Search alternatives:
level optimization » global optimization (Expand Search), based optimization (Expand Search)
level optimization » global optimization (Expand Search), based optimization (Expand Search)
-
81
Communication-Based Adaptive Overcurrent Protection for Distribution Systems with DistributedGenerators
Published 2012Get full text
doctoralThesis -
82
Developing a Cooperative Behavior for Multi Agents System Application to Robot Soccer
Published 2007Get full text
doctoralThesis -
83
A novel approach for real time flows scheduling
Published 2006“…A plethora of packet-scheduling algorithms have been proposed in the literature in order to meet the stringent time constraints of real time flows at an IP router level. …”
Get full text
Get full text
Get full text
Get full text
conferenceObject -
84
Resource allocation scheme for eMBB and uRLLC coexistence in 6G networks
Published 2023“…The proposed solution was compared with three puncturing baseline reference algorithms and the performance was evaluated in terms of eMBB Sum throughput and Fairness level. …”
-
85
Improving the Resilience of Smart Distribution Networks against Cyber Attacks
Published 2022Get full text
doctoralThesis -
86
A GRASP Approach for Solving Large-Scale Electric Bus Scheduling Problems
Published 2021“…To be more precise, a greedy randomized adaptive search procedure (GRASP) algorithm is developed and its performance is evaluated against optimal solutions acquired using the MIP. …”
-
87
Student advising decision to predict student's future GPA based on Genetic Fuzzimetric Technique (GFT)
Published 2015“…Looking at the historical data of students, fuzzy logic can be used to develop rules based on these data. Genetic Algorithm would be used to optimize the performance of the system.…”
Get full text
Get full text
Get full text
Get full text
conferenceObject -
88
Multi-Modal Emotion Aware System Based on Fusion of Speech and Brain Information
Published 2019“…This basically follows either a feature-level or decision-level strategy. 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. …”
Get full text
Get full text
-
89
Improving passenger satisfaction at Kuwait International Airport by using multi-objective optimisation
Published 2024“…This paper presents a multi-dimensional approach towards finding an optimal and feasible solution to the resource allocation problem at check-in stages in airports. …”
Get full text
Get full text
-
90
State-of-Charge Estimation Using Triple Forgetting Factor Adaptive Extended Kalman Filter for Battery Energy Storage Systems in Electric Bus Applications
Published 2025“…Nevertheless, considering system complexity and computational efforts, the suggested SoC estimate techniques fall short of providing optimal filtering performance with high noise levels. …”
-
91
Reinforcement Learning-Based School Energy Management System
Published 2020“…In this work, a Deep Reinforcement Learning agent is proposed for controlling and optimizing a school building’s energy consumption. It is designed to search for optimal policies to minimize energy consumption, maintain thermal comfort, and reduce indoor contaminant levels in a challenging 21-zone environment. …”
-
92
C-3PA: Streaming Conformance, Confidence and Completeness in Prefix-Alignments
Published 2023“…Empirical tests on synthetic and real-life datasets demonstrate that the new method outputs prefix-alignments that have a cost that is highly correlated with the output from the state of-the-art optimal prefix-alignments. Furthermore, the method is able to handle warm-starting scenarios and indicate the confidence level of the prefix-alignment. …”
Get full text
Get full text
Get full text
-
93
A cluster-based model for QoS-OLSR protocol
Published 2017“…The QOLSR is a multimedia protocol that was designed on top of the Optimized Link State Routing (OLSR) protocol. It considers the Quality of Service (QoS) of the nodes during the selection of the Multi-Point Relay (MPRs) nodes. …”
Get full text
Get full text
Get full text
Get full text
conferenceObject -
94
Artificial Intelligence (AI) based machine learning models predict glucose variability and hypoglycaemia risk in patients with type 2 diabetes on a multiple drug regimen who fast d...
Published 2020“…The optimal XGBoost model prioritized age, gender, BMI and HbA1c followed by glucose levels and physical activity. …”
-
95
Enhanced Inverse Model Predictive Control for EV Chargers: Solution for Rectifier-Side
Published 2024“…Then, an adaptive estimation strategy employing a recursive least square algorithm is proposed for online dynamic model estimation, which is then used by the IMPC for optimal switching states prediction. …”
-
96
Predicting Compression Modes and Split Decisions for HEVC Video Coding Using Machine Learning Techniques
Published 2017Get full text
doctoralThesis -
97
-
98
The bus sightseeing problem
Published 2023“…A mixed-integer programming formulation for the BSP is provided and solved by a Benders decomposition algorithm. For large-scale instances, an iterated local search based metaheuristic algorithm is developed with some tailored neighborhood operators. …”
-
99
FPGA-Based Network Traffic Classification Using Machine Learning
Published 2020“…Moreover, the optimal percentage of packets considered within a flow while extracting flow-level features is determined. …”
Get full text
article -
100
Impact Of Inspection Errors On The Performance Measures Of A General: Repeat Inspection Plan
Published 2020“…The impact of the errors is studied by conducting sensitivity analysis on the errors utilizing computer software which implements an algorithm that determines the optimal parameters of the model of the plan. …”
Get full text
article