Downlink channel estimation for IMT-DS by Faisal, S.

“…To obtain channel estimates during pilot symbols, we propose a chip level adaptive channel estimation which performs better than the conventional method. …”
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A conjugate self-organizing migration (CSOM) and reconciliate multi-agent Markov learning (RMML) based cyborg intelligence mechanism for smart city security by S. Shitharth (12017480)

“…Therefore, the proposed work intends to implement a group of novel methodologies for developing an effective Cyborg intelligence security model to secure smart city systems. …”

DNA Base-Calling Techniques by Odeh, Fadi

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Artificial Intelligence in Predicting Cardiac Arrest: Scoping Review by Asma Alamgir (18288895)

“…Most of the studies used data sets with a size of <10,000 samples (32/47, 68%). Machine learning models were the most prominent branch of AI used in the prediction of cardiac arrest in the studies (38/47, 81%), and the most used algorithm was the neural network (23/47, 49%). …”

Low Cost Autopilot Design Using Fuzzy Supervisory Control by Hadi, Mahmoud

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Isolating Physical Replacement of Identical IoT Devices Using Machine and Deep Learning Approaches by Mohammad, Areej Osama

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A feature‐based approach for guiding the selection of Internet of Things cybersecurity standards using text mining by Koen Schaaf (14778139)

“…Third, a text mining algorithm has been implemented. Fourth, the systematic approach has been modeled using business process modeling notation. …”

A Full-System Approach of the Elastohydrodynamic Line/Point Contact Problem by Habchi, Wassim

“…The use of the finite element method allows the use of variable unstructured meshing and different types of elements within the same model which leads to a reduced size of the problem. …”
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Spectral energy balancing system with massive MIMO based hybrid beam forming for wireless 6G communication using dual deep learning model by Ramesh Sundar (19326046)

“…The performance level improvements are practically summarized in both the transmission and reception entities with the help of the proposed hybrid network architecture and the associated Dual Deep Network algorithm. …”

A stochastic PID controller for a class of MIMO systems by Saab, Samer S.

“…The implementation of the proposed algorithm is described and boundedness of trajectories and convergence characteristics are presented for a discretised continuous-time model. …”
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Brain Source Localization in the Presence of Leadfield Perturbations by Momin, Rabiya Nakhat

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Automated skills assessment in open surgery: A scoping review by Hawa Hamza (17707224)

“…In the review, we compare conventional methods such as statistical modeling and custom algorithms with the emerging AI-based approaches. …”

Adaptive temperature control of a reverse flow process by using reinforcement learning approach by A. Binid (22046054)

“…Additionally, a second algorithm is presented to enhance the implementability of the reinforcement learning algorithm from a practical perspective. …”

“Adaptive Control Technique Using Multilayer Feedforward Neural Networks” by Al-Duwaish, H.

“…The controlled process is approximated at each sampling time by a linear time-invariant (LTI) model. The proposed adaptive controller is a combination of a parameter estimation algorithm to estimate the parameters of the process and an adaptation algorithm for the connection weights of the neural network. …”
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Improving INS/GPS Integration for Mobile Robotics Applications by AbuHashim, Tariq Salman

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Morphology for Planar Hexagonal Modular Self-Reconfigurable Robotic Systems by Sadjadi, Hossein

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A method for data path synthesis using neural networks by Harmanani, H.

“…A sequential simulator was implemented for the proposed algorithm on a Linux Pentium PC under X Windows. …”
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COMPUTER AIDED PROGRAMMING EDUCATION (CAPE) by Al-Sukairi, Abdallah

“…Much of the creativity in programming is concentrated in designing the solution rather than implementing it in a selected language. We have developed a model, called Computer Aided Programming Education (CAPE), that supports the program development process. …”
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Design and Optimization of a Planar Cable Robot by Kassem, Mohamad Hassan

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Oversampling techniques for imbalanced data in regression by Samir Brahim Belhaouari (9427347)

“…For image datasets, we employ Multi-Level Autoencoders, consisting of Convolutional and Fully Connected Autoencoders. …”