Enhancing offloading with cybersecurity in edge computing for digital twin‐driven patient monitoring by Ahmed K. Jameil, Hamed Al‐Raweshidy

“…In this study, a new method was introduced, combines edge computing with sophisticated cybersecurity solutions. …”
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Advancing civil engineering: The transformative impact of neuromorphic computing on infrastructure resilience and sustainability by Ali Akbar Firoozi, Ali Asghar Firoozi, Yasser Alashker, Safeer Ahmad

“…This paper examines the transformative impact of neuromorphic computing on enhancing the resilience of infrastructure systems and advancing sustainable engineering practices. …”
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An Evaluation of the Security of Bare Machine Computing (BMC) Systems against Cybersecurity Attacks by Fahad Alotaibi, Ramesh K. Karne, Alexander L. Wijesinha, Nirmala Soundararajan, Abhishek Rangi

“…Cyberattacks on systems are commonplace, and defense mechanisms are continually updated to prevent them. Based on a literature review of cybersecurity vulnerabilities, attacks, and preventive measures, we find that cybersecurity problems are rooted in computer system architectures, operating systems, network protocols, design options, heterogeneity, complexity, evolution, open systems, open-source software vulnerabilities, user convenience, ease of Internet access, global users, advertisements, business needs, and the global market. …”
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IoT‐Based Elderly Health Monitoring System Using Firebase Cloud Computing by Adhan Efendi, Muhammad Imam Ammarullah, Indra Griha Tofik Isa, Meli Puspita Sari, Jasmine Nurul Izza, Yohanes Sinung Nugroho, Hamid Nasrullah, Denny Alfian

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A Machine Learning Approach to Produce a Continuous Solar‐Induced Chlorophyll Fluorescence Over the Arctic Ocean by Nima Madani, Nicholas C. Parazoo, Manfredi Manizza, Abhishek Chatterjee, Dustin Carroll, Dimitris Menemenlis, Vincent Le Fouest, Atsushi Matsuoka, Kelly M. Luis, Camila Serra‐Pompei, Charles E. Miller

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Spatial Prediction of Soil Continuous and Categorical Properties Using Deep Learning Approaches for Tamil Nadu, India by Thamizh Vendan Tarun Kshatriya, Ramalingam Kumaraperumal, Sellaperumal Pazhanivelan, Nivas Raj Moorthi, Dhanaraju Muthumanickam, Kaliaperumal Ragunath, Jagadeeswaran Ramasamy

“…In this study, soil continuous (pH and OC) and categorical variables (order and suborder) were predicted using deep learning–multi layer perceptron (DL-MLP) and one-dimensional convolutional neural networks (1D-CNN) for the entire state of Tamil Nadu, India. …”
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SIMULATING MACHINING OF CONTINUOUSLY VARIABLE TRANSMISSION PULLEYS IN COMPLEX BLADE TOOL TRAJECTORY IN ANSYS SOFTWARE PACKAGE by A.A. Generalova, A.A. Nikulin, D.S. Bychkov

Structural optimization of stiffened panel structures with continuous and discrete design variables using deep reinforcement learning by Ryota NONAMI, Mitsuru KITAMURA

“…Consequently, heuristic approaches such as Genetic Algorithms (GA) are often employed; however, GA typically imposes a high computational burden in large-scale optimization problems. …”
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Sweat-Powered, mm-Scale, Continuous-Time Sensor Systems With Bluetooth Low Energy (BLE) Backscatter by Jordan Besnoff, Hongtao Zhong, Shian Su, Rajaram Kaveti, Nitin Maiya, Supriya Krishna, Nate T. Garland, Amay J. Bandodkar, David S. Ricketts

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Continuous-Control-Set Model Predictive Control Strategy for MMC-UPQC Under Non-Ideal Conditions by Lianghua Chen, Jianping Zhou, Jiayu Zhai, Lisheng Yang, Xudong Qian, Zhiyong Tao

“…Unlike FCS-MPC, the computational complexity of CCS-MPC combined with PSC-PWM does not depend on the number of submodules, which significantly reduces the overall computational burden. …”
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The mathematical model and program for Calculation of heat exchange at continuous casting of a strip in the “wheel-belt” mould by E. F. Baranovski, V. A. Pumpur

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Comparison of Continuous-Time Partial Markov Chain Construction by Heuristic Algorithms for Purpose of Approximate Transient Analysis by Eimutis Valakevičius, Mindaugas Bražėnas, Tomas Ruzgas

“…We investigate the construction of a partial absorbing continuous-time Markov chain (CTMC) using a heuristic algorithm aimed at approximate transient analysis. …”
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The Main Directions of Improvement of the Continuous Medical Education System for Healthcare Administrators Aimed at New Quality of Healthcare by A. N. Gurov

“…The continuous medical education system forfeit or healthcare administrators existing in the Russian Federations being developed in the Moscow Region by the Postgraduate Training Faculty of Moscow Regional Research and Clinical Institute. …”
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Four-Dimensionally Multiplexed Eight-State Continuous-Variable Quantum Key Distribution Over Turbulent Channels by Zhen Qu, Ivan B. Djordjevic

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A Robust Hermitian and Skew-Hermitian Based Multiplicative Splitting Iterative Method for the Continuous Sylvester Equation by Mohammad Khorsand Zak, Abbas Abbaszadeh Shahri

“…Moreover, by numerical computation, we show that multiplicative splitting can be used as a splitting preconditioner and induce accurate, robust and effective preconditioned Krylov subspace iteration methods for solving the continuous Sylvester equation.…”
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Convergence of Limiting Cases of Continuous-Time, Discrete-Space Jump Processes to Diffusion Processes for Bayesian Inference by Aaron Lanterman

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Mathematical analysis of the effects of valvular regurgitation on the pumping efficacy of continuous and pulsatile left ventricular assist devices by Yoo Seok Kim, Eun-Hye Kim, Hyeong-Gyun Kim, Eun Bo Shim, Kwang-Soup Song, Ki Moo Lim

“…The purpose of this study is to analyze the effects of valve regurgitation on the pumping efficacy of continuous and pulsatile LVADs with a computational method. …”
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Modernizing the Design Process for US Organ Allocation Policy: Toward a Continuous Distribution Policy for Kidneys by Elijah Pivo, PhD(c), James Alcorn, JD, Dimitris Bertsimas, PhD, Sarah E. Booker, MPH, Keighly Bradbrook, PhD, Thomas G. Dolan, MS, Lindsay V. Larkin, BA, Kayla R. Temple, BA, Nikolaos Trichakis, PhD

“…These techniques were applied to the development of new continuous distribution allocation policies for kidneys. …”
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Adaptive continuous-discrete variables optimization for active learning with extremely sparse data in optical material design by Serang Jung, Eungkyu Lee

“…It identified an optimal five-layer design with 0.47% average reflectance, requiring only ∼10% of the training data of the fixed scheme and 0.002% of total possible states, reducing computational costs and enhancing practical applicability. …”
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Data-driven continuous-time Hammerstein modeling with missing data using improved Archimedes optimization algorithm by Muhammad Shafiqul Islam, Mohd Ashraf Ahmad

“…This research introduces the improved Archimedes optimization algorithm (IAOA) for data-driven modeling of continuous-time Hammerstein models with missing data. …”
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