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Sustainable digital marketing under big data: an AI random forest model approach
Digital marketing refers to the process of promoting, selling, and delivering products or
services through online platforms and channels using the internet and electronic devices in …
services through online platforms and channels using the internet and electronic devices in …
Instantaneous CO2 emission modelling for a Euro 6 start-stop vehicle based on portable emission measurement system data and artificial intelligence methods
One of the increasingly common methods to counteract the increased fuel consumption of
vehicles is start-stop technology. This paper introduces a methodology which presents the …
vehicles is start-stop technology. This paper introduces a methodology which presents the …
[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 …
Deep Learning Ensemble Model for the Prediction of Traffic Accidents Using Social Media Data.
We develop an enhanced accident occurrence prediction model which depends on the
heterogeneous ensemble learning to tackle the topic of a accident period prediction in the …
heterogeneous ensemble learning to tackle the topic of a accident period prediction in the …
Coronary heart disease prediction using GKFCM with RNN
For humans, coronary heart disease is the number one killer. A coronary angiogram is the
most common method for identifying coronary heart disease. The patient risks experiencing …
most common method for identifying coronary heart disease. The patient risks experiencing …
Socio-Emotional Skills For The Reduction Of Social Anxiety In University Students.
The objective of the research was to establish the influence of socio-emotional skills for the
reduction of social anxiety in university students. Quantitative methodology was used to …
reduction of social anxiety in university students. Quantitative methodology was used to …