Creating and detecting fake reviews of online products by Joni Salminen (7434770)

“…Using the better model, GPT-2, we create a dataset for a classification task of fake review detection. …”

ML-Based Handover Prediction and AP Selection in Cognitive Wi-Fi Networks by Muhammad Asif Khan (7367468)

“…Recently, cognitive network architectures using sophisticated learning techniques are increasingly being applied to such problems. …”

Parallel processing by Mansour, Nashat

“…The parallel genetic algorithm is based on a model of natural evolution. …”
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A Novel Centrality-Based Approach for Link Prediction by El Khoury, Elissa Lichaa

“…Namely, we consider weighted betweenness, closeness and Katz centralities, in addition to the Resource Allocation and Adamic-Adar indices. We also use a genetic algorithm to optimize the weights of these metrics, reflecting their contributions to link prediction. …”
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Defining quantitative rules for identifying influential researchers: Insights from mathematics domain by Ghulam Mustafa (458105)

“…The rules were developed for each parameter category using the Decision Tree Algorithm, which achieved an average accuracy of 70 to 75 percent for identifying awardees in mathematics domains. …”

Spherical cavity-expansion forcing function in PRONTO 3D for application to penetration problems by Tabbara, Mazen R.

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An automated temporal partitioning tool for a class of DSP applications by Ouaiss, Iyad

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Investigating the Impact of Skylights and Atrium Configurations on Visual Comfort and Daylight Performance in Dubai Shopping Malls by SANAD, AYMAN ADEL AHMED

“…Field measurements and computer simulations are conducted to model and validate daylight performance. Annual simulations are used to assess seasonal variations, while sensitivity analysis identifies key parameters. …”
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Enhancing e-learning through AI: advanced techniques for optimizing student performance by Rund Mahafdah (21399854)

“…The main goals consist of creating an AI-based framework to monitor and analyze student interactions, evaluating the influence of online learning platforms on student understanding using advanced algorithms, and determining the most efficient methods for blended learning systems. …”

Control of cardiac alternans by mechanical and electrical feedback by Yapari, Felicia

“…Complimentary to these studies, a three variable Nash-Panfilov model is used to investigate alternans annihilation via mechanical (or stretch) perturbations. …”
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Resources Allocation for Drones Tracking Utilizing Agent-Based Proximity Policy Optimization by De Rochechouart, Maxence

“…In particular, the Proximity Policy Optimization (PPO) reinforcement algorithm is used to discover a policy for sensor selection that results in optimum sensor resource allocation. …”
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An automated temporal partitioning and loop fission approach for FPGA based reconfigurable synthesis of DSP applications by Ouaiss, I.

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Multi-Classifier Tree With Transient Features for Drift Compensation in Electronic Nose by Atiq Ur Rehman (8843024)

“…These electronic instruments rely on Machine Learning (ML) algorithms for recognizing the sensed odors. The effect of long-term drift influences the performance of ML algorithms and the models those are trained on drift free data fail to perform on the drifted data. …”

Improving the security of SNMP in wireless networks by Otrok, H.

“…Three very important security features (authentication, encryption, access control) are added to SNMPv3 under the user-based security model (USM). Symmetric cryptography is used for encryption and one-way cryptography is used for authentication. …”
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Robustness evaluation of real-Time Protocols by Tarhini, Abbas

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Computational evluation of protein energy functions by Mansour, Nashat

“…Our findings show that the CHARMM energy model tends to be more appropriate for ab initio computational techniques that predict protein structures. …”
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Joint BS Assignment and End-to-End Scheduling for Wireless Cellular Networks with Heterogeneous Services by Saad, Walid

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Estimation of power grid topology parameters through pilot signals by Hargossian, H.

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Robustness testing of composed real-time systems by Fouchal, Hacène

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

“…The proposed approach only assumes knowledge of RSS fingerprints of the environment, and does not require knowledge of the cellular base transceiver station (BTS) locations, nor uses any RSS mathematical model. The proposed localization scheme integrates a weighted K-nearest neighbor (WKNN) and a multilayer neural network. …”
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