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81

Maize Kernel Batch Counting System Based on YOLOv8-ByteTrack.
Li, Ran ; Liu, Qiming ; Wang, Miao ; et al.
Sensors (14248220); Sep2025, Vol. 25 Issue 17, p5584, 19p

DEEP learning OBJECT tracking (Compute... OBJECT recognition (Comp... CORN CROP yields AGRICULTURAL engineering
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82

A Deep Learning-Based Approach for Hand Sign Recognition Using CNN Architecture.
Parashar, Deepak ; Thakur, Sudhanshu ; Raju, Kachapuram Basava ; et al.
Revue d'Intelligence Artificielle; Aug2023, Vol. 37 Issue 4, p937-943, 7p

CONVOLUTIONAL neural net... DEEP learning COMPUTER vision HUMAN-computer interacti... SIGN language VIRTUAL reality
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83

Oceanic mesoscale eddy detection and convolutional neural network complexity
Santana, Oliverio J. ; Hernández-Sosa, Daniel ; Smith, Ryan N.
In International Journal of Applied Earth Observation and Geoinformation September 2022 113

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85

Smart surveillance: violence and vandalism detection using Artificial Intelligence
Ribeiro, Tiago Fernandes ; Novais, Paulo ; Rodrigues, Manuel ; et al.
urn:tid:203970462

Artificial Intelligence Violence detection Computer vision Smart cities Inteligência Artificial Deteção de violência …
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86

On the Minimum Dataset Requirements for Fine-Tuning an Object Detector for Arable Crop Plant Counting: A Case Study on Maize Seedlings.
Bumbaca, Samuele ; Borgogno-Mondino, Enrico
Remote Sensing; Jul2025, Vol. 17 Issue 13, p2190, 28p

CORN seedlings PRECISION farming OBJECT recognition (Comp... DATA integrity SAMPLING methods COMPUTER vision …
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87

SMD-YOLO: An efficient and lightweight detection method for mask wearing status during the COVID-19 pandemic
Han, Zhenggong ; Huang, Haisong ; Fan, Qingsong ; et al.
In Computer Methods and Programs in Biomedicine June 2022 221

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88

An efficient Real-Time Driver Drowsiness Monitoring System by Using Ensembled Regression Trees.
Srilatha, N. ; Reddy, V. Lokeswara
International Journal of Environmental Sciences (2229-7359); 2025, Vol. 11 Issue 6, p1071-1081, 11p

DROWSINESS REGRESSION trees TRAFFIC safety COMPUTER vision VIGILANCE (Psychology)
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89

A Multi-Scale CNN-BiLSTM Framework with An Attention Mechanism for Interpretable Structural Damage Detection.
Wu, Shengping ; Liu, Jingliang
Infrastructures; Apr2025, Vol. 10 Issue 4, p82, 17p

LONG short-term memory STRUCTURAL health monito... CONVOLUTIONAL neural net... COMPUTER vision INFRASTRUCTURE (Economic...
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90

Mounting Angle Prediction for Automotive Radar Using Complex-Valued Convolutional Neural Network.
Moon, Sunghoon ; Kim, Younglok
Sensors (14248220); Jan2025, Vol. 25 Issue 2, p353, 19p

CONVOLUTIONAL neural net... ROAD vehicle radar OBJECT recognition (Comp... DEEP learning SYSTEM safety TRACKING radar
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91

Intelligent image recognition using lightweight convolutional neural networks model in edge computing environment.
Qiu, Lingling
Journal of Computational Methods in Sciences & Engineering; 2024, Vol. 24 Issue 3, p1457-1471, 15p

ARTIFICIAL neural networ... CONVOLUTIONAL neural net... EDGE computing IMAGE recognition (Compu... DEEP learning CLOUD computing
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92

Automated Coffee Roast Level Classification Using Machine Learning and Deep Learning Models.
Rivas, René Ernesto García ; Bertarini, Pedro Luiz Lima ; Fernandes, Henrique
Journal of Food Science (John Wiley & Sons, Inc.); Sep2025, Vol. 90 Issue 9, p1-11, 11p

MACHINE learning DEEP learning COFFEE QUALITY control CONVOLUTIONAL neural net... IMAGE analysis …
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93

COMPARISON OF QUANTUM DEEP LEARNING METHODS FOR IMAGE CLASSIFICATION.
KATİ, Bekir Eray ; KÜÇÜKSİLLE, Ecir Uğur ; SARIMAN, Güncel
SDU Journal of Engineering Sciences & Design / Mühendislik Bilimleri ve Tasarım Dergisi; Mar2025, Vol. 13 Issue 1, p90-106, 17p

TRANSFORMER models IMAGE recognition (Compu... CONVOLUTIONAL neural net... BLENDED learning FEATURE extraction DEEP learning …
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94

Object detection in unfavourable weather conditions using CNN-diffusion neural networks
Madhan, K. ; Shanmugapriya, N.
Signal, Image and Video Processing. 19(7)

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95

Improved Vehicle Detection Using Weather Classification and Faster R-CNN with Dark Channel Prior.
Tian, Ershang ; Kim, Juntae
Electronics (2079-9292); Jul2023, Vol. 12 Issue 14, p3022, 10p

OBJECT recognition (Comp... IMAGE recognition (Compu... ARTIFICIAL intelligence DEEP learning RAINFALL
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96

A multi-branch convolutional neural network with density map for aphid counting
Li, Rui ; Wang, Rujing ; Xie, Chengjun ; et al.
In Biosystems Engineering January 2022 213:148-161

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97

Advancing Road Safety: A Comprehensive Evaluation of Object Detection Models for Commercial Driver Monitoring Systems.
Zia, Huma ; Hassan, Imtiaz ul ; Khurram, Muhammad ; et al.
Future Transportation; Mar2025, Vol. 5 Issue 1, p2, 18p

OBJECT recognition (Comp... COMPUTER vision TRANSPORTATION safety me... DEEP learning WELL-being ROAD safety measures
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98

DOG BREED CLASSIFICATION USING TRANSFER LEARNING.
P., GOPIKA ; M., MUTHULAKSHMI ; A., NIVETHA ; et al.
International Scientific Journal of Engineering & Management; Dec2024, Vol. 3 Issue 12, p1-3, 3p

MACHINE learning CONVOLUTIONAL neural net... DOG breeds COMPUTER vision DEEP learning
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99

Gelişmiş Deniz Gözlemi: SAR Tabanlı Gemi Tespiti için CNN Algoritmalarının Kullanımı. (Turkish)
Şenol, Halil İbrahim
Turkey Lidar Journal / Türkiye Lidar Dergisi; Jun2023, Vol. 5 Issue 1, p1-7, 7p

SYNTHETIC aperture radar OBJECT recognition (Comp... MARITIME shipping SPATIAL resolution REMOTE sensing DEEP learning
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100

Image super-resolution using a dilated convolutional neural network
Lin, Guimin ; Wu, Qingxiang ; Qiu, Lida ; et al.
In Neurocomputing 31 January 2018 275:1219-1230

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