Search Results - (( _ equalization based algorithm ) OR ( rate adaptation optimization algorithm ))

Hybrid Improved Bacterial Swarm Optimization Algorithm for Hand-Based Multimodal Biometric Authentication System by Shanmugasundaram, Karthikeyan, Mohmed, Ahmad Sufril Azlan, Ruhaiyem, Nur Intan Raihana

“…This paper proposes a Hybrid Improved Bacterial Swarm (HIBS) optimization algorithm for the minimization of Equal Error Rate (EER) as a performance measure in a hand-based multimodal biometric authentication system. …”
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Energy-efficient base station transmission design for green 5G massive MIMO and hybrid networks by Khodamoradi, Vahid

“…The proposed algorithm maximizes the EE by jointly optimizing the minimum data rate requirement, the number of BS antennas and users. …”
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Fair bandwidth distribution marking and scheduling algorithm in network traffic classification by Al-Kharasani, Ameen Mohammed Abdulkarem

“…Second, an Optimized time sliding window packet marker (OTSWTCM) algorithm. …”
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Adaptive antenna selection and power allocation in downlink massive MIMO systems by Salh, Adeeb, Audah, Lukman, M. Shah, Nor Shahida, A. Hamzah, Shipun

“…The achievable data rate is increased because the algorithm of ZFBF enables the choosing of the maximum power in relation to the optimal antenna selection. …”
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Color image enhancement of acute leukemia cells in blood microscopic image for leukemia detection sample by Harun, Nor Hazlyna, Abu Bakar, Juhaida, Abd Wahab, Zulkifli, Osman, Muhammad Khusairi, Harun, Hazaruddin

“…The segmentation algorithm uses saturation S-component based on Hue, Saturation, Intensity (HSI) color model. …”
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Efficient mobile video transmission based on a joint coding scheme by Azni, Mohamed, Boudjadja, Rima, Dahmani, Abdelnasser, Zennir, Mohamed Nadjib

“…The purpose of this work is on one hand to minimize the Packet Loss Rate (PLR) and, on the other hand to maximize the visual quality of video transmitted over a wireless network (WN).The scheme proposed is founded on a FEC adaptable with the semantics of the H.264/AVC video encoding.This mechanism relies upon a rate distortion algorithm, controlling the channel code rates under the global rate constraints given by the WN.Based on a data partitioning (DP) tool, both packet type and packet length are taken into account by the proposed optimization mechanism which leads to unequal error protection (UEP). …”
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Dynamic reconfiguration of large-scale PV plant using based on specified switching matrix and genetic algorithm to mitigate partial shading by Aidha Muhammad Ajmal

“…In the second stage, Genetic Algorithm (GA) is applied to optimize the output, via rearranging the columns in PV plants to find the optimal solution of reconfiguration. …”

Unequal error protection of H.264/AVC video transmitted over wireless network by Rima, Boudjadja, Mohamed, Azni, Nadjib, Zennir M.

“…This work focus on the problem linked to the transmission of real time video over packet wireless network.Our objective is to define mechanism able to insuring a quality of video in spite to the problems of packet losses and transmission delays characterizing this type of network.The proposed mechanism is based Forward Error Correction (FEC) compatible with the H.264/AVC standard.This mechanism relies on a ratedistortion algorithm controlling the channel rates under a global rate constraint given by the network.This optimization takes into account the type of packet and his length; the tool of data portioning is used in our proposition.This mechanism leading to an unequal error protection of different units of coded sequence.A Reed-Solomon channel coding in application layer is adapted to unequal protected data.The experimentation results indicate the efficiency of our proposition compared to the equal error protection.…”
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Exploring dynamic self-adaptive populations in differential evolution by Teo, Jason Tze Wi

“…In this paper, we present a first attempt at self-adapting the population size parameter in addition to self-adapting crossover and mutation rates. …”
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An improvement of stochastic gradient descent approach for mean-variance portfolio optimization problem by S. W. Su, Stephanie, Kek, Sie Long

“…,e results show that the rate of convergence of the Adam algorithm is significantly enhanced by using the AdamSE algorithm. …”
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Impacting clinical evaluation of anterior talofibular ligament injuries through analysis of ultrasound images by Singh, V., Elamvazuthi, I., Jeoti, V., George, J., Swain, A., Kumar, D.

“…The enhanced contrast image is further optimized by the particle swarm optimization algorithm. …”
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Impacting clinical evaluation of anterior talofibular ligament injuries through analysis of ultrasound images by Singh, V., Elamvazuthi, I., Jeoti, V., George, J., Swain, A., Kumar, D.

“…The enhanced contrast image is further optimized by the particle swarm optimization algorithm. …”
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Optimising neural network training efficiency through spectral parameter-based multiple adaptive learning rates by Yeong, Lin Koay, Hong, Seng Sim, Yong, Kheng Goh, Sing, Yee Chua, Wah, June Leong

“…The process of training neural networks heavily involves solving optimization problems. Most optimization algorithms use a !…”
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Radiomics analysis and supervised machine learning model for classification of cervical cancer images using diffusion weighted imaging-MRI by Ramli, Zarina

“…Additionally, the SVM algorithm was evaluated based on its performance across different DWI bvalues, aiming to optimize scanning time. …”
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Adaptive route optimization for mobile robot navigation using evolutionary algorithm by Kit Guan Lim, Guan Lim, Yoong Hean Lee, Hean Lee, Min Keng Tan, Keng Tan, Hou, Pin Yoong, Tienlei, Wang, Tze, Kenneth Kin Teo

“…For example, Ant Colony Optimization (ACO) is an optimization algorithm based on swarm intelligence which is widely used to solve path planning problem. …”
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Performance improvement for infiltration rate prediction using hybridized Adaptive Neuro-Fuzzy Inferences System (ANFIS) with optimization algorithms by Ehteram M., Yenn Teo F., Najah Ahmed A., Dashti Latif S., Feng Huang Y., Abozweita O., Al-Ansari N., El-Shafie A.

Fuzzy adaptive emperor penguin optimizer for global optimization problems by Md Abdul, Kader

“…The Emperor Penguin Optimizer (EPO) is a recently developed population-based metaheuristic algorithm that simulates the huddling behaviour of emperor penguins. …”
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An experimental study of a fuzzy adaptive emperor penguin optimizer for global optimization problem by Kader, Md. Abdul, Zamli, Kamal Z., Alkazemi, Basem Yousef

“…To alleviate these problems, an adaptive mechanism can be introduced in EPO. This paper proposes a fuzzy adaptive variant of EPO, namely Fuzzy Adaptive Emperor Penguin Optimizer (FAEPO), to solve this problem. …”
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Optimizing Adaptive Neuro Fuzzy Inference System (Anfis) With Dragonfly Algorithm For Cardiovascular Disease by Jinjiri, Wada Mohammed

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Attack path selection optimization with adaptive genetic algorithms by Abd Rahman, A.S., Zakaria, M.N., Masrom, S.

“…We describe our approach for implementing an optimized security assessment using Genetic Algorithm (GA). …”
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