Autonomous Robot Navigation Based On Recurrent Neural Networks حسب Al-Sagban, Mariam Qusai

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Fragment based protein structure prediction. (c2013) حسب Terzian, Meghrig Ohanes

"…The method is based on a two-phase Scatter Search metaheuristic that minimizes the energy function. Backbone fragments selections extracted from the Robetta server are followed by side chain selections, extracted from the Dunbrack Library. …"
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Multi Agent Reinforcement Learning Approach for Autonomous Fleet Management حسب Alhusin, Mohammed Omer Alamin

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Weak-coupling, strong-coupling and large-order parametrization of the hypergeometric-Meijer approximants حسب Abouzeid M. Shalaby (16810695)

"…To test the validity of that constraint, we employed it to obtain the exact partition function of the zero-dimensional Ø⁴ scalar field theory. …"

Simulations of the penetration of 6061-T6511 aluminum targets by spherical-nosed VAR 4340 steel projectiles حسب Warren, Thomas

"…In this paper a forcing function which is derived from a spherical-cavity expansion (SCE) analysis has been implemented in a transient dynamic finite element code. …"
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The Use of Enumerative Techniques in Topological Optimization of Computer Networks Subject to Fault Tolerance and Reliability حسب Abd-El-barr, Mostafa

"…Experimental results obtained from a set of randomly generated networks using the proposed algorithms are presented and compared to those obtained using the existing techniques [1], [2]. …"
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Optimizing Aircraft Pitch Control Systems: A Novel Approach Integrating Artificial Rabbits Optimizer with PID-F Controller حسب Abualigah, Laith

"…Comparative analysis with various optimization algorithm-based controllers from the literature demonstrates the effectiveness of the proposed technique. …"
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Multi-Modal Emotion Aware System Based on Fusion of Speech and Brain Information حسب M. Ghoniem, Rania

"…In all likelihood, while features from several modalities may enhance the classification performance, they might exhibit high dimensionality and make the learning process complex for the most used machine learning algorithms. …"
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Reinforcement Learning-Based School Energy Management System حسب Yassine Chemingui (18891757)

"…In recent years, the Deep Reinforcement Learning algorithm, applying neural networks for function approximation, shows promising results in handling such complex problems. …"

Online Control and Optimization of Directional Drilling حسب unknown

"…The objective function considered is to minimize the tracking error and drilling efforts. …"
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Vibration suppression in a cantilever beam using a string-type vibration absorber حسب Issa, Jimmy S.

"…In the first, the spring stiffness, the position of the second attachment point of the string and a preliminary damping constant are calculated using a genetic algorithm approach where the objective function is the maximum displacement on the beam. …"
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On-demand deployment of multiple aerial base stations for traffic offloading and network recovery حسب Sharafeddine, Sanaa

"…We present performance results for the proposed algorithm as a function of various system parameters and demonstrate its effectiveness compared to the close-to-optimal greedy approach and its superiority compared to recent related work from the literature.…"
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Blood Glucose Regulation Modelling and Intelligent Control حسب Nasar, Nabeel

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Design and performance analysis of hybrid MPPT controllers for fuel cell fed DC-DC converter systems حسب Shaik Rafikiran (15838929)

"…The studied MPPT controllers are Adaptive Adjustable Step-based Perturb and Observe (AASP&O) controllers, Variable Step Value-Radial Basis Function Controller (VSV-RBFC), Adaptive Step Hill Climb (ASHC) based fuzzy technique, Variable P&O with Particle Swarm Optimization (VP&O-PSO), and Variable Step Grey Wolf Algorithm (VSGWA) based fuzzy logic controller. …"

Design and performance analysis of hybrid MPPT controllers for fuel cell fed DC-DC converter systems حسب Shaik, Rafikiran

"…The studied MPPT controllers are Adaptive Adjustable Step-based Perturb and Observe (AAS-P&O) controllers, Variable Step Value-Radial Basis Function Controller (VSV-RBFC), Adaptive Step Hill Climb (ASHC) based fuzzy technique, Variable P&O with Particle Swarm Optimization (VP&O-PSO), and Variable Step Grey Wolf Algorithm (VSGWA) based fuzzy logic controller. …"
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Label dependency modeling in Multi-Label Naïve Bayes through input space expansion حسب PKA Chitra (21749216)

"…<p dir="ltr">In the realm of multi-label learning, instances are often characterized by a plurality of labels, diverging from the single-label paradigm prevalent in conventional datasets. …"

Digital-Twin-Based Diagnosis and Tolerant Control of T-Type Three-Level Rectifiers حسب Ali Sharida (17947847)

"…The OSF detection and localization algorithm is implemented based on the dynamic response difference between the physical system and its DT. …"

A novel method for the detection and classification of multiple diseases using transfer learning-based deep learning techniques with improved performance حسب Krishnamoorthy Natarajan (22047464)

"…<p dir="ltr">A disease is a distinct abnormal state that significantly affects the functioning of all or part of an individual and is not caused by external harm. …"

Scatter search for homology modeling حسب Mansour, Nashat

"…However this technique suffers from poor initial target-template alignments. To improve homology based PSP, we propose a scatter search (SS) metaheuristic algorithm. …"
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FoGMatch حسب Arisdakessian, Sarhad

"…Our solution consists of (1) two optimization problems, one for the IoT devices and one for the fog nodes, (2) preference functions for both the IoT and fog layers to help them rank each other on the basis of several criteria such latency and resource utilization, and (3) centralized and distributed intelligent scheduling algorithms that consider the preferences of both the fog and IoT layers to improve the performance of the overall IoT ecosystem. …"
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