Accuracy Analysis on Design of Stochastic Computing in Arithmetic Components and Combinational Circuit by P. Ashok, B. Bala Tripura Sundari

“…Stochastic circuits are used in applications that require low area and power consumption. The computing performed using these circuits is referred to as Stochastic computing (SC). …”
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A New Scheme of Adaptive Covariance Inflation for Ensemble Filtering Data Assimilation by Ang Su, Liang Zhang, Xuefeng Zhang, Shaoqing Zhang, Zhao Liu, Caili Liu, Anmin Zhang

“…Due to better computing performance and relaxed demand for computational resources, the new scheme has more potential applications in more comprehensive models for prediction initialization and reanalysis. …”
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Wind farm array cable layout optimisation for complex offshore sites—A decomposition based heuristic approach by Peter Taylor, Hong Yue, David Campos‐Gaona, Olimpo Anaya‐Lara, Chunjiang Jia

“…This study proposes a novel optimisation algorithm based on the ant‐colony heuristic by introducing decomposition techniques informed by the problem formulation to improve the computational performance. The new algorithm can reach near‐optimal solutions and requires little computational resource. …”
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Data Security and Preservation Mechanisms for Industrial Control Network Using IOTA by Iuon-Chang Lin, Chin-Chen Chang, Yu-Sung Chang

“…In the edge devices of WSNs, because of the insufficient memory and computing performance of many devices, it is impossible to perform proof of work calculations. …”
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In-Sensor Visual Perception and Inference by Yanan Liu, Rui Fan, Jianglong Guo, Hepeng Ni, Muhammad Usman Maqboo Bhutta

“…In contrast, in-sensor visual computing performs signal processing at the pixel level using the collected analog signals directly, without sending data to other processors. …”
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Computational Aerodynamic Optimization of Wind-Sensitive Irregular Tall Buildings by Fadi Alkhatib, Narimah Kasim, Wan Inn Goh, Nasir Shafiq, Mugahed Amran, Evgenii Vladimirovich Kotov, Mohammed Abdo Albaom

“…This paper presents a computational performance-based aerodynamic optimization with minor imposed modifications that have little to no impact on architectural and structural design intent. …”
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Methodology for the Surveillance the Voltage Supply in Public Buildings Using the ITIC Curve and <i>Python</i> Programming by Javier Fernández-Morales, Juan-José González-de-la-Rosa, José-María Sierra-Fernández, Olivia Florencias-Oliveros, Paula Remigio-Carmona, Manuel-Jesús Espinosa-Gavira, Agustín Agüera-Pérez, José-Carlos Palomares-Salas

“…Compared to LabVIEW, which might have been the most logical alternative, being the acquisition hardware from the same company (National Instruments), <i>Python</i> has a higher computational performance and is also free of charge, unlike LabVIEW. …”
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Fast Adaptation of Manipulator Trajectories to Task Perturbation by Differentiating through the Optimal Solution by Shashank Srikanth, Mithun Babu, Houman Masnavi, Arun Kumar Singh, Karl Kruusamäe, Krishnan Madhava Krishna

“…Existing works use the so-called warm-starting of trajectory optimization to improve computational performance. We present a fundamentally different approach that relies on deriving analytical gradients of the optimal solution with respect to the task constraint parameters. …”
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A Novel Visual-Range Sea Image Dataset for Sea Horizon Line Detection in Changing Maritime Scenes by Manzoor Ahmed Hashmani, Muhammad Umair

“…Sea horizon line (SHL) detection plays a pivotal role in the computational performance improvement of computer applications for the maritime environment by dividing the image into sea and sky regions. …”
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Neuromorphic Photonics Based on Phase Change Materials by Tiantian Li, Yijie Li, Yuteng Wang, Yuxin Liu, Yumeng Liu, Zhan Wang, Ruixia Miao, Dongdong Han, Zhanqiang Hui, Wei Li

“…By investigating the integration of different PCMs with silicon-based optoelectronics, this review aims to identify potential breakthroughs in computational performance and scalability of photonic spiking neural networks. …”
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System on Chip (SoC) for Invisible Electrocardiography (ECG) Biometrics by Francisco de Melo, Horácio C. Neto, Hugo Plácido da Silva

“…However, to date little attention has been given to the computational performance, in particular targeting the deployment with edge processing in limited resource devices. …”
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Quantum JIDOKA. Integration of Quantum Simulation on a CNC Machine for In–Process Control Visualization by Javier Villalba-Diez, Miguel Gutierrez, Mercedes Grijalvo Martín, Tomas Sterkenburgh, Juan Carlos Losada, Rosa María Benito

“…This quantum digital twin simulates the intricate sensor network within a machine and permits, due to its high computational performance, to apply JIDOKA in real time within manufacturing processes.…”
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A Decision-Making Tool for Algorithm Selection Based on a Fuzzy TOPSIS Approach to Solve Replenishment, Production and Distribution Planning Problems by Eduardo Guzman, Beatriz Andres, Raul Poler

“…To evaluate a solution method, 13 criteria were defined that all address several important dimensions when solving a planning problem, such as the computational difficulty, scheduling knowledge, mathematical knowledge, algorithm knowledge, mathematical modeling software knowledge and expected computational performance of the solution methods. An illustrative example is provided to demonstrate how planners apply the approach to select a solution method. …”
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Collective hybrid intelligence: towards a conceptual framework by Morteza Moradi, Mohammad Moradi, Farhad Bayat, Adel Nadjaran Toosi

“…Originality/value - The major contribution of this work is introducing the conceptual foundations to combine and integrate collective intelligence of humans and machines to achieve higher efficiency and (computing) performance. To the best of the authors’ knowledge, this the first study in which such a blessing integration is considered. …”
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Thermodynamic Interpretation of a Machine-Learning-Based Response Surface Model and Its Application to Pharmacodynamic Synergy between Propofol and Opioids by Hsin-Yi Wang, Jing-Yang Liou, Chen Lin, Chien-Kun Ting, Wen-Kuei Chang, Men-Tzung Lo, Chien-Chang Chen

“…It is worth emphasizing that the proposed MLRSM exhibits a similar mathematical form to the conventional Greco model, but with better computational performance. Furthermore, the MLRSM has a theoretical foundation and flexibility for arbitrary numbers of drug combinations. …”
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Accelerating Faceting Wide-Field Imaging Algorithm with FPGA for SKA Radio Telescope as a Vast Sensor Array by Yuefeng Song, Yongxin Zhu, Tianhao Nan, Junjie Hou, Sen Du, Shijin Song

“…However, the traditional processor of cloud computing, even if the most sophisticated supercomputer is used, cannot meet the extremely high computation performance requirement. In this paper, we propose the design and implementation of high-efficiency FPGA (Field Programmable Gate Array) -based hardware acceleration of the key algorithm, faceting in SKA by focusing on phase rotation and gridding, which are the most time-consuming phases in the faceting algorithm. …”
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PH‐RLS: A parallel hybrid recursive least square algorithm for self‐mixing interferometric laser sensor by Zohaib A Khan, Tassadaq Hussain, Usman Zabit, Muhammad Usman, Eduard Ayguade

“…Therefore, the existing conventional RLS C program is parallelized by using hybrid OpenACe C/MPI (Open Accelerators/Message Passing Interface) parallel programming models and tested on Barcelona Supercomputing Center CTE‐Power9 Supercomputer. The computational performance of the proposed PH‐RLS algorithm is compared with the existing conventional RLS code by executing on multi distributed processors and uni‐core processor architecture, respectively. …”
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DQN Approach for Adaptive Self-Healing of VNFs in Cloud-Native Network by Arunkumar Arulappan, Aniket Mahanti, Kalpdrum Passi, Thiruvenkadam Srinivasan, Ranesh Naha, Gunasekaran Raja

“…The outcome of adaptive self-healing of the VNFs enhances the computational performance by 27&#x0025; compared to other state-of-the-art algorithms.…”
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Accelerating AI performance with the incorporation of TVM and MediaTek NeuroPilot by Chao-Lin Lee, Chun-Ping Chung, Sheng-Yuan Cheng, Jenq-Kuen Lee, Robert Lai

“…Two widely adopted strategies for accelerating computational performance are quantisation and the utilisation of AI hardware accelerators. …”
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A Smartphone-Based Application for Scale Pest Detection Using Multiple-Object Detection Methods by Jian-Wen Chen, Wan-Ju Lin, Hui-Jun Cheng, Che-Lun Hung, Chun-Yuan Lin, Shu-Pei Chen

“…Meanwhile, the computational performance of YOLO v4 has indicated that it is suitable for real-time application. …”
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