Intelligent Price Optimization in Smart Distribution Networks: A Risk-Sensitive Cheetah Hunter Optimization Algorithm for Distribution Locational Marginal Price Assessment by Seyed Amir Mohammad Lahaghi, Ehsan Azad-Farsani

“…To further enhance the quality of outcomes, this paper combines IGDT scenarios with the cheetah hunter optimization (CHO) algorithm to ensure the obtained results are both optimal and accurate. …”
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Robust Tracking Control of Piezoelectric Actuators Using Super-Twisting Sliding Mode With Bouc-Wen Hysteresis Model-Based Enhanced Jaya Algorithm by Nguyen Thi Thu Hang, Nguyen Ngoc Son

“…The Bouc-Wen model, which captures the nonlinear hysteretic behavior of the PZT actuator, is estimated using a modified Jaya algorithm enhanced with Lévy flight distribution (called LeJaya). …”
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q-Rung orthopair fuzzy 2-tuple linguistic WASPAS algorithm for patients’ prioritization based on prioritized Maclaurin symmetric mean aggregation operators by Fatima Abbas, Jawad Ali, Wali Khan Mashwani, Necla Gündüz, Muhammad I. Syam

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Automating Colon Polyp Classification in Digital Pathology by Evaluation of a “Machine Learning as a Service” AI Model: Algorithm Development and Validation Study by David Beyer, Evan Delancey, Logan McLeod

“…Our aim was to explore if such AutoML algorithms could generate robust machine learning models that are directly applicable to the field of digital pathology. …”
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Ammonia and ethanol detection via an electronic nose utilizing a bionic chamber and a sparrow search algorithm-optimized backpropagation neural network. by Yeping Shi, Yunbo Shi, Haodong Niu, Jinzhou Liu, Pengjiao Sun

“…Response data are classified and regressed using a sparrow search algorithm (SSA)-optimized backpropagation neural network (BPNN). …”
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Improving Atmospheric Correction Algorithms for Sea Surface Skin Temperature Retrievals from Moderate-Resolution Imaging Spectroradiometer Using Machine Learning Methods by Bingkun Luo, Peter J. Minnett, Chong Jia

“…Notably, both XGBoost and RF stand out for their superior correlation and efficacy in the statistical results of validation. …”
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Measurement of intelligent computing via Levenberg Marquardt algorithm (LMA) for accurate prediction of fluid forces in a transient non-Newtonian thermal flow by Atif Asghar, Rashid Mahmood, Afraz Hussain Majeed, Ahmed S. Hendy, Mohamed R. Ali

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GA4RF: An Effective Fall Detection System Through Optimizing Random Forest Hyperparameters Using Genetic Algorithm With Mobile Sensor Data by Ha-Nam Nguyen, Hong-Lam Le, Ngo-Thi-Thu-Trang, Duc-Nhan Nguyen

“…This targeted optimization ensures that the algorithm prioritizes balanced accuracy across both fall and non-fall events, mitigating the bias inherent in imbalanced datasets. …”
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Automatic identification of unreported meals from continuous glucose monitoring data in individuals after bariatric surgery using a template matching algorithm by Elisa Pellizzari, Francesco Prendin, Giacomo Cappon, Elena Idi, Simone Del Favero, David Herzig, Lia Bally, Andrea Facchinetti

“…In response, we proposed a template match algorithm (TMA) for the retrospective identification of unreported meals using CGM data only. …”
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Multiobjective optimization of welding process variables in RMD and FCAW techniques using a heat transfer search algorithm for 316LN stainless steel by Ravi Dave, Indravadan B. Dave, Jay J. Vora, Rakesh Chaudhari, Subhash Das, Prashant Kumar Gangwar

“…The heat transfer search (HTS) algorithm was used for both single objective and multiobjective optimization. …”
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Enhancing Power Quality in Standalone Microgrids Powered by Wind and Battery Systems Using HO Algorithm Based Super Twisting Sliding Mode Controllers by Sana Sahbani, Oumnia Licer, Hassane Mahmoudi, Abdennebi Hasnaoui, Mustapha Kchikach

“…To mitigate these issues, a control strategy utilizing Super Twisting Sliding Mode (STSM) controllers tuned by the Hippopotamus Optimization Algorithm (HOA) is proposed. The HOA algorithm efficiently determines optimal STSM controller parameters, leading to improved system performance and stability. …”
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Adaptive hierarchical smoothing strategy and fuzzy logic-based torque vectoring algorithm for comfort and propulsion optimization in over-actuated hybrid electric vehicles by Adel Oubelaid, Nima Khosravi, Youcef Belkhier, Toufik Rekioua, Djamila Rekioua, Mohamed Benbouzid

“…This paper introduces a novel control strategy aimed at optimizing both driving comfort and propulsion power in Hybrid Electric Vehicles (HEVs). …”
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Adaptive Threshold Algorithm for Outlier Elimination in 3D Topography Data of Metal Additive Manufactured Surfaces Obtained from Focus Variation Microscopy by Xin Xu, Tobias Pahl, Sebastian Hagemeier, Peter Lehmann

“…Additionally, a simulation model of focus variation microscopy is introduced to validate both the measuring system and the proposed algorithm, thereby enhancing the overall performance of focus variation microscopy. …”
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An Optimized Method for Solving the Green Permutation Flow Shop Scheduling Problem Using a Combination of Deep Reinforcement Learning and Improved Genetic Algorithm by Yongxin Lu, Yiping Yuan, Jiarula Yasenjiang, Adilanmu Sitahong, Yongsheng Chao, Yunxuan Wang

“…This paper tackles the green permutation flow shop scheduling problem (GPFSP) with the goal of minimizing both the maximum completion time and energy consumption. …”
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Predicting Live Weight for Female Rabbits of Meat Crosses From Body Measurements Using LightGBM, XGBoost and Support Vector Machine Algorithms by Hasan Önder, Cem Tirink, Taras Yakubets, Andriy Getya, Mykhalio Matvieiev, Ruslan Kononenko, Uğur Şen, Çağri Özgür Özkan, Tolga Tolun, Fahrettin Kaya

“…The results showed that LightGBM, XGBoost and SVM algorithms were well fit for the BW using the biometric measures with over 95% accuracy for both train and test sets. …”
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A Novel Hybrid Deep Learning Model Based on Simulated Annealing and Cuckoo Search Algorithms for Automatic Radiomics-Based COVID-19 Diagnosis by Basma Jumaa Saleh, Zaid Omar, Muhammad Amir As’ari, Vikrant Bhateja, Lila Iznita Izhar

“…The SA-CS algorithm extends SA by preventing entrapment in local minimum and enhancing global exploration. …”
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Designing a new tomato leaf disease classification framework using ran-based adaptive fuzzy c-means with heuristic algorithm model by Kanti Rongali Divya, Rao Gottapu Sasibhushana, Aruna Singam

“…Plant leaf disease is the primary factor that influences both the quality and quantity of crop production. …”
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Application of Twisting Controller and Modified Pufferfish Optimization Algorithm for Power Management in a Solar PV System with Electric-Vehicle and Load-Demand Integration by Arunesh Kumar Singh, Rohit Kumar, D. K. Chaturvedi, Ibraheem, Gulshan Sharma, Pitshou N. Bokoro, Rajesh Kumar

“…Active and reactive powers are controlled by a proportional–integral controller, whereas energy storage batteries improve the quality of energy by storing both current and voltage, which have an impact on steady-state error. …”
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Effectiveness of switching from nalfurafine to difelikefalin in patients with hemodialysis-associated pruritus: a prospective interventional study within a new treatment algorithm by Naoko Takahashi, Taku Yoshizawa, Junko Kumagai, Hideki Kawanishi, Shinichiro Tsuchiya, Misaki Moriishi, Takao Masaki

“…Upon approval of intravenous difelikefalin, a new KOR agonist, in Japan in December 2023, we revised the treatment algorithm. Here, we evaluate the clinical outcomes of switching patients from nalfurafine to difelikefalin within the new treatment algorithm. …”
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Ecofriendly Extraction of Polyphenols from <i>Ampelopsis grossedentata</i> Leaves Coupled with Response Surface Methodology and Artificial Neural Network–Genetic Algorithm by Xubo Huang, Chen Li, Yanbin Wang, Jinrong Jiang, Weizhi Wu, Shifeng Wang, Ming Lin, Liang He

“…This study aimed to optimize a novel deep eutectic solvents (DESs)-assisted extraction process for polyphenols in the leaves of <i>Ampelopsis grossedentata</i> (AGPL) with response surface methodology (RSM) and a genetic algorithm–artificial neural network (GA-ANN). Under the influence of ultrasonic excitation, the L-carnitine-1,4-butanediol system was selected for the phenolics extraction process. …”
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