Driver and Path Detection through Time-Series Classification by Mario Luca Bernardi, Marta Cimitile, Fabio Martinelli, Francesco Mercaldo

“…The proposed feature model is exploited using a time-series classification approach based on a multilayer perceptron (MLP) network to evaluate their effectiveness for the goals listed above. …”
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Modern metal framed glazed façades refurbishment: conservation in the energy and ecological transition by Tanja Marzi, Lorenzo Savio

“…This contribution presents a critical overview of the problems relating to the conservation of metal framed glazed façades built in the second half of the twentieth century. …”
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Visual Episodic Memory-based Exploration by Jack Vice, Natalie Ruiz-Sanchez, Pamela K Douglas, Gita Sukthankar

“…This paper explores the use of visual episodic memory as a source of intrinsic motivation for robotic exploration problems. Using a convolutional recurrent neural network autoencoder, the agent learns an efficient representation for spatiotemporal features such that accurate sequence prediction can only happen once spatiotemporal features have been learned. …”
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Harnessing self-supervised learning to boost malicious traffic detection with enhanced attention by SUN Jianwen, ZHANG Bin, LI Hongyu, CHANG Heyu

“…The existing deep learning-based malicious traffic detection methods generally suffered from three main problems: labeled sample scarcity, inadequate representation of malicious behavior traffic features, and a high false positive rate due to ineffective integration of behavioral association patterns during detection. …”
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Frequency function and damping function in assessment of dynamic processes in mechanical oscillatory systems with symmetry by A. V. Eliseev

“…A new approach to the formation of the methodological basis of system analysis in the application to the problems on mechanical oscillatory structure dynamics is considered. …”
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Solo Vandanov's Historical Works in the Buryat Written Sources Parallel Corpus by Marina V. Ayusheeva

“…The analysis of Solo Vandanov’s travel notes made it possible to identify the features of sentence construction, the presence of complex-compound constructions. …”
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A survey of models for automatic assessment of similarity of student's answer to the reference answer by Nadezhda S. Lagutina, Ksenia V. Lagutina

“…A large number of authors choose large language models to solve their problems, but standard features remain in demand. It is impossible to single out a universal approach; each subtask requires a separate choice of method and adjustment of its parameters. …”
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Behavior Analysis of Students in Preschool Mathematics Teaching Based on Deep Learning by Guangning Qin

“…Through convolution and self-attention mechanism, multi-scale feature fusion is enhanced. Adding a small target detection layer and extracting local features from larger-sized feature maps significantly improves the ability to recognize the behaviors of students in the back row. …”
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Fault diagnosis of power transformers based on dissolved gas analysis and multi-kernel graph convolution network integrated with dual-channel classifiers by Xuebin Lv, Fuzheng Liu, Mingshun Jiang, Faye Zhang, Lei Jia

“…Firstly, construct multi-dimensional supplementary feature vectors adopting multi-feature dissolved gas ratio analysis to enrich the characterization features of transformers. …”
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Addressing the Devil Within: Normal Pressure Hydrocephalus—A Narrative Review by Divyani Garg, Neera Chaudhry

“…Characteristic neuroimaging features occur, which are vital to diagnosis. Diagnostic criteria in the form of Japanese guideline and Congress of Neurological Surgeons 2005 guidelines have been devised, and broadly, are based on a constellation of clinical and neuroimaging features, in association with cerebrospinal fluid (CSF) testing. …”
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Structure of basic emotions as a factor of emotional intelligence of high school students by Yulia A. Mochalova

“…Emotional reaction is recognized as a specific type of knowledge that can enable a person to solve environmental problems successfully and correlate with the category of intelligence. …”
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Metric‐based pill recognition with the help of textual and visual cues by Richárd Rádli, Zsolt Vörösházi, László Czúni

“…The inference time on CPU and GPU makes the proposed model suitable for different kinds of applications in medical pill verification; moreover, the approach applies to other areas of object recognition where few‐shot problems arise. The proposed high‐level feature injection method (into a low‐level metric learning model) can also be exploited in other cases, where class features can be well described with textual or visual cues.…”
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Fostering the Return of Compatriots (Concerning Rehabilitation of Ethno-Cultural Principle) by T. A. Bazhan

“…The key sociocultural features are mastering the Russian language, belonging to peoples of Russia and readiness to integrate into Russian society. …”
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Pig Detection Algorithm Based on Sliding Windows and PCA Convolution by Longqing Sun, Yan Liu, Shuaihua Chen, Bing Luo, Yiyang Li, Chunhong Liu

“…A two-level support vector machine model was trained to calculate the probabilities of sliding windows by using gradient and gray distribution features of pigs. The principal component analysis convolution kernels were trained to extract foreground and background features of pig images. …”
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Language Changes in Late-Onset Alzheimer’s Disease by Eda Can, Gülmira Kuruoğlu

“…The features of language can be different depending on the onset of AD. …”
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RJAN: Region‐based joint attention network for 3D shape recognition by Yue Zhao, Weizhi Nie, Jie Nie, Yuyi Zhang, Bo Wang

“…Typical methods usually extract the multiview global features and aggregate them together to generate 3D shape descriptors. …”
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Edge-aware transformer for coastal raft aquaculture extraction in optical remote sensing imagery by Hua Su, Yuxin Liu, Zhanchao Huang, An Wang, Wenjun Hong, Junchao Cai

“…For the boundary adhesion problems caused by the dense distribution of raft aquaculture areas, a Feature Alignment Module (FAM) was developed to enhance edge-aware ability. …”
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Elevator Running Fault Monitoring Method Based on Vibration Signal by Mingxing Jia, Xiongfei Gao, Hongru Li, Hali Pang

“…According to the one-dimensional characteristics of the vibration signal, this paper proposes an elevator operation fault monitoring method based on one-dimensional convolutional neural network (1-DCNN). It can solve the problems of traditional elevator fault monitoring methods that require complex feature extraction processes and a large amount of diagnostic experience. …”
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Advancing multi-categorization and segmentation in brain tumors using novel efficient deep learning approaches by Nadenlla RajamohanReddy, G. Muneeswari

“…For this purpose, we utilized Enhanced Res2Net to extract the essential features. Using the Binary Chaotic Transient Search Optimization (BCTSO) Algorithm, the most pertinent features in terms of shape, texture, and colour are chosen to minimize complexity. …”
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An Efficient 3D Model Retrieval Method Based on Convolutional Neural Network by Bo Ding, Lei Tang, Yong-jun He

“…In the index building stage, 3D models in library are projected to generate a large number of views, and then representative views are selected and input into a well-learned convolutional neural network (CNN) to extract features. Next, the features are organized according to their labels to build indexes. …”
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