Results 51 to 60 of about 300,156 (297)
FUZZY MODEL FOR TIME SERIES FORECASTING
Scientific Journal of Astana IT University, 2023 Abstract: In 2007, in Kazakhstan, there was a transition of TDM (Time Division Multiplexing) circuit-switched technologies to IP (Internet Protocol) packet technology, which created a modern infrastructure for the ICT (information communication technologies) sphere.
Zhanar Ibraeva +2 more
openaire +1 more source
Advanced Functional Materials, EarlyView.This study introduces VIVID (Vesicle In Vivo Identification using DNA), a qPCR‐based platform that tracks PCR‐amplifiable DNA tags loaded in the EVs for accurate and quantifiable EV biodistribution in vivo. ABSTRACT Extracellular vesicles (EVs) represent promising carriers for nucleic acid therapeutics, offering advantages over synthetic nanoparticles ...
Oscar Boyadjian +5 more
wiley +1 more source
Data-Adaptive Dynamic Time Warping-Based Multivariate Time Series Fuzzy Clustering
IEEE AccessMultivariate time series (MTS) clustering has become a critical research area. Current methods typically rely on space projection or representation learning for clustering but tend to overlook the significance and contribution of MTS dimensions, leading ...
Qinglin Cai +3 more
doaj +1 more source
Hedge Algebra Approach for Fuzzy Time series To Improve Result Of Time Series Forecasting
EAI Endorsed Transactions on Context-aware Systems and Applications, 2018 During the recent years, many different methods of using fuzzy time series for forecasting have been published. However, computation in the linguistic environment one term has two parallel semantics, one represented by fuzzy sets (computation-semantics ...
Loc Vuminh, Dung Vuhoang
doaj +1 more source
Advanced Functional Materials, EarlyView.A dual‐layer living hydrogel, ProΦGel, integrates bacteriophages and probiotics for synergistic wound infection therapy. The outer gelatin‐based matrix releases phages on demand in response to P. aeruginosa infections, while inner alginate beads sustain probiotic delivery.
Siyuan Tao +6 more
wiley +1 more source
Perbandingan Metode Fuzzy Time Series Cheng dan Metode Box-Jenkins untuk Memprediksi IHSG [PDF]
, 2014 Proses peramalan sangat penting pada data time series karena diperlukan dalam proses pengambilan keputusan. Pada bidang finansial peramalan dapat digunakan untuk memantau pergerakan Indeks Harga Saham Gabungan (IHSG) yang akan datang. Perkembangan metode
Irawan, M. I. (M) +1 more
core +2 more sources
Advanced Functional Materials, EarlyView.Cephalopod‐inspired photonic microparticles with dynamic structural coloration are fabricated via confined self‐assembly of linear block copolymers into ellipsoids containing stacked lamellae. Embedded superparamagnetic nanoparticles enable rapid magnetic alignment, restoring vivid, angle‐dependent color.
Gianluca Mazzotta +8 more
wiley +1 more source
Fuzzy Logic of Non-Stationary Time Series Models with an Application [PDF]
المجلة العراقية للعلوم الاحصائية, 2010 This research is dedicated to study non-stationary time series , and the ability of using fuzzy logic in order to improve forecasting. The non-stationary time series (Mixed autoregressive and moving average model) has been linked with fuzzy logic in ...
doaj +1 more source
Modified weighted for enrollment forecasting based on fuzzy time series [PDF]
, 2009 The enrollment study is main point for the university planning. Many previous studies have been presented for enrollment forecasting. This paper proposed the adoption the weighted and the difference between actual data toward midpoint interval based on ...
Efendi, Riswan +2 more
core
Rainfall Prediction Using Fuzzy Time Series
NUCLEUS, 2021 Flood is one of the problems faced by DKI Jakarta Province. To be able to reduce losses caused by flooding is to predict rainfall. The type of research is quantitative research using rainfall prediction method using Fuzzy Time Series (FTS) which was developed by Stevenson & Porter (2009).
Adhi Susano, Wulan Anggraeni
openaire +2 more sources