A fuzzy track-to-track association algorithm with dynamic time warping for trajectory-level vehicle detection by Siqi Wan, Huaqiao Mu, Ke Han, Taesu Cheong, Chi Xie

“…The results also indicated that more features can maintain the stability of associations in the presence of larger random errors, and DTW can improve association accuracy in intricate scenarios. …”
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LMFUNet: A Lightweight Multi-fusion UNet Based on Spiking Neural Systems for Skin Lesion Segmentation by Ningkang Hu, Bing Li, Hong Peng, Zhicai Liu, Jun Wang

“…LMFUNet uses an Efficient Multi-scale Feature Extraction block (EMFE) in deep stages, which uses grouping of features by convolution with different dilation rates to reduce model complexity and effectively capture multi-scale features. …”
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AutoLDT: a lightweight spatio-temporal decoupling transformer framework with AutoML method for time series classification by Peng Wang, Ke Wang, Yafei Song, Xiaodan Wang

“…TS-separable linear self-attention mechanism and convolutional feedforward network achieve feature extraction in a lightweight way by decoupling temporal and spatial features of time series. …”
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Intelligent monitoring method for conveyor belt misalignment based on deep learning by ZUO Mingming, ZHANG Xi, YANG Zihao, SUN Qifei, ZHANG Mengchao, ZHANG Yuan, LI Hu

“…First, the conveyor belt edge recognition problem was treated as a line detection issue in a specific scenario. …”
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LaroTuro (Teaching Game Approach): Its Effectiveness on Test Performance in Araling Panlipunan (Social Studies) of Grade III Learners in Dadiangas West Central Elementary School by Mary Jane Sardido, Cirilo Alegre, Ivycris Guaybar, Jovar Pantao

“…To gain insight into the problem and contribute to addressing it, this study aimed to determine the effectiveness of LaroTuro (Teaching Game Approach in the Philippines) as an intervention in improving test performance in the Araling Panlipunan. …”
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Research on precision shaping technology of CVT for fairway cBN grinding wheel by Xiangguo QIN, Ziying ZHANG, Dongsheng TANG

“…MethodsBased on the technical problems existing in the current optical guided dressing method in engineering, this paper analyzes the principle of raceway forming grinding and the geometric feature structure of the raceway, and combs through the geometric accuracy control principle of the cBN grinding wheel in raceway grinding. …”
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Enhancing underwater target detection: Fusion of spatio‐temporal incompletely‐aligned AIS and sonar information via DTW and multi‐head attention mechanism by Wenbo Zhao, Xinghua Cheng, Dezhi Wang, Xiaodan Xiong, Xiaoshuang Zhang

“…Based on the attention mechanism, the abstract features extracted from the intermediate‐layer of the neural networks are found to be effective to represent the typical features of the target motion trajectories, which also demonstrates the effectiveness of the attention mechanism. …”
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Borehole‐Based Interval Kriging for 3D Lithofacies Modeling by Yuqi Song, Frank T.‐C. Tsai

“…Compared to the multiple‐point statistics (MPS) algorithm—SNESIM, interval kriging can reproduce the geological architecture and spatial connectivity of channel‐type features, meanwhile producing tabular‐type features with better connectivity. …”
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Forms of Lay Participation in Justice in Russia and China: A Comparative Legal Analysis by A. Gavrilova, A. Danshin

“…The study employed a range of comparative legal methods, namely the micro-comparison, synchronous, and diachronic methods. The problem-chronological method was used to investigate the essential features of lay representation in civil and criminal proceedings, which helped determine the place and role of this social practice in the judicial system. …”
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Double Stage Transfer Learning for Brain–Computer Interfaces by Yunyuan Gao, Mengting Li, Yun Peng, Feng Fang, Yingchun Zhang

“…Transfer learning (TL), which transfers knowledge learned from existing subjects to new subjects, can be applied to solve this problem. Some existing EEG-based TL algorithms cannot achieve good results because they only extract partial features. …”
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Surgical management of abdominal tuberculosis: A prospective single-center study by Mithun Barot, Vipul D Yagnik, Kirankumar Patel, Sushil Dawka

“…Although anemia and ESR are both nonspecific features, they may help in supporting the clinical and pathological findings. …”
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Learning Class-Aware Local Representations for Few-Shot Remote Sensing Scene Classification by Liu Wang, Li Zhuo, Hui Zhang, Jiafeng Li

“…It generates class-aware support local representations by calibrating the local features with class-level global features to alleviate the problem of ignoring the class-semantic information. …”
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Formation and development of schooling in the Crimean ASSR (1920s) by R. N. Bogdanov

“…The attention of readers is drawn to the creation of Naroobraz, analyzes policies in the field of school education, as well as the features of public education of individual national minorities of the Crimean Peninsula. …”
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TIDieR-Placebo: A guide and checklist for reporting placebo and sham controls. by Jeremy Howick, Rebecca K Webster, Jonathan L Rees, Richard Turner, Helen Macdonald, Amy Price, Andrea W M Evers, Felicity Bishop, Gary S Collins, Klara Bokelmann, Sally Hopewell, André Knottnerus, Sarah Lamb, Claire Madigan, Vitaly Napadow, Andrew N Papanikitas, Tammy Hoffmann

“…Our main output was a modification of the existing Template for Intervention Description and Replication (TIDieR) checklist; this allows the key features of both active interventions and placebo or sham controls to be concisely summarised by researchers. …”
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A Holistic Strategy of Modified Superpixel Segmentation and Randomized Adam Hyperparameter Tuning with Deep Learning Approaches for the Classification of Breast Cancer from BreakHi... by Gowri Shankar Manivannan, Karthikeyan Shanmugam, Harikumar Rajaguru, Satish V. Talawar, Rajanna Siddaiah

“…The next step involves superpixel segmentation through SLIC-K-Means-BIRCH followed by feature extraction using SIFT with Bag of Features (BoF). …”
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Model Semantic Attention (SemAtt) With Hybrid Learning Separable Neural Network and Long Short-Term Memory to Generate Caption by Agus Nursikuwagus, Rinaldi Munir, Masayu L. Khodra, Deshinta Arrova Dewi

“…Shapes, colors, and structures are to be focused on to get the image’s features. The problem faced is how the separable neural network (SNN) and long short-term memory (LSTM) have an impact on the caption that can meet the geologist’s description. …”
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Research into the Application of ResNet in Soil: A Review by Wenjie Wu, Lijuan Huo, Gaiqiang Yang, Xin Liu, Hongxia Li

“…ResNet outperforms traditional methods by effectively mitigating the vanishing gradient problem, enabling deeper network training, enhancing feature extraction, and improving accuracy in complex pattern recognition tasks. …”
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Psycholinguistic Aspects of Focalization in a Paradigm of Narrative Discours by Ernest Ivashkevych

“…In this article, the narrative discourse will be analyzed on the example of graphic novels, and based on the analysis will be determined the psycholinguistic features of the narrative discourse. In the article it was emphasized that the analysis of the materials presented in the form of comics is important for defining the features of the narrative discourse, because the person who is observing is only the object of visualization, and not its subject. …”
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Influences on policy-formulation, decision-making, organisation and management for maternal, newborn and child health in Bangladesh, Ethiopia, Malawi and Uganda: The roles and legi... by Kohenour Akter, Yusra Ribhi Shawar, Anene Tesfa, Callie Daniels Howell, Gloria Seruwagi, Agnes Kyamulabi, Albert Dube, Geremew Gonfa, Kasonde Mwaba, QCN Evaluation Group, Mary Kinney, Mike English, Jeremy Shiffman, Nehla Djellouli, Tim Colbourn

“…We developed a framework drawing on three models: Tallberg and Zurn which conceptualizes legitimacy of international organisations dependent on their features, the legitimation process and beliefs of audiences; Nasiritousi and Faber, which looks at legitimacy in terms of problem, purpose, procedure, and performance of institutions; Sanderink and Nasiritousi, to characterize networks in terms of political, normative and cognitive interactions. …”
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Synthetic Cannabinoids Use among Inmates in an English Prison by S. Craft, A. Austin, I. Blagborough, P. Sunderland, C. Pudney, T. Freeman

“…Introduction: The use of synthetic cannabinoids (SC) is major public-health problem in UK prisons, and between 2015 – 2022, SCs were implicated in around half of all non-natural deaths among UK prisoners. …”
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