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標(biāo)題: Titlebook: Artificial Intelligence: Theory and Applications; Proceedings of AITA Harish Sharma,Antorweep Chakravorty,Rajani Kumari Conference proceed [打印本頁(yè)]

作者: 五個(gè)    時(shí)間: 2025-3-21 19:10
書(shū)目名稱Artificial Intelligence: Theory and Applications影響因子(影響力)




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書(shū)目名稱Artificial Intelligence: Theory and Applications讀者反饋




書(shū)目名稱Artificial Intelligence: Theory and Applications讀者反饋學(xué)科排名





作者: 無(wú)可非議    時(shí)間: 2025-3-21 22:54

作者: Eructation    時(shí)間: 2025-3-22 02:04
Biogas Generation from Animal Waste: A Case Study of Village Wazirpur,es 334.8 to 428?m. biogas daily. This biogas is used as fuel for biogas genset, and the generation system is simulated in Homer in grid connected mode, giving 58,692?kWh energy annually. Net present cost and cost of energy are having negative values indicating the costs are recovered in project’s li
作者: 哀求    時(shí)間: 2025-3-22 08:31
Volume of Imbalance Container Prediction using Kalman Filter and Long Short-Term Memory,ner model ., . of Kalman filter which filters the noise out with container measurement . applying other forecasting models. Thus, a Kalman filter has been applied to improve the output of LSTM by correcting the noise of it. The prediction results of KALSTM demonstrate improved predictive performance
作者: 遺棄    時(shí)間: 2025-3-22 09:27
Agricultural Crop Yield Prediction for Indian Farmers Using Machine Learning,nd humidity, soil characteristics like macronutrients, soil type, topography, irrigation, and fertilizer management, all influence crop output. Remote and proximal sensing technologies are being used more often as a result of the requirement for timely and precise sensing of these inputs for big agr
作者: N防腐劑    時(shí)間: 2025-3-22 14:23
Application of Artificial Intelligence on Camera-Based Human Pose Prediction for Yoga: A Methodologich achieved the accuracy of 81.59% and compares to previous works. This study and research has been done on the data that is available publicly and has been sourced from online resources and references mentioned.
作者: Confidential    時(shí)間: 2025-3-22 17:57
Investigations on Deep Learning Pre-trained Model VGG-19 Using Transfer Learning for Remote Sensingnce in feature extraction using the VGG-19 deep learning model is achieved with the PatterNet dataset. The evaluation metrics indicate a precision of 92%, recall of 91%, F1 score of 90%, accuracy of 91% and a minimum validation loss of 0.3. These results highlight the effectiveness of the PatterNet
作者: cathartic    時(shí)間: 2025-3-23 01:14
Complexity Analysis of Legal Documents,e to understand them. Given that there are no specific ways for defining the complexity of legal documents, we performed human evaluation and achieved the best value for the recommended approaches with the assistance of legal experts.
作者: HATCH    時(shí)間: 2025-3-23 04:52
Review of Classification and Detection for Insects/Pests Using Machine Learning and Deep Learning A methods and detection methods based on parameters such as accuracy, F1 score, precision, and recall. A comprehensive survey, observations drawn from the existing research, and its analysis are presented in this paper. The survey will lead directions for future research.
作者: 相信    時(shí)間: 2025-3-23 08:56
Sentiment Analysis of Product Reviews Using Deep Learning and Transformer Models: A Comparative Studels to analyze product review sentiment. This paper presents a comparative investigation of different techniques used for sentiment analysis in product reviews to discover which AI-based technique works pre-eminent for review datasets.
作者: 匍匐前進(jìn)    時(shí)間: 2025-3-23 10:13
Effect of Variation in Pause Times Over MANET Routing Protocols, as the network adapts to changing conditions. The performance is analyzed over four QoS performance metrics: throughput, goodput, packet received, and received rate. The results show the performance of MANET routing protocols over different pause time, i.e., 0, 1, 2, 3, 4, 5?s. The results showed 2
作者: 性滿足    時(shí)間: 2025-3-23 15:31
DDCMR2: A Deep Detection and Classification Model with Resizing and Rescaling for Plant Disease,ain than other models. While training on the first epoch, the training time is longer for any low-level systems, however, training on the second epoch with the aid of cache and prefetch is acceptable and quicker.
作者: Femish    時(shí)間: 2025-3-23 19:44
Leveraging Natural Language Queries for Effective Video Analysis,veness of the proposed model, a comprehensive comparative analysis is presented, utilizing various performance measures on publicly available datasets. The experimental results conclusively demonstrate the superiority of the proposed model when compared to currently best-performing methods. By devel
作者: Cerebrovascular    時(shí)間: 2025-3-23 23:20

作者: 剛開(kāi)始    時(shí)間: 2025-3-24 05:12
Burnout als Zeichen einer Organisationskrisepproach has been proved for fake news detection tasks for an article dataset as well as a tweet dataset. This approach can be readily adapted for other learning tasks in social media where sufficient strong supervision is lacking.
作者: 精確    時(shí)間: 2025-3-24 08:58
T. Lampert,L. E. Kroll,S. Müters,M. Schumannes 334.8 to 428?m. biogas daily. This biogas is used as fuel for biogas genset, and the generation system is simulated in Homer in grid connected mode, giving 58,692?kWh energy annually. Net present cost and cost of energy are having negative values indicating the costs are recovered in project’s li
作者: 愉快嗎    時(shí)間: 2025-3-24 14:39
Soziale Ungleichheit, Arbeit und Gesundheitner model ., . of Kalman filter which filters the noise out with container measurement . applying other forecasting models. Thus, a Kalman filter has been applied to improve the output of LSTM by correcting the noise of it. The prediction results of KALSTM demonstrate improved predictive performance
作者: indenture    時(shí)間: 2025-3-24 17:40
Burnout als Zeichen einer Organisationskrisend humidity, soil characteristics like macronutrients, soil type, topography, irrigation, and fertilizer management, all influence crop output. Remote and proximal sensing technologies are being used more often as a result of the requirement for timely and precise sensing of these inputs for big agr
作者: companion    時(shí)間: 2025-3-24 20:57
Soziale Ungleichheit, Arbeit und Gesundheitich achieved the accuracy of 81.59% and compares to previous works. This study and research has been done on the data that is available publicly and has been sourced from online resources and references mentioned.
作者: 600    時(shí)間: 2025-3-25 00:11

作者: 保留    時(shí)間: 2025-3-25 05:49

作者: MORT    時(shí)間: 2025-3-25 09:07
Bernhard Badura,Antje Ducki,Markus Meyer methods and detection methods based on parameters such as accuracy, F1 score, precision, and recall. A comprehensive survey, observations drawn from the existing research, and its analysis are presented in this paper. The survey will lead directions for future research.
作者: 輕而薄    時(shí)間: 2025-3-25 15:41

作者: CREEK    時(shí)間: 2025-3-25 16:16

作者: 一大塊    時(shí)間: 2025-3-25 21:17

作者: Ganglion    時(shí)間: 2025-3-26 03:24
Henning Staar,Jochen Gurt,Monique Janneckveness of the proposed model, a comprehensive comparative analysis is presented, utilizing various performance measures on publicly available datasets. The experimental results conclusively demonstrate the superiority of the proposed model when compared to currently best-performing methods. By devel
作者: 終點(diǎn)    時(shí)間: 2025-3-26 04:50

作者: Occupation    時(shí)間: 2025-3-26 08:34
A. Waltersbacher,K. Zok,J. Klosetire text and framing it on its own. The findings of this study can help researchers and practitioners in the field of NLP to choose the most suitable text summarization method for their particular application.
作者: 角斗士    時(shí)間: 2025-3-26 14:31
Thomas Afflerbach,Katharina Gl?senerachine learning algorithms to predict if the post will go viral or not. This research paper also finds and verifies the key determinants that contribute to a tweet’s success. This paper also concludes with the most appropriate machine learning model for predicting the Virality of a tweet.
作者: Parley    時(shí)間: 2025-3-26 17:59

作者: 搖擺    時(shí)間: 2025-3-26 21:16
Predicting Virality of Tweets Using ML Algorithms and Analyzing Key Determinants of Viral Tweets,achine learning algorithms to predict if the post will go viral or not. This research paper also finds and verifies the key determinants that contribute to a tweet’s success. This paper also concludes with the most appropriate machine learning model for predicting the Virality of a tweet.
作者: mitral-valve    時(shí)間: 2025-3-27 04:01
Soziale Ungleichheit, Arbeit und Gesundheite. Furthermore, we show that our method is robust to concept drift and can adapt to evolving botnet behaviors. Overall, our work contributes to the advancement of machine learning-based botnet detection and provides a reliable tool for safeguarding network systems against botnet threats.
作者: 生銹    時(shí)間: 2025-3-27 05:55
O. Hasselmann,B. Schauerte,J. Schr?derTM), a deep learning algorithm which focuses on Recurrent Neural Networks (RNNs) and is a black box approach that is apt for predicting stock prices. The paper evaluates the performance of the proposed model and aims to explain the complexity of the system and the need to move towards grey box approach for better comprehension.
作者: Eulogy    時(shí)間: 2025-3-27 13:14
Soziale Ungleichheit, Arbeit und Gesundheitn machine learning models. Findings revealed that the decision tree algorithm had the highest performance, with the lowest mean absolute error (MSE) value of 0.1637 and the lowest root mean squared error (RMSE) value of 0.2158.
作者: 解凍    時(shí)間: 2025-3-27 13:55
Bernhard Badura,Antje Ducki,Markus Meyerlearning algorithms and to find and study the various features and align them in the best way possible. The paper also aims to perform feature engineering and motivate people to take care of themselves.
作者: Fatten    時(shí)間: 2025-3-27 21:03
,Kernel Methods for?Conformal Prediction to?Detect Botnets,e. Furthermore, we show that our method is robust to concept drift and can adapt to evolving botnet behaviors. Overall, our work contributes to the advancement of machine learning-based botnet detection and provides a reliable tool for safeguarding network systems against botnet threats.
作者: Cloudburst    時(shí)間: 2025-3-28 00:29

作者: 現(xiàn)任者    時(shí)間: 2025-3-28 05:47
Predicting of Credit Risk Using Machine Learning Algorithms,n machine learning models. Findings revealed that the decision tree algorithm had the highest performance, with the lowest mean absolute error (MSE) value of 0.1637 and the lowest root mean squared error (RMSE) value of 0.2158.
作者: Needlework    時(shí)間: 2025-3-28 06:25

作者: 浪蕩子    時(shí)間: 2025-3-28 12:05
2367-3370 aluru, India.Serves as a reference resource for researchers .This book features a collection of high-quality research papers presented at International Conference on Artificial Intelligence: Theory and Applications (AITA 2023), held during 11–12 August 2023 in Bengaluru, India. The book is divided i
作者: Condescending    時(shí)間: 2025-3-28 14:36

作者: 不如屎殼郎    時(shí)間: 2025-3-28 18:51

作者: 冰雹    時(shí)間: 2025-3-29 00:38
Co-GA: A Bio-inspired Semi-supervised Framework for Fake News Detection on Scarcely Labeled Data,ake news detection methodology. One of the key challenges faced by researchers is the lack of sufficient labeled data making semi-supervised learning increasingly important for social media data. Non-latent content features differ in fake and real news but at the same time suffer from the high-dimen
作者: FLAT    時(shí)間: 2025-3-29 03:56
,Kernel Methods for?Conformal Prediction to?Detect Botnets,s a critical task in cybersecurity, and machine learning techniques have been widely employed for this purpose. In this paper, we present a novel approach for botnet detection based on kernel methods and conformal prediction. Our method leverages the power of kernel functions to capture complex patt
作者: AIL    時(shí)間: 2025-3-29 07:19

作者: Hyperlipidemia    時(shí)間: 2025-3-29 14:03

作者: nettle    時(shí)間: 2025-3-29 18:24

作者: 時(shí)代錯(cuò)誤    時(shí)間: 2025-3-29 21:39

作者: 神刊    時(shí)間: 2025-3-30 02:03

作者: parallelism    時(shí)間: 2025-3-30 04:11
Predicting of Credit Risk Using Machine Learning Algorithms, more rigid forecasting models with strong mapping abilities, credit risk prediction has become challenging for the banking industry. Therefore, this paper attempts to predict commercial banks’ credit risk (CR) by using various machine learning algorithms. Machine learning algorithms, namely linear
作者: 大氣層    時(shí)間: 2025-3-30 09:49

作者: Conduit    時(shí)間: 2025-3-30 13:54
Investigations on Deep Learning Pre-trained Model VGG-19 Using Transfer Learning for Remote Sensingcomparing the features of a query image with the features of images in the archives. Extracting the most relevant features from both the query image and the archive images is crucial. Image classification serves as a fundamental step in this process. Features are extracted to enable further processi
作者: BALE    時(shí)間: 2025-3-30 18:13
Complexity Analysis of Legal Documents,ow a specific legal convention. For a legal practitioner, they require documents, mainly judgements, for the proceedings in their client’s case. We evaluated the approach of Named Entity Recognition on a large corpus of legal judgements and found 14 entities, such as case number, name of judge, name
作者: 一條卷發(fā)    時(shí)間: 2025-3-30 23:35

作者: modest    時(shí)間: 2025-3-31 02:02
Review of Classification and Detection for Insects/Pests Using Machine Learning and Deep Learning A get severely damaged. As a result, the country’s economy is at risk. Thus, developing an intelligent system that will help farmers identify insects/pests has become necessary. The aim is to present efforts taken for pest classification and pest detection. This paper aims to find missing links in th
作者: 彎彎曲曲    時(shí)間: 2025-3-31 05:30
Sentiment Analysis of Product Reviews Using Deep Learning and Transformer Models: A Comparative Stus on social media on different platforms. In the age of AI, it becomes necessary to understand the sentiments from peoples’ opinions, feedback, and interactions. Sentiment analysis has recently drawn a lot of attention. Sentiment analysis has been extensively used and applied in a range of domains,
作者: 遭遇    時(shí)間: 2025-3-31 13:08

作者: patriot    時(shí)間: 2025-3-31 13:52

作者: 免除責(zé)任    時(shí)間: 2025-3-31 20:59
Leveraging Natural Language Queries for Effective Video Analysis,ion of these two tasks has only recently gained attention, and the challenge of addressing dynamic background changes in videos remains largely unexplored. Additionally, efficiently retrieving relevant videos from vast collections poses a significant hurdle, despite some proposed solutions in the li
作者: Carcinoma    時(shí)間: 2025-4-1 00:04

作者: 手工藝品    時(shí)間: 2025-4-1 04:57
https://doi.org/10.1007/978-981-99-8476-3Models and Algorithms; Artificial Intelligence; Data Science Challenges; Machine Learning; Data Mining; A
作者: esculent    時(shí)間: 2025-4-1 09:31
978-981-99-8475-6The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
作者: 使困惑    時(shí)間: 2025-4-1 11:22

作者: 憤慨一下    時(shí)間: 2025-4-1 16:05
Burnout als Zeichen einer Organisationskriseake news detection methodology. One of the key challenges faced by researchers is the lack of sufficient labeled data making semi-supervised learning increasingly important for social media data. Non-latent content features differ in fake and real news but at the same time suffer from the high-dimen
作者: 大雨    時(shí)間: 2025-4-1 21:29

作者: Pandemic    時(shí)間: 2025-4-2 02:09
T. Lampert,L. E. Kroll,S. Müters,M. Schumannrces. Animal waste is one such renewable resource which can be used for producing biogas by the process of anaerobic digestion. Several factors like temperature, pH value, moisture content, etc. affect biogas production. This paper proposes a biogas-producing system in village Wazirpur situated in D




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