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

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)

Bird’s Eye View feature selection for high-dimensional data حسب Samir Brahim Belhaouari (16855434)

"…BEV incorporates elements of Evolutionary Algorithms with a Genetic Algorithm to maintain a population of top-performing agents, Dynamic Markov Chain to steer the movement of agents in the search space, and Reinforcement Learning to reward and penalize agents based on their progress. …"

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

Topics in graph algorithms حسب Abu-Khzam, Faisal Nabih

"…Coping with computational intractability has inspired the development of a variety of algorithmic techniques. The main challenge has usually been the design of polynomial time algorithms for NP-complete problems in a way that guarantees some, often worst-case, satisfactory performance when compared to exact (optimal) solutions. …"
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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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Particle swarm optimization algorithm: review and applications حسب Abualigah, Laith

"…Particle swarm optimization (PSO) is a heuristic global optimization technique and an optimization algorithm that is swarm intelligence-based. It is based on studies into the movement of bird flocks. …"
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Timing driven genetic algorithm for standard-cell placement حسب Sait, Sadiq M.

"…In this paper we present a timing-driven placer for standard-cell IC design. The placement algorithm follows the genetic paradigm. At early generations, the search is biased toward solutions with superior timing characteristics. …"
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Distributed dimension reduction algorithms for widely dispersed data حسب Abu-Khzam, F.N.

"…It runs in linear time and requires very little data transmission. A series of experiments is conducted to gauge how the algorithm’s emphasis on minimal data transmission affects solution quality. …"
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Exploring Semi-Supervised Learning Algorithms for Camera Trap Images حسب Sajun, Ali Reza

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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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Exploring Sentiment Analysis using Different Machine Learning Algorithms on Dialectal Arabic حسب AL MANSOORI, MOUZA

"…The results of this experiments indicate that when applying sentiment analysis on one specific dialect group, the performance accuracy is higher than the performance of sentiment analysis on the mix dialects dataset under same settings. …"
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RHEEMix in the data jungle: a cost-based optimizer for cross-platform systems. حسب Sebastian Kruse (18595195)

"…Our main contributions are: (i) a mechanism based on graph transformations to explore alternative execution strategies; (ii) a novel graph-based approach to determine efficient data movement plans among subtasks and platforms; and (iii) an efficient plan enumeration algorithm, based on a novel enumeration algebra. …"

Optimizing Energy Consumption In Cloud Datacenters حسب Khan, Mueez Ahmad

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Incremental and Heuristic Algorithms for Deriving Adaptive Distinguishing Test Cases for Nondeterministic Finite State Machines حسب Saleh, Ayat

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Forecasting the Direction of GCC Stock Indexes Using Support Vector Machine (SVM) Algorithm حسب Zeino, Yaser Abdullah

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Integrated economic and environmental models for a multi stage cold supply chain under carbon tax regulation حسب Hariga, Moncer

"…The structural properties for the optimal solution of the three models are identified and solution algorithms are also proposed. Upon conducting computational experiments, it turns out that the incorporation of carbon related costs, through carbon tax regulation, may call for adjusting the adopted operational policy which results in a minor increase in the operational cost. …"
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