Hourly varying ambient temperature. حسب Hisham Alghamdi (20114096)

"…Time-varying pricing, intermittent renewable energy, domestic appliance energy demand, storage battery, and grid constraints are all incorporated into the model. The optimal adaptive wind-driven optimization (OAWDO) method is a stochastic optimization technique designed to manage supply, demand, and power price uncertainties. …"

Estimated SPVE generation. حسب Hisham Alghamdi (20114096)

"…Time-varying pricing, intermittent renewable energy, domestic appliance energy demand, storage battery, and grid constraints are all incorporated into the model. The optimal adaptive wind-driven optimization (OAWDO) method is a stochastic optimization technique designed to manage supply, demand, and power price uncertainties. …"

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

"…Time-varying pricing, intermittent renewable energy, domestic appliance energy demand, storage battery, and grid constraints are all incorporated into the model. The optimal adaptive wind-driven optimization (OAWDO) method is a stochastic optimization technique designed to manage supply, demand, and power price uncertainties. …"

Storage batteries charging level. حسب Hisham Alghamdi (20114096)

"…Time-varying pricing, intermittent renewable energy, domestic appliance energy demand, storage battery, and grid constraints are all incorporated into the model. The optimal adaptive wind-driven optimization (OAWDO) method is a stochastic optimization technique designed to manage supply, demand, and power price uncertainties. …"

Utility pricing scheme. حسب Hisham Alghamdi (20114096)

"…Time-varying pricing, intermittent renewable energy, domestic appliance energy demand, storage battery, and grid constraints are all incorporated into the model. The optimal adaptive wind-driven optimization (OAWDO) method is a stochastic optimization technique designed to manage supply, demand, and power price uncertainties. …"

Flow diagram of Wan Abdullah method for HNN. حسب Ghassan Ahmed Ali (17041488)

"…<div><p>This study proposes a novel hybrid computational approach that integrates the artificial dragonfly algorithm (ADA) with the Hopfield neural network (HNN) to achieve an optimal representation of the Exact Boolean <i>k</i>Satisfiability (EB<i>k</i>SAT) logical rule. …"

RNN performance comparison with/out optimization. حسب Muhammad Usman Tariq (11022141)

"…To enhance the performance of these models, Bayesian optimization techniques were employed. …"

Reducing positional uncertainty حسب He Wu (22584128)

Algorithmic differentiation improves the computational efficiency of OpenSim-based trajectory optimization of human movement حسب Antoine Falisse (6061601)

"…The primary aim of this study was to demonstrate the computational benefits of using AD instead of FD in OpenSim-based trajectory optimization of human movement. …"

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

"…After the image has been pre-processed, it is segmented using the Thresholding Level set approach. Next, we propose a hybrid chaotic sand cat optimization technique, together with the Remora Optimization Algorithm (ROA) for feature selection. …"

Table_1_Development and Validation of a Machine-Learning Model for Prediction of Extubation Failure in Intensive Care Units.XLSX حسب Qin-Yu Zhao (10014626)

Table_2_Development and Validation of a Machine-Learning Model for Prediction of Extubation Failure in Intensive Care Units.DOCX حسب Qin-Yu Zhao (10014626)

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

"…After the image has been pre-processed, it is segmented using the Thresholding Level set approach. Next, we propose a hybrid chaotic sand cat optimization technique, together with the Remora Optimization Algorithm (ROA) for feature selection. …"

Flowchart of the proposed AT-AQ model. حسب Ayyappan Subramaniam (16679704)

"…Furthermore, the PHEV RES and charging station location problem is handled in this study by deploying a novel hybrid algorithm termed as Atom Search Woven Aquila Optimization Algorithm (AT-AQ) that includes the ideas of both Aquila Optimizer (AO) and Atom Search Optimization (ASO) Algorithms. …"

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

"…After the image has been pre-processed, it is segmented using the Thresholding Level set approach. Next, we propose a hybrid chaotic sand cat optimization technique, together with the Remora Optimization Algorithm (ROA) for feature selection. …"

Single diode PV model. حسب Maheshwari Adaikkappan (20485792)

Distributions of model parameters mirror differentially expressed ion channel genes. حسب Daniele Linaro (227790)

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

System model of the proposed method. حسب Nanavath Kiran Singh Nayak (22184565)

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