Essays about: "activity classification"

Showing result 1 - 5 of 155 essays containing the words activity classification.

  1. 1. Data analysis for predictive maintenance and potential challenges associated with the technology integration of steel industry machines.

    University essay from Högskolan i Gävle/Elektronik

    Author : Pradip Nath; [2024]
    Keywords : Data Science; Data processing; Industrial Manufacturing; System Identification; Predictive maintenance; Conditional monitoring; Statistical Analysis; Signal processing; Hydraulic System; IoT; Sustainable Maintenance; Data vetenskap; Databehandling; Industriell tillverkning; System identifiering; Prediktivt underhåll; Tillståndsövervakning; Statistisk analys; Signal behandling;

    Abstract : The recharge is the focus of data analysis of the different situations with the integration of the system and development of the two-stage 2/2 proportional cartridge valve for the steel industry machine. Using the statistical analysis technique to visualize the valve signal data behavior identify the accuracy of the machine data and apply the statistical feature extracting model using classification and clustering algorithms of real-time data analysis for the manufacturing. READ MORE

  3. 2. END-OF-LIFE FOR A QUARRY, WHAT IS THE ENVIRONMENTAL IMPACT?

    University essay from Göteborgs universitet / Institutionen för biologi och miljövetenskap

    Author : Kimia Golamian Yosaf Abadi; [2023-06-21]
    Keywords : Quarrying; Aggregates; Life cycle; Environmental impact; Restoration; Permit;

    Abstract : Aggregates products are the largest non-energy mining industry in the world, which is the most extracted materials after water. The most prevalent source of aggregates is from quarries, or mines that target the rock itself. READ MORE

  4. 3. Combining Cell Painting, Gene Expression and Structure-Activity Data for Mechanism of Action Prediction

    University essay from Uppsala universitet/Nationellt resurscentrum för biologi och bioteknik

    Author : Erik Everett Palm; [2023]
    Keywords : bioinformatics; deep learning; machine learning; joint model; tabular data; image data;

    Abstract : The rapid progress in high-throughput omics methods and high-resolution morphological profiling, coupled with the significant advances in machine learning (ML) and deep learning (DL), has opened new avenues for tackling the notoriously difficult problem of predicting the Mechanism of Action (MoA) for a drug of clinical interest. Understanding a drug's MoA can enrich our knowledge of its biological activity, shed light on potential side effects, and serve as a predictor of clinical success. READ MORE

  5. 4. Ukrainian Digital Media Activism On Instagram Stories During The War Against Russia In 2022 : An Analysis Of Kharkiv-Related Users’ Digital Activity During March 2022

    University essay from Uppsala universitet/Institutionen för informatik och media

    Author : Anastasiia Khardikova; [2023]
    Keywords : digital media activism; internet activism; Instagram; Stories; war in Ukraine; semiotics; online activism during the war; anchorage; Ukraine; Russia; content analysis; Kharkiv;

    Abstract : This study examines digital media activism during the full-scale war in Ukraine caused by the Russian invasion in 2022, focusing specifically on Instagram content posted by users with connections to Kharkiv city between March 18-25, 2022. Kharkiv was heavily affected by bombings throughout the war. READ MORE

  6. 5. Exploration and Evaluation of RNN Models on Low-Resource Embedded Devices for Human Activity Recognition

    University essay from KTH/Mekatronik och inbyggda styrsystem

    Author : Helgi Hrafn Björnsson; Jón Kaldal; [2023]
    Keywords : Recurrent Neural Networks; Long Short-Term Memory Networks; Embedded Systems; Human Activity Recognition; Edge AI; TensorFlow Lite Micro; Recurrent Neural Networks; Long Short-Term Memory Networks; Innbyggda systyem; Mänsklig aktivitetsigenkänning; Edge AI; TensorFlow Lite Micro;

    Abstract : Human activity data is typically represented as time series data, and RNNs, often with LSTM cells, are commonly used for recognition in this field. However, RNNs and LSTM-RNNs are often too resource-intensive for real-time applications on resource constrained devices, making them unsuitable. READ MORE