標(biāo)題: Titlebook: Applications of Computational Intelligence in Biology; Current Trends and O Tomasz G. Smolinski,Mariofanna G. Milanova,Aboul-E Book 2008 Sp [打印本頁] 作者: Enclosure 時(shí)間: 2025-3-21 17:14
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書目名稱Applications of Computational Intelligence in Biology網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Applications of Computational Intelligence in Biology被引頻次
書目名稱Applications of Computational Intelligence in Biology被引頻次學(xué)科排名
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書目名稱Applications of Computational Intelligence in Biology讀者反饋
書目名稱Applications of Computational Intelligence in Biology讀者反饋學(xué)科排名
作者: aristocracy 時(shí)間: 2025-3-21 21:03 作者: 等待 時(shí)間: 2025-3-22 02:46 作者: 漸變 時(shí)間: 2025-3-22 06:50 作者: 飛來飛去真休 時(shí)間: 2025-3-22 11:25
https://doi.org/10.1007/978-981-15-9793-0uch data are called signals. Classical methods of analysing and classifying data, like decision trees, are not suitable for signals as they ignore time nature of data..We propose a novel method, called Local Classifiers, for analysing and classifying signals. The method is a genuine combination of w作者: 實(shí)現(xiàn) 時(shí)間: 2025-3-22 16:32 作者: 認(rèn)識(shí) 時(shí)間: 2025-3-22 19:21 作者: visual-cortex 時(shí)間: 2025-3-23 01:13 作者: 戰(zhàn)役 時(shí)間: 2025-3-23 03:30 作者: 阻塞 時(shí)間: 2025-3-23 09:11
Channel Estimation in RIS-Aided Networkscate experimental results. It is now being used for exploratory analysis where users rapidly determine significant trends and features by working with visual projections of data. A basic workflow is to a) record experimental results or simulate some biological system, b) form hypotheses, c) verify h作者: Frequency-Range 時(shí)間: 2025-3-23 11:23 作者: 不可比擬 時(shí)間: 2025-3-23 15:36
Enabling AI Applications in Data Scienceecting groups and find functions ..,…, .. (. < .) from these groups (macrovariables) whose dynamics only depend on the initial state of the macrovariable. For example, the state of a population genetic system can be described by listing the frequencies .. of different genotypes, so that the correspo作者: 口訣 時(shí)間: 2025-3-23 21:17
Badal Soni,Prachi Mathur,Angshuman Boraceptual biology focuses on hypothesis generation from biomedical literature. Most of the algorithms for hypothesis generation are dedicated to produce one type of hypothesis called pairwise relation by interacting with certain search engines such as PubMed. In order to fully realize the potential of作者: MELON 時(shí)間: 2025-3-24 00:36 作者: 側(cè)面左右 時(shí)間: 2025-3-24 02:30
Prabha Susy Mathew,Anitha S. Pillairelevant animal behaviors, has become mainstream in biology. The field has its own journals, books, organization and conferences. As do other scientists, cognitive ethologists employ conceptual models, mathematical models and sometime computational models. Most of these models, of all three types, a作者: exhilaration 時(shí)間: 2025-3-24 10:36 作者: 拍下盜公款 時(shí)間: 2025-3-24 12:18 作者: Valves 時(shí)間: 2025-3-24 17:31
Tomasz G. Smolinski,Mariofanna G. Milanova,Aboul-EPresents current applications of Computational Intelligence in Biology作者: 男生如果明白 時(shí)間: 2025-3-24 22:15 作者: degradation 時(shí)間: 2025-3-24 23:22 作者: amnesia 時(shí)間: 2025-3-25 07:08
978-3-642-09730-0Springer-Verlag Berlin Heidelberg 2008作者: somnambulism 時(shí)間: 2025-3-25 11:34
Statistically Based Pattern Discovery Techniques for Biological Data Analysish-risk decision making systems, a milieu familiar to many biologically-related problem domains, is the likely area of application for this technique. An analysis of the performance of this technique on a series of biologically relevant data distributions is presented, and the relative merits and weaknesses of this technique are discussed.作者: 委屈 時(shí)間: 2025-3-25 11:56
Rough Sets In Data Analysis: Foundations and Applicationso the notion nor to its complement. The central tool in realizing this idea in rough sets is the relation of uncertainty based on the classical notion of indiscernibility due to Gottfried W. Leibniz: objects are indiscernible when no operator applied to each of them yields distinct values.作者: Obstruction 時(shí)間: 2025-3-25 17:03
Contour Matching for Fish Species Recognition and Migration Monitoringhallenges involved in the design of this system, both hardware and software, and we present results from a field test of the system at Prosser Dam in Prosser, Washington. In tests with up to four distinct species, the algorithm correctly determines the species with greater than 90 percent accuracy.作者: Guileless 時(shí)間: 2025-3-25 21:34 作者: 蝕刻 時(shí)間: 2025-3-26 02:29 作者: 圓木可阻礙 時(shí)間: 2025-3-26 06:34 作者: 人類 時(shí)間: 2025-3-26 12:05 作者: 漫不經(jīng)心 時(shí)間: 2025-3-26 13:43 作者: 擁護(hù)者 時(shí)間: 2025-3-26 18:05
Cell-Free MIMO Systems for UDNss. The application of integrated computational and biological approaches may help to achieve a better system-based understanding of biological processes in different environments. This will help to fully access valuable information regarding the evolution of genes and genomes in the wide diversity of organisms.作者: Biofeedback 時(shí)間: 2025-3-27 00:27 作者: 信徒 時(shí)間: 2025-3-27 03:29
Phylogenomics, Protein Family Evolution, and the Tree of Life: An Integrated Approach between Molecus. The application of integrated computational and biological approaches may help to achieve a better system-based understanding of biological processes in different environments. This will help to fully access valuable information regarding the evolution of genes and genomes in the wide diversity of organisms.作者: 名字 時(shí)間: 2025-3-27 05:26
https://doi.org/10.37307/b.978-3-503-20967-5ith some promising paths for future research, aiming to identify areas of opportunity for those interested in the intersection of these two disciplines: multi-objective evolutionary algorithms and Biology.作者: Phagocytes 時(shí)間: 2025-3-27 11:47 作者: Nomogram 時(shí)間: 2025-3-27 17:09
An Introduction to Multi-Objective Evolutionary Algorithms and Some of Their Potential Uses in Bioloith some promising paths for future research, aiming to identify areas of opportunity for those interested in the intersection of these two disciplines: multi-objective evolutionary algorithms and Biology.作者: 注射器 時(shí)間: 2025-3-27 20:50 作者: jovial 時(shí)間: 2025-3-27 23:45 作者: 脆弱帶來 時(shí)間: 2025-3-28 05:53
Statistically Based Pattern Discovery Techniques for Biological Data Analysissignificant associations. The rules resulting from this analysis capture all the patterns observable within a data set for which a statistically sound rationale is available. The validity of such patterns recommends their use in cases where the rationale underlying a decision must be understood. Hig作者: 胡言亂語 時(shí)間: 2025-3-28 09:56
Rough Sets In Data Analysis: Foundations and Applicationsea proposed by Z. Pawlak in 1982 goes back to classical idea of representing uncertain and/or inexact notions due to the founder of modern logic, Gottlob Frege: uncertain notions should possess around them a region of uncertainty consisting of objects that can be qualified with certainty neither int作者: 小溪 時(shí)間: 2025-3-28 12:39 作者: MARS 時(shí)間: 2025-3-28 16:10 作者: GLOSS 時(shí)間: 2025-3-28 20:51 作者: 有發(fā)明天才 時(shí)間: 2025-3-29 02:39 作者: 食物 時(shí)間: 2025-3-29 06:32
Using Machine Vision to Detect Distinctive Behavioral Phenotypes of Thread-shape Microscopic Organisis of many important aspects of nervous system function and development in the nematode such as . (.). Although a large number of distinctive phenotypes can be distinguished by an experienced observer, automatic and precise detection methods have not been systemically addressed. Here we describe a b作者: 巨大沒有 時(shí)間: 2025-3-29 09:19 作者: TRACE 時(shí)間: 2025-3-29 14:50 作者: engagement 時(shí)間: 2025-3-29 18:14
Visualization and Interactive Exploration of Large, Multidimensional Data Setscate experimental results. It is now being used for exploratory analysis where users rapidly determine significant trends and features by working with visual projections of data. A basic workflow is to a) record experimental results or simulate some biological system, b) form hypotheses, c) verify h作者: 失敗主義者 時(shí)間: 2025-3-29 22:31 作者: GLADE 時(shí)間: 2025-3-30 01:42
Computational Aspects of Aggregation in Biological Systemsecting groups and find functions ..,…, .. (. < .) from these groups (macrovariables) whose dynamics only depend on the initial state of the macrovariable. For example, the state of a population genetic system can be described by listing the frequencies .. of different genotypes, so that the correspo作者: Jejune 時(shí)間: 2025-3-30 06:14 作者: 細(xì)絲 時(shí)間: 2025-3-30 10:27
Computational Intelligence in Electrophysiology: Trends and Open Problemsuroscience Meeting CNS*2007 that took place in July 2007 in Toronto, Canada (http ://www.cnsorg.org). The main aim of the workshop was to bring together researchers interested in developing and using automated analysis tools and database systems for electrophysiological data. Selected discussed topi作者: EXPEL 時(shí)間: 2025-3-30 14:22 作者: 浪費(fèi)時(shí)間 時(shí)間: 2025-3-30 16:31 作者: NEX 時(shí)間: 2025-3-30 23:53
