A data-driven, cloud-based approach for forest aboveground biomass mapping using GEDI and other earth observation data: an ecoregion-specific Investigation across the state of Alab... by Janaki Sandamali, Lana L. Narine

“…GEDI data preparation was performed locally, while the analysis was conducted within GEE using the Random Forest algorithm. …”
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Trajectory Planning for Point-to-Point Motion Using High-order Polynomials by Hossein Barghi Jond, Vasif V. Nabiyev, TuÄrul Ãavdar

“…Additionally, comparing outputs of Genetic Algorithm with the closed-form solutions for the problem show that closed-form expressions generate coefficients that are near optimal.…”
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Constructing Fair Destination-Oriented Directed Acyclic Graphs for Multipath Routing by Katarzyna Kalinowska-Górska, Fernando Solano Donado

“…In this paper, a few requirements for constructing a “fair” DODAG are identified in the context of multipath routing. An optimization algorithm that tries to find an equitable solution according to these requirements is also presented. …”
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Fluid Dynamics of Biomimetic Pectoral Fin Propulsion Using Immersed Boundary Method by Ningyu Li, Yumin Su

“…The results show that there is an optimal phase angle and Strouhal number for this complicated fin. …”
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Contribution of Daylighting to Saving Electrical Energy in Cameroon: Case Study of a Classroom in a Public School by Merimé Souffo Tagueu, Lionelle Adelaїde Madjou Tanekou, Benoît Ndzana

“…In our case study, by dividing the classroom into 99 measurement points, we collect data on illuminance levels by simulation using DIALux software and by direct measurement using a luxmeter. Applying the optimization algorithm designed for this purpose brings the average illuminance level down to 300lx following the EN12464 standard. …”
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Improved Hadamard Decomposition and Its Application in Data Compression in New-Type Power Systems by Zhi Ding, Tianyao Ji, Mengshi Li

“…Second, we develop an enhanced gradient descent algorithm incorporating adaptive regularization and early stopping mechanisms, achieving superior convergence performance in optimizing the Hadamard approximation. …”
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A Scalable and Coordinated Energy Management for Electric Vehicles Based on Multiagent Reinforcement Learning Method by Ruien Bian, Xiuchen Jiang, Guoying Zhao, Yadong Liu, Zhou Dai

“…The proposed method can achieve close results to the traditional optimization methods, while it takes less than one second to take control actions, making it is more suitable for real-time online energy management. …”
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Research and application of flexible starting method for metro trains with permanent magnet motors based on PI control by LIU Zhicheng, CHEN Xijun, HE Ye, HU Hui

“…This solution focuses on optimizing cooperation among various subsystems during the starting process. …”
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Design and Performance Analysis of Fuzzy Logic Controller for Solar Photovoltaic System by Kumuthawathe Ananda-Rao, Steven Taniselass, Afifah Shuhada Rosmi, Aimi Salihah Abdul Nasir, Nor Hanisah Baharudin, Indra Nisja

“…The system is modeled and simulated using MATLAB/Simulink, incorporating the PV system, MPPT algorithm, and models for the PV module and boost converter. …”
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An Explainable Fuzzy Framework for Assessing Preeclampsia Classification by Matías Salinas, Daira Velandia, Leondry Mayeta-Revilla, Ayleen Bertini, Marvin Querales, Fabian Pardo, Rodrigo Salas

“…<b>Methods:</b> The model integrates fuzzy decision trees with a genetic algorithm to identify a compact and relevant set of rules, optimized for both accuracy and interpretability. …”
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Prediction of Biogas Yield from Codigestion of Lignocellulosic Biomass Using Adaptive Neuro-Fuzzy Inference System (ANFIS) Model by Moses Oluwatobi Fajobi, Olumuyiwa Ajani Lasode, Adekunle Akanni Adeleke, Peter Pelumi Ikubanni, Ayokunle Olubusayo Balogun, Prabhu Paramasivam

“…The Gaussian membership function (Gauss-mf) was implemented for the fuzzification of input variables, while the hybrid algorithm was selected for the learning and mapping of the input-output dataset. …”
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Automatic Calculation of Average Power in Electroencephalography Signals for Enhanced Detection of Brain Activity and Behavioral Patterns by Nuphar Avital, Nataniel Shulkin, Dror Malka

“…Results indicate that the IIR Chebyshev filter, configured with a 0.5% passband ripple and a fourth-order design, outperformed the alternatives by effectively reducing average power while preserving signal fidelity. This optimized filtering approach significantly improves the accuracy of neural signal visualizations, thereby facilitating the creation of detailed brain activity maps. …”
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Video Temporal Grounding with Multi-Model Collaborative Learning by Yun Tian, Xiaobo Guo, Jinsong Wang, Bin Li, Shoujun Zhou

“…Concurrently, the mechanism for generating pseudo-labels is optimized using the CLIP model’s prior knowledge, bolstering both the accuracy and coherence of these labels while efficiently discarding extraneous temporal fragments. …”
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Research on Mine-Personnel Helmet Detection Based on Multi-Strategy-Improved YOLOv11 by Lei Zhang, Zhipeng Sun, Hongjing Tao, Meng Wang, Weixun Yi

“…In the complex environment of fully mechanized mining faces, the current object detection algorithms face significant challenges in achieving optimal accuracy and real-time detection of mine personnel and safety helmets. …”
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A novel adversarial deep TSK fuzzy classifier with its inverse-free fast training by Limin Mao, Hangming Shi, Yongxin Chou, Jinliang Cong, Mingli Lu, Zekang Bian, Suhang Gu

“…This can facilitate the inverse-free fast deep learning algorithm of AD-TSK while maintaining interpretability. …”
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Intelligent Office Lighting Control Using Natural Light and a GA-BP Neural Network-Based System by Rongmeng Zhang, Ruiqi Li, Junbai Lu, Haiqian E, Haotian Wang, Xinyu Zhao, Yingming Gao, Zhisheng Wang

“…This study addresses the issue of natural glare by proposing a method that uses a genetic algorithm (GA) to optimize a backpropagation (BP) neural network model. …”
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Integrating Learning-Driven Model Behavior and Data Representation for Enhanced Remaining Useful Life Prediction in Rotating Machinery by Tarek Berghout, Eric Bechhoefer, Faycal Djeffal, Wei Hong Lim

“…The first part focuses on comprehensive data preprocessing using only feature scaling and selection via random forest (RF) algorithm, streamlining the process by minimizing human intervention while managing data complexity. …”
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PID Control and Input Shaping for Quadrotor UAV Stabilization and Payload Swing Reduction by Liyana Ramli, Izzuddin M. Lazim, Amalin Aisya Awi, Aina Syazwin Shukor

“…To enhance swing suppression, the input shaper parameters are optimized using the Particle Swarm Optimization (PSO) algorithm. …”
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Rolling Bearing Fault Diagnosis Based on VMD-DWT and HADS-CNN-BiLSTM Hybrid Model by Luchuan Shao, Bing Zhao, Xutao Kang

“…The vibration signals are first reconstructed using a genetic algorithm (GA)-optimized VMD and particle swarm optimization (PSO)-optimized DWT for noise suppression. …”
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A Robust Hybrid MRAPID Controller Design for an Underactuated Nonlinear System With Parametric Uncertainty by Ahmed Abduljabbar Mahmood, Mohamed Abderrahim

“…The hybrid controller design is developed by combining the MRAPIDC design with controller gains applied to each output and incorporating the system adaptation error in a specific configuration. Optimal performance is achieved through parameter tuning via the social spider optimization (SSO) algorithm, and MIT (Massachusetts Institute of Technology) rule criteria are employed to ensure system stability. …”
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