Analysing Convergence through the Distribution Dynamics Approach: Why and how? [PDF]
The convergence hypothesis has stimulated a heated debate within the growth literature. The present paper compares the two most commonly adopted empirical approaches, the regression approach and the distribution dynamics approach, and argues that the ...
Stefano Magrini
core
Biomimetic Coverage Optimization in WSNs via an Enhanced Spider-Wasp Optimizer with Adaptive Learning and Dual-Median-Point Guidance. [PDF]
Nguyen TT, Wang L, Dao TK.
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Coarse uniform convergence spaces [PDF]
Gazik, R. J., Kent, D. C.
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Structural Breaks and Convergence in Output Growth in the EU [PDF]
Convergence is defined for a multivariate time-series model of output with breaks in intercepts and in time trends. Using OECD quarterly data on output from 1980, the convergence hypothesis is tested across seven European economies, Belgium, Finland ...
Clifford L.F. Attfield
core
Bulk Boundary Condition for Semi-Infinite Surfaces in Density Functional Theory. [PDF]
Bhowmik S, Medford AJ, Suryanarayana P.
europepmc +1 more source
Reinforcement learning-guided multi-objective trajectory planning for obstacle avoidance in robotic manipulators. [PDF]
Zhao Z, Hao S, Jin B, Liu L, Li Z.
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DRL-Based LEO Constellation Design for Regional Navigation Enhancement. [PDF]
Rui Z, Zeng F, Ouyang X, Chen L.
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An Improved Hippopotamus Optimization Algorithm with Trend-Aware Mechanism for Fake Information Detection. [PDF]
Dai X, Lu G, Li J.
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A Layered NSGA-II Method for LEO Target Census Constellation Design. [PDF]
Quan C, Jian P.
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An auto-initializing algorithm to determine electronic ground states from random Slater determinants. [PDF]
Zhang H, Otten M.
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