Depression detection based on dual path DCGAN data generation and classification-regression network by LU Jingxue, LI Hongyan, ZHENG Ruichao, QIN Ruizhen

“…The existing research on voice-based depression detection has many problems, such as complicated feature extraction, single data expansion and uncontrollable prediction bias in regression prediction. …”
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Stability of multispan rods by L. A. Baragunova, M. M. Shogenova

“…The use of the finite difference method is a feature in solving systems of equations in problems with boundary conditions.Result. …”
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Des talus pleins les yeux by Denis Delbaere, Sabine Ehrmann

“…Because of its scale, the representation of the landscape always poses daunting problems. These problems are greater in the case of urban fringes due to their indeterminate nature, the dilution of their limits and the vagueness of their territorial status in the spatial perception of societies. …”
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Parametric matrix models by Patrick Cook, Danny Jammooa, Morten Hjorth-Jensen, Daniel D. Lee, Dean Lee

“…Similar to how physics problems are usually solved, parametric matrix models learn the governing equations that lead to the desired outputs. …”
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Automated stringed robotechnical complex as a prospective method for monitoring of objects’safety and state border areas by D. V. Нansetski

“…An innovative project to create a prototype of a multifunctional mobile automated stringed robotic complex is announced. A distinctive feature of the project is the mobility in relocation and the maximum use of artificial intelligence to solve problems of ensuring the security of a protected object or territory.…”
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MOBILE WEB-APPLICATION ARCHITECTURE CONCEPT FOR VIBRATIONAL SIGNALS PROCESSING by V. E. Bazarevsky

“…The way to monethize mobile web applications on the basis of PhoneGAP plug-in feature are proposed.…”
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ACCURACY ANALYSIS OF THE GRADIENT BOOSTING METHOD WITH RANDOM ROTATIONS by Victor V. Kitov

“…Gradient boosting method with random rotations is considered, where before training each base learner random rotation is applied to the feature space. The accuracy metric of the given method is estimated for a broad range of generated problems of binary classification. …”
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Prerequisites and consequences of modern financial policy of the Government of the Russian Federation by S. A. Krutien

“…In the article the feature of financial policy which is carried out at this stage in the Russian Federation are considered. …”
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High-throughput quantum photonic devices emitting indistinguishable photons in the telecom C-band by Paweł Holewa, Daniel A. Vajner, Emilia Zięba-Ostój, Maja Wasiluk, Benedek Gaál, Aurimas Sakanas, Marek G. Mikulicz, Paweł Mrowiński, Bartosz Krajnik, Meng Xiong, Kresten Yvind, Niels Gregersen, Anna Musiał, Alexander Huck, Tobias Heindel, Marcin Syperek, Elizaveta Semenova

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Remote Sensing Image Change Captioning Using Multi-Attentive Network with Diffusion Model by Yue Yang, Tie Liu, Ying Pu, Liangchen Liu, Qijun Zhao, Qun Wan

“…Specifically, we introduce a diffusion feature extractor based on RS image dataset pre-trained diffusion model to capture the multi-level and multi-time-step feature representations of bitemporal RS images. …”
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Machine learning prediction of coal workers’ pneumoconiosis classification based on few-shot clinical data by Jiaqi Jia, Jingying Huang, Yuming Cui, Dekun Zhang, Haiquan Li, Songquan Wang, Wenlu Hang

“…The proposed integrated feature selection method, which considered both the importance and independence of features, significantly enhanced model performance, providing a valuable tool for early screening and diagnosis of CWP.…”
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Bolt Anchorage Quality Levels Classification Method Based on HO‐VMD‐CNN‐BiLSTM by Fan Kesong, Zhang Can, Liu Shaowei, Feng Mengyin, Yan Ao, Fu Mengxiong, He Deyin, Nie Zhibin

“…Traditional detection methods are confronted with problems such as serious signal noise interference, low detection accuracy, and poor real‐time performance. …”
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Research on Lightweight Method of Insulator Target Detection Based on Improved SSD by Bing Zeng, Yu Zhou, Dilin He, Zhihao Zhou, Shitao Hao, Kexin Yi, Zhilong Li, Wenhua Zhang, Yunmin Xie

“…A Feature Pyramid structure and Feature Pyramid Network (FPN+PAN) are integrated into the Neck part and a Simplified Spatial Pyramid Pooling Fast (SimSPPF) module is introduced to realize the integration of local features and global features. …”
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Vibration area localization and event recognition for underground power optical cable in multiple laying scenarios based on deep learning by Wanchang Jiang, Chunzhen Li, Wenlong Zhang, Chunying Xie

“…PGSD-YOLO combines the YOLOv11 with the multi-scale attention of PMSAM to enhance the feature extraction ability. Through the dynamic sampling strategy of DySample, the information loss of signals is reduced, and GSConv and VoVGSCSP are used to optimize feature fusion. …”
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FoT: an efficient transformer framework for real-time small object detection in football videos by Wentao Zhang, Yaocong Yang

“…Specifically, LIAU reduces the self-attention computation complexity from $$O(N^2)$$ to O(N) through feature aggregation within local windows and a window offset mechanism. …”
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A Graph Convolutional Network Framework for Area Attention and Tracking Compensation of In-Orbit Satellite by Shuai Wang, Ruoke Wu, Yizhi Jiang, Xiaoqiang Di, Yining Mu, Guanyu Wen, Makram Ibrahim, Jinqing Li

“…In order to solve the problems of low tracking accuracy of in-orbit satellites by ground stations and slow processing speed of satellite target tracking images, this paper proposes an orbital satellite regional tracking and prediction model based on graph convolutional networks (GCNs). …”
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PFW-YOLO Lightweight Helmet Detection Algorithm by Yue Hong, Hao Wang, Shuo Guo

“…Firstly, a multi-scale feature fusion module is designed to reconstruct the Bottleneck structure in C2f, which finally forms the C2f-PMSFF module to enhance the feature expression ability of the model and optimize the computational efficiency. …”
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Infrared object detection for robot vision based on multiple focus diffusion and task interaction alignment by Jixu Zhang, Li Wang, Hung-Wei Li, Meng-Yen Hsieh, Shunxiang Zhang, Hua Wen, Meng Chen

“…The feature extraction module adopts a dual-stream fusion structure in the backbone network, which combines the local feature extraction of CNN with the global feature modeling of transformer. …”
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Semantic Segmentation of Corn Leaf Blotch Disease Images Based on U-Net Integrated with RFB Structure and Dual Attention Mechanism by Ye Mu, Ke Li, Yu Sun, Yu Bao

“…By introducing a convolutional layer and maximum pooling layer to a VGG19 network, the channel attention module and spatial attention module (CBAM) are fused, and the squeeze excitation (SE) attention mechanism is combined. This enhances image feature decoding, integrates feature maps of each layer, strengthens the feature extraction process, expands the sensory fields and aggregates context information, and reduces the loss of location and dense semantic information caused by the pooling operation. …”
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Detecting subsurface diseases on airport road surface based on an improved SSD algorithm. by Mengmeng Pan, Huiguang Chen, Lipeng Yang, XianRong Jiang

“…We analyze and propose an improved algorithm EFA-SSD (Enhanced Feature Aggregation SSD) for automatic detection of airport road subsurface diseases, which solves the problems of strong noise background conditions, severe interference of morphological features of different types of subsurface diseases, and low target recognition. …”
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