標(biāo)題: Titlebook: Computational Intelligence in Pattern Recognition; Proceedings of CIPR Asit Kumar Das,Janmenjoy Nayak,Danilo Pelusi Conference proceedings [打印本頁] 作者: 炸彈 時(shí)間: 2025-3-21 16:14
書目名稱Computational Intelligence in Pattern Recognition影響因子(影響力)
書目名稱Computational Intelligence in Pattern Recognition影響因子(影響力)學(xué)科排名
書目名稱Computational Intelligence in Pattern Recognition網(wǎng)絡(luò)公開度
書目名稱Computational Intelligence in Pattern Recognition網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Computational Intelligence in Pattern Recognition被引頻次
書目名稱Computational Intelligence in Pattern Recognition被引頻次學(xué)科排名
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書目名稱Computational Intelligence in Pattern Recognition年度引用學(xué)科排名
書目名稱Computational Intelligence in Pattern Recognition讀者反饋
書目名稱Computational Intelligence in Pattern Recognition讀者反饋學(xué)科排名
作者: 拋物線 時(shí)間: 2025-3-21 20:44 作者: 翅膀拍動(dòng) 時(shí)間: 2025-3-22 04:10 作者: 挖掘 時(shí)間: 2025-3-22 07:05 作者: 按時(shí)間順序 時(shí)間: 2025-3-22 10:54
Feature Extraction and Disease Prediction from Paddy Crops Using Data Mining Techniques,xtraction techniques, and then important and relevant features are selected from the extracted features using the proposed method. The proposed method gives a remarkable result which can help in the agricultural field.作者: BOOM 時(shí)間: 2025-3-22 16:28 作者: BOOM 時(shí)間: 2025-3-22 21:01 作者: Crepitus 時(shí)間: 2025-3-22 21:40
https://doi.org/10.1057/9780230250956ly have a lower energy level compared to other forms, and this is represented by short time energy (STE)-based facet. The two broad categories of dance forms bear a basic asymmetry between them, and this can be represented by skewness-based facet. The combination of chroma-based facets and skewness-作者: Subjugate 時(shí)間: 2025-3-23 04:38 作者: cuticle 時(shí)間: 2025-3-23 05:32 作者: obnoxious 時(shí)間: 2025-3-23 11:13 作者: 天文臺(tái) 時(shí)間: 2025-3-23 15:02 作者: obnoxious 時(shí)間: 2025-3-23 21:01 作者: 排斥 時(shí)間: 2025-3-23 23:07 作者: 繁榮中國 時(shí)間: 2025-3-24 05:06 作者: enfeeble 時(shí)間: 2025-3-24 10:29 作者: Kaleidoscope 時(shí)間: 2025-3-24 11:33 作者: 饒舌的人 時(shí)間: 2025-3-24 15:15
https://doi.org/10.1007/978-1-4020-5996-4scheduling problem. EHO method is motivated by the herding performance of group of elephants. The simulation results verified that the implemented algorithm surpasses various other metaheuristic algorithms, such as shuffled frog leaping algorithm (SFLA), particle swarm optimization (PSO) and genetic algorithm (GA).作者: 詩集 時(shí)間: 2025-3-24 19:59 作者: granite 時(shí)間: 2025-3-25 01:35 作者: 染色體 時(shí)間: 2025-3-25 07:24 作者: AIL 時(shí)間: 2025-3-25 09:51 作者: JAUNT 時(shí)間: 2025-3-25 13:54 作者: Rct393 時(shí)間: 2025-3-25 18:06 作者: 不怕任性 時(shí)間: 2025-3-25 22:58 作者: dermatomyositis 時(shí)間: 2025-3-26 03:44 作者: 挑剔為人 時(shí)間: 2025-3-26 08:14 作者: DENT 時(shí)間: 2025-3-26 10:14
Study of Sentiment Analysis in Mental Health Using Speech Recognition and Image to Text Conversion,ychology. The maximum time is consumed by social media on an average by every human being now. This data analysis can help in the prevention of various mental health disorders and help in early detection of depression.作者: 瑣碎 時(shí)間: 2025-3-26 16:04
Predicting Dynamic Product Price by Online Analysis: Modified K-Means Cluster,omers by using different applications. In our work, we have used modified K-means clustering method and divided online data. Dataset is divided into 10 clusters for analysis. In the last section, the conclusion based on I/O time and computational time is given.作者: 極小量 時(shí)間: 2025-3-26 17:53
A Conceptual Approach for Framework to Design Radar System Using Arduino with Initial Experiments,controller board used for same. This enterprise is around creating radar, which is effective. Arduino is used in this project as it is cheaper than other microcontrollers, effective, and easily available in the market.作者: 喃喃訴苦 時(shí)間: 2025-3-26 22:43 作者: 按等級 時(shí)間: 2025-3-27 02:12
A Proposed Gene Selection Approach for Disease Detection,o disease like cancer, where time and experience is very critical, it becomes important to get the right diagnosis done at the right time by experienced and trained system or doctors. If the diagnosis/treatment is provided on time (i.e., within the golden hour), then saving a patient would be an easier and more promising task.作者: amyloid 時(shí)間: 2025-3-27 05:34 作者: Evocative 時(shí)間: 2025-3-27 10:20
Conference proceedings 2020ng, social network analysis, audio and video data analysis, data mining in dynamic environments, bioinformatics, hybrid computing, big data analytics and deep learning. It also provides innovative solutions to the challenges in these areas and discusses recent developments...?.作者: bizarre 時(shí)間: 2025-3-27 15:44 作者: 階層 時(shí)間: 2025-3-27 20:48 作者: 毗鄰 時(shí)間: 2025-3-27 22:07 作者: Overdose 時(shí)間: 2025-3-28 03:12
Nearest Neighbor-Based Differential Evolution for Reconstructing Gene Regulatory Network,parameter set of RNN obtained from the experiment is used to design the gene regulatory network of our interest. The inferred GRN has been analyzed on the basis of three performance metrics. It is observed that in many performance metrics, the proposed algorithm outperformed the state-of-the-art algorithms.作者: 盲信者 時(shí)間: 2025-3-28 09:24
Inference-Based Statistical Analysis for Suspicious Activity Detection Using Facial Analysis,will be developed by integrating following modules facial expression recognition, face detection, speech recognition and object recognition. In this paper, we proposed a novel and cost-effective framework designed for suspicious activity detection using facial expression analysis or emotions detection analysis in law enforcement.作者: SLING 時(shí)間: 2025-3-28 13:17
Deep Recurrent Neural Network (Deep-RNN) for Classification of Nonlinear Data, for a classification task. RNN follows a method for weight updation which is known as Backpropagation Through Time (BPTT) and we have used the concept of Deep-RNN by following the concepts of both forward pass and backward pass. Simulation results are quite impressive as compared to earlier developed machine learning models.作者: Ganglion 時(shí)間: 2025-3-28 17:01 作者: 口訣 時(shí)間: 2025-3-28 22:08
Miao Zhang,Christine Edwards,Jiaying Maof a cell. The reconstruction of GRN is based on DNA-microarray time series gene expression data. This provides an insight that can be applied to drug development for a disease. Here, recurrent neural network (RNN) is used to model the GRN. The aim is to find the optimal parameter set for RNN which 作者: 大溝 時(shí)間: 2025-3-29 00:42 作者: 油氈 時(shí)間: 2025-3-29 03:57
https://doi.org/10.1057/9780230250956 waves. Radar innovation is used in planes, rockets, marine, climate expectations, and cars. Regardless of the fact that the title Arduino radar works, in fact, this venture depends on sonar innovation because we have used an ultrasonic sensor to determine the motion of an object. Arduino is a micro作者: conflate 時(shí)間: 2025-3-29 09:17
https://doi.org/10.1057/9780230250956 currently in wide use in healthcare applications such as artificial limbs. And there are increasing progressions in the development of more accurate, lesser invasive technologies for brain mapping. This makes it possible to blend smart computing methods with BMI to enhance the functionality of smar作者: Anticlimax 時(shí)間: 2025-3-29 13:53 作者: NAV 時(shí)間: 2025-3-29 16:18 作者: 解開 時(shí)間: 2025-3-29 21:56 作者: definition 時(shí)間: 2025-3-30 02:28 作者: acrobat 時(shí)間: 2025-3-30 06:42
https://doi.org/10.1057/9781137340337ential evolution (DE) optimization technique is used to tune the controller gains and the integral time absolute error (ITAE) is used as an objective function. The proposed approaches advantages are recognized by contrasting its simulation results with GWO tuned PID, BFOA tuned FOPID, and hFA-PS tun作者: Pastry 時(shí)間: 2025-3-30 08:14 作者: 聽寫 時(shí)間: 2025-3-30 15:27
https://doi.org/10.1007/978-981-13-9516-1ly mitigating different risks. The detailed survey of log-based anomaly detection in cloud has been presented here. Intention of this work is to provide the insight into how log data is useful in order to detect anomaly in cloud.作者: Indecisive 時(shí)間: 2025-3-30 16:47
General Conclusion: Summary and Prospect,ts in a timely manner are a challenge in the field of data mining. Researchers are always trying to develop an efficient automated disease classification system to identify crop diseases. This paper presents the development of an automated system that will analyze the diseased infected paddy plant i作者: alleviate 時(shí)間: 2025-3-30 20:49
General Conclusion: Summary and Prospect,ject is purely dependent on various parameters such as time, cost and staff. By these parameters, project planning will be done by the project managers. Software effort estimation is a fundamental and emerging aspect for software companies in developing a software. If we estimate the effort properly作者: 攝取 時(shí)間: 2025-3-31 04:51 作者: AROMA 時(shí)間: 2025-3-31 08:53
SpringerBriefs in Reproductive Biologydetection of disease for humankind is the other motivation. Traditional approaches of disease classification use very limited information, and experience of diagnosis is lacking. Few doctors in a small hospital would be able to diagnose critical disease based on their experience, and when it comes t作者: 女歌星 時(shí)間: 2025-3-31 12:18
Inga Grdzelishvili,Roger Sathrefication, a supervised learning method, is mostly applicable method of data mining. In this paper, we have used different classification techniques to differentiate the results for different data sets. Deep learning or hierarchical learning is the part of machine learning which mainly follows the wi作者: 縮短 時(shí)間: 2025-3-31 14:36 作者: ENDOW 時(shí)間: 2025-3-31 18:20
Nato Security through Science Series C:of traffic in a particular road region followed by its visualization. The primary objective of this paper is to analyze the traffic big data using two comparative parallel algorithms of M5P rules and random forest regression for determining the average journey time based on other parameters related 作者: CYN 時(shí)間: 2025-3-31 23:02
Computational Intelligence in Pattern Recognition978-981-15-2449-3Series ISSN 2194-5357 Series E-ISSN 2194-5365 作者: phlegm 時(shí)間: 2025-4-1 02:53
https://doi.org/10.1007/978-981-13-9516-1ly mitigating different risks. The detailed survey of log-based anomaly detection in cloud has been presented here. Intention of this work is to provide the insight into how log data is useful in order to detect anomaly in cloud.作者: 脫離 時(shí)間: 2025-4-1 08:07
https://doi.org/10.1007/978-981-15-2449-3Rough Set and Fuzzy Set Theory; Genetic Algorithm; Artificial Immune Systems; Optical Networks; Shape an作者: 打火石 時(shí)間: 2025-4-1 13:57
978-981-15-2448-6Springer Nature Singapore Pte Ltd. 2020作者: 自然環(huán)境 時(shí)間: 2025-4-1 15:31
