Real-Time On-Device Continual Learning Based on a Combined Nearest Class Mean and Replay Method for Smartphone Gesture Recognition by Heon-Sung Park, Min-Kyung Sung, Dae-Won Kim, Jaesung Lee

“…Leveraging the Nearest Class Mean (NCM) classifier coupled with a replay-based update strategy, our method enables continuous adaptation to new gestures under limited computing and memory resources. …”
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Wheat productivity and nitrogen use efficiency in no-till systems: a comparative analysis of crop-pasture and continuous cropping rotations in Uruguay by Cristina Mori Alvez, Oswaldo Ernst Benech, Pablo González Barrios, Carlos Perdomo Varela

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On Analytical Extension of Generalized Hypergeometric Function ₃<i>F</i>₂ by Roman Dmytryshyn, Volodymyra Oleksyn

“…The method is used, according to which the domains of the analytical continuation of the special functions are the domains of convergence of their expansions into a special family of functions, namely branched continued fractions. …”
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Machine learning analysis of drug solubility via green approach to enhance drug solubility for poor soluble medications in continuous manufacturing by Ahmed A. Lahiq, Abdullah A. Alshehri, Shaker T. Alsharif

“…Abstract The development of continuous pharmaceutical manufacturing is crucial and can be analyzed via advanced computational models. …”
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High-Speed Free-Space Optical Continuous Variable-Quantum Key Distribution Based on Kramers&#x2013;Kronig Scheme by Zhen Qu, Ivan B. Djordjevic

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Novel Continuous-Time Markov Chain-Based Model for Performance Analysis of Hybrid Free Space Optics and Radio Frequency Communications by Vladimir Shakhov, Nikolai Shakhov, Insoo Koo

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Continuous Estimates of Glacier Mass Balance in High Mountain Asia Based on ICESat‐1,2 and GRACE/GRACE Follow‐On Data by Qiuyu Wang, Shuang Yi, Wenke Sun

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Collapse of Pre-COVID-19 Differences in Performance in Online vs. In-Person College Science Classes, and Continued Decline in Student Learning by Gregg R. Davidson, Hong Xiao, Kristin Davidson

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Search for Continuous Gravitational Waves from Unknown Neutron Stars in Binary Systems with Long Orbital Periods in O3 Data by P. B. Covas, M. A. Papa, R. Prix

“…However, all-sky searches for unknown neutron stars in binary systems are very computationally expensive, and this limits their sensitivity and/or breadth. …”
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A Stochastic Continuous-Time Markov Chain Approach for Modeling the Dynamics of Cholera Transmission: Exploring the Probability of Disease Persistence or Extinction by Leul Mekonnen Anteneh, Mahouton Norbert Hounkonnou, Romain Glèlè Kakaï

“…In this paper, a stochastic continuous-time Markov chain (CTMC) model is developed and analyzed to explore the dynamics of cholera. …”
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Resting state BOLD-perfusion coupling patterns using multiband multi-echo pseudo-continuous arterial spin label imaging by Alexander D. Cohen, Stefano Moia, G. Bruce Pike, César Caballero-Gaudes, Yang Wang

“…In this study a multiband, multi-echo (MBME) pseudo-continuous ASL (pCASL) sequence was used to collect simultaneous BOLD and ASL data in a group of healthy control subjects, and the patterns of BOLD-CBF coupling were evaluated. …”
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Methodic for evaluating the performance of a continuous welded track according to the criterion of compliance of the actual rail fastening temperature with the standardized value by G. M. Volokhov, S. V. Chunin, A. V. Ushanov

“…The calculation of the actual temperature of rail fastening is given on the example of a section of a continuous-welded track of the Ozerskaya branch of the Moscow railway. …”
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Stress control method for concrete pouring construction of continuous CFST tied arch bridge: Calculation method and actual bridge case by Zengwu Liu, Jianting Zhou, Jingzhou Xin, Wenming Su, Yanchen Teng

“…This method can significantly reduce the blind trial computations in the finite element method and guaranteeing the safety of the bridge throughout the construction process.…”
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Enhancing female teachers’ engagement, Self-efficacy, and performance in mathematics and science through continuous professional development training program in Rwanda by Pheneas Nkundabakura, Theophile Nsengimana, Aloys Iyamuremye, Celine Byukusenge, Eugenie Uwamariya, Victor Dusabumuremyi

“…This study aimed at investigating the contribution of Continuous Professional Development (CPD) program on female teachers’ self-efficacy, and content knowledge in Mathematics and Science. …”
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Soret and dufour impacts on radiative power-law fluid flow via continuously stretchable surface with varying viscosity and thermal conductivity by T. S. Khaleque, A. Hossain, M. D. Shamshuddin, Mohammad Ferdows, S. O. Salawu, Shuyu Sun

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GLIDE: A Game Theory and Data-Driven Mimicking Linkage Intrusion Detection for Edge Computing Networks by Qianmu Li, Jun Hou, Shunmei Meng, Huaqiu Long

“…The real-time and high-continuity requirements of the edge computing network gain more and more attention because of its active defence problem, that is, a data-driven complex problem. …”
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A Fog Computing-Based Cost-Effective Smart Health Monitoring Device for Infectious Disease Applications by Saranya Govindakumar, Vijayalakshmi Sankaran, Paramasivam Alagumariappan, Bhaskar Kosuru Bojji Raju, Daniel Ford

“…The COVID-19 epidemic has raised awareness of exactly how crucial it is to continuously observe issues and diagnose respiratory problems early. …”
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A Framework for Risk-Energy Aware Service-Level Agreement Provisioning (RESP) for Computing the Quickest Path by Ashutosh Sharma, Rajiv Kumar

“…The consideration of these constraints helps to propose a novel system model which computes the path to strengthen the continuity and criticality of the data transmission. …”
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Computing Hitting Probabilities of Markov Chains: Structural Results with regard to the Solution Space of the Corresponding System of Equations by Hendrik Baumann, Thomas Hanschke

“…To extract the desired solution, an efficient and numerically stable generalized-continued-fraction-based algorithm is developed.…”
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A Hybrid Task Scheduling Technique in Fog Computing Using Fuzzy Logic and Deep Reinforcement Learning by Prashanth Choppara, S. Sudheer Mangalampalli

“…This work presents an innovative method for scheduling tasks in a fog computing environments by combining the fuzzy logic with deep reinforcement learning. …”
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