Results 61 to 70 of about 34,857 (308)
Fuzzy data mining for time-series data
, 2012 Time series analysis has always been an important and interesting research field due to its frequent appearance in different applications. In the past, many approaches based on regression, neural networks and other mathematical models were proposed to ...
Chen, Chun-Hao; Hong, Tzung-Pei; Tseng, Vincent S. +1 more
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Recent Advances of Slip Sensors for Smart Robotics
Advanced Materials Technologies, EarlyView.This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
wiley +1 more source
TAIEX Forecasting Based on Fuzzy Time Series and Technical Indices Analysis of the Stock Market
, 2017 This paper presents a new method for forecasting the TAIEX based on fuzzy time series and technical indices analysis of the stock market. Because the proposed method uses both fuzzy time series and technical indices analysis of the stock market to ...
陳錫明;Chen, Shyi-ming;王正一;Wang, Cheng-yi
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Guest Editorial : Evolving Fuzzy Systems : preface to the special section. [PDF]
, 2008 It is a well-recognized fact that the theory of fuzzy sets and systems, for the last four decades after the seminal paper by Professor Zadeh [1], has demonstrated its remarkable ability to go beyond conventional information representation. It resulted in
Angelov, Plamen +5 more
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Advanced Materials Technologies, EarlyView.An automation interface for environmental scanning electron microscopy (ESEM) enables simultaneous, interlaced data sets via frame‐by‐frame parameter changes. Demonstrated on oscillatory hydrogen oxidation over cobalt (Co) foil, dual‐magnification imaging bridges mesoscopic to microscopic length scales, capturing alternating views of surface dynamics ...
Maurits Vuijk +7 more
wiley +1 more source
Network Traffic Anomaly Detection Algorithm Based on Intuitionistic Fuzzy Time Series Graph Mining
IEEE Access, 2020 Network traffic anomaly detection is an important technology in cyberspace security. Combining information entropy theory and a variable ordering heuristic intuitionistic fuzzy time series forecasting model, we present a traffic anomaly detection ...
Ya-Nan Wang +3 more
doaj +1 more source
Forecasting Time Series with Genetic Fuzzy Predictor Ensemble
, 2019 This paper proposes a genetic fuzzy predictor ensemble (GFPE) for the accurate prediction of the future in the chaotic or nonstationary time series.
Kim, C, Kim, DJ
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Advanced Robotics Research, EarlyView.This article introduces a soft wearable eyelid sling device incorporating a hydraulic soft artificial muscle (SAM) for achieving complete closure of an eyelid. The SAM is driven by a cam mechanism that provides a displacement profile closely matched with those of a healthy eyelid.
Patrick Pruscino +7 more
wiley +1 more source
An AI‐Enabled All‐In‐One Visual, Proximity, and Tactile Perception Multimodal Sensor
Advanced Robotics Research, EarlyView.Targeting integrated multimodal perception of robots, an AI‐enabled all‐in‐one multimodal sensor is proposed. This sensor is capable of perceiving three types of modalities, including vision, proximity, and tactility. By toggling an ultraviolet light and adjusting the camera focus, it switches smoothly between multiple perceptual modalities, enabling ...
Menghao Pu +7 more
wiley +1 more source
Granular Weighted Fuzzy Approach Applied to Short-Term Load Demand Forecasting
TechnologiesThe development of accurate models to forecast load demand across different time horizons is challenging due to demand patterns and endogenous variables that affect short-term and long-term demand. This paper presents two contributions.
Cesar Vinicius Züge +1 more
doaj +1 more source