Machine-Learning Methods Estimating Flights’ Hidden Parameters for the Prediction of KPIs by George Vouros, Ioannis Ioannidis, Georgios Santipantakis, Theodore Tranos, Konstantinos Blekas, Marc Melgosa, Xavier Prats

“…Complex microscopic simulation models of strategic Air Traffic Management (ATM) performance assessment and decision-making are hindered by several factors. …”
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An Evaluation of the Sensitivity of a Source Term Estimation Methodology of Sensor Configuration in an Urban-like Environment by Panagiotis Gkirmpas, Fotios Barmpas, George Tsegas, George Efthimiou, Paul Tremper, Till Riedel, Christos Vlachokostas, Nicolas Moussiopoulos

“…Identifying unknown sources of air pollutants is vital for protecting public health, especially in cases involving the emission of toxic substances. The efficiency of this process depends highly on the accuracy of Source Term Estimation (STE) methods and the availability of robust measurements. …”
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Research on 3D Path Optimization for an Inspection Micro-Robot in Oil-Immersed Transformers Based on a Hybrid Algorithm by Junji Feng, Xinghua Liu, Hongxin Ji, Chun He, Liqing Liu

“…This integrated strategy ensures robust circumvention of complex 3D obstacles while maintaining path efficiency. …”
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ON INCREASING ENERGY SECURITY OF BELARUS by S. N. Osipov

“…Therefore, in the energy sector energy efficiency should be increased through the use of its own energy resources. …”
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Transcriptome-aligned metabolic profiling by SERSome reflects biological changes following mesenchymal stem cells expansion by Xinyuan Bi, Bin Ma, Wei Liu, Wei-Qiang Gao, Jian Ye, Hanyu Rao

“…However, MSCs exhibit greater heterogeneity limited stability, and more complex molecular and mechanistic characteristics compared to conventional drugs, making rapid and precise monitoring more challenging. …”
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Explainable Aspect-Based Sentiment Analysis Using Transformer Models by Isidoros Perikos, Athanasios Diamantopoulos

“…These datasets consist of over 16,100 complex sentences, each containing a couple of aspects and corresponding polarities. …”
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Multimodal approaches and AI-driven innovations in dementia diagnosis: a systematic review by Revati M. Wahul, Sarita Ambadekar, Deepesh M. Dhanvijay, Mrinai M. Dhanvijay, Manisha A. Dudhedia, Varsha Gaikwad, Bhavana Kanawade, J. R. Pansare, Balaji Bodkhe, S. H. Gawande

“…This survey will compare the study’s algorithms or frameworks on sensitivity, specificity, interpretability, computational efficiency, and clinical transnationality concerning early detection and monitoring progression. …”
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Optimization and validation of bifenazate and bifenazate-diazene quantification in agricultural products using a reduction method by Deuk-Yeong Lee, Hee-Jin Jeong, Jong-Wook Song, Ji-Young An, Jong-Su Seo, Jong-Hwan Kim

“…The developed method was validated for selectivity, linearity (R 2 > 0.999), accuracy, and precision, meeting international regulatory guidelines. …”
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YOLOv8-TEA: Recognition Method of Tender Shoots of Tea Based on Instance Segmentation Algorithm by Wenbo Wang, Yidan Xi, Jinan Gu, Qiuyue Yang, Zhiyao Pan, Xinzhou Zhang, Gongyue Xu, Man Zhou

“…However, due to the diverse growth postures of tender shoots and complex growth environments in tea plants, traditional tea picking machines are unable to precisely select the tender shoots, and the picking of high-end and premium tea still relies on manual labor, resulting in low efficiency and high costs. …”
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An Interactive Human-in-the-Loop Framework for Skeleton-Based Posture Recognition in Model Education by Jing Shen, Ling Chen, Xiaotong He, Chuanlin Zuo, Xiangjun Li, Lin Dong

“…Recognized poses are used to retrieve matched examples from a reference library, allowing instructors to browse and select posture suggestions for learners. This semi-automated feedback loop enhances teaching interactivity and efficiency. …”
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Machine Learning for Decision Support and Automation in Games: A Study on Vehicle Optimal Path by Gonçalo Penelas, Luís Barbosa, Arsénio Reis, João Barroso, Tiago Pinto

“…In the field of gaming artificial intelligence, selecting the appropriate machine learning approach is essential for improving decision-making and automation. …”
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A Machine Learning-Enabled System for Crop Recommendation by Pedina Sasi Kiran, Gembali Abhinaya, Smaraneeka Sruti, Neelamadhab Padhy

“…By identifying the significant role of technology in advanced farming practices, we aim to create a solution that helps farmers make informed decisions about crop selections and agricultural practices. Utilizing data analytics and AI-driven insights enhances productivity and efficiency. …”
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Effectiveness of positive allosteric modulators of metabotropic glutamate receptor 2/3 (mGluR2/3) in animal models of schizophrenia by David Olivares-Berjaga, Albert Martínez-Pinteño, Natalia Rodríguez, Sergi Mas, Constanza Morén, Eduard Parellada, Patricia Gassó

“…Abstract Schizophrenia (SZ) is a deleterious brain disorder characterised by its heterogeneity and complex symptomatology consisting of positive, negative and cognitive deficits. …”
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Imbalanced feature generation based on bootstrap power spectral curve for estimating respiratory rate by Soojeong Lee, Gyanendra Prasad Joshi, Gangseong Lee

“…Therefore, BIFG can be efficiently trained to predict the complex nonlinear relationships between the feature vectors obtained from the photoplethysmography signals and the reference RR. …”
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A Time Series Approach to Forecasting Financial Indicators in the Wholesale and Retail Trade by Sylvia Jenčová, Petra Vašaničová, Martina Košíková, Marta Miškufová

“…The study demonstrates that simple legacy forecasting methods, such as exponential smoothing and Box–Jenkins methodology, are sufficient for accurately predicting financial indicators. These models were selected for their simplicity, interpretability, and efficiency in capturing stable trends, and seasonality, especially in sectors with relatively stable financial behavior. …”
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Innovative controlling technologies by Bychkova S, Zhidkova E., Andreeva O.

“…Modern agro-industrial and food industry enterprises require continuous improvement of management systems. The complexity and specificity of the agro-industrial production determine the approaches and management methods, which have to be innovative. …”
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Effective Solution of University Course Timetabling using Particle Swarm Optimizer based Hyper Heuristic approach by Zahid Iqbal, Rafia Ilyas, Huah Yong Chan, Naveed Ahmed

“…The hyper-heuristic framework adequately addresses this complex problem. This research proposed Particle Swarm Optimizer-based Hyper Heuristic (HH PSO) to solve UCTP efficiently. …”
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Unleashing the nexus between farmers’ participation in rural tourism and their ecological footprint: Emerging environmental subjectivities in rural China by Mengwei Gu, Fang Su, Jiangbo Chang

“…Analyzing their environmental impacts offers a novel perspective for exploring the complex interplay among human production, consumption, and the ecological environment at a micro level. …”
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Analysis of Electromagnetic and Thermal Processes of an Induction Motor Using 3D Modeling by A. N. Pekhota, V. N. Galushko, B. M. Khrustalev, D. V. Mirosh

“…The research has made it possible to develop and apply 3D models of electromagnetic processes using special programs, interactively without describing complex vector equations of field theory, while using the ongoing thermal processes. …”
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Understanding what really helps to ensure access to diagnostic services in the Indian Public Health System: a realist synthesis of the Common Review Mission reports (2007-2021) by Erin Hannah, Nisha Basheer, Neha Dumka, Atul Kotwal

“… # Conclusions In a complex adaptive system, access to diagnostic services depends on the concurrent strengthening of various health system components across the levels of care. …”
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