Neural Network-Based Lower Limb Prostheses Control Using Super Twisting Sliding Mode Control by Adisu Tadese Demora, Chala Merga Abdissa

“…The neural network structure is built using Feed-forward Neural Network (FFNN) architecture and Levenberg-Marquardt (LM) back-propagation training algorithm for accuracy, fast convergence, and reliable optimization of nonlinear relationships. …”
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New approach to strongly coupled N $$ \mathcal{N} $$ = 4 SYM via integrability by Simon Ekhammar, Nikolay Gromov, Paul Ryan

“…We demonstrate how to use this approach to construct a new numerical algorithm that remains stable even at a ’t Hooft coupling as large as 106 (or g ~ 100). …”
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Assessment of PTSD in military personnel via machine learning based on physiological habituation in a virtual immersive environment by Gauthier Pellegrin, Nicolas Ricka, Denis A. Fompeyrine, Thomas Rohaly, Leah Enders, Heather Roy

“…Using a Gaussian process classifier, we prove that habituation to stressful events is a predictor of PTSD status, measured via the PTSD Checklist Military version (PCL-M). Our algorithm achieved an accuracy of 80.95% across our cohort. …”
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Non-covalent interaction of boron and nitrogen atoms by A.A. Sokurov, S.S. Rekhviashvili

“…The calculation of the interaction between boron and nitrogen atoms is interesting from the point of view of predicting physical properties and creating new dielectric materials and carbon-free nanomaterials. …”

Are baboons learning "orthographic" representations? Probably not. by Maja Linke, Franziska Bröker, Michael Ramscar, Harald Baayen

“…However, given that pigeons (columba livia), whose brain morphology is drastically different, can also be trained to distinguish between English words and nonwords, it appears that a less species-specific learning algorithm may be required to explain this behavior. …”
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Financial Technology and Financial Inclusion in Remote Areas of Algeria. Analytical Study Using Data Mining by Hassiba Hadouga

“…A data mining tool was used to analyze the study data, and the survey participants' K algorithm was later used to predict the behavior patterns of people from a similarly contextualized community regarding financial activities. …”
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Estimate Programmatic Effort using the Traditional COCOMO Model and Neural Networks by Jamal Al-Din Sayed Majeed, Isra Majeed Qabaa

“…Estimation models in software engineering are used to predict some important and future features for software project such as effort estimation for developing software projects. …”
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Nanometer-Scale CO2-Shale Oil Minimum Miscibility Pressure Calculations Based on Modified PR-EOS by Yahui Bu, Qian Sun, Shuoran Fu, Lingkong Guo, Na Zhang

“…Secondly, the flash calculation algorithm is employed to determine whether the oil and gas phases in nanopores have reached an equilibrium state according to the equality of the fugacity of the two phases. …”
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Data-Efficient Sowing Position Estimation for Agricultural Robots Combining Image Analysis and Expert Knowledge by Shuntaro Aotake, Takuya Otani, Masatoshi Funabashi, Atsuo Takanishi

“…We then applied a trajectory optimization algorithm based on the traveling salesman problem to generate efficient sowing paths. …”
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Comparative Analysis of the Unmanned Aerial Vehicles and Terrestrial Laser Scanning Application for Coastal Zone Monitoring by Danchenkov Aleksandr, Belov Nikolay

“…In comparison with TLS, the use of UAV with the SfM algorithm is limited to post-storm surveys, since the final accuracy does not provide for reliable lithodynamic studies due to the small scale of processes comparable to measurement errors.…”
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IOL Power Calculation Features after Radial Keratotomy by A. A. Kasyanov, E. G. Ryzhkova

“…The Haigis formula, which does not use keratometry to predict ELP, was chosen as the main one for the calculation. …”
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A LIFE EVALUATION METHED FOR FRONT AXLE BASED ON FRONT AXLE DYNAMICS MODEL by FENG Jinzhi, SANG Wuzhuang, ZHANG Dongdong, LI Liangliang, LIU Xinrong, ZHAO Lihui

“…The life of front axle was obtained based on the whole vehicle dynamics model and the measured road load, and the useful information and life prediction results in the above process were employed to guide the construction of driving load applied on front axle. …”
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Land use and land cover dynamics of the Weito River catchment in the Ethiopian rift using remote sensing and CA Markov modelling approaches by Tamene Tadele, Yohannes Degu, Abraham Mechal

“…The present study assessed the spatio-temporal dynamics of LULC in the Weito River Catchment (WRC) by classifying satellite images from 1986 (LANDSAT-5), 2003 (LANDSAT-7), and 2023 (LANDSAT-9) using maximum likelihood classification algorithm. The prediction was made for 2043 with the Markov chain model. …”
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Smart control of windows for intermittent ventilation in public housing in Hong Kong based on deep neural network models by Yifu Shi, Ho Kam Dai

“…First, deep neural network (DNN) models were developed to predict the ventilation rate for each unit of a public housing building in Hong Kong, with the database obtained from computational fluid dynamics (CFD) and multi-zone airflow models. …”
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Finite Volume Incompressible Lattice Boltzmann Framework for Non-Newtonian Flow Simulations in Complex Geometries by Akshay Dongre, John Ryan Murdock, Song-Lin Yang

“…After validating the FV-iLBM solver for simulating non-Newtonian flows, pulsatile blood flow through an artery afflicted with multiple stenoses was simulated, accurately predicting wall shear stress and flow separation. The results establish FV-iLBM as an efficient and accurate method for modeling cardiovascular flows.…”
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Determination of cavitation zone for cavitating waterjet machining using numerical simulation by Amresh Kumar, Tufan Chandra Bera, Bijay Kumar Rout

“…Finally, this work accurately predicts the standoff distance and cavitation intensity in the downstream of flow domain.…”
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Hybrid attention transformer integrated YOLOV8 for fruit ripeness detection by Jianyin Tang, Zhenglin Yu, ChangShun Shao

“…To more accurately evaluate the similarity between the prediction box and the real bounding box, this paper uses the EIoU loss function instead of CIoU, thereby improving detection accuracy and accelerating model convergence. …”
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Contagious disease outbreaks: Distinguishing between constant and variable order using the SEIAR model by S.Sepehr Tabatabaei, Mohammadreza Dehghan

“…A heuristic approach is proposed for parameter estimation using a Genetic Optimization Algorithm, which evaluates all possible scenarios for the order and suggests parameter sets that perform well across these scenarios. …”
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Novel Insights from Comprehensive Bioinformatics Analysis Utilizing Large-Scale Human Transcriptomes and Experimental Validation: The Role of Autophagy in Periodontitis by Liu F, Zhu Z, Zou H, Huang Z, Xiao S, Li Z

“…Subsequently, a comprehensive analysis of immune cell infiltrate utilizing the CIBERSORT algorithm was performed. Finally, leveraging the DSigDB database, potential candidate drugs for periodontitis treatment targeting autophagy were predicted.Results: A total of 79 genes have been identified as DEARGs in periodontitis. …”
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Relationship Between Sepsis Phenotypes and Treatment Characteristics of Patients with Viral and Bacterial Pneumonia by I. A. Ruslyakova, E. Z. Shamsutdinova, L. B. Gaikovaya

“…New subgroups of patients with severe community-acquired pneumonia (SCAP) are hardly predicted by the use of clinical covariates; clusterization may significantly improve diagnostic approaches and facilitate the adaptation of specific treatment modalities to patient’s individual characteristics.The aim of the study. …”
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