Big data and cloud computing: A critical review

A Gautam, I Chatterjee - International Journal of Operations …, 2020 - igi-global.com
With evolving technology, a huge data is being generated from everywhere in various forms.
The driving factors for the evolution of data, such as retail, media, banking, healthcare, and …

Development of a Machine Learning-Based Framework for Predicting Vessel Size Based on Container Capacity

I Chatterjee, G Cho - Applied Sciences, 2022 - mdpi.com
Ports are important hubs in logistics and supply chain systems, where the majority of the
available data is still not being fully exploited. Container throughput is the amount of work …

Evaluation Measures and Applications for Explainable AI

M Chopra, A Kumar - Explainable AI: Foundations, Methodologies and …, 2022 - Springer
Abstract Machine learning advances, particularly deep learning, have enabled us to design
models that excel at increasingly complicated tasks. Because of the growing size and …

Dynamic Assessment and Prediction in Online Learning: Exploring the Methods of Collaborative Filtering in a Task Recommender System.

L Liu, Y Liang, W Li - International Journal of Technology in Teaching and …, 2017 - ERIC
Dynamic learning is a featured learning style in the second decade of the 21st century,
emphasizing on the processes of individual or collaborative learning. Conducting dynamic …

Application of transfer learning in task recommendation system

L Ying, L Boqin - Procedia engineering, 2017 - Elsevier
In order to meet the need of individualized learning, the current network teaching platform all
bring in recommendation system, including the recommendation of learning resources, the …

Classification of Down Syndrome of Mice Protein Dataset on MongoDB Database

FG Furat, T Ibrikci - Balkan Journal of Electrical and Computer …, 2018 - dergipark.org.tr
There are samples both with Down Syndrome and without in mice protein expression data
set. It is important to define the reason of Down Syndrome treatment by means of mice …

An overview of big data applications in healthcare: opportunities and challenges

A Gautam, I Chatterjee - … Modelling and Big Data Analytics in …, 2021 - taylorfrancis.com
Data are raw pieces of information present in an unorganized form, usually translated into
an understandable and well-structured form that is later processed and managed to extract …

Genetic Study of Schizophrenia and Role of Computational Genomics in Mental Healthcare

N Jawanjal, I Chatterjee - … Modelling and Big Data Analytics in …, 2021 - taylorfrancis.com
Most mental and neurological disorders are non-curable, but new techniques are emerging
in medical sciences, genetics, and computational biology. Schizophrenia is a chronic brain …

Diagnosis of Schizophrenia: A Study on Clinical and Computational Aspects

I Chatterjee, K Mittal - … Modelling and Big Data Analytics in …, 2021 - taylorfrancis.com
Among the severe psychological disorders, schizophrenia is considered the most commonly
occurring mental disorder. Schizophrenia causes hallucinations and delusions, among other …

Diagnosis 5 of Schizophrenia

I Chatterjee, K Mittal - … Modelling and Big Data Analytics in …, 2021 - books.google.com
Schizophrenia is a severe, chronic mental disorder in which people live with delusions and
hallucinations (Chatterjee et al., 2019). The person starts losing their realworld connections …