The new provisions, constructive applied mechanism for new constructive provisions applied to mechanism for closing of packaging boxes closing

• 1. 适用于能源互联网的动态实时电价机制形成方法及系统 [P] . 中国专利： CN109376970B . 2021.03.12
• 2. 一种适用于认知网络的节点自适应休眠机制 [P] . 中国专利： CN108012317B . 2021.04.27
• 3. The new provisions, constructive applied mechanism for new constructive provisions applied to mechanism to release box exhaust box [P] . BR7300484D0 . 1974-09-24

  机译： 新规定，建设性适用机制新规定，建设性适用机制，适用于释放箱排气箱的机制

• 4. Constructive provision applied to packaging boxes [P] . BR7600217U . 1998-06-09

  机译： 适用于包装盒的建设性规定

• 5. CONSTRUCTIVE PROVISION APPLIED TO THE DEVICE STRUCTURE FOR CLOSING DECORATIVE AIR BALLOONS OR GAS [P] . BR202018006487U2 . 2019-10-15

  机译： 适用于关闭装饰性气球或气体的设备结构的构造规定

• 1. Stock Closing Price Forecasting Using Ensembles of Constructive Neural Networks [C] . Joao Rafael Stoffalette, Guidoni Tarcisio Fonseca, Bertini Joao Roberto, Brazilian Conference on Intelligent Systems . 2014
• 2. The incorporation of memory mechanisms into the Meta-RaPS constructive phase with application to the unrelated parallel machine scheduling problem [D] . Zegarra-Ballon Burga, Diego 2009
• 3. Constructive anthropomorphism: a functional evolutionary approach to the study of human-like cognitive mechanisms in animals [O] . Michal Arbilly, Arnon Lotem 2017
• 4. EEG Signal Discrimination using Non-linear Dynamics in the EMD Domain S. M. Shafiul Alam,S. M. Shafiul Alam,Aurangozeb, and Syed TarekShahriar Abstract—An EMD-chaos based approach is proposed todiscriminate EEG signals corresponding to healthy persons,and epileptic patients during seizure-free intervals and seizureattacks. An electroencephalogram (EEG) is first empiricallydecomposed to intrinsic mode functions (IMFs). The nonlineardynamics of these IMFs are quantified in terms of the largestLyapunov exponent (LLE) and correlation dimension (CD).This chaotic analysis in EMD domain is applied to a large groupof EEG signals corresponding to healthy persons as well asepileptic patients (both with and without seizure attacks). It isshown that the values of the obtained LLE and CD exhibitfeatures by which EEG for seizure attacks can be clearlydistinguished from other EEG signals in the EMD domain.Thus, the proposed approach may aid researchers in developingeffective techniques to predict seizure activities. Index Terms—Electroencephalogram (EEG), empiricalmode decomposition (EMD), largest Lyapunov exponent (LLE),correlation dimension (CD), epileptic seizures. The Authors are with the Electrical and Electronic EngineeringDepartment, Bangladesh University of Engineering and Technology,Dhaka-1000, Bangladesh (e-mail: imamul@eee.buet.ac.bd) PDF Cite: S. M. Shafiul Alam,S. M. Shafiul Alam,Aurangozeb, and Syed Tarek Shahriar, "EEG Signal Discrimination using Non-linear Dynamics in the EMD Domain," International Journal of Computer and Electrical Engineering vol. 4, no. 3, pp. 326-330, 2012. PREVIOUS PAPER Perception of Emotions Using Constructive Learningthrough Speech NEXT PAPER Physical Layer Impairments Aware OVPN Connection Selection Mechanisms Copyright © 2008-2013. International Association of Computer Science and Information Technology Press (IACSIT Press) [O] . S. M. Shafiul Alam, Syed TarekShahriar 2012
• 5. Federal Building and Fire Safety Investigation of the World Trade Center Disaster: Fire Protection and Life Safety Provisions Applied to the Design and Construction of WTC 1, 2, 7 and Post-Construction Provisions Applied After Occupancy. NIST NCSTAR 1 [R] . Grill, R. A. 2005

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