47 results on '"Mukherjee, Somenath"'
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2. Predicting the magnitude of an impending earthquake using deep learning techniques
3. Seismic Bearing Capacity of Shallow Footing in Layered Soil
4. Pseudo-static Stability Analysis of Multilayered Slopes Using Sarma’s Method of Non-vertical Slices
5. 3-Dimensional Analysis of Fixed-Headed Single Pile and 2 × 2 Pile Group in Multilayered Soil
6. A conservation rule for constructing bibliometric network matrices
7. Assessing the Reliability of Seismic Indicators for Earthquake Forecasting: A Correlation Analysis
8. Investigation of Fractality and Stationarity Behaviour on Earthquake
9. Analysis of Laterally Loaded Fixed-Headed Single Pile in Multilayered Soil Using P-Y Approach
10. Investigating the relationship between earthquake occurrences and climate change using RNN-based deep learning approach
11. Within-journal self-citations and the Pinski-Narin influence weights
12. Impact of climate change on seismicity:a statistical approach
13. Letter to the Editor: Comments on the paper of Batagelj—on fractional approach to analysis of linked networks
14. Multifractal, nonlinear, and chaotic nature of earthquake and global temperature
15. Investigating the relationship between earthquake occurrences and global temperature fluctuation patterns
16. 3-Dimensional Analysis of Fixed-Headed Single Pile and 2 × 2 Pile Group in Multilayered Soil
17. Nonlinearity and chaos in wireless network traffic
18. Climatic and seismic data-driven deep learning model for earthquake magnitude prediction
19. Hurst exponent estimation using neural network
20. Analysis of Laterally Loaded Fixed-Headed Single Pile in Multilayered Soil Using P-Y Approach
21. Predicting the magnitude of an impending earthquake using deep learning techniques
22. A Study of Global Temperature Anomalies and their Changing Trends due to Global Warming
23. The Impact of Rising Global Temperatures on Seismicity: A Case Study in Alaska
24. Error Analysis In Computational Elastodynamics
25. Stock market prediction using deep learning algorithms.
26. DESIGN OPTIMISATION OF ROTARY TILLER BLADE TOWARDS SERVICE LIFE ENHANCEMENT
27. Hurst exponent estimation using neural network
28. Investigating the relationship between earthquake occurrences and climate change using RNN-based deep learning approach
29. Stock market prediction using deep learning algorithms
30. Variational correctness and Timoshenko beam finite element elastodynamics
31. Examining the best-fit paradigm for FEM at element level
32. Analysis of delayed convergence in the three-noded Timoshenko beam element using the function space approach
33. Development of a Battery to Assess Perceptual-Motor, Cognition, Language, and Scholastic Skills among Bengali Children with Neuro Developmental Disorders
34. A variational basis for error analysis in finite element elastodynamic problems
35. Undermining the Fractal and Stationary Nature of Earthquake
36. Fractality and Stationarity Analysis on Stock Market
37. A Statistical Signal Processing Approach in Wireless Network Traffic Analysis
38. Characterisation of wireless network traffic: Fractality and stationarity
39. Free Vibration, Acoustic Response and Supersonic Flutter Analyses of Periodic Structures Using a Wave Propagation Method
40. Gnomon: From Pharaohs to Fractals Midhat J. Gazale
41. Error Analysis In Computational Elastodynamics
42. Design & Development of Rotavator blade: Interrogation of CAD Method
43. An improved parametric formulation for the variationally correct distortion immune three-noded bar element
44. Prathap's best‐fit paradigm and optimal strain recovery points in indeterminate tapered bar analysis using linear element
45. Conservation of Best-Fit Paradigm at an Element Level
46. A function space approach to study rank deficiency and spurious modes in finite elements
47. Analysis of shear locking in Timoshenko beam elements using the function space approach
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