SOC fusion estimation for lithium battery using dual OCV-SOC relationships combined with fractional order extended Kalman filter by Ying Wei

“…The fusion weights are established using the predicted voltage error. The US06 Highway Driving Schedule and Beijing Dynamic Stress Test (BJDST) are used for verifying the proposed method. …”
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Fatigue-Aware Sub-Second Combinatorial Auctions for Dynamic Cycle Allocation in Human–Robot Collaborative Assembly by Claudio Urrea

“…Method: A human and a FANUC robot submit bids combining execution time, predicted energy, and real-time fatigue; a greedy algorithm (≤1 ms) with a <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>1</mn><mo>−</mo><mn>1</mn><mo>/</mo><mi>e</mi></mrow></semantics></math></inline-formula> approximation guarantee and <i>O</i> (|<i>Bids</i>| log |<i>Bids</i>|) complexity maximizes utility. …”
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Neural Network-Based Lower Limb Prostheses Control Using Super Twisting Sliding Mode Control by Adisu Tadese Demora, Chala Merga Abdissa

“…The triggering signal is extracted from the user&#x2019;s muscles and intense signal preprocessing that includes filtering, rectification, linearization, and Mean Average Value (MAV) feature extraction. The ANN predicts joint angles for walking, upstairs, and downstairs using the processed sEMG signals of the muscles and measured and filtered target joint angles. …”
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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

“…In this study, we explored the potential for physiological habituation to stressful events to predict PTSD status. We used passive physiological data collected from 21 active-duty United States military personnel and veterans in an immersive virtual environment with high-stress combat-related conditions involving trigger events such as explosions or flashbangs. …”
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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

“…We show that a discrimination learning network using gradient orientation features as input units and word and nonword units as outputs succeeds in predicting baboon lexical decision behavior-including key lexical similarity effects and the ups and downs in accuracy as learning unfolds-with surprising precision. …”
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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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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

“…Monitoring of the foredune state is an important stage in maintaining its condition and also provides an empirical basis for predicting the impact of hazardous events. The use of ground-based laser scanning technology as well as digital photogrammetry for the study of sensitive coastal zones is justified for these purposes. …”
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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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Statistical estimation of regional differences in regions of the Russian Federation in terms of educational potential of young generations by O. V. Potasheva, M. V. Moroshkina

“…As the part of the presentation of this  paper, the authors proposed an algorithm for comparative analysis of the educational potential of young people by regions of the Russian  Federation and a typological grouping was carried out. …”
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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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Contagious disease outbreaks: Distinguishing between constant and variable order using the SEIAR model by S.Sepehr Tabatabaei, Mohammadreza Dehghan

“…These results demonstrate the model's superior accuracy in predicting the epidemic's progression. These findings significantly contribute to the understanding and management of contagious diseases. …”
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Enhancing Lung Ultrasound Diagnostics: A Clinical Study on an Artificial Intelligence Tool for the Detection and Quantification of A-Lines and B-Lines by Mahdiar Nekoui, Seyed Ehsan Seyed Bolouri, Amir Forouzandeh, Masood Dehghan, Dornoosh Zonoobi, Jacob L. Jaremko, Brian Buchanan, Arun Nagdev, Jeevesh Kapur

“…In quantifying B-lines, the algorithm achieved a weighted kappa score of 0.77 (95% CI 0.74 to 0.80) and an ICC of 0.87 (95% CI 0.85 to 0.89), showing substantial agreement between the ground truth and predicted B-line counts. …”
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Enhancing cotton irrigation with distributional actor–critic reinforcement learning by Yi Chen, Meiwei Lin, Zhuo Yu, Weihong Sun, Weiguo Fu, Liang He

“…Accurate predictions of irrigation’s impact on crop yield are crucial for effective decision-making. …”
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Fourier Analysis of CMFD Method in Cylindrical Geometry by WEN Yuchen, HAO Chen, WANG Yizhen

“…The results demonstrate that the acceleration efficiency of the CMFD method aligns with the phenomena predicted by the Fourier analysis in cylindrical geometry. …”

Systematic pan-cancer analysis identifies PKNOX1 as a potential prognostic and immunological biomarker and its functional validation by Kan Liu, Yongkang Xu, Ye Mao, Shumin Fu, Shenglan Huang, Jianbing Wu

“…The correlations between PKNOX1 expression and MDSC immune infiltration and immune cells were analyzed using the TIDE algorithm and the ESTIMATE algorithm. PKNOX1 -interacting proteins and expression-related genes were analysed via the STRING and TIMER 2.0 platforms, and the functions of PKNOX1 in tumors and the cell pathways involved were predicted via KEGG enrichment analysis. …”
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