Estimation of the methanol loss in the gas hydrate prevention unit using the artificial neural networks: Investigating the effect of training algorithm on the model accuracy حسب Haitao Xu (435549)

"…The complex gas hydrate prevention unit is simulated using the MLPNN model trained by 20 different optimization algorithms. This study investigates the gradient-based, evolutionary, and Bayesian-based optimization algorithms. …"

Hybrid Deep Learning-based Models for Crop Yield Prediction حسب Alexandros Oikonomidis (12050497)

"…The algorithms evaluated in our study are the XGBoost machine learning (ML) algorithm, Convolutional Neural Networks (CNN)-Deep Neural Networks (DNN), CNN-XGBoost, CNN-Recurrent Neural Networks (RNN), and CNN-Long Short Term Memory (LSTM). …"

A decentralized load balancing strategy for parallel search-three optimization. (c2010) حسب Mouawad, Amer E.

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Drone Based Outdoor Insulator Inspection حسب Waleed, Danial

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Reliability and fault tolerance based topological optimization of computer networks - part I: enumerative techniques حسب Abd-El-Barr, Mostafa

"…They are based on enumerating all possible paths (for terminal reliability) and all the spanning trees (for network reliability). …"
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Reliability and fault tolerance based topological optimization of computer networks - part II: iterative techniques حسب Abd-El-Barr, Mostafa

"…We consider fault-tolerance to be an important network design aspect. We consider the use of three iterative techniques, namely tabu search, simulated annealing, and genetic algorithms, in solving the multiobjective topological optimization network design problem. …"
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Severity-Based Prioritized Processing of Packets with Application in VANETs حسب Ala Al-Fuqaha (4434340)

"…In this study, we propose a generic prioritization and resource management algorithm that can be used to prioritize processing of received packets in vehicular networks. …"

Extreme Early Image Recognition Using Event-Based Vision حسب Abubakar Abubakar (18278998)

"…<p dir="ltr">While deep learning algorithms have advanced to a great extent, they are all designed for frame-based imagers that capture images at a high frame rate, which leads to a high storage requirement, heavy computations, and very high power consumption. …"

Simultaneous identification of robust synergistic subnetwork markers for effective cancer prognosis حسب Navadon Khunlertgit (3480926)

"…The proposed method utilizes an efficient message-passing algorithm called affinity propagation, based on which we identify groups – or subnetworks – of discriminative and synergistic genes, whose protein products are closely located in the protein-protein interaction (PPI) network. …"

Edge Caching in Fog-Based Sensor Networks through Deep Learning-Associated Quantum Computing Framework حسب Tayyabah Hasan (18427887)

"…<div><p>Fog computing (FC) based sensor networks have emerged as a propitious archetype for next-generation wireless communication technology with caching, communication, and storage capacity services in the edge. …"

A degree-based heuristic for strongly connected dominating-absorbent sets in wireless ad-hoc networks حسب Abu-Khzam, Faisal N.

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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. …"

ZigBee-Based Tangible Input Devices حسب Khan, Waqqas Munir

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An enhanced quorum selection algorithm حسب Haraty, Ramzi A.

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Spectral energy balancing system with massive MIMO based hybrid beam forming for wireless 6G communication using dual deep learning model حسب Ramesh Sundar (19326046)

"…In this paper, a Dual-Deep-Network technique is described for the extraction of statistical structures from a hybrid beam forming model based on mmWave logics, as well as training logic for the network map functions. …"

Improving MRI Resolution: A Cycle Consistent Generative Adversarial Network-Based Approach for 3T to 7T Translation حسب Zakaria Shams Siam (22048001)

"…In this study, we have adopted a cycle consistent generative adversarial network (CycleGAN)-based approach for 3T MRI to 7T MRI translation, and vice versa, using a recently published dataset of paired T1-weighted MR images collected at 3T and 7T from a total of ten subjects. …"

TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection حسب Zina Chkirbene (16869987)

"…In this paper, we propose two models for intrusion detection and classification scheme Trust-based Intrusion Detection and Classification System (TIDCS) and Trust-based Intrusion Detection and Classification System- Accelerated (TIDCS-A) for secure network. …"

Active distribution network type identification method of high proportion new energy power system based on source-load matching حسب Qinlin, Shi

"…Here, we report an active distribution network type identification method based on source-load matching. …"
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Deep Learning-Based Short-Term Load Forecasting Approach in Smart Grid With Clustering and Consumption Pattern Recognition حسب Dabeeruddin Syed (16864260)

"…A k-Medoid based algorithm is employed for clustering whereas the forecasting models are generated for different clusters of load profiles. …"

Student advising decision to predict student's future GPA based on Genetic Fuzzimetric Technique (GFT) حسب Kouatli, Issam

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