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An Intelligent Anomaly Detection Approach for Accurate and Reliable Weather Forecasting at IoT Edges: A Case Study

Buket İşler

Industrialization and rapid urbanization in almost every country adversely affect many of our environmental values, such as our core ecosystem, regional climate differences and global diversity. The difficulties we encounter as a result of the rapid change we experience cause us to encounter many problems in our daily lives. The background of these problems is rapid digitalization and the lack of sufficient infrastructure to process and analyze very large volumes of data. Inaccurate, incomplete or irrelevant data produced in the IoT detection layer causes weather forecast reports to drift away ...Daha fazlası

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Performance Comparison of Deep and Machine Learning Approaches Toward COVID-19 Detection

Buket İşler

The coronavirus (COVID-19) is a disease declared a global pan-demic that threatens the whole world. Since then, research has accelerated and varied to find practical solutions for the early detection and correct identification of this disease. Several researchers have focused on using the potential of Artificial Intelligence (AI) techniques in disease diagnosis to diagnose and detect the coronavirus. This paper developed deep learning (DL) and machine learning (ML)-based models using laboratory findings to diagnose COVID-19. Six different methods are used in this study: K -nearest neighbor (KN ...Daha fazlası

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Prediction of Wind Speed by Using Machine Learning

Buket İşler

Due to the depletion of fossil fuel resources and environmental concerns caused by traditional fuel systems in recent years, the share of renewable energy sources in current energy production has been increasing. Among these energy sources, wind and solar energy stand out compared to other sources. Wind energy is a clean, sustainable and low-cost energy source. Wind and solar energies vary considerably according to the stochastic environment of meteorological conditions. Solar and wind energy variability and uncontrollability lead to power quality, generation-consumption balance and reliabilit ...Daha fazlası

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Hybrid model-based prediction of biomass density in case studies in Turkiye

Buket İşler

Growing global concern over natural resource degradation due to urbanisation and population growth emphasizes the critical need for innovative solutions. Addressing this imperative, our study pioneers the integration of cutting-edge artificial intelligence (AI) methods to investigate crucial changes in vegetation density. In this context, a hybrid model, which harmoniously integrates conventional artificial neural network (ANN) models with the innovative Wavelet-ANN (W-ANN) approach, was employed in two case pilot areas, namely on Alanya in Antalya and Iznik in Bursa, Turkiye, renowned for the ...Daha fazlası

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