Search Results - "Colab"

Development of video-based emotion recognition using deep learning with Google colab by Gunawan, Teddy Surya, Ashraf, Arselan, Riza, Bob Subhan, Haryanto, Edy Victor, Rosnelly, Rika, Kartiwi, Mira, Janin, Zuriati

“…An experiment was carried out on the fer2013 dataset in Google Colab for depression detection, which came out to be 97% accurate on the training set and 57.4% accurate on the testing set.…”
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Development of a smart edge device for fire detection by Ng, Wei Yuan

“…The workflow of the project is divided into three sections: Google Colab, a workstation, and the Jetson Nano B01. The Google Colab section is used to train the models and generate the Improved YOLOv5s model, while the workstation is used to download the trained model weights and generate the Flask server and MQTT client. …”
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Deep learning for scene visualization and sentence-based image synthesis by Beh, Teck Sian

“…The platform uses to run the datasets is Jupyter notebook and google colab to run the coding input and give output to judge validity and generality of results. …”
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Nutrilife: Empowering health with diet and nutrition app by Tan, Yuki Lok Yee

“…Utilizing a Convolutional Neural Network (CNN) model trained in Google Colab with a dataset of local dishes, the app offers precise nutritional insights, including calories and macronutrients, based on user-captured images. …”
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Smart Security Camera With Deep Learning by Wong, Yee Cheng

“…The training platform is Google Colab whereas the testing environment using NCS2 requires the pre-trained model to be converted into TensorFlow and subsequently intermediate representation (IR). …”
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Investigation of An Early Prediction System of Cardiac Arrest Using Machine Learning Techniques by Muhammad Afnan, Mohammad Nasir

“…This algorithm was applied in the Python using Google Colab to make prediction of the sudden cardiac arrest. …”
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Development Of Construction Noise Prediction Method Using Linear Support Vector Regression Model by Gam, Li Juen

“…Thus, this research project proposed to develop a noise prediction model to overcome the limitation stated previously by implementing linear support vector regression. As Google Colab provides a very stable platform for establishing a machine learning model, thus this platform was chosen to develop the noise prediction model. …”
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Plant stem disease detection using machine learning approaches by Md Akbar, Jalal Uddin, Syafiq Fauzi, Kamarulzaman, Tusher, Ekramul Haque

“…Our experiments were conducted on multiple platforms, including Google Colab, Jupyter Notebook, and OpenCV, and compared the performance of four classification techniques: Support Vector Machine (SVM), Random Forest, K-Nearest Neighbor (KNN), and Impact Learning. …”
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Evaluating the Performance of a Visual Support System for Driving Assistance using a Deep Learning Algorithm by Beg, Mohammad Sojon, Muhammad Yusri, Ismail, Miah, M. Saef Ullah

“…The model utilises the YOLO V8 deep learning algorithm in the Google Colab environment and is trained using a custom dataset managed by the Roboflow dataset manager. …”
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Object Detection for Safety Attire Using YOLO(You Only Look Once) by Afifuddin Arif, Shihabuddin Arip, Norazlianie, Sazali, Kadirgama, Kumaran, Ahmad Shahir, Jamaludin, Faiz, Mohd Turan, Norhaida, Ab. Razak

“…Using YOLOv8 machine learning and Google Colab's web-based development environment, this research aims to create an immediate detection system for PPE violations in the workplace. …”
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Comparative study on job scheduling using priority rule and machine learning by Murad, Saydul Akbar, Zafril Rizal, M Azmi, Abu Jafar, Md Muzahid, Al-Imran, Md.

“…In cloudsim and Google Colab, we finished our experiment. CPU time, turnaround time, wall clock time, waiting time, and execution start time are all included in this research. …”
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AMRColab – a user-friendly antimicrobial resistance detection and visualization tool by Lam, Su Datt, Di Gregorio, Sabrina, Ang, Mia Yang, Griffiths, Emma, Tengku Jamaluddin, Tengku Zetty Maztura, Nathan, Sheila, Neoh, Hui-min

“…A workshop was conducted and feedback from participants indicated high confidence in using AMRColab and a willingness to incorporate it into their research. AMR-Colab’s user-friendly interface and modular design make it accessible to a diverse audience, including medical laboratory technologists, medical doctors and public health scientists, regardless of their bioinformatics expertise. …”
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Construction Site Object Detection API Comparative Study by Wong, Yew Chien

“…In this project, three object detection models – YOLOv3, Detectron2, and EfficienDet are coded with Python on Google Colab. A modified image dataset that contains 100 images of construction object were prepared. …”
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