Search Results - multi-layer hybrid iterative algorithm

Hybrid model to improve the river streamflow forecasting utilizing multi-layer perceptron-based intelligent water drop optimization algorithm by Pham, Quoc Bao, Afan, Haitham Abdulmohsin, Mohammadi, Babak, Ahmed, Ali Najah, Linh, Nguyen Thi Thuy, Vo, Ngoc Duong, Moazenzadeh, Roozbeh, Yu, Pao-Shan, El-Shafie, Ahmed

“… to identify utilizing classical mathematical model, such as river streamflow. However, the existing AI models, such as multi-layer perceptron neural network (MLP-NN…”
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2022 and 2023 Selected Papers from Algorithms Editorial Board Members

“…This preprint of a special issue of the journal Algorithms presents recent research papers submitted by the Editorial Board members of the journal…”
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Energy-Efficient Hybrid Beamforming for Multi-Layer RIS-Assisted Secure Integrated Terrestrial-Aerial Networks by Sun, Yifu, An, Kang, Zhu, Yonggang, Zheng, Gan, Wong, Kai-Kit, Chatzinotas, Symeon, Ng, Derrick Wing Kwan, Guan, Dongfang

“…, this paper proposes a multi-layer RIS-assisted secure ITAN architecture to defend against simultaneous…”
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Multi-Layer Cryptosystem Using Reversible Cellular Automata by Stănică, George, Anghelescu, Petre

“…). This study presents the hardware design and the field programmable gate array (FPGA)-based implementation of a multi-layer symmetric block encryption algorithm built on the principles of reversible cellular automata (RCA…”
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Energy-Efficient Hybrid Beamforming for Multilayer RIS-Assisted Secure Integrated Terrestrial-Aerial Networks by Sun, Yifu, An, Kang, Zhu, Yonggang, Zheng, Gan, Wong, Kai-Kit, Chatzinotas, Symeon, Ng, Derrick Wing Kwan, Guan, Dongfang

“…, this paper proposes a multi-layer RIS-assisted secure ITAN architecture to defend against simultaneous…”
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Deep-Unfolding Neural-Network Aided Hybrid Beamforming Based on Symbol-Error Probability Minimization by Shi, Shuhan, Cai, Yunlong, Hu, Qiyu, Champagne, Benoit, Hanzo, Lajos

“…) optimization criterion and then develop an MSER-based iterative gradient descent (GD) algorithm to find the related stationary points…”
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Multi-layer transmission and hybrid relaying for relay channels with multiple out-of-band relays by Park, Seok-Hwan, Simeone, Osvaldo, Sahin, Onur, Shamai (Shitz), Shlomo

“…‐layer transmission is used, on the one hand, to adaptively leverage the different decoding capabilities of the relays and, on the other hand, to enable hybrid decode…”
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Deep Neural Multi-Layer Perceptron Integrated Hybrid Engineering for IIoT Resource Management by Uvaneshwari, M, Singh, Anil Pratap, Ambika, K., Parvathy, K, Bhatt, Nirav, Takkella, Radhika

“…The combination of both Deep Neural Multi-Layer Perceptron (DNMLP) and Model-Based Engineering (MBE…”
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Multiuser hybrid analogue/digital beamforming for massive multiple-input–multiple-output by Wu, Keying, Wu, Lu, Zhang, Jianwen

“…The authors propose a generalised multi-layer architecture for the phase shifter network (PSN…”
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Sub-optimal switching in anti-lock brake systems using approximate dynamic programming by Sardarmehni, Tohid, Heydari, Ali

“… To this goal, an iterative scheme, called the value iteration algorithm, is used to derive the infinite horizon solution to the underlying Hamilton–Jacobi–Bellman equation…”
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Multi-Layer Transmission and Hybrid Relaying for Relay Channels with Multiple Out-of-Band Relays by Park, Seok-Hwan, Simeone, Osvaldo, Sahin, Onur, Shamai, Shlomo

“… In this scenario, a novel transmission and relaying strategies are proposed in which multi-layer transmission is used, on the one hand, to adaptively leverage the different decoding capabilities…”
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New self-calibration algorithm for programmable multi-core memristor-CMOS chip for neuromorphic computing by Diez-De-Los-Rios, Ivan, Camunas-Mesa, Luis, Serrano-Gotarredona, Teresa, Linares-Barranco, Bernabe

“…-power energy-efficient high-speed inference applications and online learning. However, before implementing large multi-layer networks with higher number of neurons…”
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Deep Learning Based Auction-Driven Beamforming for Wireless Information and Power Transfer by Bayat, Ali, Aissa, Sonia

“…In this paper, we design a deep learning based resource allocation framework, in the form of an auction, for simultaneous information and power transfer from a hybrid access point (AP…”
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Modelling and optimization applied to the design of fast hydrodynamic focusing microfluidic mixer for protein folding by Ivorra, Benjamin, Ferrández, Miriam R., Crespo, María, Redondo, Juana L., Ortigosa, Pilar M., Santiago, Juan G., Ramos, Ángel M.

“…In this work, we consider a microfluidic mixer that uses hydrodynamic diffusion stream to induce the beginning of the folding process of a certain protein. To…”
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Hybrid ensemble selection algorithm incorporating GRASP with path relinking by Zhang, Ting, Dai, Qun

“… In this paper, a hybrid ensemble selection algorithm incorporating GRASP with path relinking (PRelinkGraspEnS) is proposed for credit scoring…”
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Dynamic node creation and fast learning algorithm for a hybrid feedforward neural network by Hong-Fei Xia, Lian-Kui Dai

“…Presents an algorithm of dynamic node creation and weights learning for a hybrid feedforward neural network (HFNN…”
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A new spinning reserve requirement forecast method for deregulated electricity markets by Amjady, Nima, Keynia, Farshid

“… In this paper, a new hybrid forecast engine is proposed for SR requirement prediction. The proposed forecast…”
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High-order transmission conditions in a domain decomposition method for the time-harmonic Maxwell's equations in inhomogeneous media by Stupfel, Bruno, Chanaud, Mathieu

“… Exact and approximate high-order transmission conditions (HOTC) are obtained for the model problem of a multi-layer planar structure…”
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A fast learning algorithm of neural network for the training and recognition of the phonemes by Minghu Jiang, Hongmei Pang, Beixing Deng, Chengqing Zong

“…) algorithms by introducing the hybrid global optimization conjugate gradient algorithm for the dynamic learning rate…”
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Hybrid neural system for time series prediction by Benabdeslem, K.

“… This system is hybrid and is based on three methods, an incremental self organizing map (e-SOM) for dynamically learning the past of the times series, an ascendant hierarchical clustering…”
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