A study on an efficient citrus Huanglong disease detection algorithm based on three-channel aggregated attention by Yizong Wang, Zhengrong Xiao, Hong Wang, Fei Li, Jiya Tian

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Flood risk mapping and performance efficiency evaluation of machine learning algorithms: Best practice in northern Iran by M. Shirmohammadi, M. Shirmohammadi, S. Pirasteh, W. Li, D. Mafi-Gholami

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Enhanced vehicle routing for medical waste management via hybrid deep reinforcement learning and optimization algorithms by Norhan Khallaf, Osama Abd-El Rouf, Abeer D. Algarni, Mohy Hadhoud, Ahmed Kafafy

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Automatic Extraction and Counting of Fish from Underwater Videos Using YOLO-Based Deep Learning Algorithms by F. Gallitto, A. M. Lingua, F. Matrone, F. Chiabrando, X. Li, S. Secco, S. Secco, A. Acierno, M. Scalici

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Retrieval of cloud fraction using machine learning algorithms based on FY-4A AGRI observations by J. Xia, L. Guan

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Evaluating the impact of industrial wastes on the compressive strength of concrete using closed-form machine learning algorithms by Carlos Roberto López Paredes, Cesar García, Kennedy C. Onyelowe, Kennedy C. Onyelowe, Maria Gabriela Zuniga Rodriguez, Tammineni Gnananandarao, Alexis Ivan Andrade Valle, Nancy Velasco, Greys Carolina Herrera Morales

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GraphFlood 1.0: an efficient algorithm to approximate 2D hydrodynamics for landscape evolution models by B. Gailleton, P. Steer, P. Davy, W. Schwanghart, T. Bernard

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Development of machine learning algorithms to predict viral load suppression among HIV patients in Conakry (Guinea) by Degninou Yehadji, Degninou Yehadji, Geraldine Gray, Carlos Arias Vicente, Petros Isaakidis, Petros Isaakidis, Abdourahimi Diallo, Saa Andre Kamano, Thierno Saidou Diallo

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Development and validation of a deep learning algorithm for discriminating glioma recurrence from radiation necrosis on MRI by Yu-Zhe Ying, Xiao-Hong Cai, Xiao-Hong Cai, Han Yang, Han Yang, Hua-Wei Huang, Dao Zheng, Hao-Yi Li, Ge-Hong Dong, Yong-Gang Wang, Zhong-Li Jiang, Zhu-Lin An, Zhu-Lin An, Guo-Bin Zhang

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Governance for anti-racist AI in healthcare: integrating racism-related stress in psychiatric algorithms for Black Americans by Christopher T. Fields, Christopher T. Fields, Carmen Black, Carmen Black, Jannat K. Thind, Oluwole Jegede, Oluwole Jegede, Damla Aksen, Matthew Rosenblatt, Shervin Assari, Chyrell Bellamy, Elijah Anderson, Avram Holmes, Dustin Scheinost

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Research on the combination of algorithms and mixed reality for the localization of perforator vessels in anterolateral thigh and free fibula flaps by Yixiu Liu, Yixiu Liu, Jian Wu, Lian Zhou, Xi Tang, Shuangjiang Wu, Shuangjiang Wu, Ping Ji

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Bayesian Neural Networks With Robust Feature Interpretation for Enhanced Compressive Strength Prediction of Ultra‐High‐Performance Concrete by Tao Zhang, Ji Hao, Jie Zhang, Lina Du, Yunhao Zhang, Wenbin Jiao

“…Feature importance and partial dependence analyses were further utilized to elucidate the influence of key mix parameters on compressive strength. …”
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Surgical treatment of patient with secondary partly absence of the teeth on the background of disturbances of bone mineral metabolism with dental implants by E. Yu. Diachkova, S. V. Tarasenko, Do Phan Ngoc Minh, M. R. Fomin, A. Y. Shepetina, V. A. Grachev, M. M. Ternov

“…Purpose was to develop an integrated treatment algorithm to increase the effectiveness of surgical treatment with dental implants in patients with partial secondary absence of teeth and associated diseases.Materials and methods. …”
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Artificial neural network-enhanced unconditionally stable finite-difference time-domain technique for multiscale problems by Oluwole John Famoriji, Thokozani Shongwe

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Endoscopic dissection of the infraorbital canal in patients with sinonasal inverted papilloma by G. B. Bebchuk, A. M. Mudunov, M. Z. Dzhafarova, A. A. Bakhtin, O. A. Sapegina

“…For removal of the lesion and pathologically changed walls of the infraorbital canal, transnasal endoscopic partial maxillectomies (type 3 or 4) were performed. …”
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Modified invasive weed optimization MPPT approach for PV system interfaced with BLDC motor for water pumping system by S. Nagaraja Rao, B. M. Kiran Kumar, B. M. Manjunatha, A. Suresh Kumar

“…With partial shading conditions (PSC), the perturbed and observe (P&O) method might not be enough to produce a voltage signal that corresponds to the maximum power point (MPP). …”
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An improved sunflower optimization algorithm for cluster selection with secured data transmission using cryptographic techniques in WSNS-IoT by Yuvaraja M., Sureshkumar S., Joseph James S., Ishwarya Niranjana M.

“…Our results show that the proposed algorithm hugely outperforms the best solution approaches.…”
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An improved meta-heuristic algorithm to optimize the fractional-order controller for an industrial manipulator with a parallelogram structure by Nazila Nikdel

“…Criteria such as operation time and response speed, control cost, and system error need to be controlled by providing appropriate methods to ensure the successful performance of industrial operations. Therefore, this article pursues two main objectives: 1) controlling the robotic system by presenting a method based on fractional-order calculus so that it can control the system despite its complexity and non-linearity, 2) presenting the meta-heuristic algorithm "Improved Grey Wolf" to optimize the system response.Methodology: First, the mathematical model of the robot is presented based on Lagrange rules, and then the fractional-order calculus is used to design the controller. …”
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A Maximum Power Point Tracking (MPPT) Strategy Based on Harris Hawk Optimization (HHO) Algorithm by Dabin Jia, Dazhi Wang

“…To address the multi-peak characteristics of the P-U output characteristic curve when the photovoltaic array is partially shaded, a Maximum Power Point Tracking (MPPT) method combining Harris Hawk optimization, and a variable step conductance increment method is proposed in this article. …”
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Influence of a Given Field of Temperature on the Blood Pressure Variation: Variational Analysis, Numerical Algorithms and Simulations by Ruxandra Stavre, Alexandra Ciorogar

“…Our study continues with approximation schemes: in order to improve the unknowns regularity, we introduce the pressure approximation by a sequence of viscoelastic pressure functions and we prove the weak convergence of this sequence to the pressure; then, we present a numerical approximation scheme with stability and convergence results and Uzawa’s algorithm. The last part of the article is devoted to numerical simulations that rely on the numerical schemes introduced and studied before and highlight some physical phenomena related to the considered problem.…”
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