NEW ALGORITHMS FOR SOLVING THE FUZZY CLUSTERING PROBLEM حسب Kamel, M.S.

"…Two new algorithms for fuzzy clustering are presented. Convergence of the proposed algorithms is proved. …"
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Computational Experience On Four Algorithms For The Hard Clustering Problem حسب AlSultan, K.S.

"…We test these algorithms on several clustering problems from the literature as well as several random problems and we report on our computational experience.…"
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A Fast and Robust Gas Recognition Algorithm Based on Hybrid Convolutional and Recurrent Neural Network حسب Xiaofang Pan (1895950)

A static test compaction technique for combinational circuits based on independent fault clustering حسب Osais, Y.E.

"…The algorithm is referred to as independent fault clustering. …"
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Efficient Test Compaction for Combinational Circuits Based on Fault Detection Count-Directed Clustering حسب El-Maleh, Aiman H.

"…In this paper, we present a new static test compaction algorithm based on test vector decomposition and clustering. …"
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A hybrid distributed test generation method using deterministic and genetic algorithms حسب Harmanani, H.

"…The algorithm is parallelized based on a cluster of workstations using the message passing interface (MPI) library. …"
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CNN and HEVC Video Coding Features for Static Video Summarization حسب Issa, Obada

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Orthogonal Learning Rosenbrock’s Direct Rotation with the Gazelle Optimization Algorithm for Global Optimization حسب Abu Zitar, Raed

"…Moreover, eight data clustering problems taken from the UCI repository were tested to verify the proposed method’s performance further. …"
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Novel algorithms for accurate DNA base-calling حسب Mohammed, Omniyah Gul

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Predicting Patient ICU Readmission Using Recurrent Neural Networks With Long Short-Term Memory حسب Nadia Rasheed (22997257)

A portable message passing distributed library for optimizing combinatorial problems with application to circuits testing. (c2007) حسب Maamoun, Ahmad

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The Use of Microwave Tomography in Bone Healing Monitoring حسب Alkhodari, Mohanad Ahmed

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A Hybrid Deep Learning Model Using CNN and K-Mean Clustering for Energy Efficient Modelling in Mobile EdgeIoT حسب Dhananjay Bisen (19482454)

"…The proposed method, existing weighted clustering algorithm (WCA), and agent-based secure enhanced performance approach (AB-SEP) are tested over the network dataset. …"

Day-Ahead Load Demand Forecasting in Urban Community Cluster Microgrids Using Machine Learning Methods حسب Sivakavi Naga Venkata Bramareswara Rao (15944992)

"…The effectiveness of these optimization algorithms is verified in terms of training, test, validation, and error analysis. …"

Sensitivity analysis and genetic algorithm-based shear capacity model for basalt FRC one-way slabs reinforced with BFRP bars حسب Abathar Al-Hamrani (16494884)

"…Finally, a design equation that can predict the shear capacity of one-way BFRC-BFRP slabs was proposed based on genetic algorithm. The proposed model showed the best prediction accuracy compared to the available design codes and guidelines with a mean of predicted to experimental shear capacities (V_pred/V_exp) ratio of 0.97 and a coefficient of variation of 17.91%.…"

Deep Learning-Based Coding Strategy for Improved Cochlear Implant Speech Perception in Noisy Environments حسب Billel Essaid (22047578)

Deep Learning-Based Short-Term Load Forecasting Approach in Smart Grid With Clustering and Consumption Pattern Recognition حسب Dabeeruddin Syed (16864260)

"…A k-Medoid based algorithm is employed for clustering whereas the forecasting models are generated for different clusters of load profiles. …"

Clustering Tweets to Discover Trending Topics about دبي (Dubai) حسب ALYALYALI, SALAMA KHAMIS SALEM KHAMIS

"…After this, log results into k- mean clustering algorithm with cosine similarity to measure similarity between objects of each cluster. …"
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Diagnostic structure of visual robotic inundated systems with fuzzy clustering membership correlation حسب Hariprasath Manoharan (14157966)

"…In the predicted model, an analytical framework is created to operate the robot within predetermined areas while maximizing communication ranges. Additionally, a clustering algorithm with a fuzzy membership function is implemented, allowing the robots to advance in accordance with predefined clusters and arrive at their starting place within a predetermined amount of time. …"

Competitive learning/reflected residual vector quantization for coding angiogram images حسب Mourn, W.A.H.

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