Results 171 to 180 of about 7,794,647 (291)

A hybrid stacked autoencoder and support vector machines-based expert system for heart failure detection. [PDF]

Sci Rep
Kamal MM, Khan W, Shambour QY, Gafar MA, Alarifi A, Sheraz M, Chuah TC.   +6 more
europepmc   +1 more source

Universal expressiveness of variational quantum classifiers and quantum kernels for support vector machines. [PDF]

Nat Commun, 2023
Jäger J, Krems RV.
europepmc   +1 more source

Optimal Control Drives Ultrafast and Energy‐Efficient Magnetization Switching in Van der Waals Magnets

Advanced Materials, EarlyView.
ABSTRACT The accelerating expansion of data‐centric technologies is sharply increasing the energy burden of information storage, placing unprecedented pressure on the efficiency of magnetic switching. Conventional field‐driven reversal, once the foundation of magnetic memory, has become impractical in modern architectures due to its high energy cost ...
Mohammad H. Badarneh, PeiYu Cai, Elton J. G. Santos   +2 more
wiley   +1 more source

Transfer learning models for bacterial strain dissemination biomarkers using weighted non-parallel proximal support vector machines. [PDF]

BMC Bioinformatics
Ugwu UO, Slayden RA, Kirby M.
europepmc   +1 more source

SVM-DO: identification of tumor-discriminating mRNA signatures via support vector machines supported by Disease Ontology. [PDF]

Turk J Biol, 2023
Özer ME, Özbek Sarica P, Arğa KY.
europepmc   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Support vector machines predict postoperative memory outcomes in temporal lobe epilepsies. [PDF]

Epilepsia Open
Ethofer S, Erb M, Milian M, Rona S, Lerche H, Honegger J, Ethofer T.   +6 more
europepmc   +1 more source

Optimizing support vector machines and autoregressive integrated moving average methods for heart rate variability data correction. [PDF]

MethodsX, 2023
Svane J, Wiktorski T, Ørn S, Eftestøl TC.   +3 more
europepmc   +1 more source

Leaftronics: Bio‐Fractal Scaffolds From Leaf Venation for Low‐Waste Electronics

Advanced Materials, EarlyView.
“Leaftronics” transforms naturally evolved leaf venation into quasi‐fractal scaffolds for sustainable electronics. Polymer‐infiltrated leaf skeletons can be used to fabricate ultra‐smooth, reflow‐ and thin‐film‐compatible decomposable substrates, while making the same lignocellulose networks conducting results in flexible transparent electrodes.
Rakesh Rajendran Nair, Hrisheekesh Thachoth Chandran, Karl Leo, Hans Kleemann   +3 more
wiley   +1 more source

Support Vector Machines in Polymer Science: A Review. [PDF]

Polymers (Basel)
Malashin I, Tynchenko V, Gantimurov A, Nelyub V, Borodulin A.   +4 more
europepmc   +1 more source