Explainable Model of Fusion Network With Enhanced Optimization Approach for Tuberculosis Diagnosis by C. R. Dhivyaa, K. Nithya, C. Sathiya Kumar, R. Sudhakar

“…The second approach utilizes the EAMSO (Ensemble of AMS Optimization model) for feature selection. It combines the results from AEO (Artificial Ecosystem-based Optimization), MBO (Monarch butterfly optimization), and Seagull-Algorithm to form three optimized feature subsets. …”
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A Talent Cultivation and Performance Evaluation Model Based on a Fuzzy Control Algorithm by Shanshan Jiang

“…The algorithm combines an adaptive neuro-Fuzzy Inference System with Adaptive Hybrid Particle Swarm Optimization. …”
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Meta-Features Extracted from Use of kNN Regressor to Improve Sugarcane Crop Yield Prediction by Luiz Antonio Falaguasta Barbosa, Ivan Rizzo Guilherme, Daniel Carlos Guimarães Pedronette, Bruno Tisseyre

“…However, enhancing prediction models by incorporating new features extracted through regressions executed on the original dataset features can potentially improve predictive outcomes. …”
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Optimizing the Scheduling of Teaching Activities in a Faculty by Francis Patrick Diallo, Cătălin Tudose

“…This study provides an optimized automated schedule creation technique. The system generates schedules that aim to be conflict-free and efficient, utilizing evolutionary algorithms along with multi-objective optimization. …”
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A New Non Quadratic Model For Unconstrained Non Linear Optimization by Basim Hassan, Nidhal Al-Assady

“…A new non-quadratic model is proposed for solving unconstrained optimization problems, which modifies and develops the classical conjugate gradient methods. …”
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DScanNet: Packaging Defect Detection Algorithm Based on Selective State Space Models by Yirong Luo, Yanping Du, Zhaohua Wang, Jingtian Mo, Wenxuan Yu, Shuihai Dou

“…For this reason, an improved target detection model, DScanNet, is proposed in this paper. …”
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Educational resources recommendation algorithm based on GMF-MLP-NeuMF prediction model by Rui Wang, Qiusheng Cui, Yezhi Xiao, Jinfeng Du, Ruicheng Yue

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UAV Path Optimization for WSN in Smart Agriculture by Katia Karam, Ali Mansour, Mohamad Khaldi, Benoit Clement, Mohammad Ammad-Uddin

“…The optimization problem is formulated as a Nonlinear Programming (NLP) model and solved using an appropriate solver. …”
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Research on the Intelligent Bus Scheduling System Based on Genetic Algorithm by LIU Jiguo

“…Aiming at the problem of bus scheduling optimization, it analyzed the bus line model and the hierarchical characteristics of different levels of bus lines, proposed a bus scheduling model based on genetic algorithm and established the objective function and constraints. …”
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Evaluating Task Optimization and Reinforcement Learning Models in Robotic Task Parameterization by Michele Delledonne, Enrico Villagrossi, Manuel Beschi, Alireza Rastegarpanah

“…The results demonstrate that although RL models improve task optimization efficiency by 95%, they still need more flexibility. …”
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Application of deep reinforcement learning in parameter optimization and refinement of turbulence models by Zhan Zhang

“…The DDPG algorithm was used for parameter optimization, and model parameters were gradually adjusted to minimize wind pressure simulation errors. …”
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Evolutionary Optimization for the Classification of Small Molecules Regulating the Circadian Rhythm Period: A Reliable Assessment by Antonio Arauzo-Azofra, Jose Molina-Baena, Maria Luque-Rodriguez

“…The findings demonstrate that the proposed genetic algorithm improves classification accuracy and reduces overfitting compared to baseline models. …”
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Simultaneous high hydrogen content-synthesis gas production and in-situ CO2 removal via sorption-enhanced reaction process: modeling, sensitivity analysis and multi-objective optim... by Malihe Heravi, Mahdi Bayat, Mohammad Reza Rahimpour

“…As the last part, non-dominated sorting genetic algorithm-II is applied to perform multi-objective optimization of the SE-SMR.…”
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Effects of off-design performances and multiple market carbon trading mechanism on integrated energy systems with waste incineration power units by Jing Liu, Tong Zhao, Haolin Sui

“…Therefore, an optimal dispatching model of electricity-gas-heating-cooling IES with renewable energy and waste incineration power units (WIP) based on a novel multiple market carbon trading mechanism (MMCTM) is proposed. …”
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Optimized DINO model for accurate object detection of sesame seedlings and weeds by Yong Wang, ShunFa Xu, ZhenYuan Ye, KongHao Cheng

“…On this model, the improved DINO model achieved a maximum AP of 81.8%, outperforming the YOLOv7 model by 5.6%, with an FPS of 24 frames per second. …”
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Advanced control scheme for harmonic mitigation and performance improvement in DC-AC microgrid with parallel voltage source inverter by Buddhadeva Sahoo, Subhransu Ranjan Samantaray, Mohammed M. Alhaider

“…The system integrates an incremental conductance-based maximum power algorithm (IC-MPA) to achieve efficient PV energy extraction and a bidirectional converter model to regulate battery charging/discharging operations, maintaining DC-link voltage stability. …”
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Assessment and optimization of power networks based on a dual-loop model by Junchi Cui, Zhaoyang Guo, Shuliang Wang, Bo Song

“…The framework combines network restoration strategies with reconfiguration to improve power network resilience. Initially, a network model and its corresponding resilience index are given, and the recovery capabilities of different repair strategies are analyzed to identify the optimal repair strategy. …”
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Reliability Optimization Model of Stop-Skipping Bus Operation with Capacity Constraints by Zhenhua Mou, Hu Zhang, Shidong Liang

“…The objective function is to minimize the total costs of bus operation system. Besides, a Genetic Algorithm combined with Monte Carlo Simulation method is defined and implemented to solve the reliability optimization model. …”
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Optimized Ensemble Model to Predict the Compatibility of Automobiles With Hybrid Electric Vehicles by Rohit Bajaj, Deepika Sharma, Ruchika Gupta, Shonak Bansal, Payal Patial, Krishna Prakash

“…Machine learning (ML) algorithms play a crucial role in optimizing and assessing the compatibility of typical automobiles with HEVs. …”
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A Multi-Strategy Optimized Framework for Health Status Assessment of Air Compressors by Dali Hou, Xiaoran Wang

“…The Ivy algorithm (IVYA) is introduced to optimize the BiLSTM’s hyperparameters to improve classification accuracy and avoid local optima. …”
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