Applications of machine learning in knowledge management system: a comprehensive review
As new generations of technology appear, legacy knowledge management solutions and
applications become increasingly out of date, necessitating a paradigm shift. Machine …
applications become increasingly out of date, necessitating a paradigm shift. Machine …
[HTML][HTML] A novel deep learning technique for detecting emotional impact in online education
Emotional intelligence is the automatic detection of human emotions using various
intelligent methods. Several studies have been conducted on emotional intelligence, and …
intelligent methods. Several studies have been conducted on emotional intelligence, and …
A novel machine learning and face recognition technique for fake accounts detection system on cyber social networks
Abstract Online Social Networks (OSN) such as Facebook, Instagram, Twitter, and others
have seen rapid growth in recent years. Such applications provide attractive online social …
have seen rapid growth in recent years. Such applications provide attractive online social …
[PDF][PDF] Effective Hybrid Content-Based Collaborative Filtering Approach for Requirements Engineering.
Requirements engineering (RE) is among the most valuable and critical processes in
software development. The quality of this process significantly affects the success of a …
software development. The quality of this process significantly affects the success of a …
Data fusion in autonomous vehicles research, literature tracing from imaginary idea to smart surrounding community
S AlZu'bi, Y Jararweh - … Conference on Fog and Mobile Edge …, 2020 - ieeexplore.ieee.org
Many significant challenges related to transportation systems have been raised recently,
these include the high accidents rate, road congestion, emission of gases, and environment …
these include the high accidents rate, road congestion, emission of gases, and environment …
[PDF][PDF] Sustainable Development: A Semantics-aware Trends for Movies Recommendation System using Modern NLP.
Recommendation systems are an important feature in the proposed virtual life, where users
are often stuck with choices most of the time and need help to be able to find what they are …
are often stuck with choices most of the time and need help to be able to find what they are …
Toward a knowledge-based personalised recommender system for mobile app development
Over the last few years, the arena of mobile application development has expanded
considerably beyond the balance of the world\'s software markets. With the growing number …
considerably beyond the balance of the world\'s software markets. With the growing number …
An efficient cold start solution for recommender systems based on machine learning and user interests
Recommender Systems are used to provide suggestions to users based on their interests.
One of the well-known problems in recommender systems is the cold start problem, which …
One of the well-known problems in recommender systems is the cold start problem, which …
[PDF][PDF] The butterfly effect in the price of agricultural products: A multidimensional spatial-temporal association mining.
Y Guo, X Hu, Z Wang, W Tang… - Agricultural …, 2021 - agricecon.agriculturejournals.cz
With the advent of the era of big data, data mining methods show their powerful information
mining ability in various fields, seeking the association information hidden in the data, which …
mining ability in various fields, seeking the association information hidden in the data, which …
A Novel Approach to Elicit Software Requirements for IoT Systems Using SVM Classifier
Internet of Things (IoT) is one of the most growing technologies that embedded in most
application systems in our life. IoT aimed to solve real world problems in different …
application systems in our life. IoT aimed to solve real world problems in different …