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1
Max-average: an extended max-min scheduling algorithm for Grid computing environtment
Published 2016“…This paper presents a new proposed grid based scheduling algorithm called Max-Average, inspired from Max-Min algorithm. …”
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An improvement of stochastic gradient descent approach for mean-variance portfolio optimization problem
Published 2021“…Furthermore, the applicability of SGD, Adam, AdaMax, Nadam, AMSGrad, and AdamSE algorithms in solving the mean-variance portfolio optimization problem is validated.…”
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Reactive max-min ant system: An experimental analysis of the combination with K-OPT local searches
Published 2015“…The exploration versus exploitation dilemma rises in ACO search.Reactive max-min ant system algorithm is a recent proposition to automate the exploration and exploitation.It memorizes the search regions in terms of reactive heuristics to be harnessed after restart, which is to avoid the arbitrary exploration later.This paper examined the assumption that local heuristics are useless when combined with local search especially when it applied for combinatorial optimization problems with rugged fitness landscape.Results showed that coupling reactive heuristics with k-Opt local search algorithms produces higher quality solutions and more robust search than max-min ant system algorithm.Well-known combinatorial optimization problems are used in experiments, i.e. traveling salesman and quadratic assignment problems. …”
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4
Enhancing the QoS performance for mobile station over LTE and WiMAX networks / Mhd Nour Hindia
Published 2015“…Then, a multi criteria with two-threshold algorithm is proposed to prioritize the selection between the LTE and WiMAX as target technologies. …”
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5
Adaptive resource allocation algorithms with QoS support in OFDMA-based WiMAX networks
Published 2014“…In Worldwide Interoperability for Microwave Access (WiMAX) the primary concern is Quality of Service (QoS) support which aims to satisfy the diverse service requirements and to guarantee higher data rates allocation for different service classes. …”
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6
Prediction and multi-criteria-based schemes for seamless handover mechanism in mobile WiMAX networks
Published 2013“…Mobile WiMAX introduces several interesting advantages including last mile wireless access, variable and high data rate, point to multi-point communication, large frequency range and QoS (Quality of Service) for various types of applications. …”
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7
Single Fitness Function to Optimize Energy using Genetic Algorithms for Wireless Sensor Network
Published 2024journal::journal article -
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The cumulative capacitated vehicle routing problem with min-sum and min-max objectives: An effective hybridisation of adaptive variable neighbourhood search and large neighbourhood...
Published 2017“…When tested on the benchmark data sets, the results show that the proposed AVNS is highly competitive in producing new best known solutions to more than half of the instances. …”
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Modelling Of A New Fully Hybrid Spectrum Sharing Approach Fifth Generation Cellular Operators
Published 2020“…Whereas, the new HAQ-mUA was presented to assign a typical user to the serving mCell, which offers the highest achievable data rate. The proposed FHSS based on the HAQ-mUA algorithm was compared with recent works and with both the FHSS approach based on the most conventional max-SINR mUA algorithm and the baseline scenario (utilizing licensed spectrum access). …”
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Design of an OFDM transmitter and receiver using FPGA
Published 2004“…The 8 points IFFT / FFT decimation-in-frequency (DIF) with radix-2 algorithm is analyzed in detail to produce a solution that is suitable for FPGA implementation. …”
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12
Lambda-max criteria weight determination in an adaptive neuro-fuzzy inference system / Rosma Mohd Dom, Daud Mohamad and Ajab Bai Akbarally
Published 2012“…A neuro-fuzzy system is a fuzzy system that uses learning algorithms derived from or inspired by neural network theory to determine its parameters (fuzzy sets and fuzzy rules) by processing data samples. …”
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Research Reports -
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The effect of pre-processing techniques and optimal parameters on BPNN for data classification
Published 2015“…The architecture of artificial neural network (ANN) laid the foundation as a powerful technique in handling problems such as pattern recognition and data analysis. It’s data-driven, self-adaptive, and non-linear capabilities channel it for use in processing at high speed and ability to learn the solution to a problem from a set of examples. …”
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Deterministic Automatic Test Pattern Generation for Built-In Self Test System
Published 2006“…Only one basic cell of the parallel A/S is required to determine the test pattern by considering the data flow from one cell to another. Identical test data can then be applied to both A/S inputs simultaneously. …”
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15
Adaptive and optimized radio resource allocation algorithms for OFDMA based networks
Published 2015“…As users can be categorized into two types, which are service sensitive such as specific delay and rate requirement, and the other is for those who do not have specific service delay or throughput requirements, AORAA considers this and contains the solutions with required formula and algorithm to implement. …”
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Embedded Artificial Intelligent (AI) To Navigate Cart Follower
Published 2018“…The training algorithm may also vary with different sets of parameters, number of neurons and activation function. …”
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New correlation for oil formation volume factor
Published 2014“…The data consist of solution gas-oil ratio (Rs), βo, oil viscosity (μ,o), oil gravity (γo), gas gravity (γg) and temperature (T). …”
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Face anti-spoofing using Convolutional Neural Networks / Siti Nurul Izzah Bahrain
Published 2024“…In this project, the Convolutional Neural Network (CNN) algorithm was implemented using TensorFlow in Python to detect fake face images. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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FRGS-13-081-0322/ design and modelling of novel dynamic bandwidth aggregation scheme in heterogeneous wireless network (hwn) for mission critical applications
Published 2018“…The amount of bandwidth has been calculated to transmit 600Kbps data over the three networks where 225Kbps, 141Kbps and 233.33Kbps have been transmitted through, WiFi, Cellular and WiMAX networks respectively. …”
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Monograph
