A Fast and Robust Gas Recognition Algorithm Based on Hybrid Convolutional and Recurrent Neural Network حسب Xiaofang Pan (1895950)

A new approach to record clustering for large databases. (c1997) حسب Makhoulian, Raffi H.

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CNN and HEVC Video Coding Features for Static Video Summarization حسب Issa, Obada

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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)

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

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

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Automatic Video Summarization Using HEVC and CNN Features حسب Issa, Obada

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Kernelization algorithms for the vertex cover problem حسب Abu-Khzam, Faisal N.

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Scalable parallel algorithms for difficult combinatorial problems حسب Abu-Khzam, Faisal N.

"…A novel combination of emergent algorithmic methods, powerful computational platforms and supporting infrastructure is described. …"
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A novel linear time corner detection algorithm حسب Sarfraz, M.

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Efficient heuristic algorithms for influence propagation in social networks. (c2018) حسب Lamaa, Karine H.

"…Our experiments on a variety of social (sub) networks show that our algorithms can almost always manage to extract a small set of influencers through which we can effectively propagate a message throughout the whole network.…"
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An image processing and genetic algorithm-based approach for the detection of melanoma in patients حسب Tokajian, Sima

"…However, these methods are not always well founded because they depend heavily on the physician’s experience. Hence, there is a great need for a new automated approach in order to make diagnosis more reliable. …"
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A non-convex economic load dispatch problem using chameleon swarm algorithm with roulette wheel and Levy flight methods حسب Abu Zitar, Raed

"…An Enhanced Chameleon Swarm Algorithm (ECSA) by integrating roulette wheel selection and Lévy flight methods is presented to solve non-convex Economic Load Dispatch (ELD) problems. …"
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Sample intelligence-based progressive hedging algorithms for the stochastic capacitated reliable facility location problem حسب Nezir Aydin (8355378)

"…In this paper, we developed two novel algorithms integrating SAA and PHA for solving the CRFLP under uncertainty. …"

Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering حسب Abu Zitar, Raed

"…This paper proposes a new data clustering method using the advantages of metaheuristic (MH) optimization algorithms. …"

A dynamically turbo-charged heuristic for graph coloring. (c2018) حسب Chahine, Bachir

"…The recently introduced turbo-charging idea is further enhanced in this thesis by introducing a dynamic version of turbo-charging where the moment of regret and the rollback points are determined dynamically. Experiments comparing our turbo-charging algorithm to other heuristics were conducted on a number of known benchmarks. …"
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Efficient Approximate Conformance Checking Using Trie Data Structures حسب Awad, Ahmed

"…In this paper, we contribute a new formulation of the proxy behavior derived from a model for approximate conformance checking. …"
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Multi Self-Organizing Map (SOM) Pipeline Architecture for Multi-View Clustering حسب Saadia Jamil (22045946)

"…A self-organizing map is one of the well-known unsupervised neural network algorithms used for preserving typologies during mapping from the input space (high-dimensional) to the display (low-dimensional).An algorithm called Local Adaptive Receptive Field Dimension Selective Self-Organizing Map 2 is a modified form of a self-organizing Map to cater different data types in the dataset. …"

On-site workshop investment problem: A novel mathematical approach and solution procedure حسب Nima Moradi (19418821)

"…Next, due to the NP-hardness of the problem, an enhanced Genetic Algorithm (GA)-based metaheuristic with efficient problem-specific improvement rules as local search and effective crossover and mutation operators is proposed. …"