Cryptographic key generation using deep learning with biometric face and finger vein data by Tsehayu Gizachew Yirga, Hailu Gizachew Yirga, Eshetie Gizachew Addisu

“…This research proposes a novel approach to cryptographic key generation using biometric data from face and finger vein modalities enhanced by deep learning techniques. …”
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Influence of Sliding Time Window Size Selection Based on Heart Rate Variability Signal Analysis on Intelligent Monitoring of Noxious Stimulation under Anesthesia by Qiang Yin, Dai Shen, Qian Ding

“…In the process of data processing, the empirical mode decomposition is used to decompose and recombine heart rate variability signals, and the sliding time window approach is used to extract the signal features of noxious stimulation, respectively. …”
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Optimization of non-thermal plasma process to remove methyl blue towards application in wastewater treatment by Quoc Phong Ho, Nam Truong-Hoang, Thong Lam-Phuc, Thi Bich Thuyen Nguyen, Dung Nguyen-Van, Huu Ha Giang Pham, Lien Huong Huynh

“…Four independent factors such as plasma power, liquid flow rate, air flow rate, and exposure time were investigated. …”
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Effect of Adding Kaffir Lime Leaf Powder (Citrus hystrix) and Citronella Leaf Powder (Cymbopogon nardus) in Salted Egg on pH, Antioxidant, Moisture Content, and Organoleptics by Ardiyanti Rahma Setiawati, Dedes Amertaningtyas, Ahmad Khoirul Umam

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Optimization of non-thermal plasma process to remove methyl blue towards application in wastewater treatment by Quoc Phong Ho, Nam Truong-Hoang, Thong Lam-Phuc, Thi Bich Thuyen Nguyen, Dung Nguyen-Van, Huu Ha Giang Pham, Lien Huong Huynh

“…Four independent factors such as plasma power, liquid flow rate, air flow rate, and exposure time were investigated. …”
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Amphibalanus amphitrite begins exoskeleton mineralization within 48 hours of metamorphosis by Rebecca A. Metzler, Jessica O'Malley, Jack Herrick, Brett Christensen, Beatriz Orihuela, Daniel Rittschof, Gary H. Dickinson

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Performance Analysis of Air Gap Membrane Distillation Process Enhanced with Air Injection for Water Desalination by Jonathan Ibarra-Bahena, Ulises Dehesa-Carrasco, Rogelio Servando Villalobos-Hernández, Sofía Garrido-Hoyos, Wilfrido Rivera

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EXPERIMENTAL VERIFICATION OF EFFECTIVENESS OF TAKING PART IN ADDITIONAL MOTOR ACTIVITIES IN CONNECTION WITH FEMALE ABILITY by Y. Zlatarova

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Evaluation of the Economic Performances of the European Union Countries and Turkey in the Covid-19 Process with the COPRAS Method by Halil Kete, Fatih Karasaç

“…In the study, countries for economic performance measurement; GDP growth rates, per capita GDP current account balance, budget balance, unemployment rate, EU defined general government debt stock and inflation rate data are used. …”
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Effect of aerobic physical training on cardiac vagal reactivation in young sedentary by Mário Augusto Paschoal, Tuanny Teixeira Pinheiro, Gabriela Mariani Brigliador, Thaís Maria Alvarenga Caruso, Layse Nakazato Guedes de Lima

“…The register was sent to a computer to be processed the heart rate variability (HRV) analysis using the index pNN50, RMSSD and HF (u.n.) of the times 0-5min and 5-10min post-effort. …”
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Machining characteristics and process parameter optimization of Near-dry electrical discharge milling of titanium alloy by Shaopeng Kang, Xianghua Zhuo, Linglei Kong, Yanxin Li, Yafeng He

“…Using Grey Relational Analysis (GRA), the multi-objective optimal machining parameters were identified as: 2 A current, 40% duty cycle, 0.2 MPa gas pressure, and 20 ml/min atomization rate. These parameters significantly enhance both processing efficiency and surface quality.…”
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Adiabatic response of 𝟑𝒔𝟐 → 𝟐𝒑𝟒 and 𝟑𝒔𝟑 → 𝟐𝒑𝟓 neon transitions to laser field variations by Delibašić-Marković Hristina S., Petrović Violeta M., Petrović Ivan D.

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Sparse signal transmission under lossy wireless links based on double process of compressive sensing by Peng SUN, Gui-nan LI, Lian-tao WU, Zhi WANG

“…In resource-limited wireless sensor networks,links with poor quality hinder its large-scale applications seriously.Thanks to the inherent sparse property of signals in WSN,the framework of sparse signal transmission based on double process of compressive sensing was proposed,providing an insight into a new way of real-time,accurate and energy-efficient sparse signal transmission.Firstly,the random packet loss during transmission under lossy wireless links was modeled as a linear dimension-reduced measurement process of CS (a passive process of CS).Then,considering that a large packet was often adopted in WSN for higher transmission efficiency,a random linear dimension-reduced projection (a simple source coding operation) was employed at the sender node (an active process of CS) to prevent block data loss.Now,the raw signal could be recovered from the lossy data at the receiver node using CS reconstruction algorithms.Furtherly,according to the theory of CS reconstruction and the formula of packet reception rate in wireless communication,the minimum compression ratio and the maximum packet length allowed were obtained.Extensive simulations demonstrate that the reliability of data transmission and its accuracy,the data transmission volume,the transmission delay and energy consumption could be greatly optimized by means of proposed method.…”
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Intelligent Stress Detection Using ECG Signals: Power Spectrum Imaging with Continuous Wavelet Transform and CNN by Rodrigo Mateo-Reyes, Irving A. Cruz-Albarran, Luis A. Morales-Hernandez

“…This study proposes a model based on depth-separable convolutional neural networks (DSCNN) to analyze heart rate variability (HRV) and detect stress. Electrocardiogram (ECG) signals are pre-processed to remove noise and ensure data quality. …”
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Inertial-Based Human Motion Capture: A Technical Summary of Current Processing Methodologies for Spatiotemporal and Kinematic Measures by Benjamin R. Hindle, Justin W. L. Keogh, Anna V. Lorimer

“…The main workflow pertaining to the estimation of spatiotemporal and kinematic measures was presented, and a general overview of previous methodologies used for each stage of data processing was provided. For the estimation of spatiotemporal measures, which includes stride length, stride rate, and stance/swing duration, measurement thresholding and zero-velocity update approaches were discussed as the most common methodologies used to estimate such measures. …”
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Data-oriented optimized nonuniform quantization for CR-enhanced communication efficiency in federated learning by Shuai Luo, Qiming Wan, Hongrui Wang, Tianchun Xiang, Yang Wang, Xin He, Wei Zhang

“…In this framework, the model transmission phase employs a data-oriented nonuniform quantization technique that dynamically adapts to the statistical gradient distribution. …”
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IoT enabled health monitoring system using rider optimization algorithm and joint process estimation by J. Prabin Jose, G. Jaffino, Mohammed Al Awadh, Koppula Srinivas Rao, Yan Yafang, Krishna Moorthy Sivalingam

“…This work addresses the need for improved performance in health monitoring systems in real time sensor data. In this work, real-time health monitoring data is obtained through the utilization of MAX 30102 and LM35 sensors, which capture the physiological features such as heart rate, blood oxygen levels and body temperature. …”
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Effect of Sputtering Process Parameters on Physical Properties and Electron Emission Level of Titanium Nitride Films by Yang Xia, Dan Wang

“…The microscopic analyses show that the film thicknesses ranged from about 355 to 459 nm. Moreover, with the process parameters used in this work, TiN nanostructures are formed more easily when the nitrogen flow rate is ≤5 sccm, and compact TiN films are formed more easily when the nitrogen flow rate is ≥10 sccm. …”
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Healthcare Economics-Vital Threat Detection System Efficiency: A Business Process Analysis Methodology by Salma Elhag, Amal Alghamdi, Amal Alahmari, Abeer Alharbi

“…This research uses a business process analysis approach to propose and present “SafePulse,” a solution that utilizes a smartwatch to collect vital data such as blood pressure, heart rate, and glucose levels through the Internet of Things (IoT). …”
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Modelling and Optimization of Process Parameters for Strawberry Osmotic Dehydration Using Central Composite Rotatable Design by Bei Liu, Bangzhu Peng

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