Optimizing overheating, lighting, and heating energy performances in Canadian school for climate change adaptation: Sensitivity analysis and multi-objective optimization methodolog... حسب Mutasim Baba, Fuad

"…This paper aims to develop long-term adaptation strategies for the existing Canadian school buildings under extreme current and future climates using a developed methodology based on global and local sensitivity analysis and Multi-Objective Optimization Genetic Algorithm. …"
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Experimental Investigation and Comparative Evaluation of Standard Level Shifted Multi-Carrier Modulation Schemes With a Constraint GA Based SHE Techniques for a Seven-Level PUC Inv... حسب Atif Iqbal (5504636)

"…Different standard multicarrier sinusoidal pulse-width modulation techniques (SPWMs) are adapted for the generation of switching gate signals for the PUC power switches, and these SPWMs are compared with novel optimization-based selective harmonic elimination (SHE) that employs genetic algorithm (GA) for solving nonlinear SHE equation with a constraint that eliminated all third-order harmonics efficiently. …"

An Optimization Approach For The Computation Of The Minimum Destabilizing Uncertainty Volume حسب AL-Sunni, Fouad

"…In this paper we propose an non-linear optimization based algorithm for the computation of the stability region for uncertain polynomials. …"
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Particle swarm optimization for multimachine power systemstabilizer design حسب Abido, A.A.

"…In this paper, a novel evolutionary algorithm based approach to optimal design of multimachine power system stabilizers (PSSs) is proposed. …"
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Optimal Routing Protocol in Multimedia Wireless Sensor Networks حسب Al-Zurba, Hiba

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A Comprehensive Review on Conventional and Machine Learning-Assisted Design of 5G Microstrip Patch Antenna حسب Nupur Chhaule (21224987)

NOVEL STACKING CLASSIFICATION AND PREDICTION ALGORITHM BASED AMBIENT ASSISTED LIVING FOR ELDERLY حسب JINESH, PADIKKAPPARAMBIL

"…This study's dataset was sourced from the Kaggle machine learning repository, and it refers to data gathering from wearable IoT devices. The experimental outcomes demonstrate the proposed MCFS, NCA, and NSCP algorithms work more effectively than previous feature selection, clustering and classification algorithms, respectively, in terms of accuracy, sensitivity, specificity, precision, recall, f-measure and execution time. …"
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A new tabu search algorithm for the long-term hydro scheduling problem حسب Mantawy, A.H.

"…The algorithm is based on using the short-term memory of the tabu search (TS) approach to solve the nonlinear optimization problem in continuous variables of the LTHSP. …"
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Secrecy Performance of Decode-and-Forward Based Hybrid RF/VLC Relaying Systems حسب Jaber Al-Khori (16855470)

Efficient Algorithms for Constructing Preset Distinguishing Sequences for Nondeterministic Finite State Machines حسب Haddad, Abdul Rahim

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Comparative Analysis of Supervised Machine and Deep Learning Algorithms for Kyphosis Disease Detection حسب Alok Singh Chauhan (8264985)

Genetic Algorithm Control Strategy for Heat Pump System in Battery Electric Buses حسب Al Haddad, Rabih

"…This study proposes a genetic algorithm-based control strategy that optimizes the coefficient of performance of the HP system to decrease its energy consumption and maximize the driving range. …"
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Heuristic Algorithm for Obtaining Approximate Optimum Stratification With Mixture of Ratio and Product Estimators حسب S. E. H. Rizvi (22052105)

On Indefinite Quadratic Optimization over the Intersection of Balls and Linear Constraints حسب Temadher A. Almaadeed (14151288)

"…To solve e-TRS, we use the alternating direction method of multipliers approach and a branch and bound algorithm. Numerical experiments show the efficiency of the proposed approach compared to the CVX and the extended adaptive ellipsoid-based algorithm.…"

Enhancing Breast Cancer Diagnosis With Bidirectional Recurrent Neural Networks: A Novel Approach for Histopathological Image Multi-Classification حسب Rajendra Babu Chikkala (22330876)

"…The BRNN model, refined using the Adagrad optimization algorithm, efficiently integrates the learned features from both branches. …"

Deep Learning-Based Short-Term Load Forecasting Approach in Smart Grid With Clustering and Consumption Pattern Recognition حسب Dabeeruddin Syed (16864260)

"…A k-Medoid based algorithm is employed for clustering whereas the forecasting models are generated for different clusters of load profiles. …"

Environmental/economic power dispatch using multiobjective evolutionary algorithms: a comparative study حسب Abido, M.A.

"…A comparative study of newly developed Pareto-based multiobjective evolutionary algorithms (MOEA) applied to a nonlinear power system multiobjective optimization problem is presented in this paper. …"
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Topology design of switched enterprise networks using a fuzzy simulated evolution algorithm حسب Youssef, H.

"…In this paper, we present an approach based on Simulated Evolution algorithm for the design of SEN topology. …"
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Topology design of switched enterprise networks using a fuzzy simulated evolution algorithm حسب Youssef, H.

"…In this paper, we present an approach based on Simulated Evolution algorithm for the design of SEN topology. …"
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Genetic Algorithm Analysis using the Graph Coloring Method for Solving the University Timetable Problem حسب Haraty, Ramzi A.

"…Genetic algorithms were successfully useful to solve many optimization problems including the university Timetable Problem. …"
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