Mert Durgut, Author at aviationfile-Gateway to Aviation World - Page 29

yemenia flight 626 featured

Yemenia Flight 626: A Tragedy of Errors

Yemenia Flight 626 was an international passenger flight operated by Yemenia Airways. On June 30, 2009, it crashed into the

Aviation Accidents

09/10/2023 M.Durgut 1316 Views Aviation accidents, Yemenia Flight 646

Avianca Flight 011 featured

Avianca Flight 011 Crash: A Case Study of Pilot Error, Fatigue, and Inadequate Training

On November 27, 1983, Avianca Flight 011, a Boeing 747-200B, crashed near Madrid, Spain, killing 181 people, including 169 passengers

Aviation Accidents

05/10/2023 M.Durgut 1220 Views avianca flight 011, Aviation accidents

Icelandic air flight 001 featured

Icelandic Airlines Flight 001: A Tragic Reminder of the Dangers of Microbursts

On November 15, 1978, Icelandic Airlines Flight 001, a McDonnell Douglas DC-8-63CF. The flight took-off from Jeddah Airport in Saudi

Aviation Accidents

05/10/2023 M.Durgut 1031 Views Accidents, Icelandic Airlines Flight 001

Independent Air Flight 1851

Independent Air Flight 1851

Independent Air Flight 1851 was a Boeing 707 charter flight from Bergamo, Italy, to Punta Cana, Dominican Republic, with a

Aviation Accidents

03/10/2023 M.Durgut 1288 Views Independent Air Flight 1851

Verity Drones: Revolutionizing Warehouse Automation with Autonomous Inventory Technology
In today’s fast-paced supply chain and logistics world, accuracy, efficiency, and automation have become critical for success. One of the
What is SWIM in Aviation? System Wide Information Management
As aviation becomes increasingly data-driven, the need for efficient and standardized information exchange is more critical than ever. This is
MSE, RMSE, R², and MAE in Airline Passenger Forecasting
Forecasting airline passengers helps airlines plan better. It improves ticket pricing, staff management, and route planning. By using machine learning
Machine Learning in the Aviation Industry: A Comprehensive Analysis
The aviation industry has increasingly integrated Machine Learning (ML) techniques to enhance operational efficiency, safety, and passenger experience. This article