Tensor decomposition and parallelization of Markov Decision Processes by Smart, David P. (David Paul)

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Response of Venice storm gates to incident waves by Adamo, Andrea, 1975-

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Computational capabilities of a multicellular reservoir computing system by Vladimir Nikolić, Moriah Echlin, Boris Aguilar, Ilya Shmulevich

“…We also identified a number of biological properties that can affect the computational performance of these processing systems.…”
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A parallel ADMM-based convex clustering method by Lidija Fodor, Dušan Jakovetić, Danijela Boberić Krstićev, Srđan Škrbić

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The influenza pandemic preparedness planning tool <it>InfluSim</it> by Duerr Hans-Peter, Schwehm Markus, Eichner Martin, Brockmann Stefan O

“…It can reproduce the infection dynamics of pandemic influenza like complex computer simulations while offering at the same time reproducibility, higher computational performance and better operability.</p>…”
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Composing aleatoric music through interaction: a composition environment based on interaction with mobile technologies for public spaces by Mauro Amazonas, Thais Castro, João Gustavo Kienen, Rosiane Freitas, Bruno Gadelha

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Parallel multigrid for large-scale least squares sensitivity by Gomez, Steven A

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Intelligent Computing and Communication for the Internet of Vehicles / by Li, Mushu, author 654027, Gao, Jie, 1985-, author 654028, Shen, X. (Xuemin), 1958-, author 219961, Zhao, Lian, author 654029

“…This book investigates intelligent network resource management for IoV, with the objective of maximizing the communication and computing performance of vehicle users. Focusing on two representative use cases in IoV, i.e., safety message broadcast and autonomous driving, the authors propose link-layer protocol design and application-layer computing task scheduling to achieve the objective given the unique characteristics and requirements of IoV. …”

Water Quality Prediction Based on Hybrid Deep Learning Algorithm by Bhagavathi Perumal, Niveditha Rajarethinam, Anusuya Devi Velusamy, Venkatesa Prabhu Sundramurthy

“…In comparison to the artificial neural network (ANN), back propagation neural network (BPNN), and recurrent neural network (RNN) models, the created LSTM–GWO–FSO model was shown to have greater computational performance (RNN). LSTM–GWO–FSO outperformed ANN, BPNN, and RNN regarding R2 of 3.1%–38.4% improvements. …”
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Congestion Management Using an Optimized Deep Convolution Neural Network in Deregulated Environment by Dhanadeepika B., Vanithasri M., Chakravarthi M.

“…The most important results for the test system indicating convergence profile, congestion cost, and change in real-power and voltage magnitude are obtained by the simulation in MATLAB, and on the basis of the obtained simulation outcomes, it is evident that the proposed Improved Lion Algorithm optimized Deep Convolution Neural Network displays phenomenal computation performance in minimizing congestion losses at minimum congestion costs. …”
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Unboxing Tree ensembles for interpretability: A hierarchical visualization tool and a multivariate optimal re-built tree by Giulia Di Teodoro, Marta Monaci, Laura Palagi

“…The natural formulation has been strengthened to improve the computational performance of mixed-integer software. Computational experience is carried out on benchmark datasets from the UCI repository using a state-of-the-art off-the-shelf solver. …”
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MultiResUNet3+: A Full-Scale Connected Multi-Residual UNet Model to Denoise Electrooculogram and Electromyogram Artifacts from Corrupted Electroencephalogram Signals by Md Shafayet Hossain, Sakib Mahmud, Amith Khandakar, Nasser Al-Emadi, Farhana Ahmed Chowdhury, Zaid Bin Mahbub, Mamun Bin Ibne Reaz, Muhammad E. H. Chowdhury

“…In most situations, our proposed model performed better than the other four 1D-CNN models, evident by the computed performance evaluation metrics.…”
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Design and Implementation of 12-Bit Arithmetic Logic Unit with 8 Operation Codes to Field Programmable Gate Array by Arwin Datumaya Wahyudi Sumari, Sukriya Hijriana, Denny Dermawan

“…The multiplication operation was tested by performing the computation to provided datasets to obtain the distance travelled by ten military aircraft based on their maximum speed and air travel duration to ensure its performance. The computation performance comparison with an 8-bit ALU with four opcodes was also done. …”
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Modeling the Bulk Port Belt-Conveyor Routing Problem Considering Interactions With Storage Spaces and Loading Operations by Sara Mallah, Afaf Aloullal, Oulaid Kamach, Malek Masmoudi, Khalid Kouiss, Ahmed Chebak

“…We propose a second model with pre-processing and reduction techniques to enhance computational performance. The two models are tested on 126 generated instances with up to 1590 routes (the real matrix of routes of a real industrial application). …”
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Determining the Oxidation Stability of Electrolytes for Lithium-Ion Batteries Using Quantum Chemistry and Molecular Dynamics by Elizaveta Y. Evshchik, Sophia S. Borisevich, Margarita G. Ilyina, Edward M. Khamitov, Alexander V. Chernyak, Tatiana A. Pugacheva, Valery G. Kolmakov, Olga V. Bushkova, Yuri A. Dobrovolsky

“…Due to this, it is possible to increase the speed of calculations and reduce the power requirements of the computer performing the calculations. The theoretical calculations included a set of approaches based on the methods of classical molecular mechanics and quantum chemistry. …”
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AI-Driven Performance Modeling for AI Inference Workloads by Max Sponner, Bernd Waschneck, Akash Kumar

“…Additionally, these new targets usually come with drastically reduced computation performance and memory sizes compared to the traditionally used architectures—and put the key optimization focus on the efficiency as they often depend on batteries. …”
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Pepper leaf disease recognition based on enhanced lightweight convolutional neural networks by Min Dai, Wenjing Sun, Lixing Wang, Md Mehedi Hassan Dorjoy, Shanwen Zhang, Hong Miao, Hong Miao, Liangxiu Han, Xin Zhang, Mingyou Wang

“…However, most existing CNN-based pepper leaf disease detection models are suboptimal in terms of accuracy and computing performance. In particular, it is challenging to apply CNNs on embedded portable devices due to a large amount of computation and memory consumption for leaf disease recognition in large fields. …”
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A Deep Learning-Based Camera Approach for Vital Sign Monitoring Using Thermography Images for ICU Patients by Simon Lyra, Leon Mayer, Liyang Ou, David Chen, Paddy Timms, Andrew Tay, Peter Y. Chan, Bergita Ganse, Steffen Leonhardt, Christoph Hoog Antink

“…We observed a computational performance of 47 fps on an NVIDIA Jetson Xavier NX module for YOLOv4-Tiny, which proves real-time capability on an embedded GPU system. …”
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An Efficient and Robust ILU(k) Preconditioner for Steady-State Neutron Diffusion Problem Based on MOOSE by Yingjie Wu, Han Zhang, Lixun Liu, Huanran Tang, Qinrong Dou, Jiong Guo, Fu Li

“…Furthermore, the reordering algorithm is employed for the ILU(k) to reduce the additional non-zero elements and pursue robust computational performance. A 2D LRA neutron steady-state benchmark problem is used to evaluate the performance of the proposed preconditioning technique, and a steady-state neutron diffusion k-eigenvalue problem with thermal-hydraulic feedback is also utilized as a supplement. …”
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Adaptive Prognostic Malfunction Based Processor for Autonomous Landing Guidance Assistance System Using FPGA by Hossam O. Ahmed, David Wyatt

“…In addition, the proposed ALGAS4 system could maintain a maximum computing performance of approximately 74.85 GOPS while using just 166.56 mW for dynamic and I/O power dissipation.…”
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