Essays about: "case study vector"

Showing result 1 - 5 of 77 essays containing the words case study vector.

  1. 1. Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Nikolaos Staikos; [2024]
    Keywords : Physical Geography; Ecosystem Analysis; Bike-sharing demand; Machine learning; Deep learning; Spatial regression; Graph Convolutional Neural Network; Multiple Linear Regression; Multilayer Perceptron Regressor; Support Vector Machine; Random Forest Regressor; Urban environment; Micro-mobility; Station planning; Geomatics; Earth and Environmental Sciences;

    Abstract : Public Bike-Sharing systems have been employed in many cities around the globe. Shared bikes are an efficient and convenient means of transportation in advanced societies. Nonetheless, station planning and local bike-sharing network effectiveness can be challenging. READ MORE

  3. 2. A requirements engineering approach in the development of an AI-based classification system for road markings in autonomous driving : a case study

    University essay from Blekinge Tekniska Högskola/Institutionen för programvaruteknik

    Author : Srija Sunkara; [2023]
    Keywords : Requirements Engineering; Machine Learning; Goal-Oriented Requirements Engineering; Autonomous Driving; Point Cloud Classification;

    Abstract : Background: Requirements engineering (RE) is the process of identifying, defining, documenting, and validating requirements. However, RE approaches are usually not applied to AI-based systems due to their ambiguity and is still a growing subject. READ MORE

  4. 3. Performance comparison of data mining algorithms for imbalanced and high-dimensional data

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Daniel Rubio Adeva; [2023]
    Keywords : Data science; neural network; random forest; support vector machine; imbalanced data; average precision; ROC; Datavetenskap; neuralt nätverk; slumpmässig skog; stödvektormaskin; obalanserad data; medelprecision; ROC;

    Abstract : Artificial intelligence techniques, such as artificial neural networks, random forests, or support vector machines, have been used to address a variety of problems in numerous industries. However, in many cases, models have to deal with issues such as imbalanced data or high multi-dimensionality. READ MORE

  5. 4. COMPARATIVE ANALYSIS OF MACHINE LEARNING LOAD FORECASTING TECHNIQUES

    University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

    Author : Humphry Takang Bate; [2023]
    Keywords : ;

    Abstract : Load forecasting plays a critical role in energy management, and power systems, enabling efficient resource allocation, improved grid stability, and effective energy planning and distribution. Without accurate very short term load forecasting, utility management companies face uncertain load patterns, unrealistic prices, and poor infrastructure planning. READ MORE

  6. 5. Dynamic Warning Signals and Time Lag Analysis for Seepage Prediction in Hydropower Dams : A Case Study of a Swedish Hydropower Plant

    University essay from Uppsala universitet/Datalogi

    Author : Lovisa Olsson; Julia Hellström; [2023]
    Keywords : hydropower; dam safety; dam monitoring; seepage; prediction models; data-driven methods; artificial intelligence; AI;  linear regression; Support Vector Regression; SVR; Long Short-Term Memory; LSTM;

    Abstract : Hydropower is an important energy source since it is fossil-free, renewable, and controllable. Characteristics that become especially important as the reliance on intermittent energy sources increases. However, the dams for the hydropower plants are also associated with large risks as a dam failure could have fatal consequences. READ MORE