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Suggested Topics within your search.
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Innovative Approaches of Optimization Methods Used in Geothermal Power Plants: Artificial Neural Networks and Genetic Algorithms
Published 2025-01-01“…Recent studies highlight that the combined use of artificial neural networks and genetic algorithms can produce faster and more consistent results. This demonstrates the benefits of using advanced methods for geothermal resource utilization and power plant optimization. …”
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2683
Design of a meta-heuristic artificial intelligence (AI) model for an optimal photovoltaic module cooling system
Published 2025-03-01“…However, the payback time of the cooled PV module unit is less than 4 years and the sensitivity of the savings is more than $20 in only 5 years of life. The MOPSO method deduces that the PV/T systems with hybrid cooling PCM/Air are optimal compared to the hybrid systems TEG/NF (thermoelectric/Nanofluids) which are the least efficient. …”
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2684
Design and Implementation MPPT Improved Whale Optimization Algorithm to Overcome Partial Shading Condition on Solar Panel
Published 2025-04-01“…IWOA is a development of the Whale Optimization Algorithm (WOA) by applying the Sine-Tent-Cosine Map for the first time the algorithm works to be more effective in the initialization process of the algorithm population and can ensure a more uniform distribution of population distribution throughout the search space. …”
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2685
Optimization of the strabismological examination of patients when planning surgical treatment of primary inferior oblique muscle overaction
Published 2022-07-01“…A more prominent V-pattern was diagnosed in 117 patients (95.12%). …”
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2686
Optimization of a Hybrid Off-Grid Solar PV—Hydro Power Systems for Rural Electrification in Cameroon
Published 2024-01-01“…A comparative analysis of the two approaches showed that the optimization using GA was more cost-effective than HOMER Pro with the least LCOE of 0.0344 $/kWh and NPC of $86,990.94 as well as a loss of power supply probability (LPSP) of 0.99%. …”
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Optimization of Traffic Congestion Management in Smart Cities under Bidirectional Long and Short-Term Memory Model
Published 2022-01-01“…Firstly, a BiLSTM-based urban road short-term traffic state algorithm network is established based on the collected road traffic flow data, and then the internal memory unit structure of the network is optimized. After training and optimization, it becomes a high-quality prediction model. …”
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A Hybrid Artificial Neural Network and Particle Swarm Optimization algorithm for Detecting COVID-19 Patients
Published 2021-12-01“…Based on the comparison, this paper grouped the top seven ML models such as Neural Networks, Logistic Regression, Nave Bayes Classifier, Multilayer Perceptron, Support Vector Machine, BF Tree, Bayesian Networks algorithms and measured feature importance, and other, to justify the differences between classification models. Particle Swarm Optimization with Neural Network is being deployed to improve the efficiency of the detection method by more accurately predicting COVID-19 detection. …”
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Evaluating end-to-end autonomous driving architectures: a proximal policy optimization approach in simulated environments
Published 2025-07-01“…The study uses the Proximal Policy Optimization (PPO) algorithm within the CARLA simulation environment. …”
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Development and Optimization of Emergency Management Information Systems: A comparative analysis of China, United States and Japan
Published 2024-01-01“…In recent years, the government has been paying more and more attention to emergency management, how to build an efficient and reliable emergency management information system has become a key issue that emergency managers need to solve, especially in the period of the new crown epidemic, an efficient and reasonable emergency management information system is particularly important. …”
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Adam Algorithm with Step Adaptation
Published 2025-05-01“…As the computational experiment showed, in stochastic optimization problems, the proposed Adam modification with step adaptation turned out to be significantly more efficient than both the standard Adam algorithm and the other methods with step adaptation that are studied in the work.…”
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Determining Optimal Link Capacity Expansions in Road Networks Using Cuckoo Search Algorithm with Lévy Flights
Published 2013-01-01“…During the last two decades, Continuous Network Design Problem (CNDP) has received much more attention because of increasing trend of traffic congestion in road networks. …”
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Robust Optimization for Electric Vehicle Routing Problem Considering Time Windows Under Energy Consumption Uncertainty
Published 2025-01-01“…Compared to fossil fuel-based internal combustion vehicles, electric vehicles with lower local pollution and noise are becoming more and more popular in urban logistic distribution. …”
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A Simulation-Based Multiple-Objective Optimization for Designing K-Stacks Autonomous Valet Parking Lots
Published 2025-01-01“…K-stacks parking lots optimized by the SMOO can provide 36%–59% more parking spaces than a traditional parking lot while keeping other evaluations fine. …”
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Traffic Safety Optimization Strategy of Mountainous Highway Tunnel Based on GA-SVR Visual Load Model
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Trajectory Optimization for High-Speed and Long-Range Interceptor Based on Improved Adaptive hp Pseudospectral Method
Published 2022-01-01“…The trajectory optimization design of interceptor is very important in the defense combat against a class of high-speed and strong-maneuvering aircraft. …”
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Contrasting allocation patterns in wheat and weeds: allometric belowground and reproductive investment versus optimal partitioning adaptations
Published 2025-04-01“…In contrast, weeds distributed biomass similarly between shoots and roots at planting densities of 4 and 12 under fertilization or allocated more biomass to roots than to shoots at these densities. …”
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Pragmatic Implementation With Non-Gaussian Devices of Noise-Limited Weak Value Amplification
Published 2021-01-01“…This scheme can reduce the difficulty of preparing the measurement apparatus and correcting the systematic error caused by the imperfection of device's wave function, thus making the weak-value amplification scheme more convenient and robust for practical field applications. …”
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