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8501
Optimizing concrete crack detection an echo state network approach with improved fish migration optimization
Published 2025-01-01“…The suggested ESN/IFMO model was tested on the SDNET2018 dataset, which comprises concrete photos with diverse fracture patterns, and the results were compared to several other state-of-the-art approaches. The suggested ESN/IFMO model shows potential as a more effective solution for concrete crack identification, increasing accuracy by 3.75–8.19% over current models such as DL, DINN, AlexNet, CNN, and LSTM, as well as increasing F1 score by 5.14–12.55%.…”
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8502
Prediction of protein biophysical traits from limited data: a case study on nanobody thermostability through NanoMelt
Published 2025-12-01“…We find that an ensemble model stacking multiple regression using diverse sequence embeddings achieves state-of-the-art accuracy in predicting nanobody thermostability. …”
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8503
Quasi-vertically asymmetric channels of graphene oxide membrane for ultrafast ion sieving
Published 2025-01-01“…The membranes achieved water permeance of 2647 L m−2 h−1 bar−1 while still maintaining an ultrahigh rejection rate of 99.9% for heavy metal ions, which is superior to the state-of-the-art 2D membranes reported. Furthermore, the membranes exhibited excellent stability during long-term filtration experiments for at least 48 h, as well as resistance to ultrasonic treatment for over 100 minutes. …”
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8504
Think4SCND: Reinforcement Learning With Thinking Model for Dynamic Supply Chain Network Design
Published 2024-01-01“…Extensive experiments on both synthetic and real-world datasets show that Think4SCND significantly outperforms state-of-the-art baselines, achieving near-optimal solutions with a fraction of the computational cost. …”
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8505
Exploring the typhoon intensity forecasting through integrating AI weather forecasting with regional numerical weather model
Published 2025-02-01“…To address these insufficiencies in typhoon intensity forecasting, we propose an attractive approach by initiating regional Weather Research and Forecasting (WRF) model with Pangu-weather, a state-of-the-art AI weather forecasting system (AI-Driven WRF), whose forecasting power can be further augmented by the implementation of dynamic vortex initialization. …”
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8506
Design delle manifestazioni umane
Published 2024-12-01“…Con il contributo di riferimenti teorici da autori come Norberg-Schulz, Jacobs e Bauman, e esempi iconici di arte pubblica, si propone una visione del design urbano come catalizzatore per la creazione di spazi espressivi, emozionali e inclusivi. …”
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8507
Lightweight defense mechanism against adversarial attacks via adaptive pruning and robust distillation
Published 2022-12-01“…Adversarial training is one of the commonly used defense methods against adversarial attacks, by incorporating adversarial samples into the training process.However, the effectiveness of adversarial training heavily relied on the size of the trained model.Specially, the size of trained models generated by the adversarial training will significantly increase for defending against adversarial attacks.This imposes constraints on the usability of adversarial training, especially in a resource-constraint environment.Thus, how to reduce the model size while ensuring the robustness of the trained model is a challenge.To address the above issues, a lightweight defense mechanism was proposed against adversarial attacks, with adaptive pruning and robust distillation.A hierarchically adaptive pruning method was applied to the model generated by adversarial training in advance.Then the trained model was further compressed by a modified robust distillation method.Experimental results on CIFAR-10 and CIFAR-100 datasets showed that our hierarchically adaptive pruning method presented stronger robustness under various FLOP than the existing pruning methods.Moreover, the fusion of pruning and robust distillation presented higher robustness than the state-of-art robust distillation methods.Therefore, the experimental results prove that the proposed method can improve the usability of the adversarial training in the IoT edge computing environment.…”
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8508
Multiobjective Memetic Estimation of Distribution Algorithm Based on an Incremental Tournament Local Searcher
Published 2014-01-01“…Compared with three state-of-the-art multiobjective optimization algorithms, our algorithm achieves comparable results in terms of convergence and diversity metrics.…”
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8509
Call for Papers: IJPS volume 12, issue 1
Published 2024-12-01“…We welcome submissions in a variety of categories including community voices, works of art, editorials, media reviews, case studies, reports of research and quality improvement projects, and practical frameworks. …”
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8510
m_AutNet–A Framework for Personalized Multimodal Emotion Recognition in Autistic Children
Published 2025-01-01“…The proposed algorithm shows higher performance than state-of-the-art affect recognition classifiers for autistic children, with an accuracy of 88.25%.…”
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8511
Measurement of t t ¯ $$ t\overline{t} $$ production in association with additional b-jets in the eμ final state in proton–proton collisions at s $$ \sqrt{s} $$ = 13 TeV with the AT...
Published 2025-01-01“…The measured integrated fiducial cross-sections are consistent with t t ¯ b b ¯ $$ t\overline{t}b\overline{b} $$ predictions from various next-to-leading-order matrix element calculations matched to a parton shower within the uncertainties of the predictions. State-of-the-art theoretical predictions are compared with the differential measurements; none of them simultaneously describes all observables. …”
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8512
OSFS‐Vague: Online streaming feature selection algorithm based on vague set
Published 2024-12-01“…The results demonstrate that OSFS‐Vague outperforms six state‐of‐the‐art OSFS algorithms in terms of selection accuracy and computational efficiency.…”
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8513
Analysis of Seed Vigor Using the Biospeckle Laser Technique
Published 2024-12-01“…This paper explores the state-of-the-art application of the BSL technique for evaluating seed vigor, highlighting successful approaches, identifying current challenges, and outlining areas for future research. …”
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8514
Recursive Sample Scaling Low-Rank Representation
Published 2021-01-01“…Several experiments are performed with varying levels of corruption on ORL, CMU PIE, COIL20, COIL100, and LFW in order to evaluate RSS-LRR’s effectiveness over state-of-the-art low-rank methods. The experimental results show that RSS-LRR consistently performs better than the compared methods in image clustering and classification tasks.…”
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8515
A Novel Element Detection Method in Audio Sensor Networks
Published 2013-02-01“…The experiments demonstrate that our proposed method achieves better results compared to the state-of-the-art methods while using smaller online training sets.…”
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8516
A novel RNN architecture to improve the precision of ship trajectory predictions
Published 2025-12-01“…Currently, the Ornstein-Uhlenbeck (OU) model is considered the state-of-the-art for STP. However, this model can be time-consuming and can only represent a single vessel track. …”
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8517
Guaranteed efficient energy estimation of quantum many-body Hamiltonians using ShadowGrouping
Published 2025-01-01“…In numerical experiments, we demonstrate that ShadowGrouping improves upon state-of-the-art methods in estimating the electronic ground-state energies of various small molecules, both in provable and practical accuracy benchmarks. …”
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8518
A Survey of Ontologies Considering General Safety, Security, and Operation Aspects in OT
Published 2024-01-01“…It offers insights into the current state-of-the-art within this research area.…”
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8519
Signal Recovery in Power Systems by Correlated Gaussian Processes
Published 2024-01-01“…We evaluate the performances of Corr-GP compared with those of other state-of-the-art techniques. In addition to outperformance in terms of recovery accuracy, it is explained when and how the accuracy of the reconstructed signal is independent of the missing interval length. …”
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8520
Application of Supply-Demand-Based Optimization for Parameter Extraction of Solar Photovoltaic Models
Published 2019-01-01“…The experimental results comparing with ten state-of-the-art algorithms demonstrate that SDO performs better or highly competitively in terms of accuracy, robustness, and convergence. …”
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