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101

基于 PBM-YOLOv8 的水稻病虫害检测. (Chinese)
刘鹏 ; 张天翼 ; 冉鑫 ; et al.
Transactions of the Chinese Society of Agricultural Engineering; Oct2024, Vol. 40 Issue 20, p147-156, 10p

RICE diseases & pests AGRICULTURAL productivit... DEEP learning IMAGE recognition (Compu... SAMPLE size (Statistics)
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102

Human-machine interactions based on hand gesture recognition using deep learning methods.
Zholshiyeva, Lazzat ; Manbetova, Zhanat ; Kaibassova, Dinara ; et al.
International Journal of Electrical & Computer Engineering (2088-8708); Feb2024, Vol. 14 Issue 1, p741-748, 8p

RECURRENT neural network... CONVOLUTIONAL neural net... COMPUTER vision COMPUTERS ELECTRONIC equipment DEEP learning
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103

Automated weed monitoring and control: enhancing detection accuracy using a YOLOv7-AlexNet fusion network
Muhammad Faizan Zeb ; Abid Iqbal ; Ghassan Husnain ; et al.
Frontiers in Plant Science, Vol 16 (2025)

deep learning YOLOv7 AlexNet architecture precision agriculture weed detection & classif... Plant culture …
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104

风机叶片表面缺陷的小样本检测方法. (Chinese)
丁 博 ; 王 涛 ; 张 颖 ; et al.
Journal of Harbin University of Science & Technology; Jun2025, Vol. 30 Issue 3, p50-57, 8p

WIND turbine blades DEEP learning OBJECT recognition (Comp... FEATURE extraction DEFECT tracking (Compute... MACHINE learning
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105

Predicting neural network confidence using high-level feature distance.
Wang, Jie ; Ai, Jun ; Lu, Minyan ; et al.
Information & Software Technology. Jul2023, Vol. 159, pN.PAG-N.PAG. 1p.

DEEP learning IMAGE recognition (Compu... CONVOLUTIONAL neural net...
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106

RESEARCH ON THE STATE OF AREAS IN UKRAINE AFFECTED BY MILITARY ACTIONS BASED ON REMOTE SENSING DATA AND DEEP LEARNING ARCHITECTURES.
PUSHKARENKO, Yurii ; ZASLAVSKYI, Volodymyr
Radioelectronic & Computer Systems / Radìoelektronnì ì Komp'ûternì Sistemi; 2024, Issue 2, p5-18, 14p

REMOTE sensing DEEP learning COMPUTER vision CONVOLUTIONAL neural net... SYNTHETIC aperture radar
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107

Deep Learning-Based Classification of Skin Lesions: Enhancing Melanoma Detection through Automated Preprocessing and Data Augmentation.
Abir, Shake Ibna ; Shoha, Shaharina ; Hossain, Md Miraj ; et al.
Journal of Computer Science & Technology Studies; Nov/Dec2024, Vol. 6 Issue 5, p152-165, 16p

CONVOLUTIONAL neural net... IMAGE recognition (Compu... DEEP learning DATA augmentation NOISE control
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108

Harnessing quantum power using hybrid quantum deep neural network for advanced image taxonomy.
Kiran, Ajmeera ; Rao, TDNSS. Sarveswara ; Gopatoti, Anandbabu ; et al.
Optical & Quantum Electronics; Apr2024, Vol. 56 Issue 4, p1-16, 16p

ARTIFICIAL neural networ... CONVOLUTIONAL neural net... DEEP learning IMAGE recognition (Compu... HYBRID power QUANTUM computing
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109

Explainable few-shot learning workflow for detecting invasive and exotic tree species.
Gevaert, Caroline M. ; Aguiar Pedro, Alexandra ; Ku, Ou ; et al.
Scientific Reports; 7/2/2025, Vol. 15 Issue 1, p1-12, 12p

ARTIFICIAL neural networ... MACHINE learning OBJECT recognition (Comp... ARTIFICIAL intelligence FOREST management
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110

Ultra Power-Efficient CNN Domain Specific Accelerator with 9.3TOPS/Watt for Mobile and Embedded Applications
Wenhan Zhang ; Patrick Z. Dong ; Lin Yang ; et al.
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). :1758-17588

FOS: Computer and inform... Computer Science - Machi... Statistics - Machine Lea... Computer Vision and Patt... 8. Economic growth Computer Science - Compu... …
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111

H-QNN: A Hybrid Quantum–Classical Neural Network for Improved Binary Image Classification.
Hafeez, Muhammad Asfand ; Munir, Arslan ; Ullah, Hayat
AI; Sep2024, Vol. 5 Issue 3, p1462-1481, 20p

IMAGE recognition (Compu... CONVOLUTIONAL neural net... QUANTUM computing IMAGE retrieval QUBITS DEEP learning
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112

A Survey on Image Semantic Segmentation Using Deep Learning Techniques.
Jieren Cheng ; Hua Li ; Dengbo Li ; et al.
Computers, Materials & Continua; 2023, Vol. 75 Issue 1, p1941-1957, 18p

DEEP learning IMAGE segmentation COMPUTER vision IMAGE analysis CONVOLUTIONAL neural net... AUGMENTED reality …
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113

OneN: Guided attention for natively-explainable anomaly detection.
Coscia, Pasquale ; Genovese, Angelo ; Piuri, Vincenzo ; et al.
Image & Vision Computing. Nov2025, Vol. 163, pN.PAG-N.PAG. 1p.

COMPUTER vision ANOMALY detection (Compu... ARTIFICIAL intelligence INDUSTRIAL applications DEEP learning CLASSIFICATION …
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114

Enhancing Microcalcification Detection in Mammography with YOLO-v8 Performance and Clinical Implications.
Shia, Wei-Chung ; Ku, Tien-Hsiung
Diagnostics (2075-4418); Dec2024, Vol. 14 Issue 24, p2875, 15p

OBJECT recognition (Comp... CALCIFICATIONS of the br... DETECTION algorithms DEEP learning DISEASE management
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115

Open-Set Learning-Based Hologram Verification System Using Generative Adversarial Networks
Betul Ay
IEEE Access, Vol 10, Pp 25114-25124 (2022)

Deep learning generative adversarial n... convolutional neural net... image classification computer vision Electrical engineering.... …
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116

Socializing AI: Integrating Social Network Analysis and Deep Learning for Precision Dairy Cow Monitoring—A Critical Review
Sibi Chakravathy Parivendan ; Kashfia Sailunaz ; Suresh Neethirajan
Animals, Vol 15, Iss 13, p 1835 (2025)

dairy monitoring social network analysis precision livestock farm... computer vision deep learning cattle identification …
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117

D 2 -SPDM: Faster R-CNN-Based Defect Detection and Surface Pixel Defect Mapping with Label Enhancement in Steel Manufacturing Processes.
Wi, Taewook ; Yang, Minyeol ; Park, Suyeon ; et al.
Applied Sciences (2076-3417); Nov2024, Vol. 14 Issue 21, p9836, 20p

STEEL manufacture OBJECT recognition (Comp... CONVOLUTIONAL neural net... MANUFACTURING defects MANUFACTURING processes
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118

FERDCNN: an efficient method for facial expression recognition through deep convolutional neural networks.
Rashad, Metwally ; Alebiary, Doaa ; Aldawsari, Mohammed ; et al.
PeerJ Computer Science; Oct2024, p1-19, 19p

CONVOLUTIONAL neural net... COMPUTER vision FACIAL expression DATABASES SUPPORT vector machines DEEP learning
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119

A Review of Intrusion Detection for Railway Perimeter Using Deep Learning-Based Methods
Jin Wang ; Hongyang Zhai ; Yang Yang ; et al.
IEEE Access, Vol 12, Pp 184142-184157 (2024)

Railway semantic segmentation object detection foreign object intrusion railway safety Electrical engineering.... …
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120

Optimizing Plant Disease Classification with Hybrid Convolutional Neural Network–Recurrent Neural Network and Liquid Time-Constant Network.
Le, An Thanh ; Shakiba, Masoud ; Ardekani, Iman ; et al.
Applied Sciences (2076-3417); Oct2024, Vol. 14 Issue 19, p9118, 24p

CONVOLUTIONAL neural net... IMAGE recognition (Compu... SUSTAINABLE agriculture PLANT diseases DEEP learning
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