標(biāo)題: Titlebook: Advances in Artificial Intelligence and Machine Learning in Big Data Processing; First International R. Geetha,Nhu-Ngoc Dao,Saeed Khalid C [打印本頁] 作者: Recovery 時(shí)間: 2025-3-21 19:30
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書目名稱Advances in Artificial Intelligence and Machine Learning in Big Data Processing影響因子(影響力)學(xué)科排名
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書目名稱Advances in Artificial Intelligence and Machine Learning in Big Data Processing網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Advances in Artificial Intelligence and Machine Learning in Big Data Processing被引頻次
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書目名稱Advances in Artificial Intelligence and Machine Learning in Big Data Processing讀者反饋
書目名稱Advances in Artificial Intelligence and Machine Learning in Big Data Processing讀者反饋學(xué)科排名
作者: 哀求 時(shí)間: 2025-3-21 20:55 作者: 偽造 時(shí)間: 2025-3-22 02:27
Research Output on Artificial Intelligence in India: A Scientometric Studyores the features of research publications of India for ten years, from 2013 to 2022, in the field of Artificial Intelligence. It was carried out on a bibliographic database with Clarivate’s Web of Science. It contains the Science Citation Index-Expanded (SCIE), Conference proceedings, the Social Sc作者: Irritate 時(shí)間: 2025-3-22 06:16 作者: obstruct 時(shí)間: 2025-3-22 12:21
A Review of an Automated Model for Sexist Language Detection and Replacement of Sexist Termsdia platforms. Particularly sexism and gender-based harassment have risen to frightening heights, increasing the number of people worldwide who experience or witness online abuse. Such offensive content frequently contains extremely vulgar and disparaging language, which causes great injury and dist作者: Simulate 時(shí)間: 2025-3-22 14:41
Detection of DoS Attack Using Machine Learning in Software Defined Networkre that SDN controllers may undergo certain defeat for the network structure, particularly as they are targeted by attacks like Denial of Service (DoS) attacks. Due to this network traffic has increased tremendously and attacked the server severely. To handle this issue, we used the RYU controller a作者: 果核 時(shí)間: 2025-3-22 17:47 作者: Aggregate 時(shí)間: 2025-3-22 22:13
An Enhanced Artificial Neural Network Mode for Type 2 Diabetes Classification Using SMOTE and SMOTE-ivity produces problems that are linked to an individual’s day-to-day life choices. If an individual’s daily habits are poor, it might lead to chronic noncommunicable diseases. Diabetes is a chronic noncommunicable disease that exposes people at risk. So, early diabetes prediction model can help to 作者: Oversee 時(shí)間: 2025-3-23 03:54 作者: incredulity 時(shí)間: 2025-3-23 07:16 作者: Sarcoma 時(shí)間: 2025-3-23 12:07 作者: 不透明性 時(shí)間: 2025-3-23 16:32
Vehicle Insurance Claim Predictioning more common, and in insurance companies, the amount of claim data is rising. Therefore, during the claim re-view procedure, it could be challenging to ascertain the insured claim status. Consequently, the target of the review was to foster an AI model that sorts and conjectures the recurrence of作者: inchoate 時(shí)間: 2025-3-23 20:58
Ensemble Learning Models for Detecting Spam Over Social Networks Using RFEs of users utilizing them on a daily basis. While they have emerged as a means of disseminating information, they have also quickly transformed into a conduit for spreading false information, rumors, unsolicited messages, promotional content, fabricated news, and other undesirable content. Both spam作者: aesthetician 時(shí)間: 2025-3-23 22:22 作者: oxidize 時(shí)間: 2025-3-24 03:30
Online Network Intrusion Detection System for IOT Structure Using Machine Learning Techniques this study, we propose a novel Machine Learning-based Online Network Intrusion Detection System (NIDS) specifically tailored for IoT architecture. Our approach harnesses the potential of advanced Machine Learning algorithms to overcome the limitations of conventional NIDS solutions. The primary obj作者: lymphoma 時(shí)間: 2025-3-24 09:40
An Analysis of Machine Learning Tools and Algorithmsilarity measures falls into two main areas of machine learning namely supervised learning and Unsupervised Learning. Machine learning algorithms deals with the data and datasets. The main difference between the supervised and unsupervised learning is to predict the labelled and unlabeled data.作者: ORBIT 時(shí)間: 2025-3-24 13:57
Ensemble Learning-Based Android Malware Detectionger current lines using unexpectedly cutting-edge detection evasion strategies. Options for timely 0-day detection are necessary as standard signature-based approaches become less effective in detecting unknown threats. This study contributes a strategy based on ensemble learning for detecting malic作者: Cubicle 時(shí)間: 2025-3-24 17:50
Conference proceedings 2025om 183 submissions. They were organized in the following topical sections:?..Part I- artificial intelligence and data analytics; deep learning...Part II- artificial intelligence and data analytics; machine learning..作者: Instinctive 時(shí)間: 2025-3-24 19:14
1865-0929 elected from 183 submissions. They were organized in the following topical sections:?..Part I- artificial intelligence and data analytics; deep learning...Part II- artificial intelligence and data analytics; machine learning..978-3-031-73067-2978-3-031-73068-9Series ISSN 1865-0929 Series E-ISSN 1865-0937 作者: 創(chuàng)造性 時(shí)間: 2025-3-25 01:38
,Radioaktivit?t und Kernreaktionen,f computer vision technology and object detection methods combined with the ability of OpenCV to analyze and interpret hand gestures holds an opportunity to revolutionize interaction for hard-of-hearing people, increasing their access to information, education, and work possibilities.作者: Aviary 時(shí)間: 2025-3-25 03:41
Spezielle Arzneiverordnungslehre, collision protection claims. The preprocessed data was used to create testing and training sets. Using Random Forest (RF) to create the prediction model, it was then evaluated for accuracy, meticulousness, reminiscence, and F-measure. Moreover, the automobile coverage provider makes decisions based on the claim status.作者: 山崩 時(shí)間: 2025-3-25 11:15
,Radioaktivit?t und Kernreaktionen,ng techniques were used to identify the DoS attack, and the traffic which is causing the attack has been dropped immediately to avoid congestion. The proposed work has been simulated in Mininet and the results show that the proposed work detects DoS attacks well and achieves good accuracy.作者: LUCY 時(shí)間: 2025-3-25 14:24 作者: 忙碌 時(shí)間: 2025-3-25 17:11
,Radioaktivit?t und Kernreaktionen,f explainable and very minimum. It takes voice as input. The system is being designed in such a way that all the services provided by the mobile devices are accessible by the end user on the user’s voice command. It will be adding extra features to the existing voice assistant作者: 懲罰 時(shí)間: 2025-3-25 21:19
AI Voice Assistant Using Pythonf explainable and very minimum. It takes voice as input. The system is being designed in such a way that all the services provided by the mobile devices are accessible by the end user on the user’s voice command. It will be adding extra features to the existing voice assistant作者: Obedient 時(shí)間: 2025-3-26 03:35
1865-0929 ing in Big Data Processing, AAIMB 2023, held in Chennai, India, during August 17–18, 2023...The 51 full papers presented were carefully reviewed and selected from 183 submissions. They were organized in the following topical sections:?..Part I- artificial intelligence and data analytics; deep learni作者: 偏見 時(shí)間: 2025-3-26 04:33
Analyzing Hand Gestures Using Object Detection and Processing It into Local Languagef computer vision technology and object detection methods combined with the ability of OpenCV to analyze and interpret hand gestures holds an opportunity to revolutionize interaction for hard-of-hearing people, increasing their access to information, education, and work possibilities.作者: Decongestant 時(shí)間: 2025-3-26 11:26
Vehicle Insurance Claim Prediction collision protection claims. The preprocessed data was used to create testing and training sets. Using Random Forest (RF) to create the prediction model, it was then evaluated for accuracy, meticulousness, reminiscence, and F-measure. Moreover, the automobile coverage provider makes decisions based on the claim status.作者: Congeal 時(shí)間: 2025-3-26 13:23
Conference proceedings 2025 Data Processing, AAIMB 2023, held in Chennai, India, during August 17–18, 2023...The 51 full papers presented were carefully reviewed and selected from 183 submissions. They were organized in the following topical sections:?..Part I- artificial intelligence and data analytics; deep learning...Part 作者: 大方不好 時(shí)間: 2025-3-26 19:43 作者: 漂泊 時(shí)間: 2025-3-26 23:43
,Radioaktivit?t und Kernreaktionen, will answer with the weather report for that day and location. They could ask about a joke, and the assistant will jump into a tale. The user could even ask to play music and song will be played. Voice assistants are so easy to use that many people forget to stop and wonder how they work. Voice ass作者: 大看臺(tái) 時(shí)間: 2025-3-27 04:40
,Radioaktivit?t und Kernreaktionen,ores the features of research publications of India for ten years, from 2013 to 2022, in the field of Artificial Intelligence. It was carried out on a bibliographic database with Clarivate’s Web of Science. It contains the Science Citation Index-Expanded (SCIE), Conference proceedings, the Social Sc作者: Amendment 時(shí)間: 2025-3-27 08:59 作者: 預(yù)知 時(shí)間: 2025-3-27 11:30 作者: sundowning 時(shí)間: 2025-3-27 15:57 作者: lambaste 時(shí)間: 2025-3-27 19:42
https://doi.org/10.1007/978-3-0348-5024-7trength relates to its influencing factors such as the quality and proportions of the binding materials, aggregates, water and admixtures. This paper proposes to use machine learning aided approach to predict concrete compressive strength which is required for construction applications determined on作者: drusen 時(shí)間: 2025-3-27 22:00
,L?sungen zu den übungsbeispielen,ivity produces problems that are linked to an individual’s day-to-day life choices. If an individual’s daily habits are poor, it might lead to chronic noncommunicable diseases. Diabetes is a chronic noncommunicable disease that exposes people at risk. So, early diabetes prediction model can help to 作者: 浪蕩子 時(shí)間: 2025-3-28 05:33 作者: lesion 時(shí)間: 2025-3-28 06:59
Paul Trendelenburg,Ludwig Lendleh kidney is composed of several filtrating units called Nephrons. It is difficult to predict renal failure at an early stage because there are no specific symptoms. This can have long-term consequences for the patient’s health and even result in death. People who have type 2 diabetes or high blood p作者: left-ventricle 時(shí)間: 2025-3-28 13:02
Spezielle Arzneiverordnungslehre,lysis focuses on quantifying the polarity of sentiment, this study proposes a novel method for extracting latent features and values from restaurant reviews. The proposed method makes use of a corpus of words containing meticulously annotated data about restaurants and employs a two-way approach tha作者: Adj異類的 時(shí)間: 2025-3-28 16:24
Spezielle Arzneiverordnungslehre,ing more common, and in insurance companies, the amount of claim data is rising. Therefore, during the claim re-view procedure, it could be challenging to ascertain the insured claim status. Consequently, the target of the review was to foster an AI model that sorts and conjectures the recurrence of作者: Pert敏捷 時(shí)間: 2025-3-28 22:36
https://doi.org/10.1007/978-3-662-55310-7s of users utilizing them on a daily basis. While they have emerged as a means of disseminating information, they have also quickly transformed into a conduit for spreading false information, rumors, unsolicited messages, promotional content, fabricated news, and other undesirable content. Both spam作者: 顯赫的人 時(shí)間: 2025-3-28 23:29
https://doi.org/10.1007/978-3-662-55310-7 pigment, are the source of melanoma, a kind of skin cancer. Both the incidence and mortality rates of melanoma have sharply increased in recent years. The ailment that attracted a variety of studies can be treated more effectively by medical professionals with early identification. This article foc作者: 巨大沒有 時(shí)間: 2025-3-29 03:51 作者: 凈禮 時(shí)間: 2025-3-29 09:42 作者: 文藝 時(shí)間: 2025-3-29 12:09
Grundlagen der anorganischen Chemieger current lines using unexpectedly cutting-edge detection evasion strategies. Options for timely 0-day detection are necessary as standard signature-based approaches become less effective in detecting unknown threats. This study contributes a strategy based on ensemble learning for detecting malic作者: 提名 時(shí)間: 2025-3-29 16:51
Advances in Artificial Intelligence and Machine Learning in Big Data Processing978-3-031-73068-9Series ISSN 1865-0929 Series E-ISSN 1865-0937 作者: Acetaldehyde 時(shí)間: 2025-3-29 21:09
Grundlagen der anorganischen Chemieilarity measures falls into two main areas of machine learning namely supervised learning and Unsupervised Learning. Machine learning algorithms deals with the data and datasets. The main difference between the supervised and unsupervised learning is to predict the labelled and unlabeled data.作者: 百科全書 時(shí)間: 2025-3-30 03:05 作者: 預(yù)感 時(shí)間: 2025-3-30 05:24
Communications in Computer and Information Sciencehttp://image.papertrans.cn/b/image/167211.jpg作者: 引起 時(shí)間: 2025-3-30 09:21 作者: Absenteeism 時(shí)間: 2025-3-30 14:58
978-3-031-73067-2The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: 男生如果明白 時(shí)間: 2025-3-30 19:34
Advances in Artificial Intelligence and Machine Learning in Big Data ProcessingFirst International 作者: ticlopidine 時(shí)間: 2025-3-31 00:09 作者: 燦爛 時(shí)間: 2025-3-31 02:54 作者: 大廳 時(shí)間: 2025-3-31 07:41
