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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書目名稱Advances in Artificial-Business Analytics and Quantum Machine Learning影響因子(影響力)學科排名




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書目名稱Advances in Artificial-Business Analytics and Quantum Machine Learning被引頻次




書目名稱Advances in Artificial-Business Analytics and Quantum Machine Learning被引頻次學科排名




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書目名稱Advances in Artificial-Business Analytics and Quantum Machine Learning年度引用學科排名




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書目名稱Advances in Artificial-Business Analytics and Quantum Machine Learning讀者反饋學科排名

隼鷹

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.

木質(zhì)

,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

小故事

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

Defraud

送秋波

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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哎呦

運氣

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