Normalized square difference based multilevel thresholding technique for multispectral images using leader slime mould algorithm by Manoj Kumar Naik, Rutuparna Panda, Ajith Abraham

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An end-to-end mass spectrometry data classification model with a unified architecture by Yinchu Wang, Wei Zhang, Lin Guo, Fengyi Zhang, Zilong Liu, Xingchuang Xiong, Xiang Fang

“…To address these problems, we present MS-DREDFeaMiC, a deep neural network framework for disease diagnosis and bioanalysis via mass spectrometry data that enables end-to-end training. …”
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Numerical Simulation Data-Aided Domain-Adaptive Generalization Method for Fault Diagnosis by Tao Yan, Jianchun Guo, Yuan Zhou, Lixia Zhu, Bo Fang, Jiawei Xiang

“…In order to deal with the cross-domain distribution offset problem in mechanical fault diagnosis under different operating conditions. …”
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Parameterized quantum comb and simpler circuits for reversing unknown qubit-unitary operations by Yin Mo, Lei Zhang, Yu-Ao Chen, Yingjian Liu, Tengxiang Lin, Xin Wang

“…However, obtaining the explicit quantum circuit for the desired quantum comb remains a challenging problem. We propose PQComb, a novel framework that employs parameterized quantum circuits (PQCs) or quantum neural networks to harness the full potential of quantum combs for diverse quantum process transformation tasks. …”
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The role of the hippocampus in working memory and word reading: Novel neural correlates of reading among youth living in the context of economic disadvantage by ET. Marcelle, H. Yang, JW. Cohen, B. Ramphal, D. Pagliaccio, V. Rauh, BS. Peterson, F. Perera, H. Andrews, AG. Rundle, J. Herbstman, AE. Margolis

“…However, among youth with low scores on reading tests who are living in the context of economic disadvantage, this brain network is actively engaged during reading, despite persistent reading problems. …”
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A Novel Multi-Task and Ensembled Optimized Parallel Convolutional Autoencoder and Transformer for Speech Emotion Recognition by Zahra Sharifzadeh Jafari, Sanaz Seyedin

“…These PCAEs also address the problem of the loss of initial sequential information during convolution operations for SER tasks. …”
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Novel GSIP: GAN-based sperm-inspired pixel imputation for robust energy image reconstruction by Gamal M. Mahmoud, Wael Said, Magdy M. Fadel, Mostafa Elbaz

“…Our approach includes three essential modifications: (1) integration of an identity module within the GAN architecture to mitigate the vanishing gradient problem; (2) introduction of a metaheuristic algorithm based on sperm motility to select the top 10 pixels that most effectively contribute to the generation of the missing pixel; and (3) the implementation of an adaptive interval mechanism between the discriminator’s actual value and the weighted average of the selected pixels, enhancing the generator’s efficiency and ensuring the coherence of the imputed pixels with the surrounding image context. …”
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Toward Automated Knowledge Discovery in Case-Based Reasoning by Sherri Weitl-Harms, John Hastings, Jay Powell

“…It lays groundwork for integrating ACE, an unsupervised CBR learner, with modern deep learning techniques like neural networks and large language models to combine the strengths of symbolic and subsymbolic AI. …”
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Effective Customization of Evolutionary Algorithm-Based Energy Management System Optimization for Improved Battery Management in Microgrids by Alessandro Niccolai, Silvia Trimarchi, Lisa Francesca Barbazza, Alessandro Gandelli, Riccardo Zich, Francesco Grimaccia, Sonia Leva

“…The growing penetration of renewable energy sources into electricity grids, along with the problems linked to the electrification of rural areas, has drawn more attention to the development of microgrids. …”
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Analysis of the marketing activities in the blood service: bibliometric analysis by Liliya Khomenko, Liudmyla Saher, Jan Polcyn

“…The relevance of this scientific problem decision is that one of the criteria for the health level of the country’s population is the availability of a sufficient number of blood donors (Global, 2017). …”
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Citrus Disease Classification Model Based on Improved ConvNeXt by Jichi Yan, Yongbin Mo, Yannan Yu, Shiqing Dou, Rongfeng Yang

“…Early diagnosis of citrus diseases directly affects the yield and quality of citrus cultivation, and a citrus disease classification model based on improved ConvNeXt is proposed to address the problems of high cost and low efficiency of traditional citrus disease detection methods. …”
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Clinical and Breed Characteristics of Idiopathic Head Tremor Syndrome in 291 Dogs: A Retrospective Study by Linda G. Shell, John Berezowski, Mark Rishniw, Belle M. Nibblett, Patrick Kelly

“…Clinical information was obtained from an online community of veterinary information aggregation and exchange (Veterinary Information Network, 777 W Covell Boulevard, Davis, CA 95616) and conducted with their approval. …”
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Passenger air transportation market in Europe by I. P. Stecenko, A. V. Parkhimovich

“…The article defines the leaders of the passenger air transportation market, addresses the problems obstructing the air transportation network development. …”
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Detection of Crack Sealant in the Pretreatment Process of Hot In-Place Recycling of Asphalt Pavement via Deep Learning Method by Kai Zhao, Tianzhen Liu, Xu Xia, Yongli Zhao

“…This algorithm integrates the RepViT (Representation Learning with Visual Tokens) network to reduce computational complexity while capturing the global context of images. …”
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Metro Shield Machine Attitude Prediction Method Integrating Excavation Index and Support Vector Regression by ZHANG Zhen, LIANG Jie, ZHANG Yulong, CHEN Tie, LIU Gang

“…Compared to the back propagation neural network model, this integrated model improves prediction accuracy by 6.41%. …”
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Multiple Feature Vectors Based Fault Classification for WSN Integrated Bearing of Rolling Mill by Bo Qin, Luyang Zhang, Heng Yin, Yan Qin

“…To solve the above-mentioned problems, a fault extraction method is put forward to extract multiple feature vectors and then a classification model is developed. …”
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A New Concept Proposal of the Tidal Level Designed for the Security of Coastal Levee during Storm Surge — Taking the Lingdingyang Estuary as an Example by LI Bin, HE Yong, FANG Shenguang

“…Based on the analysis of the design frequency tidal levels,storm surge water increase and flood inflow upstream of control stations in Lingdingyang Estuary over years,it showed that the tidal levels of designed frequency of 0.5%~2.0% raised from 0.2 to 1.0 m in recent years,the extreme storm surge elevations exceed 2.5 m commonly,and the current tidal level difference of adjacent design frequency was less than 0.2 m.During the emergence of the extreme storm surge elevation in the estuary flood upstream would not be appeared simutaneously,while the moderate tide was most likely encounterred.Therefore,there were some problems in the application of design frequency tidal levels in estuarine waters,such as the small tidal level difference between adjacent frequencies,the severe frequency jump of tide level during strong typhoon,and the failure to directly reflect the leading role of the extreme storm surge elevation in the elevation design of coastal levee.The concept of the tidal levels designed for storm surge security of coastal levee was proposed in the paper,which were composed of multi-year average high tidal level and the maximum extreme storm surge elevation,clearly and easily to be used.It highlights the main role played by coastal levee to resist the disaster by strong storm surge.The calculated values were close to and slightly more than the designed tidal levels of 100~200 year return period of main stations in the mouth of Lingdingyang estuary,Shiziyang water area and delta river network area after reviewed in 2020,proving its safety and reliability.The reviewed tidal levels of designed frequency in the Chiwan station in 2020 were likely too high by analysis preliminarily.The tidal level designed for storm surge security of coastal levee could be widely used in reinforcement design,safety risk assessment in storm surge and storm surge disaster warning and response.…”
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Mapping the diagnostic odyssey of congenital disorders of glycosylation (CDG): insights from the community by Pedro Granjo, Carlota Pascoal, Diana Gallego, Rita Francisco, Jaak Jaeken, Tristen Moors, Andrew C. Edmondson, Kristin A. Kantautas, Mercedes Serrano, Paula A. Videira, Vanessa dos Reis Ferreira

“…The average time to diagnosis has decreased in recent years (now ~ 3.9 years), due to advancements namely the increased use of whole genome and exome sequencing. …”
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Evaluating Land use Mixed-ness on Street Level through Spatial Analyses and Gini Method by Hamid Motieyan, Mohammad Azmoodeh

“…The increasing use of motor vehicles is one of the consequences of urbanization, which in addition to problems such as traffic and air pollution, will reduce the physical activity of residents and affect the general health of society. …”
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Advancing smart communities with a deep learning framework for sustainable resource management. by Yongyan Zhao

“…The framework leverages long short-term memory (LSTM) networks for temporal data, convolutional neural networks (CNNs) for spatial analysis, and autoencoders for anomaly detection. …”
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