voxels, octrees) struggle with long strip-like uneven spatial distribution, resulting in imbalanced trees with numerous empty nodes, which are incompatible with axis-aligned operations. …”
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The microstructure and mechanical properties of nitinol manufactured by LPBF: differences between Ni-rich and Ti-rich compositions by Muzi Li, Oscar Contreras-Almengor, Jesús Ordoño, Carlos Aguilar Vega, Rodrigo Zapata Martínez, M. Echeverry-Rendón, Andrés Díaz-Lantada, Jon Molina-Aldareguia

“…In this work, Ti-rich and Ni-rich nitinol parts have been additively manufactured by LPBF on Ti substrates to study their microstructure and mechanical response and their corresponding shape memory and superelastic effects. Various processing parameters were studied, including the use of post-printing heat treatments. …”
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