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Academic Journal

A tailored deep learning approach for early detection of oral cancer using a 19-layer CNN on clinical lip and tongue images.

  • Authors : Liu P; School of Computer Engineering, Guangzhou Huali College, Guangzhou, 511325, Guangdong, China. .; Bagi K

Subjects: Deep Learning* ; Mouth Neoplasms*/Mouth Neoplasms*/Mouth Neoplasms*/diagnosis ; Mouth Neoplasms*/Mouth Neoplasms*/Mouth Neoplasms*/diagnostic imaging

  • Source: Scientific reports [Sci Rep] 2025 Jul 04; Vol. 15 (1), pp. 23851. Date of Electronic Publication: 2025 Jul 04.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Academic Journal

A multimodal transformer-based visual question answering method integrating local and global information.

  • Authors : Huang C; Jinan University-University of Birmingham Joint Institute, Guangzhou, RP China.; Hu Z

Subjects: Visual Perception*; Humans ; Language

  • Source: PloS one [PLoS One] 2025 Jul 02; Vol. 20 (7), pp. e0324757. Date of Electronic Publication: 2025 Jul 02 (Print Publication: 2025).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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Academic Journal

Identification of fresh leaves of Anji White Tea: S-YOLOv10-ASI algorithm fusing asymptotic feature pyra-mid network.

  • Authors : Yang C; College of Mechanical and Electrical Engineering, Wuhan Donghu College, Wuhan, China.; College of Tea Science, Yunnan Agricultural University, Kunming, China.

Subjects: Algorithms* ; Plant Leaves* ; Tea*/Tea*/Tea*/classification

  • Source: PloS one [PLoS One] 2025 Jul 02; Vol. 20 (7), pp. e0325527. Date of Electronic Publication: 2025 Jul 02 (Print Publication: 2025).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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Academic Journal

Enhancing IDS for the IoMT based on advanced features selection and deep learning methods to increase the model trustworthiness.

  • Authors : Alnasrallah AM; Faculty of Education for Pure Sciences, University of Thi-Qar, Nasiriyah, Iraq.; Siraj MM

Subjects: Deep Learning* ; Internet of Things*; Humans

  • Source: PloS one [PLoS One] 2025 Jul 02; Vol. 20 (7), pp. e0327137. Date of Electronic Publication: 2025 Jul 02 (Print Publication: 2025).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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Academic Journal

Towards real-world monitoring scenarios: An improved point prediction method for crowd counting based on contrastive learning.

  • Authors : Cao R; China Tower Corporation Limited, Beijing, China.; Yu J

Subjects: Crowding* ; Machine Learning*; Neural Networks, Computer

  • Source: PloS one [PLoS One] 2025 Jul 02; Vol. 20 (7), pp. e0327397. Date of Electronic Publication: 2025 Jul 02 (Print Publication: 2025).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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Academic Journal

Few-shot network intrusion detection method based on multi-domain fusion and cross-attention.

  • Authors : Xu C; School of Electrical and Information Engineering, Tianjin University, Tianjin, China.; College of Artificial Intelligence, Jiaxing University, Jiaxing, Zhejiang, China.

Subjects: Deep Learning*; Algorithms ; Neural Networks, Computer

  • Source: PloS one [PLoS One] 2025 Jul 02; Vol. 20 (7), pp. e0327161. Date of Electronic Publication: 2025 Jul 02 (Print Publication: 2025).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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Academic Journal

An optimized domain-specific shrimp detection architecture integrating conditional GAN and weighted ensemble learning.

  • Authors : Kumar LR; Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, 522302, India.; Tata RK

Subjects: Deep Learning* ; Image Processing, Computer-Assisted*/Image Processing, Computer-Assisted*/Image Processing, Computer-Assisted*/methods ; Penaeidae*

  • Source: Scientific reports [Sci Rep] 2025 Jul 02; Vol. 15 (1), pp. 22549. Date of Electronic Publication: 2025 Jul 02.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Academic Journal

Monitoring and predicting cotton leaf diseases using deep learning approaches and mathematical models.

  • Authors : Rehman A; Faculty of Computing Science, The Islamia University of Bahawalpur, Bahawalpur, Pakistan. .; Akhtar N

Subjects: Deep Learning* ; Plant Diseases*/Plant Diseases*/Plant Diseases*/microbiology ; Gossypium*/Gossypium*/Gossypium*/microbiology

  • Source: Scientific reports [Sci Rep] 2025 Jul 02; Vol. 15 (1), pp. 22570. Date of Electronic Publication: 2025 Jul 02.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Academic Journal

A dual encoder network with multiscale feature fusion and multiple pooling channel spatial attention for skin scar image segmentation.

  • Authors : Yang W; Hangzhou Plastic Surgery Hospital, Hangzhou, 310020, China.; Wang X

Subjects: Cicatrix*/Cicatrix*/Cicatrix*/diagnostic imaging ; Cicatrix*/Cicatrix*/Cicatrix*/pathology ; Skin*/Skin*/Skin*/diagnostic imaging

  • Source: Scientific reports [Sci Rep] 2025 Jul 02; Vol. 15 (1), pp. 22810. Date of Electronic Publication: 2025 Jul 02.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Academic Journal

Multi-scale fusion semantic enhancement network for medical image segmentation.

  • Authors : Zhang Z; School of Integrated Circuits, Anhui University, HeFei, 230601, China.; Anhui Engineering Laboratory of Agro-Ecological Big Data, HeFei, 230601, China.

Subjects: Image Processing, Computer-Assisted*/Image Processing, Computer-Assisted*/Image Processing, Computer-Assisted*/methods ; Neural Networks, Computer*; Humans

  • Source: Scientific reports [Sci Rep] 2025 Jul 02; Vol. 15 (1), pp. 23018. Date of Electronic Publication: 2025 Jul 02.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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  • 1-10 of  55,000 results for ""Neural Networks, Computer""