Results 71 to 80 of about 312,403 (279)

K-Nearest Neighbors (KNN) to Determine BBRI Stock Price

Sistemasi: Jurnal Sistem Informasi
Sales prediction is a calculation aimed at forecasting future conditions by analyzing past situations. The research method used in this study is the Research and Development (RnD) method.
Abdullah Afif Baihaqi, M. Fakhriza
doaj   +1 more source

Sistem Rekomendasi Film Berbasis Website Dengan Metode Prototype Menggunakan Algoritma K-Nearest Neighbors (KNN)

JOINS (Journal of Information System), 2020
Industry perfilman dunia merupakan salah satu industry yang  tidak terpengaruh dengan maraknya hiburan digital seperti munculnya media social, program televisi yang beragam dan game.
Alifia Rahma Fitrianti, Asih Rohmani, Widjanarto Widjanarto   +2 more
doaj   +1 more source

Using Choquet integrals for kNN approximation and classification

, 2008
k-nearest neighbors (kNN) is a popular method for function approximation and classification. One drawback of this method is that the nearest neighbors can be all located on one side of the point in question x.
Beliakov, Gleb, James, Simon
core   +1 more source

Microglial dynamics and ferroptosis induction in human iPSC‐derived neuron–astrocyte–microglia tri‐cultures

FEBS Open Bio, EarlyView.
A tri‐culture of iPSC‐derived neurons, astrocytes, and microglia treated with ferroptosis inducers as an Induced ferroptosis model was characterized by scRNA‐seq, cell survival, and cytokine release assays. This analysis revealed diverse microglial transcriptomic changes, indicating that the system captures key aspects of the complex cellular ...
Hongmei Lisa Li, Hiroko Ohmiya, Sou Sakamoto, Masato Yugami, Akiko Oki, Makoto Furusawa, Yan Ling   +6 more
wiley   +1 more source

Klasifikasi Cardiovascular Diseases Menggunakan Algoritma K-Nearest Neighbors (KNN)

Techno.Com
Penyakit Kardiovaskular (Cardiovascular Diseases) adalah faktor utama kematian global, dengan jumlah korban mencapai 17,9 juta jiwa setiap tahun atau sekitar 32% dari total kematian global (World Health Organization, 2021).
Vera Artanti, Muhammad Faisal, Fachrul Kurniawan   +2 more
doaj   +1 more source

k-Nearest Neighbors Algorithm in Profiling Power Analysis Attacks [PDF]

Radioengineering, 2016
Power analysis presents the typical example of successful attacks against trusted cryptographic devices such as RFID (Radio-Frequency IDentifications) and contact smart cards.
Z. Martinasek, V. Zeman, L. Malina, J. Martinasek   +3 more
doaj  

Multi‐omics and low‐input proteomics profiling reveals dynamic regulation driving pluripotency initiation in early mouse embryos

FEBS Open Bio, EarlyView.
Mouse pre‐implantation development involves a transition from totipotency to pluripotency. Integrating transcriptomics, epigenetic profiling, low‐input proteomics and functional assays, we show that eight‐cell embryos retain residual totipotency features, whereas cytoskeletal remodeling regulated by the ubiquitin‐proteasome system drives progression ...
Wanqiong Li, Xi Xiao, Lingbin Qi, Chanyi Li, Sirui Song, Jiaying Qin, Zhigang Xue, Jinfeng Xue, Huaifang Li   +8 more
wiley   +1 more source

Applicability of mitotic figure counting by deep learning: a development and pan‐cancer validation study

FEBS Open Bio, EarlyView.
In this study, we developed a deep learning method for mitotic figure counting in H&E‐stained whole‐slide images and evaluated its prognostic impact in 13 external validation cohorts from seven different cancer types. Patients with more mitotic figures per mm2 had significantly worse patient outcome in all the studied cancer types except colorectal ...
Joakim Kalsnes, Maria X. Isaksen, Frida Julbø, Manohar Pradhan, Andreas Kleppe, Sepp De Raedt, Ole‐Johan Skrede, Turid Torheim, John Arne Nesheim, Hans Martin Mohn, Hanne A. Askautrud, Karolina Cyll, Wanja Kildal, Emma Rewcastle, Melinda Lillesand, Vebjørn Kvikstad, Emiel Janssen, Robert Jones, Odd Terje Brustugun, Bjørn Brennhovd, Erik Skaaheim Haug, Lill‐Tove Rasmussen Busund, Elin Richardsen, Sigve Andersen, Tom Dønnem, Kristina Lindemann, Gunnar Kristensen, Neil A. Shepherd, Marco Novelli, Knut Liestøl, David Kerr, Håvard E. Danielsen, Tarjei S. Hveem   +32 more
wiley   +1 more source

Geographical Origin Identification of Panax notoginseng Using a Modified K-Nearest Neighbors Model With Near-Infrared Spectroscopy

IEEE Access
This study introduces a novel method for identifying the geographical origins of Panax notoginseng using near-infrared spectroscopy and a modified K-nearest neighbors algorithm.
Xuefeng Cheng, Min Liao, Juan Liu
doaj   +1 more source

Exact bootstrap k-nearest neighbor learners [PDF]

Machine Learning, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources