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A comprehensive review of the deep learning-based tumor analysis approaches in histopathological images: segmentation, classification and multi-learning tasks
(
Springer
, 2023 , Other)
Medical Imaging has become a vital technique that has been embraced in the diagnosis and treatment process of cancer. Histopathological slides, which microscopically examine the suspicious tissue, are considered the golden ...
An iterative cyclic tri-strategy hybrid stochastic fractal with adaptive differential algorithm for global numerical optimization
(
Elsevier Inc.
, 2023 , Article)
Many real-life problems can be formulated as numerical optimization problems. Such problems pose a challenge for researchers when designing efficient techniques that are capable of finding the desired solution without ...
Inpatient Discharges Forecasting for Singapore Hospitals by Machine Learning
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
Hospitals can predetermine the admission rate and facilitate resource allocation based on valid emergency requests and bed capacity estimation. The excess unoccupied beds can be determined with the help of forecasting the ...
Integration of federated machine learning and blockchain for the provision of secure big data analytics for Internet of Things
(
Elsevier
, 2021 , Article)
Big data enables the optimization of complex supply chains through Machine Learning (ML)-based data analytics. However, data analytics comes with challenges such as the loss of control and privacy leading to increased risk ...
Automatic generation of optimized workflow for distributed computations on large-scale matrices
(
Springer Verlag
, 2014 , Conference Paper)
Efficient evaluation of distributed computation on large-scale data is prominent in modern scientific computation; especially analysis of big data, image processing and data mining applications. This problem is particularly ...
Paillier's encryption: Implementation and cloud applications
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Conference Paper)
Paillier's additive homomorphic encryption is increasingly used in recent research in the field of cloud secure outsourcing and privacy-preserving computation in addition to other cryptographic tools such as garbled circuits. ...
A Domain Specific Language for Secure Outsourcing of Computation to the Cloud
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Conference Paper)
Secure outsourcing of computation has gained importance with the proliferation of cloud services. However, existing outsourcing protocol specification languages are mainly suitable for secure multi-party computation. They ...
A model driven framework for secure outsourcing of computation to the cloud
(
IEEE Computer Society
, 2014 , Conference Paper)
This paper presents a model driven approach to define then coordinate the execution of protocols for secure outsourcing of computation of large datasets in cloud computing environments. First we present our Outsourcing ...
Reasoning about security policies of services using answer set programming
(
Institute of Electrical and Electronics Engineers Inc.
, 2014 , Conference Paper)
In this paper, we propose a formal framework for checking the consistency of security policies of services using Answer Set Programming (ASP). We illustrate that the formalisation of security policies of the service providers ...
Virtual Reality Glove for Falconry
(
Institute of Electrical and Electronics Engineers Inc.
, 2018 , Conference Paper)
This project is a virtual reality based game. Basically it's about hunting pray-using different types of falcons. And the main idea behind this project is to give more knowledge to the player about a cultural game in more ...