Brain tumor segmentation of MRI images: A comprehensive review on the application of artificial intelligence tools
Background Brain cancer is a destructive and life-threatening disease that imposes
immense negative effects on patients' lives. Therefore, the detection of brain tumors at an …
immense negative effects on patients' lives. Therefore, the detection of brain tumors at an …
Fuzzy C-Means clustering algorithm for data with unequal cluster sizes and contaminated with noise and outliers: Review and development
S Askari - Expert Systems with Applications, 2021 - Elsevier
Clustering algorithms aim at finding dense regions of data based on similarities and
dissimilarities of data points. Noise and outliers contribute to the computational procedure of …
dissimilarities of data points. Noise and outliers contribute to the computational procedure of …
Big data with cloud computing: Discussions and challenges
AK Sandhu - Big Data Mining and Analytics, 2021 - ieeexplore.ieee.org
With the recent advancements in computer technologies, the amount of data available is
increasing day by day. However, excessive amounts of data create great challenges for …
increasing day by day. However, excessive amounts of data create great challenges for …
A unified form of fuzzy C-means and K-means algorithms and its partitional implementation
This paper proposes as an element of novelty the Unified Form (UF) clustering algorithm,
which treats Fuzzy C-Means (FCM) and K-Means (KM) algorithms as a single configurable …
which treats Fuzzy C-Means (FCM) and K-Means (KM) algorithms as a single configurable …
A fuzzy C-means algorithm for optimizing data clustering
Big data has increasingly become predominant in many research fields affecting human
knowledge, including medicine and engineering. Cluster analysis, or clustering, is widely …
knowledge, including medicine and engineering. Cluster analysis, or clustering, is widely …
Performance analysis of IoT-based sensor, big data processing, and machine learning model for real-time monitoring system in automotive manufacturing
With the increase in the amount of data captured during the manufacturing process,
monitoring systems are becoming important factors in decision making for management …
monitoring systems are becoming important factors in decision making for management …
Big data analytics in E-commerce: a systematic review and agenda for future research
S Akter, SF Wamba - Electronic Markets, 2016 - Springer
There has been an increasing emphasis on big data analytics (BDA) in e-commerce in
recent years. However, it remains poorly-explored as a concept, which obstructs its …
recent years. However, it remains poorly-explored as a concept, which obstructs its …
How 'big data'can make big impact: Findings from a systematic review and a longitudinal case study
Big data has the potential to revolutionize the art of management. Despite the high
operational and strategic impacts, there is a paucity of empirical research to assess the …
operational and strategic impacts, there is a paucity of empirical research to assess the …
A systematic review of big data-based urban sustainability research: State-of-the-science and future directions
The future of humanity depends increasingly on the performance of cities. Big data provide
new and powerful ways of studying and improving coupled urban environmental, social, and …
new and powerful ways of studying and improving coupled urban environmental, social, and …
Fuzzy clustering: A historical perspective
EH Ruspini, JC Bezdek… - IEEE Computational …, 2019 - ieeexplore.ieee.org
Fuzzy sets emerged in 1965 in a paper by Lotfi Zadeh. In 1969 Ruspini published a seminal
paper that has become the basis of most fuzzy clustering algorithms. His ideas established …
paper that has become the basis of most fuzzy clustering algorithms. His ideas established …