Integrating Multiscale Spatial–Spectral Shuffling Convolution With 3-D Lightweight Transformer for Hyperspectral Image Classification by Qinggang Wu, Mengkun He, Qiqiang Chen, Le Sun, Chao Ma

“…The combination of convolutional neural networks and vision transformers has garnered considerable attention in hyperspectral image (HSI) classification due to their abilities to enhance the classification accuracy by concurrently extracting local and global features. …”
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How lived experiences of illness trajectories, burdens of treatment, and social inequalities shape service user and caregiver participation in health and social care: a theory-info... by Carl R May, Katja C Gravenhorst, Alyson Hillis, Mick Arber, Carolyn A Chew-Graham, Katie I Gallacher, Frances S Mair, Ellen Nolte, Alison Richardson

“…It is reflected in policy and practice interventions that identify service users and caregivers as part of a team that consists of informal networks beyond provider organisations and the professionals within them in health and social care. …”
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METHODOLOGICAL SEMINAR MADI-IGIP AS A FORMOF ENGINEERING PEDAGOGY DEVELOPMENT: HISTORY AND PROSPECTS by Zoya S. Sazonova

“…Special attention is paid to the role of MADI in a large8scale inter8 university project aimed at the creation of centers for engineering pedagogy with a network structure. The specific feature of such structure is that all its elements have an ability to intercommunicate. …”
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Brand promotion through online advertising: current tools by K. A. Arzhanova, A. I. Eremeeva

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Explainable Artificial Intelligence-Based Diseases Diagnosis From Unstructured Clinical Data and Decision Making Using Blockchain Technologies by Sumathi M., S. P. Raja

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For the Pet Care Appliance of Location Aware Infrastructure on Cyber Physical System by Chung-Ming Own

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Content-based dynamic superframe adaptation for Internet of Medical Things by Yousaf Zia, Arshad Farhad, Faisal Bashir, Kashif Naseer Qureshi, Ghufran Ahmed

“…These low-powered technologies have the ability to integrate several communicating and interacting devices for the purpose of wide range applications such as Smart homes and healthcare applications. …”
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An Efficient Mutual Authentication and Fractional Lyrebird Optimization With Deep Learning–Based SIP-Based DRDoS Attack Detection by V. Sreenivasulu, C. V. Ravikumar

“…The detection performance of DSA is increased by training using the fractional lyrebird optimization algorithm (FLOA); FLOA provides a more effective, reliable, and scalable optimization strategy for training DSAs than traditional algorithms. Its ability to dynamically interact with DSA’s learning dynamics makes it not just a suitable choice, but the optimal optimization choice for this hybrid deep learning system. …”
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A Multiagent Geosimulation Approach for Intelligent Sensor Web Management by Mehdi Mekni, Phil Graniero

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Avoiding the bullies: The resilience of cooperation among unequals. by Michael Foley, Rory Smead, Patrick Forber, Christoph Riedl

“…When competitive ability dynamically depends on cumulative payoffs, complex cycles of coupled network-strategy-rank changes emerge. …”
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How Does the Heterogeneity of Members Affect the Evolution of Group Opinions? by An Lu, Haifeng Ling, Zhengping Ding

“…While for the regular network, the ability is obviously weaker than that of the other two. …”
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The Relationship Between Social Participation and Cognitive Function in Older Adults: The Mediating Role of Activities of Daily Living by Chong Zhang, Juan Xiong, Wenqi Luo, Lin Sun

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Research on Discrete Dynamic System Modeling of Vocal Performance Teaching Platform Based on Big Data Environment by Xiaohui Gong

“…The experiments show that the deep recurrent neural network algorithm can analyze the effectiveness of the innovation model, and the fuzzy evaluation method can realize the comprehensive evaluation of the innovation mode, which is conducive to the improvement of students’ vocal music learning ability.…”
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Beyond Collaboration: The Impact of Partner Knowledge, Relational Skills, and Internal Communication on SME’s Performance by Marsiana Setiarini

“… This study aims to analyze the influence of network capabilities consisting of Partner Knowledge, Relational Skills, and Internal Communication on SME’s performance. …”
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Distributed Optimization for Mobile Robots under Mobile Edge Computing Environment by Hui Luo, Quan Yin

“…Then, a semidistributed algorithm is introduced to solve the distributed optimization problem in the mmW network. By improving the autonomous decision-making ability of the mmW base station, the signaling overheads caused by information interaction are reduced, and information leakage is effectively avoided. …”
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Dynamic patterns of correlated activity in the prefrontal cortex encode information about social behavior. by Nicholas A Frost, Anna Haggart, Vikaas S Sohal

“…We used microendoscopic GCaMP imaging to measure prefrontal activity while mice were either alone or engaged in social interaction. We developed an approach that combines a neural network classifier and surrogate (shuffled) datasets to characterize how neurons synergistically transmit information about social behavior. …”
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The features of organizing tourist routes as one of the methods to increase the efficiency of rolling stock usage by N. A. Kovalenko, L. S. Shorokhova

“…The development of the route network contributes to the increase in the competitive abilities of regional tourist destinations. …”
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Multibranch semantic image segmentation model based on edge optimization and category perception. by Zhuolin Yang, Zhen Cao, Jianfang Cao, Zhiqiang Chen, Cunhe Peng

“…To address the above problems, we propose an edge optimization and category-aware multibranch semantic segmentation network (ECMNet). First, an attention-guided multibranch fusion backbone network is used to connect features with different resolutions in parallel and perform multiscale information interaction to reduce the loss of spatial detail information. …”
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Dual intent view contrastive learning for knowledge aware recommender systems by Jianhua Guo, Zhixiang Yin, Shuyang Feng, Donglin Yao, Shaopeng Liu

“…DIVCL employs a dual-view representation learning approach using Graph Neural Networks (GNNs), consisting of two distinct views: a local view based on the user-item interaction graph and a global view based on the user-item-entity knowledge graph. …”
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Degradation Type-Aware Image Restoration for Effective Object Detection in Adverse Weather by Xiaochen Huang, Xiaofeng Wang, Qizhi Teng, Xiaohai He, Honggang Chen

“…To cope with this issue, we put forward a degradation type-aware restoration-assisted object detection network, dubbed DTRDNet. It contains an object detection network with a shared feature encoder (SFE) and object detection decoder, a degradation discrimination image restoration decoder (DDIR), and a degradation category predictor (DCP). …”
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