Tests of General Relativity with GW150914

B. P. Abbott, R. Abbott, T. D. Abbott, +859

Physical Review Letters

Black Hole DynamicRemnant Black HoleLigo DetectionEngineeringPhysics +9

Properties of the Binary Black Hole Merger GW150914

B. P. Abbott, R. Abbott, T. D. Abbott, +863

Physical Review Letters

Black Hole DynamicPhotometryEngineeringPhysicsBlack Hole Physics +10

Deep learning–based autonomous concrete crack evaluation through hybrid image scanning

Keunyoung Jang, Namgyu Kim, Yun‐Kyu An

Structural Health Monitoring

Image ClassificationDeep Neural NetworksMachine VisionMachine LearningImage Analysis +13

High-energy neutrino follow-up search of gravitational wave event GW150914 with ANTARES and IceCube

S. Adrián-Martínez, A. Albert, M. André, +1292

Physical review. D/Physical review. D.

Automated pavement distress detection using region based convolutional neural networks

Eldor Ibragimov, Hyun-Jong Lee, Jong-Jae Lee, +1

International Journal of Pavement Engineering

Highway PavementPavement EngineeringConvolutional Neural NetworkEngineeringMachine Learning +14

Deep learning-based automated underground cavity detection using three-dimensional ground penetrating radar

Man-Sung Kang, Namgyu Kim, J.-J. Lee, +1

Structural Health Monitoring

Convolutional Neural NetworkEngineeringMachine LearningUnderground CavitiesThree-dimensional Ground +15

A novel 3D GPR image arrangement for deep learning-based underground object classification

Namgyu Kim, Sehoon Kim, Yun‐Kyu An, +1

International Journal of Pavement Engineering

Convolutional Neural NetworkEngineeringMachine LearningDepth Map3D Computer Vision +18

Deep learning-based underground object detection for urban road pavement

Namgyu Kim, Kideok Kim, Yun‐Kyu An, +2

International Journal of Pavement Engineering

Convolutional Neural NetworkUnderground InfrastructureEngineeringMachine LearningGpr Data +18

Cooperative interactions between seed-borne bacterial and air-borne fungal pathogens on rice

Boknam Jung, Jungwook Park, Namgyu Kim, +19

Nature Communications

Three-dimensional convolutional neural network–based underground object classification using three-dimensional ground penetrating radar data

Shekhroz Khudoyarov, Namgyu Kim, Jong-Jae Lee

Structural Health Monitoring

Radar DataConvolutional Neural NetworkEngineeringMachine LearningUnderground Cavities +18