Results 11 to 20 of about 2,755,850 (188)

Optimization of BP Neural Network Model for Rockburst Prediction under Multiple Influence Factors

Applied Sciences, 2023
Rockbursts are serious threats to the safe production of mining, resulting in great casualties and property losses. The accurate prediction of rockburst is an important premise that influences the safety and health of miners.
Chao Wang, Jianhui Xu, Yuefeng Li, Tuanhui Wang, Qiwei Wang   +4 more
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Testing of linear models for optimal control of second-order dynamical system based on model-reality differences [PDF]

, 2021
In this paper, the testing of linear models with different parameter values is conducted for solving the optimal control problem of a second-order dynamical system.
Athithan, Balatif, Becerra, Belmiloudi, Bryson, Chong, Kek, Kek, Kek, Kek, Kek, Kek, Kek, Kirk, Lasdon, Lewis, Nwaeze, Raji, Roberts, Roberts, Roberts, Yusof   +21 more
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An optimization model for metabolic pathways [PDF]

, 2009
This article is available open access through the publisher’s website through the link below. Copyright @ The Author 2009.Motivation: Different mathematical methods have emerged in the post-genomic era to determine metabolic pathways.
Arita, Arita, Beasley, Croes, Croes, de Figueiredo, F. J. Planes, Ihmels, J. E. Beasley, Jeong, Keseler, Kharchenko, Klamt, Küffner, Ma, Meléndez-Hevia, Meléndez-Hevia, Meléndez-Hevia, Nelson, Palsson, Planes, Planes, Rahman, Reed, Schuster, Schuster, Schuster, Urbanczik, Wagner   +28 more
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Models of Models: A Translational Route for Cancer Treatment and Drug Development

Frontiers in Oncology, 2017
Every patient and every disease is different. Each patient therefore requires a personalized treatment approach. For technical reasons, a personalized approach is feasible for treatment strategies such as surgery, but not for drug-based therapy or drug ...
Lesley A. Ogilvie, Aleksandra Kovachev, Christoph Wierling, Bodo M. H. Lange, Hans Lehrach, Hans Lehrach   +5 more
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Task-Aware Dynamic Model Optimization for Multi-Task Learning

IEEE Access, 2023
Multi-task learning (MTL) is a field in which a deep neural network simultaneously learns knowledge from multiple tasks. However, achieving resource-efficient MTL remains challenging due to entangled network parameters across tasks and varying task ...
Sujin Choi, Hyundong Jin, Eunwoo Kim
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Jamming Model for the Extremal Optimization Heuristic [PDF]

, 2001
Extremal Optimization, a recently introduced meta-heuristic for hard optimization problems, is analyzed on a simple model of jamming. The model is motivated first by the problem of finding lowest energy configurations for a disordered spin system on a ...
, Banavar J R, Blair D L, Boettcher S, Boettcher S, Boettcher S, Bollobas B, Cheeseman P, Desimone C, Franz S, Garey M R, Holland J, Kirkpatrick S, Mezard M, Michelangelo Grigni, Palmer R G, Rayward-Smith V J, Stefan Boettcher, Tuzel E, Viana L, Wong K Y M   +20 more
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Modeling Short-Term Maximum Individual Exposure from Airborne Hazardous Releases in Urban Environments. Part I: Validation of a Deterministic Model with Field Experimental Data

Toxics, 2015
The release of airborne hazardous substances in the atmosphere has a direct effect on human health as, during the inhalation, an amount of concentration is inserted through the respiratory system into the human body, which can cause serious or even ...
George C. Efthimiou, John G. Bartzis, Michail Palaiokostas   +2 more
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Data-Driven Adaptive Automated Driving Model in Mixed Traffic

IEEE Access, 2023
The interplay between Connected Automated Vehicles (CAVs) and Human-driven Vehicles (HDVs) in mixed traffic environments is often presumed to influence the behavior of the other, and the dynamic impacts of such interplay on traffic flows is a critical ...
Pranav Ramsahye, Susilawati Susilawati, Chee Pin Tan, Md Abdus Samad Kamal   +3 more
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Encrypted traffic classification method based on convolutional neural network

网络与信息安全学报, 2022
Aiming at the problems of low accuracy, weak generality, and easy privacy violation of traditional encrypted network traffic classification methods, an encrypted traffic classification method based on convolutional neural network was proposed, which ...
Rongna XIE, Zhuhong MA, Zongyu LI, Ye TIAN   +3 more
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Study on Safety Analysis Method to Task Process of Civil Aircraft Weather Radar System

Xibei Gongye Daxue Xuebao, 2020
To solve the task-process-safety problem of airborne weather radar system, a set of case-inspired safety analysis method is proposed based on the STAMP(Systems-Theoretic Accident Model and Process).

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