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Artificial intelligence-based fault diagnosis is the process of automatically detecting, identifying, and predicting faults in electrical and electronic systems using artificial intelligence (AI) technologies such as machine learning, deep learning, and big data analytics. This approach analyzes large datasets—including sensor data, operational parameters, or images collected from systems—to identify deviations and anomalies from normal operating conditions. Unlike traditional methods, AI-based

Data-driven manufacturing is an approach based on the systematic collection, analysis, and application of data generated from operational processes to enhance the performance of production systems. In this approach, production is not limited to the processing of physical inputs; it transforms into a continuously optimized structure through the integration of digital data into the production process.The foundation of this transformation lies in cyber-physical systems that enable interaction betwe

Coğrafi Bilgi Sistemleri (CBS), konuma dayalı verilerin toplanmasını, depolanmasını, analiz edilmesini ve görselleştirilmesini kolaylaştıran bilgi sistemleridir. CBS, fiziksel dünyaya ilişkin verileri dijital ortamda işleyerek mekânsal analizlere olanak sağlar. Veri hacminin hızla arttığı günümüzde CBS, çeşitli sektörlerde karar alma süreçlerinin daha etkili hale getirilmesinde önemli bir rol oynamaktadır. Verilerin konuma dayalı olarak değerlendirilmesine olanak tanıyan CBS, kentsel planlama, ç