標題: Titlebook: Intelligent Systems, Technologies and Applications; Proceedings of Sixth Marcin Paprzycki,Sabu M. Thampi,El-Sayed M. El-Alf Conference proc [打印本頁] 作者: 固執(zhí)已見 時間: 2025-3-21 19:48
書目名稱Intelligent Systems, Technologies and Applications影響因子(影響力)
書目名稱Intelligent Systems, Technologies and Applications影響因子(影響力)學科排名
書目名稱Intelligent Systems, Technologies and Applications網(wǎng)絡公開度
書目名稱Intelligent Systems, Technologies and Applications網(wǎng)絡公開度學科排名
書目名稱Intelligent Systems, Technologies and Applications被引頻次
書目名稱Intelligent Systems, Technologies and Applications被引頻次學科排名
書目名稱Intelligent Systems, Technologies and Applications年度引用
書目名稱Intelligent Systems, Technologies and Applications年度引用學科排名
書目名稱Intelligent Systems, Technologies and Applications讀者反饋
書目名稱Intelligent Systems, Technologies and Applications讀者反饋學科排名
作者: 擦試不掉 時間: 2025-3-21 21:27 作者: 同來核對 時間: 2025-3-22 03:44 作者: 消極詞匯 時間: 2025-3-22 08:27 作者: 無節(jié)奏 時間: 2025-3-22 11:20 作者: 預感 時間: 2025-3-22 14:40
K. A. Akhila Naz,R. S. Jeena,P. Niyasargues for using this information in the knowledge generation process.. .The main result is the development of a conceptual framework that can accommodate textual sources and integrate the information included in them into a software engineering framework. The said framework is meant to assist cultu作者: 有惡意 時間: 2025-3-22 21:01
n- tify them precisely. This identification is an essential first step toward development of new insights into pathogenetic mechanisms and their use in decision978-3-642-64421-4978-3-642-60473-7Series ISSN 0177-7475 作者: 孵卵器 時間: 2025-3-22 22:52 作者: 暫停,間歇 時間: 2025-3-23 02:49
V. S. Abhay,V. H. Fahida,T. R. Reshma,C. K. Sajan,Siddharth Shellys the development of a conceptual framework that can accommodate textual sources and integrate the information included in them into a software engineering framework. The said framework is meant to assist cultu978-3-319-88726-5978-3-319-69188-6Series ISSN 2196-7326 Series E-ISSN 2196-7334 作者: 新娘 時間: 2025-3-23 08:32 作者: CUR 時間: 2025-3-23 12:44
Nuha S. Varier,Sriraj Vuppala,Rohan Boggarapu,Ankita Mohapatra,Sangita Khares the development of a conceptual framework that can accommodate textual sources and integrate the information included in them into a software engineering framework. The said framework is meant to assist cultu978-3-319-88726-5978-3-319-69188-6Series ISSN 2196-7326 Series E-ISSN 2196-7334 作者: 笨拙的你 時間: 2025-3-23 16:13 作者: 打擊 時間: 2025-3-23 21:51
P. V. S. M. S. Kartik,B. Abhilash,Durga Naga Sai Sravan Nekkanti,G. Jeyakumar作者: 慷慨不好 時間: 2025-3-23 23:42 作者: Focus-Words 時間: 2025-3-24 05:07 作者: 共和國 時間: 2025-3-24 08:01 作者: 非實體 時間: 2025-3-24 12:26 作者: RACE 時間: 2025-3-24 18:19 作者: condone 時間: 2025-3-24 23:04
Identifying Network Intrusion Using Enhanced Whale Optimization Algorithm,hodology to locate the attack detection point through the process of spiral updation. The motto of this work is to enhance the detection rate of IDS thereby searching the most promising regions located by search agents using an enhanced whale optimization algorithm (EWOA). NSL-KDD dataset is used fo作者: 東西 時間: 2025-3-25 03:04 作者: 珊瑚 時間: 2025-3-25 05:11 作者: 亞當心理陰影 時間: 2025-3-25 09:05
Diabetes Prediction Using Machine Learning Techniques, well be implemented to detect the presence of Type-2 Diabetes in a patient. The goal of this work is to detect the existence of Type-2 Diabetes Mellitus in a person. If the existence of Diabetes in a patient is known beforehand, it would be easy for the doctors to understand the complexity of the d作者: 無可爭辯 時間: 2025-3-25 13:10 作者: Nucleate 時間: 2025-3-25 17:52 作者: CHART 時間: 2025-3-25 22:55
Intelligent Systems, Technologies and ApplicationsProceedings of Sixth作者: 構成 時間: 2025-3-26 01:48
Conference proceedings 2021es and Applications (ISTA’20). All submissions were evaluated on the basis of their significance, novelty, and technical quality. This book consists of 28 papers (19 regular and 9 short papers) that were virtually presented at the Symposium. The papers cover different areas such as big data analytic作者: VOC 時間: 2025-3-26 08:19
2194-5357 ce resource for researchers and practitioners in academia an.This book offers to readers a selection of refereed papers that were presented at the Sixth International Symposium on Intelligent Systems Technologies and Applications (ISTA’20). All submissions were evaluated on the basis of their signif作者: –吃 時間: 2025-3-26 09:39 作者: Ascendancy 時間: 2025-3-26 13:00 作者: Uncultured 時間: 2025-3-26 16:52 作者: KIN 時間: 2025-3-26 21:19
Deep Neural Network Based Multi-class Arrhythmia Classification,ssification using MIT–BIH arrhythmia database. The network classifies the input ECG signals into six groups: normal heartbeat and five arrhythmia classes. The proposed model was found to be very promising with an accuracy of 99.45%.作者: 傲慢人 時間: 2025-3-27 02:48 作者: Infirm 時間: 2025-3-27 08:06
AI Approaches for IoT Security Analysis,y. For this, we present an overview of IoT protocols and potential security risks. We also report the techniques and the datasets used in the studied works, discuss the challenges of using ML, DL and FL for IoT cybersecurity and provide future insights.作者: Abrade 時間: 2025-3-27 10:30 作者: Madrigal 時間: 2025-3-27 15:34
Analyze and Visualize the Correlation Between Heart and Cancer Diseases Using Data Mining Technique and cancer diseases is given by testing the various data mining algorithms. The major aim of the work is to implement data mining techniques to cluster states of the USA on the basis of deaths due to heart and cancer disease and to find out the main cause of the death due to these diseases.作者: 酷熱 時間: 2025-3-27 18:17 作者: abreast 時間: 2025-3-27 22:19 作者: minion 時間: 2025-3-28 05:45 作者: 預感 時間: 2025-3-28 07:57
Conference proceedings 2021s, security and privacy, Internet of things, machine and deep learning, health informatics, visual computing, signal processing, and natural language processing. The book is directed to the researchers and scientists engaged in various fields of intelligent systems.?.作者: 光明正大 時間: 2025-3-28 10:57
978-981-16-0729-5The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor作者: OVERT 時間: 2025-3-28 15:25 作者: DAMN 時間: 2025-3-28 19:40 作者: ATRIA 時間: 2025-3-29 00:40
Marcin Paprzycki,Sabu M. Thampi,El-Sayed M. El-AlfPresents recent research in the field of intelligent systems.Discusses the outcomes of ISTA’2020, held in Chennai, India.Serves as a reference resource for researchers and practitioners in academia an作者: exquisite 時間: 2025-3-29 03:18 作者: 繁重 時間: 2025-3-29 07:34
,Probability of Loan Default—Applying Data Analytics to Financial Credit Risk Prediction,gital records of results of past credit applications (of all clients), it can be stipulated that machine learning techniques can be used in “credit decision support” systems.?There exists a substantial body of literature devoted to this subject. Moreover, benchmark datasets have been proposed, to es作者: ablate 時間: 2025-3-29 13:05 作者: 設施 時間: 2025-3-29 19:00
,ShExMap and IPSM-AF—Comparison of RDF Transformation Technologies,rewriting, and language transformation rely on the expressivity and flexibility of RDF.?As a meta-model capable of expressing information with the use of a variety of vocabularies or ontologies, RDF enables a range of solutions for the problem of data interoperability. Exploiting RDF for interoperab作者: 脊椎動物 時間: 2025-3-29 22:57
AI Approaches for IoT Security Analysis,l systems and as they potentially also open the access to other IT networks and infrastructures. Existing intrusion detection systems (IDS) and intrusion prevention systems (IPS) mostly concentrate on legacy IT networks. Nowadays, they come with a high degree of complexity and adaptivity, including 作者: abracadabra 時間: 2025-3-30 03:47
Hybrid Deep Neural Architecture for Detection of DDoS Attacks in Cloud Computing,potential solutions have been provided for the detection of attacks, but due to frequent change in attack vectors, a competent technique is essential for combating these new attacks. In this paper, we propose a hybrid method which uses deep neural network (DNN) model for distinguishing DDoS attacks 作者: 粗俗人 時間: 2025-3-30 04:54
MapReduce-Driven Rough Set Fuzzy Classification Rule Generation for Big Data Processing,days, the topic of data science and big data becomes of prominent interest in the present research. Big data applications can be accomplished through the MapReduce programming model because these are mostly concerning scalability. The MapReduce models are intended to categorize data into various gro作者: BRAWL 時間: 2025-3-30 11:02
Identifying Network Intrusion Using Enhanced Whale Optimization Algorithm,ecurity.?Limited capabilities of intrusion detection and prevention systems enormously reduced the detection rate. Optimizing the conflicting objectives is the best way to alleviate this security challenge. Population-based search techniques are deployed for optimization by selecting the best optima作者: plasma-cells 時間: 2025-3-30 14:07 作者: COKE 時間: 2025-3-30 19:00 作者: 恩惠 時間: 2025-3-30 21:58
IoT-Based Home Vertical Farming,t purposes, which in turn reduced the crop yield. Vertical farming is a type of farming method which cultivates crops using vertical structures and controlled environment which maximize the production and efficiency from minimum area.?The proposed system is cultivating in a carefully controlled envi作者: macular-edema 時間: 2025-3-31 02:29 作者: happiness 時間: 2025-3-31 08:35
Analyze and Visualize the Correlation Between Heart and Cancer Diseases Using Data Mining Techniqueconducting appropriate medical checkup. Due to the quality of present livelihood, it is essential to diagnose diseases in regular intervals through routine checkups and to have knowledge of how one disease can lead to another. There are different types of data mining techniques, which can be efficie作者: jettison 時間: 2025-3-31 10:31
A Hybrid Deep Learning Approach for Predicting the Spread of COVID-19,is increasing day by day and touched a total case count of around 11,000,000 and death count of 5 lakhs by July 2020. Along with other nations, India is also witnessing an exponential growth in the number of COVID cases. Providing proper treatment to infected patients seeks very close attention. The作者: Halfhearted 時間: 2025-3-31 13:38
Diabetes Prediction Using Machine Learning Techniques,er population. Annually it costs a lot of money for the cure and diagnosis of people suffering from Diabetes. The customary strategies for diagnosis are tedious. Therefore, accurate prediction and usage of reliable methods become the most important and top priority concern. Diabetes Type-1 is rare, 作者: opinionated 時間: 2025-3-31 17:34 作者: 精密 時間: 2025-3-31 22:12
