標題: Titlebook: Advances in Artificial-Business Analytics and Quantum Machine Learning; Select Proceedings o KC Santosh,Poonam Nandal,Hari Mohan Pandey Con [打印本頁] 作者: postpartum 時間: 2025-3-21 16:48
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書目名稱Advances in Artificial-Business Analytics and Quantum Machine Learning讀者反饋
書目名稱Advances in Artificial-Business Analytics and Quantum Machine Learning讀者反饋學(xué)科排名
作者: 隼鷹 時間: 2025-3-21 21:05
Click Fraud Detection Using Ensemble Classifier,linger distance-based decision tree (HDDT). The proposed model is evaluated over the dataset hosted by a Chinese company TalkingData available freely from Kaggle and has resulted in an accuracy of 99.72% as compared to the traditional decision tree.作者: 木質(zhì) 時間: 2025-3-22 02:03
,Deep Learning-Based Brain Tumor Segmentation—An Overview,ine the overall impact of each survey. In addition, this study discusses the deep learning-based methods with their respective classification/segmentation, features, pre-processing, and outcomes. Finally, this study not only examines the prior research but identifies potential future research direct作者: 小故事 時間: 2025-3-22 07:39
Brain Tumor Recognition Leveraging Machine Learning and CNN,ts of data such as MRI images to identify the presence of a tumor, its size, location, and type. To reduce the errors in images of the dataset, CNN classification is used. CNNs are superior to other traditional image analysis algorithms such as threshold or edge detection. To implement the proposed 作者: Defraud 時間: 2025-3-22 10:47 作者: 送秋波 時間: 2025-3-22 12:53
Design and Development of IoT-Based Crop Growth Monitoring and Maintenance System for Hydroponic Inion with ThingSpeak IoT open platform. It is useful for maintaining and controlling the units through remote access. The camera is used to measure plant growth and the presence of any pests or bugs. The designed system can maintain healthy plant growth with minimal user interference. Comparison is m作者: preeclampsia 時間: 2025-3-22 18:48
Enhancing Smart Grid Reliability Prediction Through Improved Deep Learning Approach,bles and equality difficulties in DSGC. By grid frequency analysis at each customer concept, the network administrator can determine the current network power balance and price energy offerings accordingly. The paper uses enhanced designs?to examine the DSGC system with?input values,?and restrictive作者: white-matter 時間: 2025-3-22 22:07 作者: 哎呦 時間: 2025-3-23 02:59 作者: 運氣 時間: 2025-3-23 08:35
Spatial Data Analytics for Regional Planning Using GIS and RS Technologies,ent levels of stake holders. Research work is carried out through a case study of Nalanda regional area using GIS technologies. Different land-use and land cover pattern are identified over the time and are superimposed on satellite images of that area to check the quality and accuracy of prediction作者: 多嘴 時間: 2025-3-23 10:25 作者: 高深莫測 時間: 2025-3-23 14:34
A Framework for Multi-technology Gateway Management Approach Based on Handover Decision for IoT,mal management of gateways is required to make sure better battery life, reduce overall cost, Scalability and maximize the efficiency of the network. This paper will provide the idea for placing the gateways in an optimal manner so that they can provide results in better way. In order to enhance the作者: 流動性 時間: 2025-3-23 20:29 作者: outrage 時間: 2025-3-24 02:12
,Extending Minimum Prediction Deviation as?a?Defence Against Adversarial Attacks,l. in AI 2022: advances in artificial intelligence: 35th Australasian joint conference, AI 2022, Springer, pp. 719–732, [.]). However, it was unknown if it would extend to other domains such as vision, malware, IDS, and non-binary classification tasks. In this work, we demonstrate that MPD can be us作者: GORGE 時間: 2025-3-24 06:18
Advances in Artificial-Business Analytics and Quantum Machine LearningSelect Proceedings o作者: 放大 時間: 2025-3-24 08:57 作者: Haphazard 時間: 2025-3-24 12:39
https://doi.org/10.1007/978-3-662-65126-1linger distance-based decision tree (HDDT). The proposed model is evaluated over the dataset hosted by a Chinese company TalkingData available freely from Kaggle and has resulted in an accuracy of 99.72% as compared to the traditional decision tree.作者: 最有利 時間: 2025-3-24 17:54
https://doi.org/10.1007/978-3-662-65126-1ine the overall impact of each survey. In addition, this study discusses the deep learning-based methods with their respective classification/segmentation, features, pre-processing, and outcomes. Finally, this study not only examines the prior research but identifies potential future research direct作者: Affluence 時間: 2025-3-24 19:23 作者: myalgia 時間: 2025-3-25 01:03 作者: Coterminous 時間: 2025-3-25 03:59 作者: Proclaim 時間: 2025-3-25 08:07
https://doi.org/10.1007/978-3-322-94910-3bles and equality difficulties in DSGC. By grid frequency analysis at each customer concept, the network administrator can determine the current network power balance and price energy offerings accordingly. The paper uses enhanced designs?to examine the DSGC system with?input values,?and restrictive作者: 抗體 時間: 2025-3-25 12:10
Fortgeschrittene Programmierkonzepte,beetles, bollworms, earthworms, grasshoppers, mites, mosquitoes, sawflies, and stem borer have successfully validated this study. The work implements the prior review paper (Harsha et al in Comparative analysis of smart pesticide recommendation system using ML/AI, IEEE, [.]).作者: Accomplish 時間: 2025-3-25 16:31 作者: 大方一點 時間: 2025-3-25 23:21 作者: 過份 時間: 2025-3-26 02:17 作者: ornithology 時間: 2025-3-26 06:52
,Gl?tten von Kurven und Fl?chen,mal management of gateways is required to make sure better battery life, reduce overall cost, Scalability and maximize the efficiency of the network. This paper will provide the idea for placing the gateways in an optimal manner so that they can provide results in better way. In order to enhance the作者: 預(yù)防注射 時間: 2025-3-26 11:46 作者: 沉默 時間: 2025-3-26 14:30 作者: 無能的人 時間: 2025-3-26 20:40 作者: multiply 時間: 2025-3-26 21:22 作者: 匍匐前進 時間: 2025-3-27 04:43 作者: 動作謎 時間: 2025-3-27 07:39
,Gl?tten von Kurven und Fl?chen,ty of the InceptionV3 model in detecting DR. This study sheds light on the potential of deep learning techniques, notably Inception V3, in the early identification and diagnosis of DR, allowing for earlier management and lowering the risk of vision loss in diabetic patients.作者: 鄙視 時間: 2025-3-27 12:15 作者: hallow 時間: 2025-3-27 14:18 作者: expdient 時間: 2025-3-27 20:09 作者: NUDGE 時間: 2025-3-28 00:00
https://doi.org/10.1007/978-3-642-40146-6tation. This segmentation is performed on computerized tomography (CT) images due to their high resolution levels. Furthermore, we discuss the various evaluation metrics and datasets involved in the segmentation of lung nodules.作者: 治愈 時間: 2025-3-28 03:10 作者: Substance-Abuse 時間: 2025-3-28 10:03
A Review on Deep Learning-Based Segmentation Techniques for Lung Nodules,tation. This segmentation is performed on computerized tomography (CT) images due to their high resolution levels. Furthermore, we discuss the various evaluation metrics and datasets involved in the segmentation of lung nodules.作者: Aphorism 時間: 2025-3-28 12:46 作者: Lacunar-Stroke 時間: 2025-3-28 18:03 作者: Delirium 時間: 2025-3-28 19:42 作者: 認識 時間: 2025-3-29 00:55
Conference proceedings 2024spectives, and Prospects” (Com-IT-Con 2023) held at the Manav Rachna University in July 2023. It covers the topics such as artificial intelligence and business analytics, virtual/augmented reality, quantum information systems, cybersecurity, data science, and machine learning. The book is useful for作者: 能量守恒 時間: 2025-3-29 06:31
A Comprehensive Survey on Fake Review Detection System with Future Directions,ws make the customer inclined to buy that product even if it is costlier than other products in the same category. However, many negative reviews make the customers wary of buying it. This gave birth to the fake review creation business. Companies buy fake reviews in bulk to downgrade their competit作者: GEON 時間: 2025-3-29 08:34
Click Fraud Detection Using Ensemble Classifier,ing sector. A content publisher signs an agreement to place advertisements on various websites in exchange for commissions on the basis of the amount of traffic these advertisements generate. It may sometimes motivate fraudulent publishers to produce unauthorized clicks on their websites in order to作者: Detain 時間: 2025-3-29 15:09
,Deep Learning-Based Brain Tumor Segmentation—An Overview,ing (MRI). Nowadays, deep learning (DL) algorithms have shown remarkable growth in addressing a range of computer vision problems like semantic segmentation, image classification, and object detection. Applying DL techniques to electronic health records can yield useful insights that can be used to 作者: Implicit 時間: 2025-3-29 18:22
An Efficient Image Caption Generation Using GoogLeNet,environment like humans do has major implications in robotic vision and commerce and in many fields. Throughout the study of artificial intelligence, this has been a difficult task. Image caption generator is a technique for determining the context of an image and generating a caption for it. The ex作者: 香料 時間: 2025-3-29 21:03
Brain Tumor Recognition Leveraging Machine Learning and CNN, Cells in the human brain essentially grow in a distorted manner, causing a brain tumor. A tumor in the brain is the harmful disease and can be analyzed by magnetic resonance imaging (MRI) images using automated techniques. Many machine learning (ML) methods for identifying and analyzing brain tumor作者: 使堅硬 時間: 2025-3-30 03:31
Comparative Analysis of Fake Comments Posted in Twitter Using Different Machine Learning Models,etc.) prepared for data dissemination that has never been seen in the mankind‘s set of experiences earlier. Customers are creating and exchanging more data than at any other time in recent memory thanks to the continued use of virtual entertainment platforms, some of which are delusional and have no作者: 毛細血管 時間: 2025-3-30 04:53 作者: CLAMP 時間: 2025-3-30 09:31 作者: FIR 時間: 2025-3-30 14:42
Analysis of Customer Transaction Along with Segmentation and Feedback Analysis,ng strategies and to gain a better understanding of customers backgrounds, needs, and preferences. This can be achieved by segmenting customers into different groups. In this research paper, a customer segmentation model is proposed that can be used by companies to develop marketing strategies. The 作者: 榨取 時間: 2025-3-30 19:02 作者: 咽下 時間: 2025-3-30 21:39
An Inferential Analysis of Customer Experience Transformation Through AR VR Immersive and Collaboraiences for their clients. By using AR/VR tools, designers can visualize and present their design concepts in a more compelling and realistic way. This technology has also helped to streamline the design process, making it easier for designers to collaborate with clients and other professionals invol作者: Acetaminophen 時間: 2025-3-31 01:03 作者: 弄污 時間: 2025-3-31 07:11 作者: 半導(dǎo)體 時間: 2025-3-31 09:13 作者: adroit 時間: 2025-3-31 15:23 作者: OGLE 時間: 2025-3-31 18:55
A Review on Deep Learning-Based Segmentation Techniques for Lung Nodules,ided diagnosis (CAD) systems are becoming a requirement for radiologists by reducing the time taken as well as the inter-observer variations to achieve this. Generally, the CAD systems for lung nodules include data collection followed by pre-processing, segmentation for pulmonary images, nodule dete作者: 不能強迫我 時間: 2025-4-1 01:01 作者: FLAX 時間: 2025-4-1 03:38
Role of ML in Cancer Prediction, tools in this field, machine-learning (ML) approaches use cutting-edge algorithms to analyze complex datasets and discover insightful patterns. The purpose of this study is to investigate how machine learning (ML) can be utilized for forecasting cancer and the way this may affect patient outcomes. 作者: Irritate 時間: 2025-4-1 08:58 作者: 槍支 時間: 2025-4-1 12:41 作者: Arthr- 時間: 2025-4-1 15:29
978-981-97-4862-4The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor作者: TERRA 時間: 2025-4-1 20:01
Advances in Artificial-Business Analytics and Quantum Machine Learning978-981-97-4860-0Series ISSN 2367-3370 Series E-ISSN 2367-3389 作者: notion 時間: 2025-4-1 23:42
https://doi.org/10.1007/978-3-662-56600-8ws make the customer inclined to buy that product even if it is costlier than other products in the same category. However, many negative reviews make the customers wary of buying it. This gave birth to the fake review creation business. Companies buy fake reviews in bulk to downgrade their competit
