An ideally designed deep trust network model for heart disease prediction based on seagull optimization and Ruzzo Tompa algorithm by Yuan Jin, Yunliang Lai, Azadeh Noori Hoshyar, Nisreen Innab, Meshal Shutaywi, Wejdan Deebani, A. Swathi

“…The Seagull Optimization Algorithm (SOA) is introduced to optimize the trust depth network to achieve optimal network design. …”
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The application of artificial intelligence algorithms for testing the correlation between the state of oral health and adolescent behavior concerning oral health by Gajić Milica, Lalić Maja, Kalevski Katarina, Lazić Emira, Pavlović Maja, Ivanović Mirjana, Milić Jasmina, Matijević Dušanka, Vojinović Jovan

“…Therefore, the main aim of this study was to determine the behavior of adolescents concerning oral health, using a new statistical method – artificial intelligence algorithms. …”
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Composite Noise Reduction Method for Internal Leakage Acoustic Emission Signal of Safety Valve Based on IWTD-IVMD Algorithm by Shuxun Li, Xiaoqi Meng, Jianjun Hou, Kang Yuan, Xiaoya Wen

“…In view of the problem that the key parameters <i>K</i> and <i>α</i> in VMD decomposition are difficult to determine manually, the maximum Pearson coefficient is taken as the optimization target, and the improved dung beetle algorithm is used to optimize within the value range of <i>K</i> and <i>α</i>, so as to obtain the IVMD algorithm. …”
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Forecasting the daily evaporation by coupling the ensemble deep learning models with meta-heuristic algorithms and data pre-processing in dryland by Tonglin Fu, Dong Wang, Jing Jin

“…To achieve this purpose, the Convolutional neural network (CNN) was integrated with Bidirectional long short-term memory network (BiLSTM) as main estimating module, and the Sparrow search algorithm (SSA) was employed to search the optimal hyperparameters of CNN-BiLSTM. …”
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Airway management algorithm during circular tracheal resection in adult patients with cicatricial stenosis (a single-center study) by A. V. Kozhanova, Т. N. Khlan, О. V. Strunin, А. А. Pechetov, К. V. Lukich, A. S. Ibragimov, Yu. G. Starkov

“…The objective was to present the experience of airway management algorithm in patients with different localization of stenosis during circular tracheal resection.Materials and methods. …”
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Multi objective optimization of FDM 3D printing parameters set via design of experiments and machine learning algorithms by Antonio Panico, Alberto Corvi, Luca Collini, Corrado Sciancalepore

“…Eventually, a Genetic Algorithm (NSGA-II) is integrated to estimate the optimal parameter set for multiple responses. …”
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Vortex-Induced Vibration Performance Prediction of Double-Deck Steel Truss Bridge Based on Improved Machine Learning Algorithm by Yang Yang, Huiwen Hou, Gang Yao, Bo Wu

“…The most improved algorithm yields an RMSE of 0.150 and an R² of 0.9898. …”
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POSOP Routing Algorithm: A DTN Routing Scheme for Information Connectivity of Health Centres in Hilly State of North India by Rahul Johari, Neelima Gupta, Sandhya Aneja

“…We present a scenario from Uttarakhand (a state in hilly region of North India), where POSOP routing algorithm may be used to provide improved health services. …”
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Regulating addictive algorithms and designs: protecting older adults from digital exploitation beyond a youth-centric approach by Yu Yao

“…As digital technologies evolve, addictive algorithms and designs (aADs) have become a significant public health concern, particularly for older adults, a demographic often overlooked in digital addiction (DA) discourse. …”
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Multi-response optimization of CuZn39Pb3 brass alloy turning by implementing Grey Wolf algorithm by Nikolaos Fountas, Angelos Koutsomichalis, John D. Kechagias, Nikolaos M. Vaxevanidis

“…This work investigates the influence of cutting conditions on machinability indicators such as the main cutting force Fc and surface roughness parameters Ra and Rt when longitudinally turning CuZn39Pb3 brass alloy. …”
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Predictors of Length-of-Stay Among Transcatheter Aortic Valve Replacement Patients Using a Supervised Machine Learning Algorithm by Gregory L. Judson, MD, Jeff Luck, PhD, Skye Lawrence, BA, Rakan Khaki, MPH, Harsh Agrawal, MD, Krishan Soni, MD, Kirsten Tolstrup, MD, Vijayadithyan Jaganathan, MD, Vaikom S. Mahadevan, MD

“…Our study uncovered several previously unreported predictors for length of stay following TAVR, such as procedural duration, postprocedure physical therapy, and procedure day of the week. Conclusions: ML algorithms may have an important role in identifying novel predictors of short and prolonged length of stay following TAVR. …”
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Cognitive FDA-MIMO Radar Network’s Transmit Element Selection Algorithm for Target Tracking in a Complex Interference Scenario by Yingfei Yan, Haihong Tao, Jingjing Guo, Biao Yang

“…Therefore, a cognitive FDA-MIMO radar network (CFDA-MIMORN) transmit element selection algorithm is introduced. At first, the target is discriminated from the false targets. …”
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PREDICTION OF THE POOR RATE K-MEANS AND GENERALIZED REGRESSION NEURAL NETWORK ALGORITHMS (CASE STUDY: NORTH SUMATRA PROVINCE) by Nita Suryani, Arnita Arnita, Rinjani Cyra Nabila, Amanda Fitria

“…Poverty reduction is a crucial issue and the primary The North Sumatra Provincial government's main concern is lowering the poverty rate, which is a crucial issue. …”
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Missing value interpolation algorithm for long-term temperature observation data based on data augmentation multiple interpolation method by Xiaolin Liu, Bo Wang, Shuanglong Jin, Zongpeng Song

“…For this purpose, an algorithm for interpolating missing values in long-term temperature observation data was designed. …”
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Assessing carbon–neutral supercapacitors in renewable energy systems with self-improving agent-based molecular fuzzy intelligent algorithms by Oscar Castillo, Hasan Dinçer, Serkan Yüksel, Serkan Eti

“…The proposed model includes the integrated use of Entropy-game-based expert weighting method, Q-learning algorithm, molecular fuzzy intelligence algorithms, Bayesian network-based weighting (BANEW) and ant colony optimization (ACO) techniques. …”
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Applying blood-derived epigenetic algorithms to saliva: cross-tissue similarity of DNA-methylation indices of aging, physiology, and cognition by Sepideh Zarandooz, Laurel Raffington

“…While the degree of cross-tissue similarity of several MPSs may suffice for some research settings, it may not be suitable in clinical or commercial applications. …”
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Multi-response optimization of CuZn39Pb3 brass alloy turning by implementing Grey Wolf algorithm by Nikolaos Fountas, Angelos Koutsomichalis, John Kechagias, Nikolaos Vaxevanidis

“…This work in­ve­stigates the in­flu­ence of cutting conditions on machinability indicators such as the main cutting force Fc and surface roughness parameters Ra and Rt when longitudinally turning CuZn39Pb3 brass alloy. …”
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A comparison of supervised machine learning algorithms and feature vectors for MS lesion segmentation using multimodal structural MRI. by Elizabeth M Sweeney, Joshua T Vogelstein, Jennifer L Cuzzocreo, Peter A Calabresi, Daniel S Reich, Ciprian M Crainiceanu, Russell T Shinohara

“…Each MRI study has a manual lesion segmentation that we use to train and validate the supervised classification algorithms. Our main finding is that the differences in predictive performance are due more to differences in the feature vectors, rather than the machine learning or classification algorithms. …”
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RGB IMAGE BINARY DECOMPOSITION BASED ARABIC AND ENGLISH TEXTS HIDING ALGORITHM WITH 16 CHARACTERS FORMING VIGENERE KEY by Huda Hussein Abed, Salim Muhsin Wadi, Aqeel Sajjad Shaeel

“…The main feature of the proposed algorithm can be summarized as offering security without transferring any information relating to the secret texts with the stego image. …”
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Stochastic‐gradient‐based control algorithms for power quality enhancement in solar photovoltaic interfaced three‐phase distribution system by Dinanath Prasad, Narendra Kumar, Rakhi Sharma, Majed A. Alotaibi, Hasmat Malik, Fausto Pedro García Márquez, Mohammad Asef Hossaini

“…The main aim of implementing these algorithms is reactive power compensation, power quality enhancement, and load balancing in a single‐stage three‐phase grid‐tied PV system. …”
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