Multimodal Metaverse Healthcare: A Collaborative Representation and Adaptive Fusion Approach for Generative Artificial-Intelligence-Driven Diagnosis by Jianhui Lv, Adam Slowik, Shalli Rani, Byung-Gyu Kim, Chien-Ming Chen, Saru Kumari, Keqin Li, Xiaohong Lyu, Huamao Jiang

“…Our framework introduces a collaborative representation learning approach that captures shared and modality-specific features across text, audio, and visual health data. …”
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Forecast of Aging of PEMFCs Based on CEEMD-VMD and Triple Echo State Network by Jie Sun, Shiyuan Pan, Qi Yang, Yiming Wang, Lei Qin, Wang Han, Ruixiang Wang, Lei Gong, Dongdong Zhao, Zhiguang Hua

“…Overall, combining CEEMD-VMD with the TriESN strengthens feature depiction, fosters sparsity, diminishes the likelihood of overfitting, and augments the network’s capacity for generalization. …”
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Approximate Solutions of Variational Inequalities and the Ekeland Principle by Raffaele Chiappinelli, David E. Edmunds

“…</mo></mrow></semantics></math></inline-formula> After a short exposition of work in this area, we establish conditions on <i>F</i> sufficient to ensure a positive answer to the question of whether <i>F</i> is a gradient operator. A novel feature of the proof is the key role played by the well-known Ekeland variational principle.…”
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Pattern transition recognition based on transfer learning for exoskeleton across different terrains by Yifan Gao, Jianbin Zheng, Yang Gao, Ziyao Chen, Jing Tang, Liping Huang

“…Furthermore, spatial attention (SA) provides insight into significant components in multi-dimensional feature selection. Pattern transition recognition based on a transfer learning method achieves higher accuracy and earlier prediction time (Pre-T). …”
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A Dual-Labeled Multiplex Absolute Telomere Length Method to Measure Average Telomere Length by Sue Rutherford Siegel, E. Alex Calcagni, Kelsey M. Draughon, Sheree F. Logue

“…As cells divide, telomeres shorten due to the end-replication problem and oxidative stress, ultimately contributing to cellular senescence. …”
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Remaining Useful Life Prediction of Bearings via Semi-Supervised Transfer Learning Based on an Anti-Self-Healing Health Indicator by Jung-Woo Kim, Kyoung-Su Park

“…However, recent studies have not addressed feature extraction methods that consider all of these aspects. …”
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Cloud-edge cooperative optimization scheduling strategy of metro integrated supervision and control system based on edge computing by Yang Wang, Shusong Yang, Wei Zhang, Jiandi Jiang, Zetian Bai, Haojie Yang, Hui Fang

“…Using edge-side monitoring data ubiquitous sensing, edge node data feature analysis, panoramic monitoring visualization technology, optimizing the existing MISCS operation mode, designing the operation optimization scheme of the ground body integrated monitoring system applying edge computing technology, and targeting the problem of the current metro integrated monitoring system covering a wide range of areas and having too many tasks, which leads to the system latency being too high, under the cloud-edge cooperative architecture, we propose a simulated annealing-based Simulated-annealing-based Adaptive Genetic Taboo Search Algorithm (SAGTSA) computational offloading strategy, which enables the scheduling tasks of the MISCS to adaptively adjust the offloading strategy of migrating to the edge nodes or cloud center. …”
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Few-Shot Unsupervised Domain Adaptation Based on Refined Bi-Directional Prototypical Contrastive Learning for Cross-Scene Hyperspectral Image Classification by Xuebin Tang, Hanyi Shi, Chunchao Li, Cheng Jiang, Xiaoxiong Zhang, Lingbin Zeng, Xiaolei Zhou

“…To facilitate prototype contrastive learning, we employ a Siamese-style distance metric loss function to aggregate intra-class features while increasing the discrepancy of inter-class features. …”
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Expert assessment method in foresight studies by O. I. Karasev, E. I. Mukanina

“…Foresight studies have a distinctive feature from other areas in that the result is the achievement of consensus between experts in the subject area. …”
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Emotional well-being of schoolchildren: theoretical foundations and prospects for research by A. A. Pecherkina, K. D. Katkalo, G. I. Borisov

“…The article aims to formulate and analyse the problem of emotional well-being, to provide an overview of scientific approaches to its operationalisation, and to determine methodological foundations and directions for assessing the emotional well-being of Russian schoolchildren.Methodology and research methods. …”
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The Pulvinus Is the Weak Point for Stem Lodging Resistance in Ripe Barley by Alberto Gianinetti, Marina Baronchelli

“…Stem lodging is a serious problem for the ripe barley crop because it can reduce grain yield and quality. …”
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Ensemble-based customer churn prediction in banking: a voting classifier approach for improved client retention using demographic and behavioral data by Ruchika Bhuria, Sheifali Gupta, Upinder Kaur, Salil Bharany, Ateeq Ur Rehman, Seada Hussen, Ghanshyam G. Tejani, Pradeep Jangir

“…This enhancement is proving the efficiency of SMOTE to handle the class imbalance problem in order to render the churn prediction more balanced and reliable system. …”
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Sound-Based Unsupervised Fault Diagnosis of Industrial Equipment Considering Environmental Noise by Jeong-Geun Lee, Kwang Sik Kim, Jang Hyun Lee

“…To achieve this, statistical features of Mel frequency cepstral coefficients were extracted, generating features applicable regardless of signal length. …”
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Improved YOLOv8 Algorithm was Used to Segment Cucumber Seedlings Under Complex Artificial Light Conditions by Duokuo Zhang, Na Li, Mingfu Zhao, Kun Xu

“…First, the C2f module in the YOLOv8 backbone network is optimized by replacing the bottleneck with the multi-scale feature module (MSFM) we designed. The convolution kernels of different sizes are employed to capture features at multiple scales in the image, thereby processing target and background information more effectively. …”
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Photographic techniques for urban art documentation by Pablo Rodriguez-Navarro, Pedro Manuel Cabezos-Bernal, Teresa Gil-Piqueras

“…On the one hand, this fact is not necessarily a problem for the vast majority of graffiti, but, in the case of a graffiti masterpiece, it is undeniable that this distinctive feature of mutability, which is an intrinsic part of its artistic objective, should not avoid its correct documentation as a work of art. …”
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Injury of the musculoskeletal system in civilian casualties as a result of hostilities. Report 1. Age structure by S.O. Guryev, P.V. Tanasiienko, R.V. Derkach

“…That is why, based on the above, we planned to continue scientific research on this problem.…”
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Solar Agro Savior: Smart Agricultural Monitoring Using Drones and Deep Learning Techniques by Manu Mundappat Ramachandran, Bisni Fahad Mon, Mohammad Hayajneh, Najah Abu Ali, Elarbi Badidi

“…The proposed system incorporates a specialized form of a recurrent neural network, Long Short-Term Memory (LSTM), which effectively addresses the vanishing gradient problem. It also utilizes an attention-based mechanism that enables the model to assign meaningful weights to the most important parts of the data sequence. …”
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Localization of Multiple GNSS Interference Sources Based on Target Detection in C/N₀ Distribution Maps by Qidong Chen, Rui Liu, Qiuzhen Yan, Yue Xu, Yang Liu, Xiao Huang, Ying Zhang

“…Additionally, the Squeeze-and-Excitation (SE) mechanism and the Feature Pyramid Network (FPN) are integrated at key stages of the network to improve sensitivity to small targets, thereby enhancing detection and localization performance for low-power interference sources. …”
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A Deep Learning Approach for Crop Disease and Pest Classification Using Swin Transformer and Dual-Attention Multi-Scale Fusion Network by R. Karthik, Armaano Ajay, Akshaj Singh Bisht, T. Illakiya, K. Suganthi

“…This research proposes a new feature fusion-based model that uses two parallel tracks to extract features from plant images. …”
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Traffic safety and dynamic properties of the bridge deck of high-speed railway lines by V. Yu. Polyakov, Dang Ngoc Thanh

“…Thus, one of the most important dynamic parameters — damping — is a problem for a ballastless track on high-speed railway bridges. …”
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