Mahdi Hasanipanah
Civil and Structural Engineering · 2019–2021
A researcher in the Science corpus: 6 papers; trusts 3 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Civil and Structural Engineering — 21 citations into it; #5,853 of 6,160 by trust here, #4,455 by citations
- Mechanics of Materials — 10 citations into it; #6,013 of 6,291 by trust here, #4,414 by citations
- Safety, Risk, Reliability and Quality — 9 citations into it; #1,171 of 1,220 by trust here, #1,132 by citations
- Artificial Intelligence — 6 citations into it
Whom Mahdi Hasanipanah trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Mahdi Hasanipanah overall
Papers from Mahdi Hasanipanah's perspective
Ordered by how strongly the researchers Mahdi Hasanipanah trusts endorse each paper. Same corpus, a different order for every researcher.
- Sparse Bayesian Learning and the Relevance Vector Machine
- Predicting Blast-Induced Air Overpressure: A Robust Artificial Intelligence System Based on Artificial Neural Networks and Random Forest (Natural Resources Research)
- Evaluation Methodology of Brittleness of Rock Based on Post-Peak Stress–Strain Curves (Rock Mechanics and Rock Engineering)
- Landslide susceptibility assessment using SVM machine learning algorithm
- What controls the mechanical properties of shale rocks? – Part I: Strength and Young's modulus
- Application of several optimization techniques for estimating TBM advance rate in granitic rocks (Journal of Rock Mechanics and Geotechnical Engineering)
- A New Metaheuristic Bat-Inspired Algorithm (Nature Inspired Cooperative Strategies for Optimization)
- Evaluation method of rockburst: State-of-the-art literature review (Tunnelling and Underground Space Technology)
- Intelligent Prediction of Blasting-Induced Ground Vibration Using ANFIS Optimized by GA and PSO (Natural Resources Research)
- Genetic Algorithms in Search Optimization and Machine Learning
Their papers
- Prediction of flyrock induced by mine blasting using a novel kernel-based extreme learning machine (2021) — 61 citations
- Improving the performance of LSSVM model in predicting the safety factor for circular failure slope through optimization algorithms (2021) — 50 citations
- Prediction of Blast-Induced Ground Vibration in a Mine Using Relevance Vector Regression Optimized by Metaheuristic Algorithms (2020) — 53 citations
- Examining Hybrid and Single SVM Models with Different Kernels to Predict Rock Brittleness (2020) — 97 citations
- A novel nonlinear modeling for the prediction of blast-induced airblast using a modified conjugate FR method (2019) — 56 citations
- Intelligent Prediction of Blasting-Induced Ground Vibration Using ANFIS Optimized by GA and PSO (2019) — 119 citations