Manufacturing cycle prediction using structural equation model toward industrial early warning system simulation: The Indonesian case by Tirta Wisnu Permana, Gatot Yudoko, Eko Agus Prasetio

“…This research effectively supports the application of PLS-SEM in forecasting the ManC in Indonesia.…”
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La fecundidad en la ciudad de Rosario, Argentina: proyecciones y retroproyecciones de la tasa global de fecundidad y las tasas específicas de fecundidad by Lucía Andreozzi, Nora Ventroni

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How does artificial intelligence shape the productivity and quality of research in business studies? A systematic literature review and future research framework by Sugandha Agarwal, Qian Long Kweh, Dima Jamali, Walton Wider, Syed Far Abid Hossain, Muhammad Ashraf Fauzi

“…While we acknowledge limitations related to data usage and the generalizability of our reviews, especially given the rapid evolution of AI technologies, we recommend that researchers effectively integrate AI into their research activities and establish ethical frameworks for its application. …”
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THE IMPACT OF THE DIGITAL REVOLUTION ON FUTURE FIGHTER PILOT TRAINING by Ilie Claudiu MICLAUS MORARESCU

“…Key innovations include virtual and augmented reality, big data analytics, an understanding of cortex development from a young age, the application of the athlete model, and a marked shift from legacy approaches to tech training methodologies. …”
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Software analysis of scientific texts: comparative study of distributed computing frameworks by Serik Altynbek, Gabit Shuitenov, Madi Muratbekov, Alibek Barlybayev

“…They support both batch and streaming data processing and guarantee processing “exactly once”. …”
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Assessing the accuracy of the recording and reporting of malaria rapid diagnostic test results in four African countries: methods and key results by Kim A. Lindblade, Arthur Mpimbaza, Corine Ngufor, William Yavo, Sunday Atobatele, Ese Akpiroroh, Abibatou Konaté-Touré, Idelphonse Ahogni, Nelson Ssewante, Bosco Agaba, Augustin Kpemasse, Jacques Agnon, Onyebuchi Okoro, Godwin Ntadom, Antoine Tanoh, Cyriaque Affoukou, Jimmy Opigo, Shawna Cooper, John J. Aponte, Kevin Griffith, Radina Soebiyanto, Michael Humes

“…This report summarizes the study’s methods, key findings, and implications for improving malaria RDT data quality. …”
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Research on floating object classification algorithm based on convolutional neural network by Jikai Yang, Zihan Li, Ziyan Gu, Wei Li

“…This is a 10.09% improvement over the traditional VGG-16 model and a 4.91% increase compared to the model without data augmentation, demonstrating the effectiveness of model improvements and data augmentation in enhancing image recognition capabilities. …”
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Universal metrics for predicting the activity of a wide range of fuel-cell catalysts by Ganesan Elumalai, Satoshi Tominaka

“…Conventional methods relying on data obtained at a fixed potential are inadequate due to variable contributions of mass transport among the different materials. …”
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Improving Classification Performance by Addressing Dataset Imbalance: A Case Study for Pest Management by Antonello Longo, Maria Rizzi, Cataldo Guaragnella

“…Imbalanced data are a non-trivial problem in deep learning. …”
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Enhanced Prediction and Evaluation of Hydraulic Concrete Compressive Strength Using Multiple Soft Computing and Metaheuristic Optimization Algorithms by Tianyu Li, Xiamin Hu, Tao Li, Jie Liao, Lidan Mei, Huiwen Tian, Jinlong Gu

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ASIP Performance Enhancement by Hazard Control through Scoreboard by Xinbing Zhou, Yi Man, Peng Hao, Wei Chen, Bo Yang, Baoguo Ding, Dake Liu

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Detection of Cisplatin Resistance in Bladder Cancer Using Machine Learning by Moditha Reddy Jagannatha Reddy, Mrudula Ranganatha, Shanthala Lakshminarayana, Jayoung Kim, Sungyong Jung, Yuze Sun, Hyusim Park

“…By analyzing large-scale genomic data, we uncover the molecular pathways driving resistance. …”
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Legal regulation of AI-assisted academic writing: challenges, frameworks, and pathways by Runyang Gao, Danghui Yu, Biao Gao, Heng Hua, Zhaoyang Hui, Jingquan Gao, Cha Yin

“…IntroductionThe widespread application of artificial intelligence in academic writing has triggered a series of pressing legal challenges.MethodsThis study systematically examines critical issues, including copyright protection, academic integrity, and comparative research methods. …”
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Waveshift Augmentation: A Physics-Driven Strategy in Fine-Grained Plant Disease Classification by Gent Imeraj, Hitoshi Iyatomi

“…However, the necessity for meticulous data segmentation by origin and the demand for extensive data collection lead to performance degradation in even state-of-the-art models. …”
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Innovative Approaches to Ensuring Cybersecurity and Public Safety: The Socio-Economic Dimension

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Understanding and Addressing Variability Through Recalibration in a Brain–Computer Interface for Intelligent Vehicle Control Using Long-Term Implanted Human Neural Data: A C... by Yicong Xiao, Spencer Kellis, Christopher. F Reiche, Florian Solzbacher

“…Even when trained on sufficient neural data, the performance of a brain-computer interface (BCI) is susceptible to error due to both systematic and random noise. …”
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A deep transfer learning model for green environment security analysis in smart city by Madhusmita Sahu, Rasmita Dash, Sambit Kumar Mishra, Mamoona Humayun, Majed Alfayad, Mohammed Assiri

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Jitter Error Correction for the HaiYang-3A Satellite Based on Multi-Source Attitude Fusion by Yanli Wang, Ronghao Zhang, Yizhang Xu, Xiangyu Zhang, Rongfan Dai, Shuying Jin

“…These issues severely influence the application value of the optical data. To achieve near real-time compensation, a novel jitter error estimation and correction method based on multi-source attitude data fusion is proposed in this paper. …”
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Estimation of econometric indicators on the basis of the regression analysis (on the example of food consumption by the population of the Arkhangelsk region) by S. A. Kochkin

“…For carrying out the statistical analysis microdata of selective examinations of budgets of the households of the Arkhangelsk region for the IV quarter of 2012 conducted by Rosstat were used. For data processing the packet of the statistical analysis of SPSS was used, and the solution of objectives was performed by methods of the correlation and regression analysis, and also by means of check of distributions of the researched quantities to a normality and the analysis of a regression residuals. …”
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Learning Materials as FAIR Digital Objects: A Shared Methodology for Training in H2IOSC by Giulia Pedonese, Francesca Fontini, Roberta Ottaviani, Federico Boschetti, Alessia Spadi, Lucia Francalanci, Alessia Scognamiglio, Pietro Restaneo, Antonina Chaban, Jana Striova, Laura Benassi

“…After describing the teaching strategy (Section 2) and the application of the Skills4EOSC FAIR-by-Design methodology to pre-existing learning materials (Section 3), the paper describes the process of designing two platforms with functionalities consistent with the requirements of learning objects, taking as an example the CLARIN course Introduction to Language Data: Standards and Repositories translated and adapted in H2IOSC (Section 4).…”
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