Earth Science
Paper Review Records
All Paper Review Records
20 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.
Analysis of ionospheric TEC anomalies and prediction using XGBoost, GRU and RF algorithms associated with 2024 Japan Earthquakes (Mw > 7.0)
AuthorsR. Mukesh; S. Kiruthiga; J. Rubashri; S. Rishwana Fathima; P. Priyavarshini; Sarat C. Dass; A. R. S. Sahanaa; S. Safana; S. Karthick; D. Venkata Ratnam
Affiliations1. Department of ECE, Saranathan College of Engineering, Trichy, India; 2. School of Mathematical and Computer Sciences, Heriot-Watt University Malaysia, Putrajaya, Malaysia; 3. Department of ECE, Koneru Lakshmaiah Education Foundation, Andhra Pradesh, India
Rethinking innovation narratives in mature GNSS-based deformation analysis
AuthorsYellinson de M. Almeida
Affiliations1. Department of Geodesy Science and Geomatics, Universidad de Concepción, Los Ángeles, Chile
A self-training framework based on LightGBM for recognizing mineralization-caused geochemical anomalies
AuthorsChenyi Zheng; Yongliang Chen
Affiliations1. College of Earth Sciences, Jilin University, Changchun, China
Comparative assessment of GNSS- and GACOS-based tropospheric corrections for InSAR-derived surface deformation: a case study of the 2020 Elazığ–Sivrice earthquake
AuthorsNihal Tekin Ünlütürk; Uğur Doğan
Affiliations1. Department of Geomatic Engineering, Erciyes University, Kayseri, Türkiye; 2. Department of Geomatic Engineering, Yıldız Technical University, İstanbul, Türkiye
Interpretable hybrid digital image analysis model with fuzzy logic system for porosity estimation in clay-influenced sandstone reservoirs
AuthorsKhalil Al-Wagih; Ali Mohammed Mohammed Al-Rakhami; Ebrahim Mohammed Senan
Affiliations1. Department of Computer Science, Faculty of Computer Science & Informatics, Thamar University, Dhamar, Yemen; 2. Artificial Intelligence Department, Faculty of Computer Science and Information Technology, Al- Razi University, Sana’a, Yemen; 3. Department of Computer Science, Faculty of Applied Sciences, Hajjah University, Hajjah, Yemen
Koopman analysis of sea surface temperature with a signature kernel
AuthorsNozomi Sugiura; Satoshi Osafune; Shinya Kouketsu
Affiliations1. Research Institute for Global Change, Japan Agency for Marine-Earth Science and Technology, Yokosuka, Japan; 2. Advanced Institute for Marine Ecosystem Change (WPI-AIMEC), Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan
A novel Mamba model based on frequency domain enhancement and visual state space for high-precision lithology classification
AuthorsYan Zhang; Fan Zhang; Ruifeng Li; Zongguo Zhang
Affiliations1. Guangxi Key Laboratory of Geomechanics and Geotechnical Engineering, Guilin University of Technology, Guilin, China; 2. Guangxi Key Laboratory of Green Building Materials and Construction Industrialization, Guilin University of Technology, Guilin, China
Integrated gravity and landsat analyses for hydrothermal alteration and fault zone mapping in the lokop geothermal prospect, Indonesia
AuthorsFaisal Abdullah; Muhammad Yanis; Muhammad Ridha Adhari; Dian Darisma; Gartika Satria Nugraha; Muzakir Zainal; Nazli Ismail
Affiliations1. Dept. of Physics, Universitas Syiah Kuala, Darussalam, Banda Aceh, Indonesia; 2. Dept. of Geophysical Engineering, Universitas Syiah Kuala, Darussalam, Banda Aceh, Indonesia; 3. Dept. of Geological Engineering, Universitas Syiah Kuala, Darussalam, Banda Aceh, Indonesia
A geochemically constrained explainable machine learning framework (EBGT) for ion-adsorption rare earth elements prospecting
AuthorsKamran Mostafaei; Mohammad Nabi Kianpour; Amin Hekmatnejad; Jose Joaquin Jara; Behshad Jodeiri Shokri
Affiliations1. Department of Mining, Faculty of Engineering, University of Kurdistan, Sanandaj, Iran; 2. Department of Mining Engineering, School of Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile; 3. Centre for Future Materials (CFM), University of Southern Queensland, Toowoomba, Australia; 4. School of Science, Engineering and Digital Technologies, University of Southern Queensland, Springfield Central, Australia
Content-guided attention-based feature fusion network for underwater image enhancement
AuthorsXiuman Liang; Xinzhe Yao; Haifeng Yu; Zhendong Liu
Affiliations1. College of Electrical Engineering, North China University of Science and Technology, Tangshan, China
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