Bidirectional Feedback Mechanism in Group Decision-Making: A Quantum Probability Theory Model Based on Interference Effects by Mei Cai, Yilong Heng

“…As the core of GDM, feedback controls the progress and cost of the process. However, the current feedback model seldom considers interference effects caused by the interaction among experts. …”
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Model Predictive Control of Nonlinear System Based on GA-RBP Neural Network and Improved Gradient Descent Method by Youming Wang, Didi Qing

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Coordinating REST interactions in service choreographies using blockchain by Francesco Donini, Alessandro Marcelletti, Andrea Morichetta, Andrea Polini

“…In Service Oriented Computing (SOC), different services interact and exchange information to reach specific objectives. To model interorganizational SOC systems, choreography modeling languages have emerged to represent the distributed coordination among the involved organizations. …”
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Deep learning application to hyphae and spores identification in fungal fluorescence images by Ruisong Ren, Wenyu Tan, Shiting Chen, Xiaoya Xu, Dadong Zhang, Peilin Chen, Min Zhu

“…The high agreement value suggests the proposed dual-model framework’s ability to identify fungal hyphae and spores in fluorescence images can reach the level of clinicians. …”
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WF-SwinUnet: A Window Fusion-based RFI Segmentation Model and Its Application in FAST by QingYun Li, MingHui Li, Dongjun Yu, Jie He

“…In addition, among the six FAST observation targets, the model’s average F1 score reached 0.818, an improvement of 8.3% over the existing best deep learning model (RFI-Net). …”
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Effective feature selection based HOBS pruned- ELM model for tomato plant leaf disease classification. by M Amudha, K Brindha

“…CACPNET demonstrates an accuracy of 92.4% with a model size of 18.0 MB. In contrast, the proposed approach significantly outperforms these models in terms of accuracy and processing time.…”
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Effects of Different Drying Methods on Modelling, Energy Consumption and Final Quality of Tomato (Lycopersicum esculentum Mill) by Hakan Polatcı, Yücel Erkmen

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Flood change detection model based on an improved U-net network and multi-head attention mechanism by Fajing Wang, Xu Feng

“…Experimental findings demonstrate significant improvements in loss value, accuracy, and precision compared to existing models. Specifically, the accuracy of the model algorithm in this work reaches 95.52%, marking a 3.46% improvement over the baseline U-Net network. …”
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Construction of teaching quality evaluation model of online dance teaching course based on improved PSO-BPNN by Jin Ben, Li Hanwen

“…According to the findings, the accuracy of the designed model reached 97.25%, which significantly exceeded other commonly used methods. …”
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Influence of cognitive networks and task performance on fMRI-based state classification using DNN models by Murat Kucukosmanoglu, Javier O. Garcia, Justin Brooks, Kanika Bansal

“…The 1D-CNN achieved an overall accuracy of 81% (Macro AUC = 0.96), while the BiLSTM reached 78% (Macro AUC = 0.95). Despite the architectural differences, both models demonstrated a robust relationship between prediction accuracy and individual cognitive performance (p < 0.05 for 1D-CNN, and p < 0.001 for BiLSTM), with lower classification accuracy observed in individuals with poorer task performance. …”
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MiniCPM-V LLaMA Model for Image Recognition: A Case Study on Satellite Datasets by Kursat Komurcu, Linas Petkevicius

“…The merged dataset was developed to expand the generalization and variation of data distribution associated with the labeling and training processes inherent in satellite image analysis. We systematically collected prediction results for each individual dataset and conducted a comparative analysis against results reported in previous studies to benchmark the model&#x0027;s effectiveness. …”
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Digital Twin-Enabled Adaptive Robotics: Leveraging Large Language Models in Isaac Sim for Unstructured Environments by Sanjay Nambiar, Rahul Chiramel Paul, Oscar Chigozie Ikechukwu, Marie Jonsson, Mehdi Tarkian

“…By combining local LLM processing, real-time vision, and robot simulation, the approach enables untrained users to interact with collaborative robots in dynamic settings. …”
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A deep learning model with machine vision system for recognizing type of the food during the food consumption by Pouya Bohlol, Soleiman Hosseinpour, Mahmoud Soltani Firouz

“…Ultimately, the EfficientNetB7 model with the Lion optimizer was chosen for the dataset. …”
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B → K+ invisible, dark matter, and CP violation in hyperon decays by Xiao-Gang He, Xiao-Dong Ma, Jusak Tandean, German Valencia

“…We entertain this possibility in a two-Higgs-doublet model supplemented with a real singlet scalar boson acting as the dark matter. …”
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Intercomparison of biogenic CO₂ flux models in four urban parks in the city of Zurich by S. Stagakis, D. Brunner, J. Li, L. Backman, A. Karvonen, L. Constantin, L. Järvi, M. Havu, J. Chen, S. Emberger, L. Kulmala

“…There are multiple challenges in achieving these goals, such as the partitioning of atmospheric measurements of <span class="inline-formula">CO₂</span> fluxes to anthropogenic and biospheric processes, the insufficient understanding of urban biospheric processes, and the applicability of existing biosphere models to urban systems. …”
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Debonding Analysis Model and Experimental Investigations on FRP Plates Reinforced SHCC Beams Under Three-point Bending by HU Jihong, SUN Mingqing, WANG Yingjun, CHEN Jianzhong, HUANG Wei

“…It was likely that the linear interface bonding stress-slip relationship adopted in the model used in this study could not reflect this process, which remained an issue requiring further investigation. …”
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Non vertical ionization-dissociation model for strong IR induced dissociation dynamics of $${{D}_{2}}O^{2+}$$ by Jun Wang, Shu Ning Gao, Aihua Liu, Lanhai He, Xi Zhao

“…Our investigation reveals the predominant role of a non-vertical dissociation pathway in the photo-ionization dissociation (PID) process of $$\mathrm {D_{2}O^{2+}}$$ . This pathway originates from neutral $$\mathrm {D_{2}O}$$ , which undergoes vertical multi-photon-single-ionization, reaching the intermediate dissociation states of $$\mathrm {D_{I} + OD_{II}^{+} (2^{3}\Sigma )}$$ within $$\mathrm {D_{2}O^{+}}$$ . …”
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Bayesian inference of structured latent spaces from neural population activity with the orthogonal stochastic linear mixing model. by Rui Meng, Kristofer E Bouchard

“…Here, we developed a new latent process Bayesian regression framework, the orthogonal stochastic linear mixing model (OSLMM) which introduces an orthogonality constraint amongst time-varying mixture coefficients, and provide Markov chain Monte Carlo inference procedures. …”
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Micro-nanojauges design to monitor surface mechanical state during high temperature oxidation of metals with application to 17-4PH stainless steel by Abdelhamid Hmima, Malak Kheir Al Din, Claire Gong, Benoit Panicaud, Akram Alhussein, Guillaume Geandier, Florimonde Lebel, Jean-Luc Grosseau-Poussard, Joseph Marae Djouda, Thomas Maurer, Hind Kadiri

“…In this article, a special attention has also been paid to two nano-fabrication processes, as well as their limits. The standard electron beam lithography process is well suited to build gauges for oxidation applications, and can be improved by use of reactive ion etching process. …”
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Kernel to computation: identifying optimal feature set for red rice classification by Suma D, Narendra V G, Darshan Holla M, Shreyas, Raviraja Holla M

“…The integration of size, shape, and texture features yielded the highest average accuracy across the models, with K-Nearest Neighbours achieving 98.67 % accuracy and Support Vector Machine reaching 97.34 % accuracy with the size and shape combination. …”
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