Invariant Representation Learning in Multimedia Recommendation with Modality Alignment and Model Fusion by Xinghang Hu, Haiteng Zhang

“…While previous approaches have adopted invariant learning to address this issue, they simply concatenate multimodal data without proper alignment, resulting in information loss or redundancy. …”
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Image Recognition of Pledges of Capital Stock in Small- and Medium-Sized Enterprises Based on Partial Differential Equations by Dehui Zhou

“…By analyzing the important role of shallow features for fine-grained image recognition, a feature fusion method with adaptive weights is proposed. Using this method to fuse shallow and high-level semantic features for recognition, the role of shallow features in fine-grained image recognition is fully exploited. …”
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Bayesian Estimation of Ammunition Demand Based on Multinomial Distribution by Kang Li, Xian-ming Shi, Juan Li, Mei Zhao, Chunhua Zeng

“…The study result shows that the Bayesian inference method based on multinomial distribution is highly maneuverable and can be used to predict ammunition demand of different damage grades under the condition of small samples.…”
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Multimodal Recommendation System Based on Cross Self-Attention Fusion by Peishan Li, Weixiao Zhan, Lutao Gao, Shuran Wang, Linnan Yang

“…However, current approaches face two key limitations: they rely on static similarity metrics for product relationship graphs and they struggle to effectively fuse information across modalities. We propose MR-CSAF, a novel multimodal recommendation algorithm using cross-self-attention fusion. …”
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DARBUOTOJŲ KOMPETENCIJŲ SVARBA SVETINGUMO IR TURIZMO SEKTORIUOSE by Jūratė Martinonytė, Aušrinė Černiauskienė, Andrius Brusokas

“…Nustatyta, kad svetingumo ir turizmo sektoriuje dirbantys darbuotojai turi mokėti anglų, rusų bei vokiečių kalbas, pasižymėti kūrybiškumu, iniciatyvumu ir lankstumu. …”
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Small face detection based on improved YOLOv5s by ZHOU Lifang, HU Zhen, LIU Bo

“…Firstly, we proposed a small face enhancement module to fuse and upsample multi-layer features, which enhances the resolution of small face feature maps and strengthens their distinctiveness. …”
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Analysis of Emotional Deconstruction and the Role of Emotional Value for Learners in Animation Works Based on Digital Multimedia Technology by Shilei Liang

“…Subsequently, we perform individual feature extraction for these two types of information using gated recurrent unit (GRU). Finally, we employ a multiattention mechanism to fuse the multimodal information derived from audio and video sources. …”
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Short-Term Forecasting of Dockless Bike-Sharing Demand with the Built Environment and Weather by Yang Yang, Xin Shao, Yuting Zhu, Enjian Yao, Dongmei Liu, Feng Zhao

“…We construct SGCNPM which can effectively fuse GCN, LSTM, and FCN, thus creating a prediction method considering the influence of multiple factors. …”
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Interventional embolization of the fistula from right inferior phrenic artery to pulmonary vein by Wendi Kang, Junqing Xi, Jijun Zhang, Zhengqiang Yang

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Liquid-based encapsulation for implantable bioelectronics across broad pH environments by He Sun, Xiaoting Xue, Gabriella L. Robilotto, Xincheng Zhang, ChangHee Son, Xingchi Chen, Yue Cao, Kewang Nan, Yiyuan Yang, Gavin Fennell, Jaewook Jung, Yang Song, Huijie Li, Shao-Hao Lu, Yizhou Liu, Yi Li, Weiyi Zhang, Jie He, Xueju Wang, Yan Li, Aaron D. Mickle, Yi Zhang

“…Abstract Wearable and implantable bioelectronics that can interface for extended periods with highly mobile organs and tissues across a broad pH range would be useful for various applications in basic biomedical research and clinical medicine. …”
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Changes in the histological structure of tissues and organs of pikeperch (Sander lucioperca Linnaeus, 1758) and perch (Perca fluviatilis Linnaeus, 1758) from the Zaporizhzhia Reser... by P. Korzhenevska, T. Sharamok, A. Doroshenko

“…The object of the study were age-3+ pikeperch and perch. The number of fishes used in the study was 20 specimens of each species. …”
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Decentralized Cooperative Localization Approach for Autonomous Multirobot Systems by Thumeera R. Wanasinghe, George K. I. Mann, Raymond G. Gosine

“…This study proposes the use of a split covariance intersection algorithm (Split-CI) for decentralized multirobot cooperative localization. …”
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Tackling Complexity in Green Contractor Selection for Mega Infrastructure Projects: A Hesitant Fuzzy Linguistic MADM Approach with considering Group Attitudinal Character and Attri... by Junling Zhang, Xiaowen Qi, Changyong Liang

“…Although conventional multiple attributes decision-making (MADM) methodologies have provided feasible ways to select contractor, high complexity in scenarios of megaprojects still challenges existing MADM methods in concurrently accommodating three key issues of decision hesitancy, attributes interdependency, and group attitudinal character. …”
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The COMRADE System for Multirobot Autonomous Landmine Detection in Postconflict Regions by Prithviraj Dasgupta, José Baca, K. R. Guruprasad, Angélica Muñoz-Meléndez, Janyl Jumadinova

“…We envisage that the quality of landmine detection can be significantly improved if multiple robots are coordinated to detect landmines in a cooperative manner by incrementally fusing the landmine-related sensor information they collect and then use that information to visit locations of potential landmines. …”
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MAF-CNER : A Chinese Named Entity Recognition Model Based on Multifeature Adaptive Fusion by Xuming Han, Feng Zhou, Zhiyuan Hao, Qiaoming Liu, Yong Li, Qi Qin

“…Aiming at the problem of insufficient expression of potential Chinese features in named entity recognition tasks, this paper proposes a multifeature adaptive fusion Chinese named entity recognition (MAF-CNER) model. The model uses bidirectional long short-term memory (BiLSTM) neural network to extract stroke and radical features and adopts a weighted concatenation method to fuse two sets of features adaptively. …”
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Predicting EV battery state of health using long short term degradation feature extraction and FEA TimeMixer by Weijie Tang, Jiayan Chen, Dongjiao Chen

“…Abstract Accurately predicting the State of Health (SOH) of new energy vehicle batteries is critical for ensuring their reliable operation and extending battery’s service life. To address the issue of low SOH prediction accuracy across different prediction lengths, this paper proposes a prediction method based on long-short-term battery degradation feature extraction and FEA-TimeMixer model. …”
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An Easy-to-Understand Method to Construct Desired Distance-Like Measures by Wen Qing Fu, Sheng Gang Li, Harish Garg, Heng Liu, Ahmed Mostafa Khalil, Jingjing Zhao

“…This paper recommends in a plausible reasoning manner an easy-to-understand method to construct desired distance-like measures: to fuse easy-to-obtain (or easy to be coined by practitioners) pseudo-semi-metrics, pseudo-metrics, or metrics by making full use of well-known t-norms, t-conorms, aggregation operators, and similar operators (easy to be coined by practitioners). …”
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Person Reidentification Model Based on Multiattention Modules and Multiscale Residuals by Yongyi Li, Shiqi Wang, Shuang Dong, Xueling Lv, Changzhi Lv, Di Fan

“…The model introduces combined attention fusion module and multiscale residual fusion module in the backbone network ResNet 50 to enhance the feature flow between residual blocks and better fuse multiscale features. Furthermore, a global branch and a local branch are designed and applied to enhance the channel aggregation and position perception ability of the network by utilizing the dual ensemble attention module, as along as the fine-grained feature expression is obtained by using multiproportion block and reorganization. …”
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Specialized contact sites regulate the fusion of chlamydial inclusion membranes by Christine Linton, Jordan Wesolowski, Anna Lobley, Toshiyuki Yamaji, Kentaro Hanada, Fabienne Paumet

“…Ultimately, these inclusions fuse together in a process that requires the chlamydial protein IncA. …”
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Cross-Attention Fusion of Visual and Geometric Features for Large-Vocabulary Arabic Lipreading by Samar Daou, Achraf Ben-Hamadou, Ahmed Rekik, Abdelaziz Kallel

“…Lipreading involves recognizing spoken words by analyzing the movements of the lips and surrounding area using visual data. It is an emerging research topic with many potential applications, such as human–machine interaction and enhancing audio-based speech recognition. …”
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