Image Compression Scheme Based on Multi-resolution Boundary-Based Shape Descriptors

Zhao, Yanjun; Belkasim, Saeid; Krishnamani, Janani

doi:10.1109/wi-iat.2013.137

Cited by 2 publications

(2 citation statements)

References 25 publications

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“…These are applications of hybrid simulations of cell computing successfully proving the correctness of the method. Besides, there is other related research on effective analysis of Bioinformatics data in different formats [35][36][37][38] and big data [39,40]. The evaluation of the complexity and universality characteristics of MECOMP.NET as a new computational paradigm implies examining computational relationships and convergences of MECOMP.NET with cellular automata, evolutionary agents, and the Turing machine.…”

Section: Problem-solving Characteristicsmentioning

confidence: 99%

An In Vivo Proposal of Cell Computing Inspired by Membrane Computing

et al. 2021

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Intractable problems are challenging and not uncommon in Computer Science. The computing generation we are living in forces us to look for an alternative way of computing, as current computers are facing limitations when dealing with complex problems and bigger input data. Physics and Biology offer great alternatives to solve these problems that traditional computers cannot. Models like Quantum Computing and cell computing are emerging as possible solutions to the current problems the conventional computers are facing. This proposal describes an in vivo framework inspired by membrane computing and based on alternative computational frameworks that have been proven to be theoretically correct such as chemical reaction series. The abilities of a cell as a computational unit make this proposal a starting point in the creation of feasible potential frameworks to enhance the performance of applications in different disciplines such as Biology, BioMedicine, Computer networks, and Social Sciences, by accelerating drastically the way information is processed by conventional architectures and possibly achieving results that presently are not possible due to the limitations of the current computing paradigm. This paper introduces an in vivo solution that uses the principles of membrane computing and it can produce non-deterministic outputs.

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Section: Problem-solving Characteristicsmentioning

confidence: 99%

An In Vivo Proposal of Cell Computing Inspired by Membrane Computing

et al. 2021

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“…This methodology uses a domain fusion algorithm to narrow domain concepts from different domain knowledge and avoids unknown domain problem; it can be effectively used for both biomedical information retrieval and text mining. An approach based on image compression and deposing scheme is shown in Zhao and Belkasim [26], Zhao et al [28]. Other authors [29,30] present another proposal done for digging the knowledge that hidden in a big amount of text data.…”

Section: Related Workmentioning

confidence: 99%

Tele-Treatment Application Design for Disable Patients with Wireless Sensors

2020

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This paper consists of the development of a system to help patients with different disabilities, affected by rare or chronic diseases or any kind of dependence through tele assistance, virtual interaction and intelligent monitoring. The main goal is to increase the quality of life of the minorities who cannot take full advantage of the healthcare system by providing an alternative way of monitoring them with the technology embedded in this paper. The result of the paper is not intended to be a single solution, but a modular system that allows the construction of an application that is able to measure the needs of a health administration and the patients. The paper also pursues an educational training to the facultative trainees in a new way to approach patient treatments. It can improve the quality of life of the patients by saving them time and other resources in moving to the Health center and the professionals can also save time as they can take advantage of the online treatments by using the proposed system.

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Image Compression Scheme Based on Multi-resolution Boundary-Based Shape Descriptors

Cited by 2 publications

References 25 publications

An In Vivo Proposal of Cell Computing Inspired by Membrane Computing

An In Vivo Proposal of Cell Computing Inspired by Membrane Computing

Tele-Treatment Application Design for Disable Patients with Wireless Sensors

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