An improved HIC using a new ordering and grouping algorithm حسب Bentrcia, A.

"…A linear group-wise successive interference canceller in a synchronous CDMA system is considered in this work. The proposed hybrid detector that combines successive and parallel cancellation techniques makes use of advantages offered by the two techniques. …"
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An Efficient Tabu Search Algorithm For The Single-Machine Mean Tardiness Problem حسب Bendaya, M.

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An efficient approach for textual data classification using deep learning حسب Abdullah Alqahtani (7128143)

"…<p dir="ltr">Text categorization is an effective activity that can be accomplished using a variety of classification algorithms. In machine learning, the classifier is built by learning the features of categories from a set of preset training data. …"

AI-based remaining useful life prediction and modelling of seawater desalination membranes حسب Al Ali, Fajer

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LDSVM: Leukemia Cancer Classification Using Machine Learning حسب Abdul Karim (417009)

"…This study proposes a novel method using machine learning algorithms based on microarrays of leukemia GSE9476 cells. …"

Data Embedding in HEVC Video by Modifying the Partitioning of Coding Units حسب Shanableh, Tamer

"…The flags pertaining to 16x16 sub CUs are used as a cover for data embedding, where 6 or 4 message bits are embedded per CU. …"
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A decoding algorithm for I-Q space-time coded systems in fadingenvironments حسب Zummo, S.A.

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On the performance of fusion based planet-scope and Sentinel-2 data for crop classification using inception inspired deep convolutional neural network حسب Nasru Minallah (9427338)

Genetic Algorithm Control Strategy for Heat Pump System in Battery Electric Buses حسب Al Haddad, Rabih

"…This study proposes a genetic algorithm-based control strategy that optimizes the coefficient of performance of the HP system to decrease its energy consumption and maximize the driving range. …"
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An Effective Hybrid NARX-LSTM Model for Point and Interval PV Power Forecasting حسب Mohamed Massaoudi (16888710)

"…First, the NARXNN model acquires the data to generate a residual error vector. Then, the stacked LSTM model, optimized by Tabu search algorithm, uses the residual error correction associated with the original data to produce a point and interval PVPF. …"

Implementation and Comparison of Particle Swarm Optimization and Genetic Algorithm Techniques in Combined Economic Emission Dispatch of an Independent Power Plant حسب Shahbaz Hussain (9765320)

"…The results are of great significance as the real data of an IPP is used and imply that the performance of PSO is better than that of GA in case of CEED for finding the optimal solution concerning fuel cost, emission, convergence characteristics, and computational time. …"

Transmission Line Fault Location Using Unsynchronized Measurements حسب Hussain, Shoaib

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Auto-indexing Arabic texts based on association rule data mining. (c2015) حسب Rouba G. Nasrallah

"…Our model denotes extracting new relevant words by relating those chosen by the previous classical methods, to new words using data mining rules. The model uses the Apriori Algorithm - an association rule algorithm for extracting frequent sets containing related items - to extract relations between words in the texts to be indexed with words from texts that belong to the same category. …"
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Unsupervised Deep Learning for Classification Of Bats Calls Using Acoustic Data حسب Arshad, Muhammad Arbab

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Design of PSS and STATCOM-based damping stabilizers using genetic algorithms حسب Abido, M.A.

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Comparative analysis of metaheuristic load balancing algorithms for efficient load balancing in cloud computing حسب Jincheng Zhou (1887307)

"…This paper provides a comparative analysis of various metaheuristic load balancing algorithms for cloud computing based on performance factors i.e., Makespan time, degree of imbalance, response time, data center processing time, flow time, and resource utilization. …"

Optimum Partition of Power Networks Using Singular Value Decomposition and Affinity Propagation حسب Maymouna Ez Eddin (21633650)

"…The proposed framework is verified on IEEE 14, 39, 118, and 2000-bus systems and compared to nine other well-known and widely used clustering techniques, including K-Means and Gaussian Mixture models. …"

Spectrum Sensing Algorithms for Cooperative Cognitive Radio Networks حسب Hassan, Yasmin Adel

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A Comparative Study of RSA based Cryptographic Algorithms حسب Haraty, Ramzi A.

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A Dynamic Programming Algorithm For Days-Off Scheduling With Sequence Dependent Labor Costs حسب Elshafei, M

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