Intelligent system for monitoring and controlling the technical condition of mechatronic process facilities by A. K. Tugengol'd, E. A. Luk'yanov, R. N. Voloshin, V. F. Bonilla

“…The system training efficiency is considered taking into account the standard deviation of the network outputs from the target values of the training sample.Discussion and Conclusion. …”
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Optimal Design of Interior Permanent Magnet Synchronous Motor Considering Various Sources of Uncertainty by Giacomo Guidotti, Dario Barri, Federico Soresini, Massimiliano Gobbi

“…The method incorporates an innovative use of the neural network-based variance estimation (NNVE) technique to efficiently calculate the standard deviation of the objective functions. …”
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Detecting Floating-Point Expression Errors Based Improved PSO Algorithm by Hongru Yang, Jinchen Xu, Jiangwei Hao, Zuoyan Zhang, Bei Zhou

“…The floating-point expression error detection tool PSOED is implemented, which can detect significant errors in floating-point arithmetic expressions and provide corresponding input. The method presented in this paper is based on two insights: (1) treating floating-point error detection as a search problem and selecting reliable heuristic search strategies to solve the problem; (2) fully utilizing the error distribution laws of expressions and the distribution characteristics of floating-point numbers to guide the search space generation and improve the search efficiency. …”
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Using Image-based AI for insect monitoring and conservation - InsectAI COST Action by Tom August, Mario Balzan, Paul Bodesheim, Gunnar Brehm, Lisette Cantú-Salazar, Sílvia Castro, Joseph Chipperfield, Guillaume Ghisbain, Alba Gomez-Segura, Jérémie Goulnik, Quentin Groom, Laurens Hogeweg, Chantal Huijbers, Andreas Kamilaris, Karolis Kazlauskis, Wouter Koch, Dimitri Korsch, João Loureiro, Youri Martin, Angeliki Martinou, Kent McFarland, Xavier Mestdagh, Denis Michez, Charlie Outhwaite, Luca Pegoraro, Nadja Pernat, Lars Pettersson, Pavel Pipek, Cristina Preda, David Rolnick, Tobias Roth, David Roy, Helen Roy, Veljo Runnel, Martina Sasic, Dmitry Schigel, Julie Sheard, Cecilie Svenningsen, Heliana Teixeira, Nicolas Titeux, Thomas Tscheulin, Elli Tzirkalli, Marijn van der Velde, Roel van Klink, Nicolas Vereecken, Sarah Vray, Toke Thomas Høye

“…These groups will address how image-based insect AI technologies can best address Societal Needs, support innovation in Image Collection hardware, create standardised approaches for Image Processing and develop novel Data Analysis and Integration methods for turning data into actionable insights.…”
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Regulatory effects of laser irradiation on greenhouse-grown strawberry productivity by LEI Kangqi, YANG Han, CHENG Feng, LEI Yumeng, LI Jianwei, QI Yetong, LI Zhitao, QI Xingjiang

“…Laser technology amplifies light through stimulated emission but has safety limitations in horticultural settings, particularly with short-term high-intensity helium-neon lasers due to their high energy output. Semiconductor lasers, characterized by high photoelectric conversion efficiency, offer potential energy savings. …”
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Deep Reinforcement Learning-Graph Neural Networks-Dynamic Clustering triplet for Adaptive Multi Energy Microgrid optimization by T. Kaal, A. Rafiee

“…In line with this, we have introduced a novel method that integrates DRL, Graph Neural Network (GNN) and dynamic clustering to optimize microgrid operations. …”
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Multinationals’ approach to the circular economy principles: an overview of the electronics sector and its sustainable efforts by Maria Sol Fernandes Marques Silva, Ana Paula Alves Cruz, Fabio Luiz Papaiz Gonçalves

“… Objective: The aim of this study was to investigate how multinational companies (MNCs) are addressing sustainability issues in their operations and to what degree they adopt sustainable initiatives related to the circular economy (CE) principles. Method: We performed a systematic review of the initiatives of 43 MNCs, using their corporate sustainability reports.  …”
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Outlier Ensemble Based on Isolation Forest: The CBOEA Approach by Chaabouni Ali, Boujelben Mohamed Ayman

“…The performance with benchmark data sets shows that the proposed method is competitive with its components.…”
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Machine learning (ML) based reduced order modelling (ROM) for linear and non-linear solid and structural mechanics by Mikhael Tannous, Chady Ghnatios, Eivind Fonn, Trond Kvamsdal, Francisco Chinesta

“…However, generating the stiffness matrix in a non-intrusive approach presents an optimal way to align accuracy with efficiency, combining the advantages of both intrusive and non-intrusive methods. …”
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Performance and Economic Evaluation of Asphalt-Based High Friction Surface Treatment (HFST) Applications by Alireza Roshan, Magdy Abdelrahman

“…The goal was to develop a method to convert diverse project and material data into comparable outputs like net present value (NPV), enabling comparisons between alternatives. …”
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Quality control of DEMs using check surfaces by Francisco Javier Ariza-López, José Rodríguez-Avi

“…The trial based on autocorrelated synthetic data created following a geostatistical model (exponential law) outputs a clear result regarding the influence of intra-patch autocorrelation. …”
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Reducing Memory and Computational Cost for Deep Neural Network Training with Quantized Parameter Updates by Leo Buron, Andreas Erbslöh, Gregor Schiele

“…For embedded devices, both memory and computational efficiency are essential due to their constrained resources. …”
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Ship Detection in SAR Images Based on Adjacent Context Guide Fusion Module and Dense Weighted Skip Connection by Wurui Shi, Zican Hu, Hongkun Liu, Shengcai Cen, Jinhan Huang, Xueyun Chen

“…The experimental results indicate that the method proposed in this paper surpasses previous ship detection methods and achieves high accuracy on SSDD and AIRSARShip-1.0 datasets.…”
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Integrated Carbon Flow Tracing and Topology Reconfiguration for Low-Carbon Optimal Dispatch in DG-Embedded Distribution Networks by Rao Fu, Guofeng Xia, Sining Hu, Yuhao Zhang, Handaoyuan Li, Jiachuan Shi

“…Validated on a 16-node three-feeder system, the method co-optimizes switch configurations and DG outputs, achieving dual objectives of loss reduction and carbon emission mitigation while preserving radial topology feasibility.…”
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HEE-SegGAN: A holistically-nested edge enhanced GAN for pulmonary nodule segmentation. by Yong Wang, Seri Mastura Mustaza, Mohammad Syuhaimi Ab-Rahman, Siti Salasiah Mokri

“…Finally, a series of ablation experiments on the LUNA16 dataset demonstrated the effectiveness of the proposed method. Compared to traditional 3D methods, our approach extracted features more efficiently while preserving spatial information and reducing computational requirements. …”
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Design a new scheme for image security using a deep learning technique of hierarchical parameters by Khazaal Yasmine M., Falih Mohanaed Ajmi, Majeed Abbas Hamid

“…Manipulating the layers of the neural network in a hierarchical manner to benefit from the outputs of the layers in feedback reflects the importance of the contributions here. …”
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A robust multi-model framework for groundwater level prediction: The BFSA-MVMD-GRU-RVM model by Akram Seifi, Sharareh Pourebrahim, Mohammad Ehteram, Hanieh Shabanian

“…The study also shows that the novel model can provide outputs with lower uncertainty.…”
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Insights Gained from Using AI to Produce Cases for Problem-Based Learning by Enjy Abouzeid, Patricia Harris

“…Ulster University’s School of Medicine embraces a problem-based learning (PBL) approach, yet crafting scenarios for this method poses challenges, requiring collaboration among medical and academic experts who are often difficult to convene. …”
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Use of Artificial Intelligence in the Digital Economy by N. A. Olimov

“…The code also visualizes the relationship between price and sales volume, and outputs the model coefficients. Conclusion. Using artificial intelligence methods such as linear regression allows us to effectively analyze market trends and identify relationships between key indexes such as price and sales volume. …”
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Sequential Multi-Scale Modeling Using an Artificial Neural Network-Based Surrogate Material Model for Predicting the Mechanical Behavior of a Li-Ion Pouch Cell Under Abuse Conditio... by Alexander Schmid, Christian Ellersdorfer, Eduard Ewert, Florian Feist

“…To ensure computational efficiency, the heterogeneous cell structure is represented by homogenized material models. …”
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