Results 91 to 100 of about 1,959,519 (287)
Machine Learning in Quasi-Newton Methods
In this article, we consider the correction of metric matrices in quasi-Newton methods (QNM) from the perspective of machine learning theory. Based on training information for estimating the matrix of the second derivatives of a function, we formulate a ...
Vladimir Krutikov +4 more
doaj +1 more source
Methodology for assessing the predicted didactic effects from the use of educational and training tools [PDF]
The assessment of didactic effect is the most important in evaluating the effectiveness of training simulators. Modern methods of training specialists have shown that the most applicable at present is the step-by-step formation of skills and abilities ...
Zhukov Aleksandr +4 more
doaj +1 more source
The study investigates novel semi‐finished products made of unidirectionally arranged hemp or pineapple leaf fiber‐reinforced composites produced from different matrices. The materials are analyzed in terms of their mechanical and interfacial properties and void content.
Nina Graupner +22 more
wiley +1 more source
Exploring Application Performance on Emerging Hybrid-Memory Supercomputers
Next-generation supercomputers will feature more hierarchical and heterogeneous memory systems with different memory technologies working side-by-side.
Gioiosa, Roberto +4 more
core +1 more source
The growing demand for lightweight, nontoxic, and multifunctional gamma shielding materials has intensified efforts to find alternatives to conventional lead and aluminum‐based protectants. In this work, we develop epoxy quartz fabric composites reinforced with cobalt chloride (CoCl2) microparticles, fabricated via hand lay‐up with varying filler ...
Summan Urooge +7 more
wiley +1 more source
Modeling Stochastic Hybrid Systems [PDF]
Stochastic hybrid systems arise in numerous applications of systems with multiple models; e.g., air traffc management, flexible manufacturing systems, fault tolerant control systems etc. In a typical hybrid system, the state space is hybrid in the sense that some components take values in a Euclidean space, while some other components are discrete.
Ghosh, Mrinal K., Bagchi, Arunabha
openaire +2 more sources
Carbon nanomaterial‐reinforced epoxy composites exhibit pronounced piezoresistive behavior, enabling intrinsic damage sensing under cyclic and fatigue loading. This review critically compares carbon nanotube and graphene systems, correlating filler content, percolation threshold, and gauge factor with sensing stability and damage evolution.
J. M. Parente +3 more
wiley +1 more source
A Novel High Performance Object Identification Approach in Care Homes Using Gaussian Preprocessing
As the global population ages, the prevalence of dementia is expected to surge, necessitating innovative solutions to support the growing number of affected individuals.
Sara Auweiler +4 more
doaj +1 more source
3D‐Printed Giant Magnetoresistive (GMR) Sensors Based on Self Compliant Springs
This work explores 3D‐printed GMR sensors utilizing self‐compliant spring structures and conductive PLA composites. By optimizing arm width, we achieved high piezoresistive (0.34%/mm) and magnetoresistive (0.77%/mT) sensitivities. Demonstrated through Bluetooth‐integrated pressure and magnetic position sensing, these full printed low‐cost, customizable
Josu Fernández Maestu +4 more
wiley +1 more source
Impact of surface treatments on the photocatalytic performance of anodic aluminum oxide templates
Nanostructured materials receive great interest nowadays due to their unique properties, increased surface areas, and superior performances with associated reduced material usage.
Carina Hedrich +9 more
doaj +1 more source

