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Afet Müdahale Testinde Yapay Zeka

Sel tahminlerini, hasar görüntülerini, grafik tabanlı hava durumu modellerini, kriz mesajı sınıflandırmasını, altyapı bağımlılıklarını ve model çıktılarının sınırlarını test edin.

İlgili kılavuz yollarıAfet Müdahalesinde Yapay Zeka
Soru 1 arasında 8

What does Google's Flood Hub provide to its users?

Her soruyu önizleyin8 sorular

Testi çözdüğünüzde cevaplar ve açıklamalar görünür.

  1. What does Google's Flood Hub provide to its users?
    • A guarantee that every flood is predicted perfectly
    • Model-based flood forecasts and related location-specific information
    • Physical flood barriers constructed by software
    • Automatic confirmation of every social-media report
  2. Yapay zeka sistemleri bir felaketten sonra bina hasarını genellikle nasıl haritalandırır?
    • Her sakinle röportaj yaparak
    • Haberlerden tahmin ederek
    • Telefon görüşmelerini sayarak
    • Önceki ve sonraki görüntüleri karşılaştırarak değişiklik tespiti yaparak
  3. What modeling approach is central to the GraphCast weather-forecasting study?
    • A graph neural network trained for global weather forecasting
    • A rule that no weather observations are needed
    • A speech-only transcription model
    • A guarantee of identical performance on every hazard and machine
  4. Afet müdahale modelleri neden yeni olaylarla mücadele edebiliyor?
    • Felaketler çok yaygın
    • Sadece yazın çalışıyorlar
    • Geçmiş olaylara göre eğitilen modeller yeni olaylara genellenemeyebilir
    • Eğitim verisi gerektirmezler
  5. What disaster-information function did the AIDR project demonstrate for microblog messages?
    • Guaranteed automatic verification of every message's location and truth
    • Prediction of all future earthquakes from punctuation
    • Replacement of every responder's decision with a text label
    • Supervised classification of crisis-related messages using labeled examples
  6. Why should a disaster-information workflow account for communication and power dependencies?
    • Every network is guaranteed to remain available during an event
    • Infrastructure disruptions can prevent the workflow from receiving or sharing needed data
    • Power supply never affects communication equipment
    • A model's confidence restores damaged infrastructure automatically
  7. What should a crisis-message classification label establish by itself?
    • That the claimed need is definitely current and verified
    • That every reported location has been measured precisely
    • Only the model's classification, with the post's time, location, and factual support still needing assessment
    • That the message must be genuine because it contains a disaster keyword
  8. Why is a difference between pre- and post-event satellite images not automatically proof of building damage?
    • Image timing, alignment, visibility, and other scene changes can also affect the comparison
    • Every changed pixel has exactly one possible cause
    • The image file extension establishes a physical damage class
    • No post-event image can contain any useful evidence