Scientific Research Publishing

Reproducing Kernel Hilbert Space Technique for Fourth-Order Singular Boundary Value Problems ()

Reproducing kernel Hilbert space method is utilized in this paper as an efficient approach to solve singular fourth order ...
IEEE

Efficient Approximation Algorithms for the Bounded Flexible Scheduling Problem in Clouds

Abstract: Clouds, such as Amazon Infrastructure-as-a-Service (IaaS) clouds and EMC Hybrid Cloud, impose growing requirements of resource-efficiency scheduling. The bounded flexible scheduling (BFS) ...
IEEE

Algorithm and Architecture of a Channel-Correlation-Resistant Massive MIMO Detector Based on Expectation Propagation

Abstract: Expectation propagation (EP) and its approximation algorithms achieve near-optimal signal detection in massive multiple-input multiple-output (MIMO) systems with substantially reduced ...
Scientific Research Publishing

Physical Investigation on Robust Algorithms for Inverse Problems of Heterogeneous Metastructures ()

1 Tianjin Engineering Research Center of Civil Aviation Energy Environment and Green Development, Civil Aviation University of China, Tianjin, China. 2 Groupe d’Acoustigue de l’ Université de ...
Voluntaria

When algorithms decide for you: a warning about automation and the loss of freedom

Overriding techno-optimism prevents us from seeing the risks that technology poses for our societies, says a UOC researcher Allowing algorithms to make more and more decisions can lead to frustration, ...
acm.org

Theoretical Analysis of Edit Distance Algorithms

Edit distance—a classical problem in computer science—has received ongoing attention from both practitioners and theoreticians. Given two strings A and B, the edit distance is the minimum number of ...
PNAS

Clever algorithms for glasses work by time reparameterization

Why do amorphous materials flow so slowly when temperature or density is mildly changed? Competing explanations typically fall into two pictures, where the dynamics is either controlled by the static ...
Frontiers

Deep Reinforcement Learning Based Trajectory Planning Under Uncertain Constraints

With the advance in algorithms, deep reinforcement learning (DRL) offers solutions to trajectory planning under uncertain environments. Different from traditional trajectory planning which requires ...
Frontiers

ALSA: Associative Learning Based Supervised Learning Algorithm for SNN

Spiking neural network (SNN) is considered to be the brain-like model that best conforms to the biological mechanism of the brain. Due to the non-differentiability of the spike, the training method of ...