Enhanced Multi-UAV Path Planning in Complex Environments With Voronoi-Based Obstacle Modelling and Q-Learning by Wenjia Su, Min Gao, Xinbao Gao, Zhaolong Xuan

“…Leveraging the improved Q-learning algorithm for single UAVs, the Q-table is iteratively refined for a fleet of UAVs, with dynamic modifications based on the waypoints chosen by each UAV. …”
Get full text

Federated learning resource management for energy-constrained industrial IoT devices by Shaoshuai FAN, Jianbo WU, Hui TIAN

“…Given the impact of limited wireless resources, a dynamic multi-dimensional resource joint management algorithm was proposed, which intended to tackle the problem of device failure and training interruption caused by the limited battery energy in federated learning network in industrial Internet of things (IIoT).Firstly, the optimization problem was decoupled into battery energy allocation, equipment resource allocation and communication resource allocation sub-problems which were interdependent with the goal of maximizing the fixed-time learning accuracy.Then, the equipment transmission and computing resource allocation problem were solved based on particle swarm optimization algorithm under the given energy budget.Thereafter, the resource block iterative matching algorithm was proposed to optimize the optimal communication resource allocation strategy.Finally, the online energy allocation algorithm was proposed to adjust the energy budget allocation.Simulation results validate the proposed algorithm can improve the model learning accuracy compared with other benchmarks, and can perform better in energy shortage scenarios.…”
Get full text

Distributed Cognitive Radio Spectrum Access with Imperfect Sensing Using CTMC by K. Muthumeenakshi, S. Radha

“…A heuristics-based approach is formulated making use of the estimated spectrum idle probability and the interference each user experiences to iteratively update user statistics. This framework is also extended to incorporate the effects of imperfect spectrum sensing in the form of misdetection and false alarms. …”
Get full text

Application of artificial neural network in the modeling and optimization of volatile acid from anaerobic digestion of biomass by Noohi Ali

“…An algorithm is run that iteratively makes billions of small adjustments to the weights and biases of millions of nodes. …”
Get full text

Energy efficiency-based downlink resource allocation in cognitive small cell networks by Ya-nan JIA, Dian-wu YUE

“…The maximization problem was transmitted into an equivalent problem in subtractive form which could be solved from the sequential and parallel iteration points of view. After obtaining the SRB allocation strategies, the master game could be re-modeled as equivalent sub-games for solving the transmission power more easily. …”
Get full text

BgCut: Automatic Ship Detection from UAV Images by Chao Xu, Dongping Zhang, Zhengning Zhang, Zhiyong Feng

“…The output trimap initializes Grabcut background instead of manual intervention and the process of segmentation without iteration. The effectiveness of our proposed model is demonstrated by extensive experiments on a certain area of real UAV aerial images by an airborne Canon 5D Mark. …”
Get full text

Variational Estimation of Optimal Signal States for Quantum Channels by Leonardo Oleynik, Junaid Ur Rehman, Hayder Al-Hraishawi, Symeon Chatzinotas

“…Our simulations demonstrate the convergence and accuracy of the method with a few iterations, confirming that optimal conditions for binary quantum communication systems can be variationally determined with minimal computation. …”
Get full text

Convergent Power Series of sech⁡(x) and Solutions to Nonlinear Differential Equations by U. Al Khawaja, Qasem M. Al-Mdallal

“…It is known that power series expansion of certain functions such as sech⁡(x) diverges beyond a finite radius of convergence. We present here an iterative power series expansion (IPS) to obtain a power series representation of sech⁡(x) that is convergent for all x. …”
Get full text

Low-Complexity Spatial-Temporal Filtering Method via Compressive Sensing for Interference Mitigation in a GNSS Receiver by Chung-Liang Chang, Guo-Shing Huang

“…Secondly, the 2-dimensional (2D) minimum variance distortionless response (MVDR) beamformer is employed in proposed system to mitigate the narrowband and wideband interference simultaneously. The iterative process is performed to find optimal spatial and temporal gain vector by MVDR approach, which enhances the steering gain of direction of arrival (DOA) of interest. …”
Get full text

Research on the Overtopping-Induced Breaching Mechanism of Tailings Dam and Its Numerical Simulation by Zhao Deng, Shiqiang Wu, Ziwu Fan, Zhikun Yan, Jingxiu Wu

“…In addition, the model adopts iterative calculation method to simulate the whole breaching process. …”
Get full text

Nonrigid Registration of Monomodal MRI Using Linear Viscoelastic Model by Jian Yang, Yang Chen, Jingfan Fan, Songyuan Tang

“…To speed up the registration, an adaptive force is introduced according to the maximum displacement of each iteration. Both synthetic datasets and real datasets are used to evaluate the proposed method. …”
Get full text

Dynamic Capabilities Associated with a Firm’s Growth in Developing Countries. A Comparative Study of Argentinean SMEs in the Software and Tourism Industries by Claudia D’Annunzio, Mariela Carattoli, Dolores Dupleix

“…Our findings suggest that SMEs develop DC mainly through an emerging process of iterative experimentation rather than through strategic planning. …”
Get full text

In‐Situ Rheology Measurements via Machine‐Learning Enhanced Direct‐Ink‐Writing by Robert D. Weeks, Jennifer M. Ruddock, J. Daniel Berrigan, Jennifer A. Lewis, James. O. Hardin

“…Direct ink writing, an extrusion‐based 3D printing method, is well suited for high‐mix low‐volume manufacturing. However, an iterative approach, using random selection or constant expert guidance, is still used to create printable inks and optimize printing parameters by expending significant amounts of time, materials, and effort. …”
Get full text

A Fast Numerical Method for the Calculation of the Equilibrium Isotopic Composition of a Transmutation System in an Advanced Fuel Cycle by F. Álvarez-Velarde, E. M. González-Romero

“…A fast numerical method for the calculation in a zero-dimensional approach of the equilibrium isotopic composition of an iteratively used transmutation system in an advanced fuel cycle, based on the Banach fixed point theorem, is described in this paper. …”
Get full text

A Universal Fast Algorithm for Sensitivity-Based Structural Damage Detection by Q. W. Yang, J. K. Liu, C.H. Li, C.F. Liang

“…In this paper, a universal fast algorithm is presented for sensitivity-based structural damage detection, which can quickly improve the calculation accuracy of the existing sensitivity-based technique without any high-order sensitivity analysis or multi-iterations. The key formula of the universal fast algorithm is derived from the stiffness and flexibility matrix spectral decomposition theory. …”
Get full text

Some Fixed Point Results in Function Weighted Metric Spaces by Awais Asif, Nawab Hussain, Hamed Al-Sulami, Muahammad Arshad

“…The corollaries also discuss the iteration of fixed point for Kannan-type contraction in the closed ball as well as in the whole ℱ-metric space. …”
Get full text

Elementary school teachers’ understanding of unit fractions by Arthur Powell, Muteb Alqahtani, Özlem Temur, Daniela Tirnovan

“…Finally, we hypothesize how an iterative perspective of unit fractions may mitigate against the false beliefs that Ciosek and Samborska (2016) and our study document. …”
Get full text

Stability Analysis of Axisymmetric Concave Slopes Based on Two-Dimensional Limit Equilibrium Approach considering Additional Shear Resistance by Xiao-ming Liu, Rui Zhang, Jie Han, Sha Chen

“…By incorporating the extra antislide forces, this paper proposes a simplified two-dimensional (2D) limit equilibrium procedure for the stability analysis of axisymmetric concave slopes. Combined with an iteration algorithm, the procedure can obtain the factors of safety for axisymmetric concave slopes in a simple and efficient way. …”
Get full text

An Approximation Algorithm for the Combination of <i>G</i>-Variational Inequalities and Fixed Point Problems by Araya Kheawborisut, Atid Kangtunyakarn

“…Furthermore, we develop an iterative scheme to find a common element between the set of fixed points of a <i>G</i>-nonexpansive mapping and the solution set of the proposed <i>G</i>-variational inequality problem. …”
Get full text

Hybrid Optimal Kinematic Parameter Identification for an Industrial Robot Based on BPNN-PSO by Guanbin Gao, Fei Liu, Hongjun San, Xing Wu, Wen Wang

“…The results show that the proposed parameter-identification method based on the BPNN and PSO has fewer iterations and faster convergence speed than the standard PSO algorithm.…”
Get full text