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4301
A Small-Sample Target Detection Method for Transmission Line Hill Fires Based on Meta-Learning YOLOv11
Published 2025-03-01“…After this, the re-weighting module learns class-specific re-weighting vectors from the support set samples and uses them to recalibrate the mapping of meta-features. …”
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4302
Zero-Shot Learning for Accurate Project Duration Prediction in Crowdsourcing Software Development
Published 2024-10-01“…Utilizing historical data from TopCoder, the proposed method extracts pertinent project attributes and preprocesses textual data through Natural Language Processing (NLP). Bidirectional Encoder Representations from Transformers (BERT) are employed to convert textual information into vectors, which are then analyzed using various machine learning algorithms. …”
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4303
Development of a Lentiviral Reporter System for In Vitro Reprogramming of Astrocytes to Neuronal Precursors
Published 2025-07-01“…Our data suggest that OSK-mediated reprogramming in this in vitro model can initiate conversion of astrocytes to neuronal precursor-like cells, although the process is complex and incomplete within the one-week timeframe. …”
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4304
Rheological properties of superparamagnetic iron oxide nanoparticles
Published 2021-08-01“…These results suggest that these nanoparticles are promising candidates with appropriate properties for fluid processing applications and drug vectors in biomedical applications.…”
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4305
Three-dimensional reconstruction and structural surface identification of high steep slopes based on UAV close-range photogrammetry
Published 2025-02-01“…Using Zengziyan in Nanchuan, Chongqing as a case study, the process begins with acquiring high-definition aerial photographs through UAV close-range and supplemental route photogrammetry. …”
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4306
EmoNet: Deep Attentional Recurrent CNN for X (Formerly Twitter) Emotion Classification
Published 2025-01-01“…EmoNet utilizes an AttentionEmbedder module to generate query, key, and value vectors, which are then processed through an attention layer to compute weighted representations. …”
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4307
Research on the quantification and automatic classification method of Chinese cabbage plant type based on point cloud data and PointNet++
Published 2025-01-01“…Finally, we combined 1024 feature vectors with 10 custom dimensionless features and used the optimized PointNet++ model for supervised learning to achieve the automatic classification of Chinese cabbage plant types. …”
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4308
INNSE: Invertible neural network-based DNA image storage with self-correction encoding
Published 2025-01-01“…A codebook generator was then designed to encode low-dimensional vectors into DNA sequences that meet various constraints. …”
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4309
Cell-derived biomimetic drug delivery system for inflammatory bowel disease therapy
Published 2024-12-01“…However, traditional synthetic nanomaterials still have some problems in the IBD drug delivery process, such as weak targeting ability of vectors, difficulty escaping immune surveillance, and poor biosecurity. …”
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4310
Alignment-free viral sequence classification at scale
Published 2025-04-01“…Results We employed six established AF techniques to extract feature vectors from viral genomes, which were subsequently used to train Random Forest classifiers. …”
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4311
Automated Tunnel Point Cloud Segmentation and Extraction Method
Published 2025-03-01“…By using a sliding window, it effectively distinguishes between curved and straight sections of long tunnels while removing non-tunnel structural point clouds with normal vectors, thereby enhancing the lining boundary features and significantly improving the automation level of tunnel processing. …”
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4312
M2Caps: learning multi-modal capsules of optical and SAR images for land cover classification
Published 2025-08-01“…The multi-modal capsules learning module models high-level semantic information and abstract relationships across diverse remote sensing images (RSIs) modalities as vectors, thereby facilitating the induction of joint multi-modal features with high discriminability and robustness. …”
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4313
Transovarial transmission of Rickettsia spp., Francisella-like endosymbionts, and Spiroplasma spp. in Dermacentor reticulatus ticks
Published 2024-11-01“…Research on the transovarial transmission of pathogens whose reservoirs and vectors are ticks has led to an understanding of the mechanisms related to the circulation and persistence of selected microorganisms in natural foci. …”
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4314
Model Sistem Pendukung Keputusan Kelompok untuk Penilaian Gangguan Depresii, Kecemasan dan Stress Berdasarkan DASS-42
Published 2020-02-01“…Preferensi diberikan dengan format ordered vectors. Untuk memudahkan proses agregasi/komposisi, selanjutnya dilakukan transformasi preferensi ke relasi preferensi fuzzy. …”
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4315
Rock fracture type recognition based on deep feature learning of microseismic signals
Published 2025-03-01“…The extracted deep feature vectors were subsequently fed into an optimized LightGBM classifier (HBL-LightGBM), which was modified with a Hinge Loss function to improve classification performance. …”
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4316
BRICS in International Legal Space: Humanitarian Imperatives of International Security
Published 2021-04-01“…The article is devoted to the examination of the formation of new vectors for international relations development within the global format of cooperation. …”
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4317
Systematic review on the zoonotic potential of Helicobacter pylori
Published 2025-07-01“…Furthermore, farm animals have been identified as potential vectors through direct contact with heavily contaminated environments. …”
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4318
Immune Cell Targets of Infection at the Tick-Skin Interface during Powassan Virus Transmission.
Published 2016-01-01“…Ixodes ticks are the vectors for POWV, and the virus is transmitted to a host's skin very early during the tick feeding process. …”
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4319
Self-Supervised Feature Disentanglement for Deepfake Detection
Published 2025-06-01“…The core method comprises three key components: self-supervised sample construction and training samples for feature disentanglement, which are generated via an image self-mixing mechanism; feature disentanglement network, where the input image is decomposed into two parts—content features irrelevant to forgery and discriminative forgery-related features; and conditional decoder verification, where both types of features are used to reconstruct the image, with forgery-related features serving as conditional vectors to guide the reconstruction process. Orthogonal constraints on features are enforced to mitigate the overfitting problem in traditional methods. …”
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4320
Generative Image Steganography via Encoding Pose Keypoints
Published 2024-12-01“…Existing generative image steganography methods typically encode secret information into latent vectors, which are transformed into the entangled features of generated images. …”
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