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Titlebook: Advances in Artificial-Business Analytics and Quantum Machine Learning; Select Proceedings o KC Santosh,Poonam Nandal,Hari Mohan Pandey Con

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发表于 2025-3-21 16:48:54 | 显示全部楼层 |阅读模式
期刊全称Advances in Artificial-Business Analytics and Quantum Machine Learning
期刊简称Select Proceedings o
影响因子2023KC Santosh,Poonam Nandal,Hari Mohan Pandey
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发行地址Includes selected papers from the 3rd International Conference on COM-IT-CON 2023.Highlights trends, perspectives, and prospects in cloud and parallel computing.Discusses applications of new, emerging
学科分类Lecture Notes in Networks and Systems
图书封面Titlebook: Advances in Artificial-Business Analytics and Quantum Machine Learning; Select Proceedings o KC Santosh,Poonam Nandal,Hari Mohan Pandey Con
影响因子.The book presents select proceedings of the 3rd International Conference on “Artificial-Business Analytics, Quantum and Machine Learning: Trends, Perspectives, 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 researchers and professionals interested in the broad field of artificial intelligence engineering... .
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发表于 2025-3-21 21:05:49 | 显示全部楼层
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.
发表于 2025-3-22 02:03:57 | 显示全部楼层
,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
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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
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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
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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
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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
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