Plastic failure and deformation calculation of shaft structure in soil under lateral explosion by Shanzheng Sun, Yuan Liu

“…We compared the discrepancies between the finite element calculation model and the theoretical algorithm and examined the impacts of concrete strength, concrete thickness to radius ratio, steel plate thickness to radius ratio, and charge mass on steel plate displacement. …”
Get full text

Research on the pneumatic-electric braking collaborative control strategy for heavy-haul trains based on heuristic dual-end optimization by ZHANG Zhengfang, SHI Ke, LIU Haitao, WANG Yue, FENG Ling

“…At the same time, a neural network was designed to identify parameters for a nonlinear pneumatic braking model, thereby yielding predicted pneumatic braking forces. Subsequently, an A * algorithm was developed for iterative refinement within the finite set sequence, collaborative control sequence that satisfies the end constraints. …”
Get full text

Hybrid Paddy disease classification using optimized statistical feature based transformation technique with explainable AI by M Amudha, Brindha K

“…This research proposes a machine learning strategy based on Explainable AI that can assist farmers quickly diagnose and manage rice leaf diseases. To enhance predictive performance by transforming features, an improved Owl Search Optimization (IOSO) algorithm is used. …”
Get full text

Energy intensity of hydrocarbons in liquid and solid states by G. J. Кабо, L. A. Kabo, L. S. Karpushenkava, A. V. Blokhin

“…This analysis is required to substantiate the algorithm for locating energy-intensive CnHm structures.Methods. …”
Get full text

Detección de situaciones de emergencias usando el modelo Naive- Bayes de machine learning. by Iván Leonel Vásquez-Rojas, Miguel José Vívas-Cortéz

“…In general, the obtained model has an accuracy of 74.6% in its classification predictions. It is considered that the use of a Naive-Bayes model for a prototype in the classification of emergency messages from the social network X could be very useful based on the results of the evaluation of its classification performance.…”
Get full text

Calcium and Vitamin D supplements in the treatment of osteoporosis. by Ahmed I Alobaidi, Ahmed Hazim Al Aoodh, Nabeel Yousif Abdullah, HUSHAM JASSIM, Mubder Abdul_Raheem Mohammed saeed, Housamaddeen Alfarhan

“…The fracture risk assessment algorithm is a tool used by medical professionals to predict people at risk of fracture due to osteoporosis and to take steps to prevent that. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

Advanced hybrid computational analysis of febuxostat solubility using machine learning in supercritical processing method by Turki Al Hagbani, Rami M. Alzhrani, Majed Ahmed Algarni

“…As an innovative aspect of this research, in addition to the Voting model, the HHO algorithm has been used to tune the hyper-parameters of the models. …”
Get full text

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. …”
Get full text

The role of artificial intelligence in enhancing disaster preparedness and trauma care by Mohamad Sorani

“…Furthermore, ethical considerations such as data privacy, algorithmic bias, and equitable access are crucial to ensuring that AI-driven solutions are implemented responsibly and inclusively.This review also explores future directions for AI, including the development of sophisticated predictive models, autonomous systems for high-risk tasks, immersive training programs utilizing virtual and augmented reality, and global collaboration aimed at standardizing AI tools and practices. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

Variable Selection for Multivariate Failure Time Data via Regularized Sparse-Input Neural Network by Bin Luo, Susan Halabi

“…Both methods are optimized using a composite gradient descent algorithm combining standard gradient steps with proximal updates. …”
Get full text

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.…”
Get full text

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. …”
Get full text