Results 61 to 70 of about 823,383 (284)

Component Outage Estimation based on Support Vector Machine

, 2018
Predicting power system component outages in response to an imminent hurricane plays a major role in preevent planning and post-event recovery of the power system.
Eskandarpour, Rozhin, Khodaei, Amin
core   +1 more source

On Using a Support Vector Machine in Learning Feed-Forward Control [PDF]

, 2001
For mechatronic motion systems, the performance increases significantly if, besides feedback control, also feed-forward control is used. This feed-forward part should contain the (stable part of the) inverse of the plant.
Kruif, Bas J. de, Vries, Theo J.A. de
core   +4 more sources

Mycobacterial cell division arrest and smooth‐to‐rough envelope transition using CRISPRi‐mediated genetic repression systems

FEBS Open Bio, EarlyView.
CRISPRI‐mediated gene silencing and phenotypic exploration in nontuberculous mycobacteria. In this Research Protocol, we describe approaches to control, monitor, and quantitatively assess CRISPRI‐mediated gene silencing in M. smegmatis and M. abscessus model organisms.
Vanessa Point, Wafaa Achache, Janïs Laudouze, Eliana Sepulveda Ramos, Mickaël Maziero, Céline Crauste, Stéphane Canaan, Pierre Santucci   +7 more
wiley   +1 more source

Automatic detection of welding defects using the convolutional neural network [PDF]

, 2019
Quality control of welded joints is an important step before commissioning of various types of metal structures. The main obstacles to the commissioning of such facilities are the areas where the welded joint deviates from acceptable defective standards.
Altman, Chu, Gonzalez, Hou, Kasban, Kasban, Kingma, Kountchev, Krizhevsky, Lim, Russakovsky, Scholkopf, Sizyakin, Young   +13 more
core   +1 more source

dUTPase is essential in zebrafish development and possesses several single‐nucleotide variants with pronounced structural and functional consequences

FEBS Open Bio, EarlyView.
dUTPases are involved in balancing the appropriate nucleotide pools. We showed that dUTPase is essential for normal development in zebrafish. The different zebrafish genomes contain several single‐nucleotide variations (SNPs) of the dut gene. One of the dUTPase variants displayed drastically lower protein stability and catalytic efficiency as compared ...
Viktória Perey‐Simon, Angéla Békesi, Latifa Kazzazy, Jázmin Mihály, Máté Varga, Beáta G. Vértessy, Kinga Nyíri   +6 more
wiley   +1 more source

Klasifikasi Pasien Kanker Payudara Menggunakan Metode Support Vector Machine dengan Backward Elimination

Sistemasi: Jurnal Sistem Informasi, 2021
Abstrak Kanker payudara merupakan tumor ganas yang tumbuh pada sel-sel payudara dan dapat menyebar di antara jaringan atau organ di sekitar payudara dan berpindah ke bagian tubuh lainnya.
Rina Resmiati, Toni Arifin
doaj   +1 more source

Klasifikasi Berita Menggunakan Metode Support Vector Machine [PDF]

, 2022
Robbi Nanda, Elin Haerani, Siska Kurnia Gusti, Siti Ramadhani   +3 more
openalex   +1 more source

Systemic T Cell Receptor Profiling Reveals Adaptive Immune Activation and Potential Immune Signatures of Diagnosis and Brain Atrophy in Epilepsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Epilepsy is increasingly associated with immune dysregulation and inflammation. The T cell receptor (TCR), a key mediator of adaptive immunity, shows repertoire alterations in various immune‐mediated diseases. The unique TCR sequence serves as a molecular barcode for T cells, and clonal expansion accompanied by reduced overall TCR ...
Yong‐Won Shin, Sang Bin Hong, Yong Woo Shin, Inpyeong Hwang, Jaeseong Oh, Jihyeon Choi, Narae Kim, Jangsup Moon, Keun‐Hwa Jung, Kyung‐Il Park, Ki‐Young Jung, Kon Chu, Sang Kun Lee   +12 more
wiley   +1 more source

Exploring Kernel Machines and Support Vector Machines: Principles, Techniques, and Future Directions

Mathematics
The kernel method is a tool that converts data to a kernel space where operation can be performed. When converted to a high-dimensional feature space by using kernel functions, the data samples are more likely to be linearly separable.
Ke-Lin Du, Bingchun Jiang, Jiabin Lu, Jingyu Hua, M. N. S. Swamy   +4 more
doaj   +1 more source

TEXT CLASSIFICATION BASED ON SUPPORT VECTOR MACHINE

Tạp chí Khoa học Đại học Đà Lạt, 2019
The development of the Internet has increased the need for daily online information storage. Finding the correct information that we are interested in takes a lot of time, so the use of techniques for organizing and processing text data are needed. These
Lê Thị Minh Nguyện
doaj   +1 more source