標(biāo)題: Titlebook: Biologically Inspired Techniques in Many-Criteria Decision Making; International Confer Satchidananda Dehuri,Bhabani Shankar Prasad Mishra [打印本頁(yè)] 作者: 輕舟 時(shí)間: 2025-3-21 19:40
書(shū)目名稱Biologically Inspired Techniques in Many-Criteria Decision Making影響因子(影響力)
書(shū)目名稱Biologically Inspired Techniques in Many-Criteria Decision Making影響因子(影響力)學(xué)科排名
書(shū)目名稱Biologically Inspired Techniques in Many-Criteria Decision Making網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱Biologically Inspired Techniques in Many-Criteria Decision Making網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱Biologically Inspired Techniques in Many-Criteria Decision Making被引頻次
書(shū)目名稱Biologically Inspired Techniques in Many-Criteria Decision Making被引頻次學(xué)科排名
書(shū)目名稱Biologically Inspired Techniques in Many-Criteria Decision Making年度引用
書(shū)目名稱Biologically Inspired Techniques in Many-Criteria Decision Making年度引用學(xué)科排名
書(shū)目名稱Biologically Inspired Techniques in Many-Criteria Decision Making讀者反饋
書(shū)目名稱Biologically Inspired Techniques in Many-Criteria Decision Making讀者反饋學(xué)科排名
作者: jumble 時(shí)間: 2025-3-21 23:54
Biologically Inspired Techniques in Many-Criteria Decision MakingInternational Confer作者: 混合 時(shí)間: 2025-3-22 03:16
Conference proceedings 2020book introduces readers to state-of-the-art developments in biologically inspired techniques and their applications, with a major emphasis on the MCDM process. To do so, it presents a wide range of contributions on e.g. BIAs, MCDM, nature-inspired algorithms, multi-criteria optimization, machine lea作者: anthesis 時(shí)間: 2025-3-22 07:10 作者: THROB 時(shí)間: 2025-3-22 12:31
Epidemiology of Breast Cancer (BC) and Its Early Identification via Evolving Machine Learning Classised for Machine Learning may increase our understanding about breast cancer prediction and progression. It is important to consider these approaches in daily clinical practice. Neural networks are now a day’s very key and popular field in computational biology, chiefly in the area of radiology, onco作者: curettage 時(shí)間: 2025-3-22 13:52
Ensemble Classification Approach for Cancer Prognosis and Predictionbor (KNN), Multi-Layer Perceptron (MLP) and Decision Tree (DT). Training of classifier is implemented based on k-fold cross validation techniques. The predicted accuracy of the proposed model has been compared with recent fusion methods such as Majority Voting, Distribution Summation and Dempster–Sh作者: CRUE 時(shí)間: 2025-3-22 20:33
https://doi.org/10.1007/978-3-663-14606-3for analysis. Earlier researches are made on the same concept but the present goal of the study is to develop such a model that is scalable, fault-tolerant and has a lower latency. The model rests on a distributed computing architecture called the Lambda Architecture which helps in attaining the goa作者: habitat 時(shí)間: 2025-3-22 23:02 作者: INTER 時(shí)間: 2025-3-23 04:16
https://doi.org/10.1007/978-1-4612-1822-7bor (KNN), Multi-Layer Perceptron (MLP) and Decision Tree (DT). Training of classifier is implemented based on k-fold cross validation techniques. The predicted accuracy of the proposed model has been compared with recent fusion methods such as Majority Voting, Distribution Summation and Dempster–Sh作者: 平項(xiàng)山 時(shí)間: 2025-3-23 09:02
Satchidananda Dehuri,Bhabani Shankar Prasad MishraAddresses recent challenges in optimization methods and techniques associated with the exponential growth in data production.Gathers the Proceedings of the International Conference on Biologically Ins作者: 咒語(yǔ) 時(shí)間: 2025-3-23 09:59
Learning and Analytics in Intelligent Systemshttp://image.papertrans.cn/b/image/187526.jpg作者: facilitate 時(shí)間: 2025-3-23 16:16
https://doi.org/10.1007/978-3-030-39033-4Bio-Inspired Algorithms; Ant Colony Optimization; Genetic Algorithm; Evolutionary Algorithm; Particle Sw作者: 懲罰 時(shí)間: 2025-3-23 21:54 作者: 清楚 時(shí)間: 2025-3-24 02:16
Biologically Inspired Techniques in Many-Criteria Decision Making978-3-030-39033-4Series ISSN 2662-3447 Series E-ISSN 2662-3455 作者: ESPY 時(shí)間: 2025-3-24 02:48
Darya Tarasowa,Christoph Lange,S?ren Auer tried to obtain better accuracy in the work cardiac signal classification using artificial neural network (ANN) classifier. Weights of the neural network are optimized using Grey Wolf Optimization (GWO) algorithm. The proposed optimized model is utilized for arrhythmia classification. Data collecte作者: Inexorable 時(shí)間: 2025-3-24 08:10 作者: 摘要 時(shí)間: 2025-3-24 13:40 作者: BARGE 時(shí)間: 2025-3-24 18:09 作者: 陶瓷 時(shí)間: 2025-3-24 19:29
https://doi.org/10.1007/978-3-319-45880-9hough hospitals in urban areas are using advanced technology for diagnosis and prognosis, disease prediction is one of the hypercritical tasks. Providing sophisticated and accurate algorithms and techniques to overcome this issue will be revolutionary. In this paper, we present a machine learning te作者: 使腐爛 時(shí)間: 2025-3-24 23:35 作者: 修改 時(shí)間: 2025-3-25 03:46 作者: 神圣將軍 時(shí)間: 2025-3-25 10:23
Nataliya Yelagina,Michail Panteleyev management, mineral exploration, agriculture, environmental monitoring and other tasks for earth observation. Earlier these images are very rarely available. But with recent appearance of Airborne Hyperspectral Imaging System, hyperspectral images entered into main stream of remote sensing. In this作者: AVID 時(shí)間: 2025-3-25 15:25 作者: 常到 時(shí)間: 2025-3-25 17:25 作者: 效果 時(shí)間: 2025-3-25 20:30
https://doi.org/10.1007/978-3-663-14606-3wide. Big number of people is passing their life or poor survival rate is because of this disease every year. Females are at high risk of BC, so it became quite essential and necessary for doctors to choose for an exact and suitable treatment for avoidance and remedy of cancer patients. So the basic作者: 雪白 時(shí)間: 2025-3-26 01:22 作者: 主動(dòng)脈 時(shí)間: 2025-3-26 06:35
Knowledge Engineering in Health Informaticsly for the low-resource, morphologically complex languages the availability of summarization data set is rare and difficult to construct. In this work, we propose a novel technique to extract Odia text from the image files using optical character recognition (OCR) and summarize the obtained text usi作者: affinity 時(shí)間: 2025-3-26 12:32
Pablo E. Román,Juan D. Velásquez, sports, politics, editorial, readers view, sports etc. This paper purposes to categorize positive, negative and neutral local news and later on prediction of sensitivity from negative local news articles. The purpose of sensitivity analysis of negative local news articles is to set priority of act作者: 沖突 時(shí)間: 2025-3-26 16:32 作者: 急性 時(shí)間: 2025-3-26 18:51
Preference-Based Uncertain Data Integrationinvolved in sending of messages to those parts that controls coordination and movement in brain. With the help of Machine Learning approaches, it sets a base for an Intelligent system that helps in computer-aided diagnosis of PD patients. Machine Learning is used for early diagnosis and prediction s作者: 婚姻生活 時(shí)間: 2025-3-27 00:17
https://doi.org/10.1057/9780230508927ons FST is not capable to play crucial rule. In such situations Picture fuzzy set (PFS) come into the picture which is the direct extension of FST and Intuitionistic fuzzy set (IFS). Although different studies on FST and IFS have been done including their algebraic structure, however these studies a作者: 善變 時(shí)間: 2025-3-27 04:10 作者: Culmination 時(shí)間: 2025-3-27 08:27
Multi-objective Biogeography-Based Optimization for Influence Maximization-Cost Minimization in Soci (called influence spread), is a key algorithmic problem in social influence analysis. In the past, a lot of studies were carried out to identify influential seeds from a given social graph and propagation model. Many propagation models, greedy algorithms, approximation algorithms came. However, a v作者: 暫時(shí)中止 時(shí)間: 2025-3-27 10:47
Classification of Credit Dataset Using Improved Particle Swarm Optimization Tuned Radial Basis Funct economic, social, demographic, and other pertinent data provided by the customers and about the customers for building a more accurate and robust electronic finance system. The classification problem is one of the primary concerns in the process of analyzing the gamut of data; however, its complexi作者: 灰姑娘 時(shí)間: 2025-3-27 15:32 作者: 不遵守 時(shí)間: 2025-3-27 21:03 作者: 宏偉 時(shí)間: 2025-3-28 01:51
Classification of Real Time Noisy Fingerprint Images Using Flannase is collected in real time from ten different persons and the features are extracted of five different classes of fingerprints using Gabor Filter bank. The results prove that this method is robust enough to classify the fingerprints with a good accuracy. Here we have used Biogeography based optim作者: 減弱不好 時(shí)間: 2025-3-28 03:25
Software Reliability Prediction with Ensemble Method and Virtual Data Point Incorporationn of software reliability is an important but critical job. Machine Learning (ML) techniques have been proven victorious in providing superior results than traditional techniques for software reliability prediction. Generally, ML models entail sufficient data for training to achieve improved general作者: LANCE 時(shí)間: 2025-3-28 08:37
Hyperspectral Image Classification Using Stochastic Gradient Descent Based Support Vector Machine management, mineral exploration, agriculture, environmental monitoring and other tasks for earth observation. Earlier these images are very rarely available. But with recent appearance of Airborne Hyperspectral Imaging System, hyperspectral images entered into main stream of remote sensing. In this作者: corporate 時(shí)間: 2025-3-28 12:04
A Survey on Ant Colony Optimization for Solving Some of the Selected NP-Hard Problempularly used techniques in the field of meta-heuristic techniques that gave acceptable solutions to intractable problems like Travelling Salesperson (TS), Subset Selection (SS), Minimum Vertex Cover (MVC), and 0/1 Knapsack in tolerable amount of time. We have reviewed literature on the usage of afor作者: macabre 時(shí)間: 2025-3-28 18:04
Machine Learning Models for Stock Prediction Using Real-Time Streaming Dataata has also been proven to be a perennial source of data analysis collected in real-time, which basically deals with the continuous flow of data carrying information from sources like websites, mobile phone applications, server logs, social websites, trading floors, etc. The classifying model made 作者: pulse-pressure 時(shí)間: 2025-3-28 21:52 作者: A簡(jiǎn)潔的 時(shí)間: 2025-3-29 02:54
Ensemble Classification Approach for Cancer Prognosis and Predictionmore complex with large number of genes and small samples are available with noise and redundant information. Meaningful correlated information from dataset is the first and most important steps to be extracted for better diagnosis through artificial intelligence (AI). Accordingly, recent work for A作者: MAIM 時(shí)間: 2025-3-29 04:55
Extractive Odia Text Summarization System: An OCR Based Approachly for the low-resource, morphologically complex languages the availability of summarization data set is rare and difficult to construct. In this work, we propose a novel technique to extract Odia text from the image files using optical character recognition (OCR) and summarize the obtained text usi作者: 疾馳 時(shí)間: 2025-3-29 09:58
Predicting Sensitivity of Local News Articles from Odia Dailies, sports, politics, editorial, readers view, sports etc. This paper purposes to categorize positive, negative and neutral local news and later on prediction of sensitivity from negative local news articles. The purpose of sensitivity analysis of negative local news articles is to set priority of act作者: 吹氣 時(shí)間: 2025-3-29 15:18 作者: 人類 時(shí)間: 2025-3-29 16:34 作者: resuscitation 時(shí)間: 2025-3-29 20:33
Operations on Picture Fuzzy Numbers and Their Application in Multi-criteria Group Decision Making Prons FST is not capable to play crucial rule. In such situations Picture fuzzy set (PFS) come into the picture which is the direct extension of FST and Intuitionistic fuzzy set (IFS). Although different studies on FST and IFS have been done including their algebraic structure, however these studies a作者: pantomime 時(shí)間: 2025-3-30 01:32
Conference proceedings 2020ld problems, there are several different objectives that need to be taken into account. Solving these problems is a challenging task and requires careful consideration. In real applications, often simple and easy to understand methods are used; as a result, the solutions accepted by decision makers 作者: Mindfulness 時(shí)間: 2025-3-30 06:47
Darya Tarasowa,Christoph Lange,S?ren Auerd from UCI repository for the said purpose. The performance is compared for both ANN and ANN with GWO. 93.38% classification accuracy is obtained by using ANN-GWO classifier. As compare to earlier work it is found that the proposed approach is much better in terms of accuracy.作者: 可互換 時(shí)間: 2025-3-30 11:23 作者: 一窩小鳥(niǎo) 時(shí)間: 2025-3-30 14:27 作者: NATAL 時(shí)間: 2025-3-30 17:11 作者: 鋼筆尖 時(shí)間: 2025-3-30 23:19 作者: 是貪求 時(shí)間: 2025-3-31 04:04 作者: 熟練 時(shí)間: 2025-3-31 08:30 作者: Daily-Value 時(shí)間: 2025-3-31 10:09 作者: Interlocking 時(shí)間: 2025-3-31 15:58
2662-3447 ceedings of the International Conference on Biologically Ins.This book addresses many-criteria decision-making (MCDM), a process used to find a solution in an environment with several criteria. In many real-world problems, there are several different objectives that need to be taken into account. So作者: 闖入 時(shí)間: 2025-3-31 18:03 作者: 沉著 時(shí)間: 2025-3-31 23:14 作者: 陳腐的人 時(shí)間: 2025-4-1 05:55
Classification of Real Time Noisy Fingerprint Images Using Flannank. The results prove that this method is robust enough to classify the fingerprints with a good accuracy. Here we have used Biogeography based optimized Functional Link Artificial Neural Networks (BBO-FLANN) for the task of classification of noisy distorted fingerprint images.作者: Formidable 時(shí)間: 2025-4-1 06:16
A Systematic Frame Work Using Machine Learning Approaches in Supply Chain Forecastingt and reduce errors marginally. The purpose of such a systematic approach using the proposed architecture is to reduce inventory holdings which shall largely account for important decision-making policies in the future.作者: cylinder 時(shí)間: 2025-4-1 14:03
Maria Saburova,Archil Maysuradzezation and non-dominated sorting genetic algorithm II. A multi-objective ranking and selection strategy improve the convergence rate. Our empirical analysis on many real-life networks confers the effectiveness of the algorithm in terms of both influence spread and time efficiency.
