Descriptive statistics of algorithms. by Fizza Shafique (19996292)

“…BLDC motor is a complex system having nonlinearity in its dynamic responses which makes primary controllers in efficient. Therefore, this paper implements metaheuristic optimization techniques such as Whale Optimization Algorithm (WOA), Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), Accelerated Particle Swarm Optimization (APSO), Levy Flight Trajectory-Based Whale Optimization Algorithm (LFWOA); moreover, a chaotic map and weight factor are also being applied to modify LFWOA (i.e., CMLFWOA) for optimizing the PI controller to control the speed of BLDC motor. …”

Training error and accuracy for all HNN models. by Ghassan Ahmed Ali (17041488)

“…The primary objective is to investigate the effectiveness and robustness of the ADA algorithm in expediting the training phase of the HNN to attain an optimized EB<i>k</i>SAT logic representation. …”

MLP vs classification algorithms. by Mohd Mustaqeem (19106494)

“…The SPAM-XAI model reduces features, optimizes the model, and reduces time and space complexity, enhancing its robustness. …”

Schematic of the suggested ROSA network for 16-element linear array consisting of power division, phase control, amplitude control of primary and secondary array. by Maryam Shadi (14237349)

Q-value of comparison of algorithms with WOA. by Fizza Shafique (19996292)

“…BLDC motor is a complex system having nonlinearity in its dynamic responses which makes primary controllers in efficient. Therefore, this paper implements metaheuristic optimization techniques such as Whale Optimization Algorithm (WOA), Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), Accelerated Particle Swarm Optimization (APSO), Levy Flight Trajectory-Based Whale Optimization Algorithm (LFWOA); moreover, a chaotic map and weight factor are also being applied to modify LFWOA (i.e., CMLFWOA) for optimizing the PI controller to control the speed of BLDC motor. …”

p-values of comparison of algorithms with WOA. by Fizza Shafique (19996292)

“…BLDC motor is a complex system having nonlinearity in its dynamic responses which makes primary controllers in efficient. Therefore, this paper implements metaheuristic optimization techniques such as Whale Optimization Algorithm (WOA), Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), Accelerated Particle Swarm Optimization (APSO), Levy Flight Trajectory-Based Whale Optimization Algorithm (LFWOA); moreover, a chaotic map and weight factor are also being applied to modify LFWOA (i.e., CMLFWOA) for optimizing the PI controller to control the speed of BLDC motor. …”

Case 2: PADR with load scheduling. by Hisham Alghamdi (20114096)

“…<div><p>Demand response-based load scheduling in smart power grids is currently one of the most important topics in energy optimization. …”

SPVE hourly varying irradiance. by Hisham Alghamdi (20114096)

“…<div><p>Demand response-based load scheduling in smart power grids is currently one of the most important topics in energy optimization. …”

Hourly varying ambient temperature. by Hisham Alghamdi (20114096)

“…<div><p>Demand response-based load scheduling in smart power grids is currently one of the most important topics in energy optimization. …”

Estimated SPVE generation. by Hisham Alghamdi (20114096)

“…<div><p>Demand response-based load scheduling in smart power grids is currently one of the most important topics in energy optimization. …”

Case 2: Hourly scheduled load profile. by Hisham Alghamdi (20114096)

“…<div><p>Demand response-based load scheduling in smart power grids is currently one of the most important topics in energy optimization. …”

Storage batteries charging level. by Hisham Alghamdi (20114096)

“…<div><p>Demand response-based load scheduling in smart power grids is currently one of the most important topics in energy optimization. …”

Utility pricing scheme. by Hisham Alghamdi (20114096)

“…<div><p>Demand response-based load scheduling in smart power grids is currently one of the most important topics in energy optimization. …”

Performance of cryptic prompt injection for two LLMs, Llama 2 and Vicuna 1.5, and two datasets, Peer Review Congress (PRC) Abstracts and PeerRead Papers, at different iterations of... by Vishisht Srihari Rao (22291042)

Hybrid feature selection algorithm of CSCO-ROA. by Afnan M. Alhassan (18349378)

“…Next, we propose a hybrid chaotic sand cat optimization technique, together with the Remora Optimization Algorithm (ROA) for feature selection. …”

Proposed CVAE model. by Afnan M. Alhassan (18349378)

“…Next, we propose a hybrid chaotic sand cat optimization technique, together with the Remora Optimization Algorithm (ROA) for feature selection. …”

Image_1_The prognostic role of an optimal machine learning model based on clinical available indicators in HCC patients.TIF by Xiaoying Lou (9700261)

Segmentation results of the proposed model. by Afnan M. Alhassan (18349378)

“…Next, we propose a hybrid chaotic sand cat optimization technique, together with the Remora Optimization Algorithm (ROA) for feature selection. …”

Methodology for minimum nitrogen compounds removal efficiencies estimation and wastewater treatment systems pre-selection: a watershed approach by Glaucia de Laia Nascimento Sá (7528922)

Architecture of proposed system model. by Nanavath Kiran Singh Nayak (22184565)