Risultati della ricerca - "data preprocessing"
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1
Optimizing Machine Learning-Based Ovarian Cancer Prediction Through Normalization Strategies
Pubblicazione 2025-01-01Soggetti: TestoOvarian cancer is one of the most challenging cancers to detect early, often leading to poor survival rates. This study explores supervised and unsupervised machine learning and deep learning approaches to improve predictive performance using clinical and biomarker-based data which was scaled throug...
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Deep Learning and Statistical Models for Forecasting Transportation Demand: A Case Study of Multiple Distribution Centers
Pubblicazione 2023-11-01Soggetti: Testo<i>Background</i>: Transportation demand forecasting is an essential activity for logistics operators and carriers. It leverages business operation decisions, infrastructure, management, and resource planning activities. Since 2015, there has been an increase in the use of deep learning...
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Smartphone image dataset for machine learning-based monitoring and analysis of mango growth stagesMendeley Data
Pubblicazione 2025-08-01Soggetti: TestoMachine learning and artificial intelligence have gained widespread popularity across various sectors in Bangladesh, with the notable exception of the agriculture industry. While wealthier nations have extensively adopted machine learning and deep learning techniques in agriculture, Bangladesh'...
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Bridge Cable Performance Warning Method Based on Temperature and Displacement Monitoring Data
Pubblicazione 2025-07-01Soggetti: TestoCable-stayed bridge cables experience significant tension over time, making the bridge cables prone to corrosion and fatigue. The direct measurement of cable length is not a standard capability in most current structural health monitoring systems, nor is long-term monitoring of cable changes. Bridge...
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Dataset for Traffic Accident Analysis in Poland: Integrating Weather Data and Sociodemographic Factors
Pubblicazione 2025-06-01Soggetti: TestoRoad traffic accidents remain a critical public health concern worldwide, with Poland consistently experiencing high fatality rates—52 deaths per million inhabitants in 2023, compared to the EU average of 46. To investigate the underlying factors contributing to these accidents, we developed a multi...
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Low Voltage AC Series Arc Fault Detection Method Based on Approximate Entropy for Low Computational Performance Device
Pubblicazione 2025-01-01Soggetti: TestoThe series arc faults have been increasingly recognized as one of the major causes of electrical fires in residential environments. However, detecting series arc faults is becoming more challenging due to the increasing diversity of electrical loads used in daily life. This paper proposes an algorit...
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Flight-Safe Inference: SVD-Compressed LSTM Acceleration for Real-Time UAV Engine Monitoring Using Custom FPGA Hardware Architecture
Pubblicazione 2025-07-01Soggetti: TestoPredictive maintenance (PdM) is a proactive strategy that enhances safety, minimizes unplanned downtime, and optimizes operational costs by forecasting equipment failures before they occur. This study presents a novel Field Programmable Gate Array (FPGA)-accelerated predictive maintenance framework...
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Automated data processing and feature engineering for deep learning and big data applications: A survey
Pubblicazione 2025-03-01Soggetti: TestoModern approach to artificial intelligence (AI) aims to design algorithms that learn directly from data. This approach has achieved impressive results and has contributed significantly to the progress of AI, particularly in the sphere of supervised deep learning. It has also simplified the design of...
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AN ADVANCED MACHINE LEARNING (ML) ARCHITECTURE FOR HEART DISEASE DETECTION, PREDICTION AND CLASSIFICATION USING MACHINE LEARNING
Pubblicazione 2025-03-01Soggetti: TestoCardiovascular diseases (CD) are the common cause of death worldwide over in developed as well as underdeveloped and developing countries. Early detection and continuous supervision can reduce the mortality rate. Cardiovascular disease diagnosis and accurate diagnosis to enable early treatment. So...
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Smart Management of Energy Losses in Distribution Networks Using Deep Neural Networks
Pubblicazione 2025-06-01Soggetti: TestoThis research presents an advanced methodology for smart management of energy losses in electrical distribution networks by leveraging deep neural network architectures. The primary objective is to enhance the accuracy of short-term forecasting for nodal loads and corresponding energy losses, enabli...
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Experience in applying large language models to analyse sociological data obtained as a result of interviews on students’ perception of entrepreneurial activity
Pubblicazione 2024-10-01Soggetti: TestoModern society is experiencing a digital transformation of various spheres associated with the development of artificial intelligence and big data. The introduction of large language models (hereinafter referred to as LLM) into scientific research opens new opportunities, but also raises a number of...
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Improving of the Generation Accuracy Forecasting of Photovoltaic Plants Based on <i>k</i>-Means and <i>k</i>-Nearest Neighbors Algorithms
Pubblicazione 2023-08-01Soggetti: TestoRenewable energy sources (RES) are seen as a means of the fuel and energy complex carbon footprint reduction but the stochastic nature of generation complicates RES integration with electric power systems. Therefore, it is necessary to develop and improve methods for forecasting of the power plants...
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