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Social network user profiling with multilayer semantic modeling using ego network
Social and information networks undermine the real relationship between the individuals
(ego) and the friends (alters) they are connected with on social media. The structure of …
(ego) and the friends (alters) they are connected with on social media. The structure of …
Artificial Intelligence and machine learning in drug discovery and development
Drug discovery has undergone significant changes over the past decade thanks to artificial
intelligence (AI). To improve the efficiency and precision of medication research and …
intelligence (AI). To improve the efficiency and precision of medication research and …
A deep learning based expert framework for portfolio prediction and forecasting
Stock market forecasting involves predicting fluctuations and trends in the value of financial
assets, utilizing statistical and machine learning models to analyze historical market data for …
assets, utilizing statistical and machine learning models to analyze historical market data for …
[PDF][PDF] Enhanced machine learning algorithms lightweight ensemble classification of normal versus Leukemic cel
Leukemia is type of cancer in blood which impacts the lymphatic framework and the bone
marrow and also impacts white blood cells. Leukemia, in contrast to other types of cancer …
marrow and also impacts white blood cells. Leukemia, in contrast to other types of cancer …
[PDF][PDF] Quantum cryptography in Convolution neural network approach in Smart cities
Quantum cryptography is a field that has achieved ample of attraction in lately to the
increasing need for secure communication in various applications. Smart cities are one such …
increasing need for secure communication in various applications. Smart cities are one such …
An Efficient Approach for Object Detection using Deep Learning.
Object identification is more significant application in Deep learning innovation which is
recognized by areas of strength for its element learning and component portrayal contrasted …
recognized by areas of strength for its element learning and component portrayal contrasted …
Deep Neural Network for Image Recognition In Medical Diagnosis.
Classification of medical images is a crucial aspect of clinical therapy and education.
However, the performance of the conventional approach has reached its limit. In addition …
However, the performance of the conventional approach has reached its limit. In addition …
[PDF][PDF] Cryptosystem in artificial neural network in Internet of Medical Things in Unmanned Aerial Vehicle
Abstract The Internet of Medical Things (IoMT) has revolutionized the healthcare industry by
providing remote patient monitoring and real-time data analysis. Unmanned Aerial Vehicles …
providing remote patient monitoring and real-time data analysis. Unmanned Aerial Vehicles …
Enhancing heart disease classification with M2MASC and CNN-BiLSTM integration for improved accuracy
Heart disease is a leading cause of death globally; therefore, accurate detection and
classification are prominent, and several DL and ML methods have been developed over …
classification are prominent, and several DL and ML methods have been developed over …
Machine Learning in Business Management using Customer Behavior Analysis Using 6G Technology.
The point of every venture is to accomplish big time salary from the business and to stay in a
raised spot from their adversaries. To report major association, pay and raised place from …
raised spot from their adversaries. To report major association, pay and raised place from …