Titlebook: Computational Vision and Bio-Inspired Computing; Proceedings of ICCVB S. Smys,João Manuel R. S. Tavares,Fuqian Shi Conference proceedings 2

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lacrimal-gland

SIT

Tommaso Flaminio,Lluis Godo,Hykel Hosninsformer outperform MobileNet using the RAVDESS dataset. We achieved an accuracy of 92% on vision transformer, 91% on SWIN transformer, and 86% on MobileNet when tested on the RAVDESS dataset. The proposed robust emotion recognition system also enables shorter training and testing times, which is ideal for various applications.

Onerous

Linda C. van der Gaag,Hans L. Bodlaenderf the plant so that the disease may not spread to the whole plant. However, in case the leaf is healthy, the system sends a message to the farmers for watering the plants after checking different parameters like soil moisture level, temperature, and humidity.

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抛物线

Sébastien Destercke,Thierry Denoeuxd is low. The main goal of this project is to create a facial recognition-based attendance monitoring system to help educational institutions improve and upgrade their current systems and make them more efficient and effective.

Exposure

Deep Web Search Log Mining Using Spark for Efficient and Scalable Web Information Retrieval,ge ranking. Experiment results show the use of proposed framework reduces the training time of deep learning model CNN and model prediction accuracy is increased. The average precision of the ranked search results based on document semantic vector is improved efficiently using CNN with spark in comparison with CNN without spark.

Blasphemy

Emotion Recognition from Videos Using Transformer Models,nsformer outperform MobileNet using the RAVDESS dataset. We achieved an accuracy of 92% on vision transformer, 91% on SWIN transformer, and 86% on MobileNet when tested on the RAVDESS dataset. The proposed robust emotion recognition system also enables shorter training and testing times, which is ideal for various applications.

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Smart Plant Health Monitoring and Leaf Disease Detection,f the plant so that the disease may not spread to the whole plant. However, in case the leaf is healthy, the system sends a message to the farmers for watering the plants after checking different parameters like soil moisture level, temperature, and humidity.

TIGER

Virtual Game Play and Pose Detection Based on Computer Vision,ments of the human body. Data extracted from the image/videos by using OpenPose connects the obtained data with the virtual environment. The result analysis shows that the proposed SVM algorithm outperforms all other algorithms in terms of recognition rate.