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

"…Whilst different models are proposed for STLF, they are based on small historical datasets and are not scalable to process large amounts of big data as energy consumption data grow exponentially in large electric distribution networks. …"

Digital twin in energy industry: Proposed robust digital twin for power plant and other complex capital-intensive large engineering systems حسب Ahmad K. Sleiti (14778229)

"…Furthermore, this paper demonstrates the advantages of the developed ADL algorithm approach and DSM prediction of the DT using vector autoregressive model for anomaly detection in utility gas turbines with data from an operational power plant.…"

Detection of statistically significant network changes in complex biological networks حسب Raghvendra Mall (581171)

"…In addition, its application highlights several novel candidates that cannot be detected by standard single network-based approaches.…"

Convergence and steady-state analysis of the normalized least mean fourth algorithm حسب Zerguine, Azzedine

Convergence and steady-state analysis of the normalized least mean fourth algorithm حسب Zerguine, Azzedine

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The buffered work-pool approach for search-tree based optimization algorithms حسب Abu-Khzam, Faisal N.

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Modified arithmetic optimization algorithm for drones measurements and tracks assignment problem حسب Abu Zitar, Raed

"…In particular, a new modified method based on the Arithmetic Optimization Algorithm is proposed. …"
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An ant colony optimization algorithm to improve software quality prediction models حسب Azar, D.

"…We use an ant colony optimization algorithm in the adaptation process. The approach is validated on stability of classes in object-oriented software systems and can easily be used for any other software quality characteristic. …"
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Evolutionary algorithms for state justification in sequential automatic test pattern generation حسب El-Maleh, Aiman H.

"…Evolutionary algorithms have been effective in solving many search and optimization problems. …"
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Detecting Arabic Cyberbullying Tweets in Arabic Social Using Deep Learning حسب ALFALASI, FARIS Jr

"…Pre-processing is a vital part of the data preparation process for cyberbullying detection. …"
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Unsupervised Deep Learning for Classification Of Bats Calls Using Acoustic Data حسب Arshad, Muhammad Arbab

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Customs Trade Facilitation and Compliance for Ecommerce using Blockchain and Data Mining حسب Alqaryouti, Omar

"…An integrated web application is developed to mock up the end-to-end process in ecommerce. Additionally, the Cross Industry Standard Process for Data Mining (CRISP-DM) methodology is employed for modelling the two proposed clustering algorithms to identify transactional risks. …"
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Growing hierarchical self-organizing map for filtering intrusion detection alarms حسب Mansour, Nashat

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I Will Survive: An Event-driven Conformance Checking Approach Over Process Streams حسب Raun, Kristo

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Efficient XML Structural Similarity Detection using Sub-tree Commonalities حسب Tekli, Joe

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PROVOKE: Toxicity trigger detection in conversations from the top 100 subreddits حسب Hind Almerekhi (7434776)

"…Implications are that toxicity trigger detection algorithms can leverage generic approaches but must also tailor detections to specific communities.…"

A decoding algorithm for I-Q space-time coded systems in fadingenvironments حسب Zummo, S.A.

"…Therefore, a simplified decoding algorithm is proposed. It is based on symbol-by-symbol detection of the Q/I components in the I/Q decoders. …"
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Exploring Sentiment Analysis using Different Machine Learning Algorithms on Dialectal Arabic حسب AL MANSOORI, MOUZA

"…The study explores sentiment analysis using different machine learning algorithms on dialectal Arabic text dataset. In this study, we used twitter as our data source. …"
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Application of Machine Learning Algorithms to Enhance Money Laundering and Financial Crime Detection حسب HAMDALLAH, KHALID WAJIH TURKI

"…In order to analyze the performance of machine learning algorithms, data was provided by a bank to be used for educational purposes and shall remain undisclosed. …"
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A Bayesian Deep Learning Approach With Convolutional Feature Engineering to Discriminate Cyber-Physical Intrusions in Smart Grid Systems حسب Devinder Kaur (264278)