Search Results - weight distribution selection algorithm

Multi-objective Binary Clonal Selection Algorithm In The Retrieval Phase Of Discrete Hopfield Neural Network With Weighted Systematic Satisfiability by Romli, Nurul Atiqah

“…Therefore, this thesis proposes a new systematic Satisfiability logical rule namely Weighted Systematic 2 Satisfiability that uses a weighted feature to control the distribution of the negative literals. …”
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Selection of access network using cost function method in heterogeneous wireless network by Mohamad Tahir, Hatim, Al-Ghushami, Abdullah Hussein, Yahya, Zainor Ridzuan

“…This method covers the weight distribution and cost factor techniques.The weight distribution is used to measure different weights for existing wireless network based on the user's preference and mobile terminal power.The cost factor technique is also used to identify the cost for performing handover target by considering every network parameters and its weight.Results obtained showed that the algorithm has the ability to increase user's satisfaction compared to other algorithms, which consistently choose one accessible network.…”
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Short Text Classification Using An Enhanced Term Weighting Scheme And Filter-Wrapper Feature Selection by Alsmadi, Issa Mohammad Ibrahim

“…This research aims to investigate and develop solutions for feature discrimination and selection in short texts classification. For feature discrimination, we introduce a term weighting approach namely, simple supervised weight (SW), which considers the special nature of short text in terms of term strength and distribution. …”
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Peak pressure analysis of foot plantar distribution based on image processing algorithm by Sabry, Ali Hussein

“…The other main goal of this work is to create an algorithm which has the ability to formulate accurately and reliably the distribution of pressure over the foot plantar. …”
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Unsupervised logic mining with a binary clonal selection algorithm in multi-unit discrete Hopfield neural networks via weighted systematic 2 satisfiability by Romli, Nurul Atiqah, Zulkepli, Nur Fariha Syaqina, Kasihmuddin, Mohd Shareduwan Mohd, Zamri, Nur Ezlin, Rusdi, Nur 'Afifah, Manoharam, Gaeithry, Mansor, Mohd. Asyraf, Jamaludin, Siti Zulaikha Mohd, Malik, Amierah Abdul

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A Multi-Criteria Decision-Making Approach for Targeted Distribution of Smart Indonesia Card (KIP) Scholarships by Komang, Aryasa

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Enhancing the QoS performance for mobile station over LTE and WiMAX networks / Mhd Nour Hindia by Hindia, Mhd Nour

“…On the first level, bankruptcy and shapely value algorithm fairly distribute resources among smart grid applications. …”
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Levy slime mould algorithm for solving numerical and engineering optimization problems by J. J., Jui, M. A., Ahmad, M. I. M., Rashid

“…Therefore, for solving the SMA algorithm local optima problem, we used the Levy distribution rather than the conventional uniform distribution in the candidate selection procedure. …”
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A negotiation algorithm for decision-making in the construction domain by Idrus A., Mahmoud M.A., Ahmad M.S., Yahya A., Husen H.

Spectrum aware clustering algorithm based on fuzzy logic for sensor based monitoring application / Noorhayati Mohamed Noor …[et al.] by Mohamed Noor, Noorhayati, Md Din, Norashidah, Kasiran, Zolidah, Khalid, Nor Azimah, Abdullah, Shapina

“…Fuzzy logic and weight based techniques combines the four parameters for the CH selection. …”
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Energy-efficient communications in wireless powered cognitive radio networks based on game theory / Fadhil Mukhlif Aswad Al-Obaidy by Fadhil Mukhlif , Aswad Al-Obaidy

“…To address such challenges, this thesis proposes a theoretical framework for designing and analyzing the distributed power control algorithms in modern 5G cognitive networks. …”
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Multi-objective scientific workflow scheduling algorithm in multi-cloud environment for satisfying QoS requirements by Ramadhan, Mazen Farid Ebrahim

“…Second, to propose a minimum-weight-based multi-objective algorithm (MOS-MWO), which is based on Particle Swarm Optimization (PSO) technique and a novel minimum weight optimization approach, that improves user’s QoS satisfaction. …”
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Orientation and scale based weights initialization scheme for deep convolutional neural networks by Azizi Abdullah, Wong, En Ting

“…A crucial component in the CNN is the convolution filters which consist of a series of predefined filter weight initialization values. The filter weights are then automatically learned by the neural network throughout the back- propagation training algorithm. …”
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An adaptive localization system using particle swarm optimization in a circular distribution form by Alhammadi, Abdulraqeb, Hashim, Fazirulhisyam, Fadlee, Mohd, Shami, Tareq M.

“…The proposed algorithm uses PSO to generate several particles that have circular distribution around one access point (AP). …”
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Master-leader-slave cuckoo search with parameter control for ANN optimization and its real-world application to water quality prediction by Jaddi N.S., Abdullah S., Malek M.A.

Comparison of diverse ensemble neural network for large data classification by Mumtazimah, Mohamad, Md Yazid, Mohamad Saman

“…DRT is an enhanced algorithm based on distributed random for different neural networks. …”
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Accuracy enhancement for zone mapping of a solar radiation forecasting based multi-objective model for better management of the generation of renewable energy by Ehteram M., Ahmed A.N., Fai C.M., Afan H.A., El-Shafie A.

TB-FusionNet: a multi-scale feature fusion algorithm with spatial and channel cross-attention for tuberculosis detection by Ding, Zeyu, Yaakob, Razali, Tieng Wei, Koh, Azman, Azreen, Mohd Rum, Siti Nurulain, Zakaria, Nor Fadhlina, Ahmad Nazri, Azree Shahril

“…Through these operations, the model can dynamically adjust the weight distribution of local features and channels according to task requirements, thereby more flexibly adapting to the challenges of complex tasks. …”
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FSM-Gear weight-based energy-efficient protocol for illegal logging monitoring using firefly synchronization by Mutiara, Giva Andriana

“…The effort of low-power algorithm was conducted in several stages, such as (1) randomly distributed localization technique; (2) randomly applied clustering and cluster head selection; (3) the use of Time Division Multiple Access (TDMA) synchronization; and (4) how to formulate the distance factor to the power emitted by sensor nodes not based on the real environment. …”
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Development of lung cancer prediction system using meta-heuristic optimized deep learning model by Mohamed Shakeel, Pethuraj

“…These algorithms select the best features according to the fitness value, and its redundancy is to be reduced. …”
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