Results 11 to 20 of about 21,309 (269)
Low hybrid onion seed yields relate to honey bee visits and insecticide use
California Agriculture, 2011 Onion thrips, previously considered of minor importance to hybrid onion seed production in California, vector the newly introduced iris yellow spot virus, a serious pathogen of onions that can cause significant yield losses.
Rachael Long, Lora Morandin
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Towards Human Action Recognition during Surgeries using De-identified Video Data
Current Directions in Biomedical Engineering, 2022 With the progress of technology in modern hospitals, an intelligent perioperative situation recognition will gain more relevance due to its potential to substantially improve surgical workflows by providing situation knowledge in real-time.
Nam Bach Thanh +3 more
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Optical Camera Communications and Machine Learning for Indoor Visible Light Positioning
U.Porto Journal of Engineering, 2023 The potential of VLP is increasing with the rise of indoor mobile machine applications. In this paper, a 3D indoor VLP system based on machine learning and optical camera communications is presented.
Celso Pereira
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Agro-environmental partnerships facilitate sustainable wine-grape production and assessment
California Agriculture, 2008 The California wine-grape sector has invested considerable time, money and effort in collective enterprises to reach fellow growers and assess the industry as a whole on sustain-ability.
Janet Broome, Keith Douglass Warner
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African Evaluation Journal, 2020 Background: Conducting evaluations in South Africa has become a common government practice because of the rise in demand for evidence-based policymaking.
Hlali K. Kgaphola, Christel Jacob
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Real Time Deep Learning Model for Food Item Identification and Recipe Data Generation [PDF]
BIO Web of ConferencesAccurate and fast identification of various food items can be very useful, in terms of preventing harm caused by allergies and other problems. In this work, an attempt is made to classify food items from real-world images with great accuracy and in real ...
Ralhan Sanshruth +2 more
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CLOTH BAG OBJECT DETECTION USING THE YOLO ALGORITHM (YOU ONLY SEE ONCE) V5
Pilar Nusa Mandiri, 2023 The use of plastic in modern life is increasing rapidly, causing the number of people who use plastic to increase, one of which is when shopping. The function of plastic bags as packaging for luggage is not comparable to the impact caused by plastic ...
Rizki Hesananda +2 more
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Sistem Inspeksi Cacat pada Permukaan Kayu menggunakan Model Deteksi Obyek YOLOv5
Jurnal Elkomika, 2022 ABSTRAK Permukaan kayu mengalami berbagai serangan serangga dan jamur, sehingga dapat menyebabkan cacat seperti pembusukan pada kayu yang berpengaruh terhadap kualitas dan harga jual kayu tersebut.
FITYANUL AKHYAR +2 more
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YOLO-G: Improved YOLO for cross-domain object detection
PLOS ONE, 2023 Cross-domain object detection is a key problem in the research of intelligent detection models. Different from lots of improved algorithms based on two-stage detection models, we try another way. A simple and efficient one-stage model is introduced in this paper, comprehensively considering the inference efficiency and detection precision, and ...
Jian Wei, Qinzhao Wang, Zixu Zhao
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Video-Based Facial Emotion Recognition using YOLO and Vision Transformer [PDF]
EPJ Web of ConferencesThis paper presents a video-based FER approach using a combination of the YOLOv8 model for face detection and a pre-trained Vision Transformer (ViT) for emotion classification. Our methodology involves extracting the middle frame from the RAVDESS dataset,
Sareen Vidhi, Seeja K.R.
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