Pub Date : 2021-10-05DOI: 10.53759/181x/jcns202101019
Steve Blair, Jon Cotter
The need for high-performance Data Mining (DM) algorithms is being driven by the exponentially increasing data availability such as images, audio and video from a variety of domains, including social networks and the Internet of Things (IoT). Deep learning is an emerging field of pattern recognition and Machine Learning (ML) study right now. It offers computer simulations of numerous nonlinear processing layers of neurons that may be used to learn and interpret data at higher degrees of abstractions. Deep learning models, which may be used in cloud technology and huge computational systems, can inherently capture complex structures of large data sets. Heterogeneousness is one of the most prominent characteristics of large data sets, and Heterogeneous Computing (HC) causes issues with system integration and Advanced Analytics. This article presents HC processing techniques, Big Data Analytics (BDA), large dataset instruments, and some classic ML and DM methodologies. The use of deep learning to Data Analytics is investigated. The benefits of integrating BDA, deep learning, HPC (High Performance Computing), and HC are highlighted. Data Analytics and coping with a wide range of data are discussed.
{"title":"An Analysis of Data Processing for Big Data Analytics","authors":"Steve Blair, Jon Cotter","doi":"10.53759/181x/jcns202101019","DOIUrl":"https://doi.org/10.53759/181x/jcns202101019","url":null,"abstract":"The need for high-performance Data Mining (DM) algorithms is being driven by the exponentially increasing data availability such as images, audio and video from a variety of domains, including social networks and the Internet of Things (IoT). Deep learning is an emerging field of pattern recognition and Machine Learning (ML) study right now. It offers computer simulations of numerous nonlinear processing layers of neurons that may be used to learn and interpret data at higher degrees of abstractions. Deep learning models, which may be used in cloud technology and huge computational systems, can inherently capture complex structures of large data sets. Heterogeneousness is one of the most prominent characteristics of large data sets, and Heterogeneous Computing (HC) causes issues with system integration and Advanced Analytics. This article presents HC processing techniques, Big Data Analytics (BDA), large dataset instruments, and some classic ML and DM methodologies. The use of deep learning to Data Analytics is investigated. The benefits of integrating BDA, deep learning, HPC (High Performance Computing), and HC are highlighted. Data Analytics and coping with a wide range of data are discussed.","PeriodicalId":170349,"journal":{"name":"Journal of Computing and Natural Science","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131828035","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-05DOI: 10.53759/181x/jcns202101017
Rimma Padovano
"Cloud computing" refers to large-scale parallel and distributed systems, which are essentially collections of autonomous. As a result, the “cloud organization” is made up on a wide range of ideas and experiences collected since the first digital computer was used to solve algorithmically complicated problems. Due to the complexity of established parallel and distributed computing ontologies, it is necessary for developers to have a high level of expertise to get the most out of the consolidated computer resources. The directions for future research for parallel and distributed computing are critically presented in this research: technology and application and cross-cutting concerns.
{"title":"Critical Analysis of Parallel and Distributed Computing and Future Research Direction of Cloud Computing","authors":"Rimma Padovano","doi":"10.53759/181x/jcns202101017","DOIUrl":"https://doi.org/10.53759/181x/jcns202101017","url":null,"abstract":"\"Cloud computing\" refers to large-scale parallel and distributed systems, which are essentially collections of autonomous. As a result, the “cloud organization” is made up on a wide range of ideas and experiences collected since the first digital computer was used to solve algorithmically complicated problems. Due to the complexity of established parallel and distributed computing ontologies, it is necessary for developers to have a high level of expertise to get the most out of the consolidated computer resources. The directions for future research for parallel and distributed computing are critically presented in this research: technology and application and cross-cutting concerns.","PeriodicalId":170349,"journal":{"name":"Journal of Computing and Natural Science","volume":"28 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126831556","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-05DOI: 10.53759/181x/jcns202101020
Chris Lee
Consumers and academics are paying attention to affordable Virtual Reality (VR) (VR) remedies such as the Sony Entertainment VR, Vive VR and Oculus VR, including the Mixed-Reality Interface (MRITF) such as Hololens, which suggests it may be the next big thing in technical advancement. Nevertheless, VR has a wide history: the ideology of the remedy was initiated in 1960s, and commercialized toolkit for VR in the 1960s introduced in 1980s. This paper starts with the analysis of the development from VR to Augmented Reality (AR). We conclude by evaluating implications that MRITF, AR and VR will be capable of succeeding in the scientific disciplines, incorporating the human interaction as evident in the advent of cellular devices, altered social engagement, and understanding among individuals, as occurred with the emergence of smartphones.
{"title":"A Review of Virtual and Augmented Reality Concepts, Technologies and Application","authors":"Chris Lee","doi":"10.53759/181x/jcns202101020","DOIUrl":"https://doi.org/10.53759/181x/jcns202101020","url":null,"abstract":"Consumers and academics are paying attention to affordable Virtual Reality (VR) (VR) remedies such as the Sony Entertainment VR, Vive VR and Oculus VR, including the Mixed-Reality Interface (MRITF) such as Hololens, which suggests it may be the next big thing in technical advancement. Nevertheless, VR has a wide history: the ideology of the remedy was initiated in 1960s, and commercialized toolkit for VR in the 1960s introduced in 1980s. This paper starts with the analysis of the development from VR to Augmented Reality (AR). We conclude by evaluating implications that MRITF, AR and VR will be capable of succeeding in the scientific disciplines, incorporating the human interaction as evident in the advent of cellular devices, altered social engagement, and understanding among individuals, as occurred with the emergence of smartphones.","PeriodicalId":170349,"journal":{"name":"Journal of Computing and Natural Science","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126866732","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-05DOI: 10.53759/181x/jcns202101016
Abirami S.K, Keerthika J
Rapid technological advancement provides a major potential to fulfill the agenda 2030 and the 2030 Agenda For sustainable development. Technological breakthroughs can help to eradicate poverty, monitor environmental sustainability key performance indicators, enhance food security, promote resource efficiency and effectiveness, enable deep structural transition, support social integration, combat ailments, and enhance access to higher education. Technology advancement also creates new policy problems, threatening to outrun authorities' and society's ability to respond to the changing brought about by new technology. Automation may have an uncertain and possibly detrimental effect on the economy, profitability, internationalization, and competitiveness. In that regard, this paper will focus on the technological changes in the field of science. The paper will start on an analysis of the effect of fast technological development on global disparities, then literature survey before evaluating the technological changes in science.
{"title":"Analysis of Future Technological Changes in Science","authors":"Abirami S.K, Keerthika J","doi":"10.53759/181x/jcns202101016","DOIUrl":"https://doi.org/10.53759/181x/jcns202101016","url":null,"abstract":"Rapid technological advancement provides a major potential to fulfill the agenda 2030 and the 2030 Agenda For sustainable development. Technological breakthroughs can help to eradicate poverty, monitor environmental sustainability key performance indicators, enhance food security, promote resource efficiency and effectiveness, enable deep structural transition, support social integration, combat ailments, and enhance access to higher education. Technology advancement also creates new policy problems, threatening to outrun authorities' and society's ability to respond to the changing brought about by new technology. Automation may have an uncertain and possibly detrimental effect on the economy, profitability, internationalization, and competitiveness. In that regard, this paper will focus on the technological changes in the field of science. The paper will start on an analysis of the effect of fast technological development on global disparities, then literature survey before evaluating the technological changes in science.","PeriodicalId":170349,"journal":{"name":"Journal of Computing and Natural Science","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128240751","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-05DOI: 10.53759/181x/jcns202101018
R. Caruana, Yin Lou
Various challenges in real life are multi-objective and conflicting (i.e., alter concurrent optimization). This implies that a single objective is optimized based on another’s cost. The Multi-Objective Optimization (MOO) issues are challenging but potentially realistic, and due to their wide-range application, optimization challenges have widely been analyzed by research with distinct scholarly bases. Resultantly, this has yielded distinct approaches for mitigating these challenges. There is a wide-range literature concerning the approaches used to handle MOO challenges. It is important to keep in mind that each technique has its pros and limitations, and there is no optimum alternative for cure searchers in a typical scenario. The MOO challenges can be identified in various segments e.g., path optimization, airplane design, automobile design and finance, among others. This contribution presents a survey of prevailing MOO challenges and swarm intelligence approaches to mitigate these challenges. The main purpose of this contribution is to present a basis of understanding on MOO challenges.
{"title":"A Survey on Multi Objective Optimization Challenges in Swarm Intelligence","authors":"R. Caruana, Yin Lou","doi":"10.53759/181x/jcns202101018","DOIUrl":"https://doi.org/10.53759/181x/jcns202101018","url":null,"abstract":"Various challenges in real life are multi-objective and conflicting (i.e., alter concurrent optimization). This implies that a single objective is optimized based on another’s cost. The Multi-Objective Optimization (MOO) issues are challenging but potentially realistic, and due to their wide-range application, optimization challenges have widely been analyzed by research with distinct scholarly bases. Resultantly, this has yielded distinct approaches for mitigating these challenges. There is a wide-range literature concerning the approaches used to handle MOO challenges. It is important to keep in mind that each technique has its pros and limitations, and there is no optimum alternative for cure searchers in a typical scenario. The MOO challenges can be identified in various segments e.g., path optimization, airplane design, automobile design and finance, among others. This contribution presents a survey of prevailing MOO challenges and swarm intelligence approaches to mitigate these challenges. The main purpose of this contribution is to present a basis of understanding on MOO challenges.","PeriodicalId":170349,"journal":{"name":"Journal of Computing and Natural Science","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131216181","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-01-05DOI: 10.53759/181x/jcns202101004
Malene Helgo Mr
Reduction of blood flow due to immobility of legs de-escalates transportability of liberal number of patients in a extensive range of healing scheme transverse from bruise grume. In normal human being effective system of venous rejoin both alive and yielding is amenable for prohibition of profound venous apoplexy. Ultrasonic blood flow rate sensor, Tilt sensor, Force sensor and Accelerometer sensor are used to detect and identify the flow rate as well as ankle position. The paper offers prophylaxis and slimnastics device that caricature the essential proposition off venous recompense to uphold the blood flow gadget is based on Lukewarm and Trembling technique that is compress and appropriately from equipped in pattern and additionally requirement no restricted trainings for the operation.
{"title":"Lukewarm and Trembling Therapy Device to Assist the Reduction of Blood Flow for Immobilized Patients","authors":"Malene Helgo Mr","doi":"10.53759/181x/jcns202101004","DOIUrl":"https://doi.org/10.53759/181x/jcns202101004","url":null,"abstract":"Reduction of blood flow due to immobility of legs de-escalates transportability of liberal number of patients in a extensive range of healing scheme transverse from bruise grume. In normal human being effective system of venous rejoin both alive and yielding is amenable for prohibition of profound venous apoplexy. Ultrasonic blood flow rate sensor, Tilt sensor, Force sensor and Accelerometer sensor are used to detect and identify the flow rate as well as ankle position. The paper offers prophylaxis and slimnastics device that caricature the essential proposition off venous recompense to uphold the blood flow gadget is based on Lukewarm and Trembling technique that is compress and appropriately from equipped in pattern and additionally requirement no restricted trainings for the operation.","PeriodicalId":170349,"journal":{"name":"Journal of Computing and Natural Science","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126163814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-01-05DOI: 10.53759/181x/jcns202101001
Camilla Schaefer, Ana Makatsaria
Psychological radio innovation can possibly ameliorate the shortage of remote assets on the grounds that unlicensed clients can utilize remote assets just on the off chance that they no affect the tasks of authorized clients. Later, psychological radio CLOUD (CogCLOUD) will be built from numerous versatile SUs associated with one another in a circulated way, which can be sent for different applications, including smart vehicle frameworks. Notwithstanding, in CogCLOUD, channel exchanging is intrinsically important at whatever point an essential client with a permit shows up on the channel. Permitting optional clients to pick an accessible channel among a large range hence empowers dependable correspondence in this unique circumstance, yet correspondence qualities, for example, bottleneck transmission capacity, RTT would change with channel switch. Because of the change, TCP needs refresh the blockage window to utilize the accessible assets. TCP CRAHN was proposed for CogCLOUD. TCP CRAHN is first assessed in quite a while the bottleneck transmission capacity then RTT changes. Considering the outcomes, TCP CoBA is proposed to additionally increase the throughput of the above use cases. TCP CoBA refreshes the cwnd dependent on accessible cradle space in transfer hub upon channel switch, just as other correspondence attributes. Through recreations, we show that contrasted and TCP CRAHN, TCP CoBA increase the throughput by up to 200%.
{"title":"Smart Data Analytics for Machine Learning Approach in 5G Network","authors":"Camilla Schaefer, Ana Makatsaria","doi":"10.53759/181x/jcns202101001","DOIUrl":"https://doi.org/10.53759/181x/jcns202101001","url":null,"abstract":"Psychological radio innovation can possibly ameliorate the shortage of remote assets on the grounds that unlicensed clients can utilize remote assets just on the off chance that they no affect the tasks of authorized clients. Later, psychological radio CLOUD (CogCLOUD) will be built from numerous versatile SUs associated with one another in a circulated way, which can be sent for different applications, including smart vehicle frameworks. Notwithstanding, in CogCLOUD, channel exchanging is intrinsically important at whatever point an essential client with a permit shows up on the channel. Permitting optional clients to pick an accessible channel among a large range hence empowers dependable correspondence in this unique circumstance, yet correspondence qualities, for example, bottleneck transmission capacity, RTT would change with channel switch. Because of the change, TCP needs refresh the blockage window to utilize the accessible assets. TCP CRAHN was proposed for CogCLOUD. TCP CRAHN is first assessed in quite a while the bottleneck transmission capacity then RTT changes. Considering the outcomes, TCP CoBA is proposed to additionally increase the throughput of the above use cases. TCP CoBA refreshes the cwnd dependent on accessible cradle space in transfer hub upon channel switch, just as other correspondence attributes. Through recreations, we show that contrasted and TCP CRAHN, TCP CoBA increase the throughput by up to 200%.","PeriodicalId":170349,"journal":{"name":"Journal of Computing and Natural Science","volume":" 18","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114053165","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.53759/181x/jcns202101011
Bojadzievski Andonova, R. Kulkarni
In engineering, the interdisciplinary essence of the Computing and Natural Science (CNS) as well as its relations with other fields are described. This paper presents a discussion of the phases by which CNS education evolve from the recognition of initial growth in the '80's to current growth. The limitations and potential benefits of varying CNS education methodologies are addressed, and so is the advancement of the number of the foundational elements, which are common to most strategies. The CNS course content, grades and curriculum are examined and all bachelors’ programs are surveyed. The curricula of the various programs are examined and discussed for their relative weighting for the standard "toolkit."
{"title":"The Nature of the Computing and Natural Science in Engineering Education","authors":"Bojadzievski Andonova, R. Kulkarni","doi":"10.53759/181x/jcns202101011","DOIUrl":"https://doi.org/10.53759/181x/jcns202101011","url":null,"abstract":"In engineering, the interdisciplinary essence of the Computing and Natural Science (CNS) as well as its relations with \u0000other fields are described. This paper presents a discussion of the phases by which CNS education evolve from the recognition of \u0000initial growth in the '80's to current growth. The limitations and potential benefits of varying CNS education methodologies are \u0000addressed, and so is the advancement of the number of the foundational elements, which are common to most strategies. The \u0000CNS course content, grades and curriculum are examined and all bachelors’ programs are surveyed. The curricula of the various \u0000programs are examined and discussed for their relative weighting for the standard \"toolkit.\"","PeriodicalId":170349,"journal":{"name":"Journal of Computing and Natural Science","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134528469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.53759/181x/jcns202101012
Aisling Yue Irwing, Alen Macline
This paper provides a critical evaluation of the Advanced Computing Infrastructure (ACI), which is a fundamental element of the Cyber Infrastructure (CI) 21st of the Century. Whereas the infrastructure focuses widely on the cyber infrastructure required by education, engineering, and science communities to handle more complex issues and problems, the ACI particularly concentrates on ensuring these societies have ready accessibility to the required advanced computing capacities. The CI of the 21st Century and its framework integrate other key complementariness; however, it integrates overlapping elements: scientific instruments, Computational Data-enhanced Engineering & Science (CDE&S), computational science, grand challenge societies, workforce development, Cyber Security (CS), campus bridging, software and data. Various elements were addressed in the CI of the 21st Century in the past decade and processes are in progress to design strategic plans focusing on the different elements.
{"title":"Strategic Analysis of the Advanced Computing Infrastructure and Future Directions","authors":"Aisling Yue Irwing, Alen Macline","doi":"10.53759/181x/jcns202101012","DOIUrl":"https://doi.org/10.53759/181x/jcns202101012","url":null,"abstract":"This paper provides a critical evaluation of the Advanced Computing Infrastructure (ACI), which is a fundamental element of the Cyber Infrastructure (CI) 21st of the Century. Whereas the infrastructure focuses widely on the cyber infrastructure required by education, engineering, and science communities to handle more complex issues and problems, the ACI particularly concentrates on ensuring these societies have ready accessibility to the required advanced computing capacities. The CI of the 21st Century and its framework integrate other key complementariness; however, it integrates overlapping elements: scientific instruments, Computational Data-enhanced Engineering & Science (CDE&S), computational science, grand challenge societies, workforce development, Cyber Security (CS), campus bridging, software and data. Various elements were addressed in the CI of the 21st Century in the past decade and processes are in progress to design strategic plans focusing on the different elements.","PeriodicalId":170349,"journal":{"name":"Journal of Computing and Natural Science","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125506012","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.53759/181x/jcns202101015
Madeleine Rannveig
Population Fluctuations (PF), Patch Variation (PV), and Food Webs (FW) are just a few of the areas where the Complex Dynamic Systems Theory (CDST) has made a significant impact on our understanding of the environment. Measures have been used to capture the variation between simple, disordered and ordered frameworks with local interactions that can generate surprising actions on a massive scale. But research shows that conventional explanations of convolution fail to take into account some major characteristics of ecological systems, an ideology that will limit the contributions of CDST to the entire ecosystem. In this paper, we have presented literature review of these characteristics of Environmental Convolution (EC), e.g. diversification, environmental variability, memory and cross-scale interactions, which progress to classical CDST. Advancements in these segments will be essential before CDST can be applicable in the comprehension of more vibrant systems in the environment.
{"title":"Complex Dynamic Systems Theory for Cognitive Environment Approach","authors":"Madeleine Rannveig","doi":"10.53759/181x/jcns202101015","DOIUrl":"https://doi.org/10.53759/181x/jcns202101015","url":null,"abstract":"Population Fluctuations (PF), Patch Variation (PV), and Food Webs (FW) are just a few of the areas where the Complex Dynamic Systems Theory (CDST) has made a significant impact on our understanding of the environment. Measures have been used to capture the variation between simple, disordered and ordered frameworks with local interactions that can generate surprising actions on a massive scale. But research shows that conventional explanations of convolution fail to take into account some major characteristics of ecological systems, an ideology that will limit the contributions of CDST to the entire ecosystem. In this paper, we have presented literature review of these characteristics of Environmental Convolution (EC), e.g. diversification, environmental variability, memory and cross-scale interactions, which progress to classical CDST. Advancements in these segments will be essential before CDST can be applicable in the comprehension of more vibrant systems in the environment.","PeriodicalId":170349,"journal":{"name":"Journal of Computing and Natural Science","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114918883","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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