全部
期刊
图书
会议
学位论文
当前检索条件:
关键词: Optimization>
已选文献 0 清除 导出文献
主题排序 时间排序
255182 结果
  • 8507
每页显示  
Journal
Colombi Bruna Lyra;Martins Quesli;Imme Cintia Kopsch;Da Silva Diofer Barboza;Valle José Alexandre Borges;Andreaus Jürgen;Arias Manuel José Lis;Valle Rita De Cássia Siqueira Curto;
The Journal of The Textile InstituteVolume 113, Issue 5, 2025, PP 857-868
摘要: Pectinases can be used to remove impurities and hydrophobic material from cotton fibers by the degradation of pectic substances. The biochemical characterization and the evaluation of process parameters that influence the enzyme’s activity are mandatory to optimize the industrial application. In the present study, a factorial experimental design was conducted to evaluate the activity of a commercial pectate lyase at different reaction conditions of temperature, pH, and nonionic surfactant concen关键词: Pectinase;enzyme activity;process optimization;bioscouring;cotton fabric
收藏原文链接
Journal
摘要: A crucial part of any recommendation system for manufactured goods is the method used to evaluate the similarity of products. However, despite being central to the performance of many online retailers, current ways of evaluating product similarity are inconsistent with several characteristics of human perception and consequently often generate obvious errors when applied in practice. This paper proposes a new approach that uses the results of a perceptual evaluation of respondents to determine t关键词: computational foundations for engineering optimization;computer-aided design;computer-aided engineering;knowledge engineering
收藏原文链接
Journal
摘要: Important for many science and engineering fields, meaningful nonlinear models result from fitting such models to data by estimating the value of each parameter in the model. Since parameters in nonlinear models often characterize a substance or a system (e.g., mass diffusivity), it is critical to find the optimal parameter estimators that minimize or maximize a chosen objective function. In practice, iterative local methods (e.g., Levenberg–Marquardt method) and heuristic methods (e.g., genetic关键词: parameter estimation;least squares;curve fitting;global optimum;local optimum;outlier detection;nonlinear regression;inverse problem;Newton’s law of cooling;Michaelis–Menten model;Lineweaver–Burk plot;big data and analytics;computational foundations for engineering optimization;data-driven engineering;inverse methods for engineering applications;machine learning for engineering applications
收藏原文链接
Journal
摘要: Those methods that are applied to evaluate car sound quality by means of the scoring mode cannot guarantee the universality of results. Some studies have shown that the sound-induced change of electroencephalograph (EEG) can reflect human cerebral activities and mental perceptions. Thus, EEG is introduced here to evaluate the car sound quality, and a new method is put forward to map the powerful sound quality on account of EEG-based physiological acoustic index (EPAI). Twelve types of EEG featur关键词: car sound evaluation;powerful sound quality;EEG;regression model;physiological acoustic index;big data and analytics;human computer interfaces/interactions;machine learning for engineering applications;multidisciplinary optimization
收藏原文链接
Journal
摘要: The tape carrier packaging machine with multiple sucking discs is designed for modern, high-speed packaging production line, which is an important part of the electronic manufacturing process. The efficiency of the part-picking can directly affect the efficiency of the packaging production line. The problem involves at least three coupled sub-problems: the number of picking rounds, the matching relationship between the parts and sucking discs, and the picking order. Because the actual industrial关键词: ant colony optimization;co-evolution mechanism;part-picking;computational foundations for engineering optimization
收藏原文链接
Journal
摘要: The sulfur-containing odor emitted from sludge composting could be controlled by sulfide oxidizing bacteria, yet mesophilic strains show inactivation during the thermophilic stage of composting. Aimed to investigate and characterize the thermotolerant bacterium that could oxidize sulfide into sulfate, a heterotrophic strain was isolated from sewage sludge composting and identified as Paenibacillus naphthalenovorans LYH-3. The effects of various environmental factors on sulfide oxidation capaciti关键词: Sulfide oxidizing bacteria;Paenibacillus naphthalenovorans;Thermophilic strains;Optimization;Growth kinetics;Bacterial isolation
收藏原文链接
Journal
摘要: We propose a nested weighted Tchebycheff Multi-objective Bayesian optimization (WTB MOBO) framework where we built a regression model selection procedure from the ensemble of models, toward better estimation of the uncertain parameters (utopia) of the weighted Tchebycheff expensive black-box multi-objective function. In our previous work, a weighted Tchebycheff MOBO approach has been demonstrated which attempts to estimate the model parameters (utopia) in formulating the acquisition function of 关键词: multi-objective Bayesian optimization;nested design;weighted techbycheff;surrogate modeling;model parameter estimation;machine learning for engineering applications
收藏原文链接
Journal
摘要: This study presents a standalone photovoltaic (PV)/battery energy storage (BES)-powered water quality monitoring system based on the narrowband internet of things (NB-IoT) for aquaculture. (1) A PV/BES system was used as the main energy system of the monitoring system. The PV and BES capacities were optimized to provide uninterrupted electrical energy to the monitoring system, taking into account two techno-economic criteria: a maximum reliability index (RI) and a minimum levelized cost of energ关键词: Aquaculture;Battery energy storage;Internet of things;Photovoltaic;Techno-economic optimization;Water quality monitoring
收藏原文链接
Journal
摘要: Circuit polynomials are polynomials with properties that make it easy to compute sharp and certifiable global lower bounds for them. Consequently, one may use them to find certifiable lower bounds for any polynomial by writing it as a sum of circuit polynomials with known lower bounds. Recent work has shown that sums of nonnegative circuit polynomials (or SONC polynomials for short) can be used to compute global lower bounds (called SONC bounds) for polynomials in this manner very efficiently bo关键词: 14Q30;90C23;49M29;90C25;Polynomial optimization;Nonnegativity certificates;Circuit polynomials;Convex optimization;Duality;Power cone
收藏原文链接
Journal
摘要: Facial Expression Recognition (FER) has been an important field of research for several decades. Extraction of emotional characteristics is crucial to FERs, but is complex to process as they have significant intra-class variances. Facial characteristics have not been completely explored in static pictures. Previous studies used Convolution Neural Networks (CNNs) based on transfer learning and hyperparameter optimizations for static facial emotional recognitions. Particle Swarm Optimizations (PSO关键词: Facial expression recognition; Gaussian filter; hyperparameter optimization; improved weight-based whale optimization algorithm; deep learning (DL)
收藏原文链接
Journal
摘要: In this paper, we consider the problem of minimizing the total tardiness in a deterministic two-machine permutation flowshop scheduling problem subject to release dates of jobs and known unavailability periods of machines. The theoretical and practical importance of minimizing tardiness in flowshop scheduling environment has motivated us to investigate and solve this interested two-machine scheduling problem. Methods that solve this important optimality criterion in flowshop environment are main关键词: Optimization; machine scheduling; flowshop; evolutionary algorithms
收藏原文链接
Journal
摘要: About 170 nations have been affected by the COvid VIrus Disease-19 (COVID-19) epidemic. On governing bodies across the globe, a lot of stress is created by COVID-19 as there is a continuous rise in patient count testing positive, and they feel challenging to tackle this situation. Most researchers concentrate on COVID-19 data analysis using the machine learning paradigm in these situations. In the previous works, Long Short-Term Memory (LSTM) was used to predict future COVID-19 cases. According 关键词: Binomial distribution; min-max normalization; Cat Swarm Optimization (CSO); COVID-19 forecasting
收藏原文链接
Journal
摘要: Fusing medical images is a topic of interest in processing medical images. This is achieved to through fusing information from multimodality images for the purpose of increasing the clinical diagnosis accuracy. This fusion aims to improve the image quality and preserve the specific features. The methods of medical image fusion generally use knowledge in many different fields such as clinical medicine, computer vision, digital imaging, machine learning, pattern recognition to fuse different medic关键词: Medical image fusion; wavelet; entropy optimization; PSO; Sobel operator
收藏原文链接
Journal
摘要: On grounds of the advent of real-time applications, like autonomous driving, visual surveillance, and sports analysis, there is an augmenting focus of attention towards Multiple-Object Tracking (MOT). The tracking-by-detection paradigm, a commonly utilized approach, connects the existing recognition hypotheses to the formerly assessed object trajectories by comparing the similarities of the appearance or the motion between them. For an efficient detection and tracking of the numerous objects in 关键词: Multi-object detection; object tracking; feature extraction; morlet wavelet mutation (MWM); ant lion optimization (ALO); background subtraction
收藏原文链接
Journal
摘要: Wireless Sensor Network (WSN) technology is the real-time application that is growing rapidly as the result of smart environments. Battery power is one of the most significant resources in WSN. For enhancing a power factor, the clustering techniques are used. During the forward of data in WSN, more power is consumed. In the existing system, it works with Load Balanced Clustering Method (LBCM) and provides the lifespan of the network with scalability and reliability. In the existing system, it do关键词: Energy efficiency; sensor nodes; chicken swarm optimization; load balanced clustering method; wireless sensor network; cluster heads; load-balancing; fitness function
收藏原文链接
Journal
摘要: The growth of Wireless Sensor Networks (WSNs) has revolutionized the field of technology and it is used in different application frameworks. Unmanned edges and other critical locations can be monitored using the navigation sensor node. The WSN required low energy consumption to provide a high network and guarantee the ultimate goal. The main objective of this work is to propose hybrid energy optimization in local aware environments. The hybrid proposed work consists of clustering, optimization, 关键词: Wireless sensor networks (WSNs); optimization algorithm; routing algorithm; military applications
收藏原文链接
Journal
摘要: Crop yield has been predicted using environmental, land, water, and crop characteristics in a prospective research design. When it comes to predicting crop production, there are a number of factors to consider, including weather conditions, soil qualities, water levels and the location of the farm. A broad variety of algorithms based on deep learning are used to extract useful crops for forecasting. The combination of data mining and deep learning creates a whole crop yield prediction system tha关键词: Data mining; deep learning; crop production; tweak chick swarm optimization algorithm; discrete deep belief network with VGG Net classifier
收藏原文链接
Journal
摘要: A recommender system is an approach performed by e-commerce for increasing smooth users’ experience. Sequential pattern mining is a technique of data mining used to identify the co-occurrence relationships by taking into account the order of transactions. This work will present the implementation of sequence pattern mining for recommender systems within the domain of e-commerce. This work will execute the Systolic tree algorithm for mining the frequent patterns to yield feasible rules for the re关键词: Recommender systems; hybrid recommender systems; frequent pattern mining; collaborative filtering; systolic tree; river formation dynamics; particle swarm optimization
收藏原文链接
Journal
G. Rajeshkumar;M. Vinoth Kumar;K. Sailaja Kumar;Surbhi Bhatia;Arwa Mashat;Pankaj Dadheech;
COMPUTER SYSTEMS SCIENCE AND ENGINEERINGVolume 44, Issue 2, 2023, PP 1187-1200
摘要: A Mobile Ad hoc Network (MANET) is a group of low-power consumption of wireless mobile nodes that configure a wireless network without the assistance of any existing infrastructure/centralized organization. The primary aim of MANETs is to extend flexibility into the self-directed, mobile, and wireless domain, in which a cluster of autonomous nodes forms a MANET routing system. An Intrusion Detection System (IDS) is a tool that examines a network for malicious behavior/policy violations. A networ关键词: MANET; intrusion detection system; cluster; kalman filter; dynamic source routing; multi-objective particle swarm optimization; packet delivery ratio
收藏原文链接
Journal
摘要: Weed is a plant that grows along with nearly all field crops, including rice, wheat, cotton, millets and sugar cane, affecting crop yield and quality. Classification and accurate identification of all types of weeds is a challenging task for farmers in earlier stage of crop growth because of similarity. To address this issue, an efficient weed classification model is proposed with the Deep Convolutional Neural Network (CNN) that implements automatic feature extraction and performs complex featur关键词: Deep learning; convolutional neural network; weed classification; transfer learning; particle swarm optimization; evolutionary computing
收藏原文链接
Journal
摘要: The optimization field has grown tremendously, and new optimization techniques are developed based on statistics and evolutionary procedures. Therefore, it is necessary to identify a suitable optimization technique for a particular application. In this work, Black Widow Optimization (BWO) algorithm is introduced to minimize the cost functions in order to optimize the Multi-Area Economic Dispatch (MAED). The BWO is implemented for two different-scale test systems, comprising 16 and 40 units with 关键词: Black widow optimization algorithm; multi-objective multi-area economic dispatch; emission optimization; cost optimization
收藏原文链接
Journal
摘要: Medical image classification becomes a vital part of the design of computer aided diagnosis (CAD) models. The conventional CAD models are majorly dependent upon the shapes, colors, and/or textures that are problem oriented and exhibited complementary in medical images. The recently developed deep learning (DL) approaches pave an efficient method of constructing dedicated models for classification problems. But the maximum resolution of medical images and small datasets, DL models are facing the 关键词: Medical image classification; spiking neural networks; computer aided diagnosis; medical imaging; parameter optimization; deep learning
收藏原文链接
Journal
摘要: Wireless Sensor Network (WSN), which finds as one of the major components of modern electronic and wireless systems. A WSN consists of numerous sensor nodes for the discovery of sensor networks to leverage features like data sensing, data processing, and communication. In the field of medical health care, these network plays a very vital role in transmitting highly sensitive data from different geographic regions and collecting this information by the respective network. But the fear of differen关键词: Wireless sensor network; intrusion detection systems; long short term memory; megabat optimization
收藏原文链接
Journal
摘要: In wireless body sensor network (WBSN), the set of electrocardiogram (ECG) data which is collected from sensor nodes and transmitted to the server remotely supports the experts to monitor the health of a patient. While transmitting these collected data some adversaries may capture and misuse it due to the compromise of security. So, the major aim of this work is to enhance secure transmission of ECG signal in WBSN. To attain this goal, we present Pity Beetle Swarm Optimization Algorithm (PBOA) b关键词: Wireless body sensor network; ECG; pity beetle swarm optimization algorithm; elliptic galois cryptography and chaotic neural network
收藏原文链接
Journal
B. Jaishankar;Raghunathan Anitha;Finney Daniel Shadrach;M. Sivarathinabala;V. Balamurugan;
COMPUTER SYSTEMS SCIENCE AND ENGINEERINGVolume 44, Issue 2, 2023, PP 1823-1836
摘要: In the discipline of Music Information Retrieval (MIR), categorizing music files according to their genre is a difficult process. Music genre classification is an important multimedia research domain for classification of music databases. In the proposed method music genre classification using features obtained from audio data is proposed. The classification is done using features extracted from the audio data of popular online repository namely GTZAN, ISMIR 2004 and Latin Music Dataset (LMD). T关键词: Genre; african buffalo optimization; neural network; SVM; audio data; music
收藏原文链接
Journal
Ashit Kumar Dutta;Yasser Albagory;Manal Al Faraj;Majed Alsanea;Abdul Rahaman Wahab Sait;
COMPUTER SYSTEMS SCIENCE AND ENGINEERINGVolume 44, Issue 2, 2023, PP 1419-1432
摘要: Accurate soil prediction is a vital parameter involved to decide appropriate crop, which is commonly carried out by the farmers. Designing an automated soil prediction tool helps to considerably improve the efficacy of the farmers. At the same time, fuzzy logic (FL) approaches can be used for the design of predictive models, particularly, Fuzzy Cognitive Maps (FCMs) have involved the concept of uncertainty representation and cognitive mapping. In other words, the FCM is an integration of the rec关键词: Soil classification; intelligent models; fuzzy cognitive maps; cat swarm optimization; fuzzy logic
收藏原文链接
Journal
摘要: In recent years, Peripheral blood smear is a generic analysis to assess the person’s health status. Manual testing of Peripheral blood smear images are difficult, time-consuming and is subject to human intervention and visual error. This method encouraged for researchers to present algorithms and techniques to perform the peripheral blood smear analysis with the help of computer-assisted and decision-making techniques. Existing CAD based methods are lacks in attaining the accurate detection of a关键词: Peripheral blood smear; DCNN classifier; pre-processing; segmentation; feature extraction; salp swarm optimization; classification
收藏原文链接
Journal
摘要: In recent decades, several optimization algorithms have been developed for selecting the most energy efficient clusters in order to save power during transmission to a shorter distance while restricting the Primary Users (PUs) interference. The Cognitive Radio (CR) system is based on the Adaptive Swarm Distributed Intelligent based Clustering algorithm (ASDIC) that shows better spectrum sensing among group of multiusers in terms of sensing error, power saving, and convergence time. In this resea关键词: Adaptive swarm distributed clustering; cognitive radio; clustering algorithm; distributed swarm intelligent; energy efficient distributed cluster-based sensing; multi modal optimization
收藏原文链接
Journal
摘要: Recently, data science techniques utilize artificial intelligence (AI) techniques who start and run small and medium-sized enterprises (SMEs) to take an influence and grow their businesses. For SMEs, owing to the inexistence of consistent data and other features, evaluating credit risks is difficult and costly. On the other hand, it becomes necessary to design efficient models for predicting business failures or financial crises of SMEs. Various data classification approaches for financial crisi关键词: Small medium-sized enterprises; deep learning; FCP; financial sector; prediction; metaheuristics; sailfish optimization
收藏原文链接
Journal
摘要: Agriculture plays a vital role in the food production process that occupies nearly one-third of the total surface of the earth. Rice is propagated from the seeds of paddy and it is a stable food almost used by fifty percent of the total world population. The extensive growth of the human population alarms us to ensure food security and the country should take proper food steps to improve the yield of food grains. This paper concentrates on improving the yield of paddy by predicting the factors t关键词: ANN; back propagation algorithm; genetic algorithm; multi objective particle swarm optimization algorithm
收藏原文链接
回到顶部