Heuristics for graph decomposition حسب Mansour, N.

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A Survey of Deep Learning Approaches for the Monitoring and Classification of Seagrass حسب Uzma Nawaz (21980708)

"…The collection of digital images for monitoring underwater habitats, such as seagrass meadows, has increased significantly as recent progress in imaging technology has made it easier to collect high-resolution data. The increase in imagery data has in turn created a demand for automated detection and classification using deep neural network-based techniques. …"

On the P-type learning control حسب Saab, Samer S.

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A MIMO Sampling-Rate-Dependent Controller حسب Saab, Samer S.

"…A sampling-rate-dependent (SRD) controller is proposed for the uniform output tracking problem of multiinput multioutput discrete time-varying linear systems. A proportional-integral-derivative (PID) controller is a special case of the proposed controller. …"
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A Machine Learning Approach to Predicting Diabetes Complications حسب Jian, Yazan Khaled

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Theory of P-type learning control with implication for the robot manipulator حسب Saab, Samer S.

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Machine Learning Model for a Sustainable Drilling Process حسب Alsaidi, Ola

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The role of Reinforcement Learning in software testing حسب Amr Abo-eleneen (17032284)

"…</p><h3>Results</h3><p dir="ltr">This study highlights different software testing types to which RL has been applied, commonly used RL algorithms and architecture for learning, challenges faced, advantages and disadvantages of using RL, and the performance comparison of RL-based models against other techniques.…"

Fear from COVID-19 and technology adoption: the impact of Google Meet during Coronavirus pandemic حسب Saeed Al-Maroof, Rana

"…The data obtained from the study were analyzed by using the partial least squares structural equation modeling (PLS-SEM) and machine learning algorithms. …"
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Lightweight blockchain solutions: Taxonomy, research progress, and comprehensive review حسب Mershad, Khaleel

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A machine learning approach for localization in cellular environments حسب Abdallah, Ali A.

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A Novel Approach for Detecting Anomalous Energy Consumption Based on Micro-Moments and Deep Neural Networks حسب Yassine Himeur (14158821)

"…This paper introduces a new solution to detect energy consumption anomalies based on extracting micro-moment features using a rule-based model. The latter is used to draw out load characteristics using daily intent-driven moments of user consumption actions. …"

Recent advances on artificial intelligence and learning techniques in cognitive radio networks حسب Abbas, Nadine

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The maximum common subgraph problem حسب Abu-Khzam, Faisal N.

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A Concurrency control model for multilevel secure object-oriented databases حسب Haraty, Ramzi

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Combinatorial method for bandwidth selection in wind speed kernel density estimation حسب El Dakkak, Omar

"…This goal calls for devising probabilistic models with adaptive algorithms that accurately fit wind speed distributions. …"
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Sentiment Analysis of Dialectal Speech: Unveiling Emotions through Deep Learning Models حسب EZZELDIN, KHALED MOHAMED KHALED

"…Dialect Speech Sentiment Analysis is an evolutional field where machine learning algorithms are utilized to detect emotions in spoken language. …"
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Optimality of first-order ILC among higher order ILC حسب Saab, Samer S.

"…Higher order iterative learning control (HO-ILC) algorithms use past system control information from more than one past iterative cycle. …"
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Optimal Planning of Distributed Generators and Shunt Capacitors in Isolated Microgrids With Nonlinear Loads حسب Yazdavar, Ameen H.

"…The effectiveness of the proposed planning approach has been validated using the PG&E 69-bus system, and the followings are observed: 1) the significance of applying suitable fundamental-power-flow and harmonic-power-flow algorithms for isolated microgrids, and 2) the possibility of avoiding a severe voltage distortion by utilizing an appropriate planning method and only small increase in the cost.…"
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FESP. (c1995) حسب Haidar, Kamal

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