Fine-grained image classification using the MogaNet network and a multi-level gating mechanism by Dahai Li, Su Chen

“…A feature extraction network based on MogaNet is constructed, and multi-scale feature fusion is combined to fully mine image information. …”
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Grading evaluation method for inter-turn short circuit of permanent magnet traction motor based on deep Gaussian processes by DAI Jisheng, HU Dean, XU Hailong, ZHU Wenlong, LIAO Qishu

“…Therefore, this paper proposed a grading evaluation method for inter-turn short circuit in permanent magnet traction motors based on multi-feature fusion of deep Gaussian processes. Firstly, by establishing a fault model for inter-turn short circuit in permanent magnet traction motors, features such as current unbalance, third harmonic currents and second harmonic feature of <italic>dq</italic> currents were extracted. …”
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AI-Based Classification of Pediatric Breath Sounds: Toward a Tool for Early Respiratory Screening by Lichuan Liu, Wei Li, Beth Moxley

“…Auscultation, the act of listening to breath sounds, is a crucial diagnostic method for respiratory system diseases. Problem: Parents and caregivers often lack the necessary knowledge and experience to identify subtle differences in children’s breath sounds. …”
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A Novel Deep Hybrid Model for Automatic Femoral Stem Classification in Hip Arthroplasty From Radiographs: MSFT-Net With CBAM and Transformer Modules by Emre Gogus, Atinc Yilmaz, Meric Enercan

“…In cases where prior implant data are unavailable, manual identification is often required, posing significant challenges due to its time-consuming and error-prone nature. To solve this problem, a novel hybrid deep learning architecture that includes a convolutional block attention module and a swin transformer with multi-scale feature fusion from pre-trained architectures DenseNet201, VGG19, and InceptionV3 under the transfer learning paradigm was proposed in this study. …”
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A Deep Learning-Driven Black-Box Benchmark Generation Method via Exploratory Landscape Analysis by Haoming Liang, Fuqing Zhao, Tianpeng Xu, Jianlin Zhang

“…Exploratory landscape analysis (ELA) offers a systematic framework for characterizing objective functions, based on quantitative landscape features. This study proposes a method for generating benchmark functions tailored to single-objective continuous optimization problems with boundary constraints using predefined ELA feature vectors to guide their construction. …”
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Evaluating the Effect of Environmental-Physical Factors on the Livability and Quality of Urban Streets (Case Study: Nader and Enghelab Streets in Sari City) by Armin Akhavan, Esmail Salehi, Shirin Toghyani

“…Studied streets’ environmental-physical features were considered as independent variables and their quality and livability were taken as dependent variables. …”
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Self‐Supervised Pre‐Training and Few‐Shot Finetuning for Gas‐Bearing Prediction by Long Han, Xinming Wu, Renjie Chen, Yunhua Shi, Zhanxuan Hu, Huijing Fang

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Is the beneficiary pays principle essential in climate justice? by Clare Heyward

“…In this paper, I want to ask whether the BPP must feature in any plausible account of remedial responsibility for climate change. …”
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Diversity is key: fantasy football dream teams under budget constraints by Josef Gullholm, Jil Klünder, Julie Rowlett, Jonathan Stålberg

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On the Satisfiability and Model Checking for one Parameterized Extension of Linear-time Temporal Logic by Anton Romanovich Gnatenko, Vladimir Anatolyevich Zakharov

“…The main issue which still remains unclear is the complexity of decision problems for these logics. In the paper, we give a complete solution to satisfiability checking and model checking problems for $Reg$-$LTL$ and prove that both problems are Pspace-complete. …”
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Clinical observation of a prurigo nodularis in a HIV-positive patient by E. N. Efanova, Yu. E. Rusak, E. A. Vasileva

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L'analyse log-linéaire de tableaux de contingence et le modèle logit II : interaction et rapport de chances à propos d'un problème d'évaluation contingente by Estelle Kah

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Traffic flow prediction based on spatial-temporal multi factor fusion graph convolutional networks by Ying-Ting Chen, An Liu, Cheng Li, Shuang Li, Xiao Yang

“…The GCN based on the ARMA filter is used to extract the spatial features, and the GRU is utilized to capture temporal features from traffic flow data. …”
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Comparative Analysis of the <i>woman</i> and </>женщина</i> Conceptual Representation in English and Russian Languages in the Localization of the Series “The Handmaid's Tale”... by N. V. Stepanova, V. N. Matveeva

“…Due to the increasing interest in foreign series, the problem of localizing film texts is of particular importance. …”
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The Relationship between Nocturnal Enuresis and Obstructive Sleep Apnea in Children by María Andreu-Codina, Danica Nikolic-Jovanovic, Eduard Esteller, Núria Clusellas, Montserrat Artés, Javier Moyano, Andreu Puigdollers

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MTAF–DTA: multi-type attention fusion network for drug–target affinity prediction by Jinghong Sun, Han Wang, Jia Mi, Jing Wan, Jingyang Gao

“…Results We propose MTAF–DTA, a method for drug–target binding affinity prediction to solve the above problems. The drug representation module extracts three modalities of features from drugs and uses an attention mechanism to update their respective contribution weights. …”
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Evaluation of initial geostress field of underground powerhouse in the complex alteration area of western Sichuan based on back-propagation neural network method by Hong Zheng, Shiqi Cao, Quan Jiang, Shaojun Li, Dingping Xu, Zhiwei Li

“…To solve these problems, a rapid and efficient classification criterion based on exploration-derived geological information was proposed. …”
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TECHNOLOGY FOR EFFICIENT USAGE OF HYDROCARBON-CONTAINING WASTE IN PRODUCTION OF MULTI-COMPONENT SOLID FUEL by B. M. Khroustalev, A. N. Pekhota

“…The paper shows a perspective evaluation, applicability and practical significance of the solution of the problem on efficient usage of hydrocarbon-containing waste while producing the multi-component solid fuel.…”
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Transformer attention fusion for fine grained medical image classification by Danyal Badar, Junaid Abbas, Raed Alsini, Tahir Abbas, Wang ChengLiang, Ali Daud

“…Through its algorithm, the model solves problems with imbalanced datasets and inconsistent image quality without needing data augmentation because it learns stable features. …”
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Multi-channel spatio-temporal graph attention contrastive network for brain disease diagnosis by Chaojun Li, Kai Ma, Shengrong Li, Xiangshui Meng, Ran Wang, Daoqiang Zhang, Qi Zhu

“…This network incorporates an intra-window graph contrastive constraint to enhance the discriminative ability of the extracted features. Moreover, temporal dependencies across windows are captured by integrating feature embeddings through a self-attention mechanism, and the inter-window recurrent contrastive constraint is devised to extract higher-order spatio-temporal topological features. …”
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