Using a deterministic matching computer routine to identify hospital episodes in a Brazilian de-identified administrative database for the analysis of obstetrics hospitalisations by Claudia Medina Coeli, Rosa Maria Soares Madeira Domingues, Lana Meijinhos, Daniela Medina Coeli Bastos, Rejane Sobrino Pinheiro, Valeria Saraceni, Marcos Augusto Bastos Dias, Natália Santana Paiva, Kenneth Camargo Jr

“…Objectives This study aims to evaluate the information gain by using a computer routine to identify acute Obstetrics hospital episodes and its impact on assessing marks of case severity. …”
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Automatic identification of hard and soft tissue landmarks in cone-beam computed tomography via deep learning with diversity datasets: a methodological study by Yan Jiang, Canyang Jiang, Bin Shi, You Wu, Shuli Xing, Hao Liang, Jianping Huang, Xiaohong Huang, Li Huang, Lisong Lin

“…Abstract Background Manual landmark detection in cone beam computed tomography (CBCT) for evaluating craniofacial structures relies on medical expertise and is time-consuming. …”
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Closing the gap in the clinical adoption of computational pathology: a standardized, open-source framework to integrate deep-learning models into the laboratory information system by Miriam Angeloni, Davide Rizzi, Simon Schoen, Alessandro Caputo, Francesco Merolla, Arndt Hartmann, Fulvia Ferrazzi, Filippo Fraggetta

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CEREBRAL ARTERY FENESTRATIONS: INCIDENCE, ASSOCIATION WITH CEREBRAL ARTERIAL ANEURYSMS AND OTHER VASCULAR DISEASES ACCORDING TO THE DATA OF MULTISLICE SPIRAL COMPUTED TOMOGRAPHY AN... by M. Yu. Kalmykov

“…Postprocessor data processing was made to detect extra- and intracranial artery fenestrations. …”
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Sparse Convolution FPGA Accelerator Based on Multi-Bank Hash Selection by Jia Xu, Han Pu, Dong Wang

“…This circuit is designed to detect and eliminate the computational effort associated with zero values in the sparse convolutional kernels, thereby enhancing energy efficiency. (2) The data access patterns in convolutional neural networks introduce significant pressure on the high-latency off-chip memory access process. …”
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Economic Model Predictive Control for Wastewater Treatment Processes Based on Global Maximum Error POD-TPWL by Zhiyu Wang, Jing Zeng, Jinfeng Liu

“…These advancements underscore the method’s potential for real-time implementation in complex industrial systems, balancing computational efficiency with control precision. Additionally, the framework’s modular design enables integration with existing optimization techniques to further reduce computational complexity without compromising effluent quality compliance.…”
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OPTIMIZING THE PROCESS OF PICK-UP AND DELIVERY WITH TIME WINDOWS USING ANT COLONY AND TABU SEARCH ALGORITHMS by Imas Saumi Amalia, Toni Bakhtiar, Jaharuddin Jaharuddin

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Context-Adaptable Deployment of FastSLAM 2.0 on Graphic Processing Unit with Unknown Data Association by Jessica Giovagnola, Manuel Pegalajar Cuéllar, Diego Pedro Morales Santos

“…The parallelization process involves identifying the parameters affecting the computational complexity in order to distribute the computation among single multiprocessors as efficiently as possible. …”
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VPRQ: Efficient verifiable privacy-preserving range query processing in two-tiered wireless sensor networks by Hua Dai, Qingqun Ye, Xun Yi, Ruiliang He, Geng Yang, Jinji Pan

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Spatiotemporal Downscaling Model for Solar Irradiance Forecast Using Nearest-Neighbor Random Forest and Gaussian Process by Shadrack T. Asiedu, Abhilasha Suvedi, Zongjie Wang, Hossein Moradi Rekabdarkolaee, Timothy M. Hansen

“…Additionally, the computational speed of NNRF was 2.5 times faster than the NNGP. …”
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ON THE WAYS OF USING OF THE METHODS OF PROCESSING OF MICROSTRUCTURES IMAGES FOR SOLVING OF PROBLEMS ON REVEALING OF INTERRELATIONS OF TYPE «MICROSTRUCTURE - PROPERTIES» by A. N. Chichko, O. A. Sachok, V. F. Sobolev, S. G. Lihouzov, O. I. Chichko, A. V. Vedeneev

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Assembly of Fine-Pitch Package Integrated Circuits in a Laminated Transfer Process for E-Textile Applications by Yi Li, Thomas Greig, Abiodun Komolafe, Russel Torah, Steve Beeby

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A new open dataset from a milling process – data for classification and estimation of tool life by Grzegorz Piecuch, Tomasz Żabiński

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Handover challenges in disaggregated open RAN for LEO Satellites: tradeoff between handover delay and onboard processing by Siva Satya Sri Ganesh Seeram, Luca Feltrin, Mustafa Ozger, Mustafa Ozger, Shuai Zhang, Cicek Cavdar

“…Our findings reveal that transitioning from a transparent architecture to Split 7.2× does not reduce CHO delay despite the introduction of additional onboard processing. The gNB onboard the satellite minimizes cumulative CHO delay but demands 55%–70% more computational resources than the Split 7.2× architecture. …”
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Next Generation Human Action Recognition: A Comprehensive Review of State-of-the-Art Signal Processing Techniques by Misha Karim, Shah Khalid, Sungyoung Lee, Sulaiman Almutairi, Abdallah Namoun, Mohammed Abohashrh

“…Human Action Recognition is a rapidly evolving field at the intersection of computational intelligence, signal processing, and machine learning, driving innovations in healthcare, fitness, surveillance, and smart environments. …”
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Using Interactive Whiteboards (IWB) in the English Classroom as Supporting Technology in the Teaching and Learning Process: Opportunities and Challenges by Tira Nur Fitria

“…IWB technology consists of a digital board, computer, and projector, which can be linked to a personal computer for easy use. …”
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Airline reviews processing: Abstractive summarization and rating-based sentiment classification using deep transfer learning by Ayesha Ayub Syed, Ford Lumban Gaol, Alfred Boediman, Widodo Budiharto

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Advances in HVDC Systems: Aspects, Principles, and a Comprehensive Review of Signal Processing Techniques for Fault Detection by Leyla Zafari, Yuan Liu, Abhisek Ukil, Nirmal-Kumar C. Nair

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Guest Editorial: Special Issue on Orthogonal Time Frequency Space Modulation and Delay-Doppler Signal Processing by Qin Tao, Shuangyang Li, Weijie Yuan, Slawomir Stanczak, Emanuele Viterbo, Xianbin Wang

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The temporal structure of multiple visuomotor processes in baseball batting: insights from a virtual reality system by Naoki Saijo, Takehiro Fukuda, Makio Kashino

“…Baseball batting is an inherently complex visuomotor task that requires the rapid processing of multiple cognitive-motor computations within a split second. …”
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