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  • Search: isPartOf:"International Journal of Software Science and Computational Intelligence (IJSSCI)"
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Machine Learning 7 Computational Intelligence 6 Artificial Intelligence 3 CICT 3 Cognitive Intelligence 3 Alzheimer’s Disease 2 Brain Tumors 2 Brain-Inspired Systems 2 Cognitive Computing 2 Cognitive Impairment 2 Cognitive Informatics 2 Cognitive Systems 2 Deep Thinking 2 Denotational Mathematics 2 Feature Extraction 2 Inductive Logic Programming 2 Saccade 2 Similarity Index 2 Symbiotic Computing 2 3D Indoor Localization 1 A* Search 1 ACK 1 Abstract Concept 1 Abstract Intelligence 1 Action Guided 1 Active Learning 1 Adaptive AAM 1 Algorithms 1 Anti-Jamming 1 Applications 1 Artifacts 1 Artificial Fish Swarm Algorithm 1 Artificial Intelligence Techniques 1 Artificial Neural Nets 1 Attention 1 Autism 1 Automatic Void Obstacle 1 Autonomous Planning and Scheduling 1 Backward Interpolation 1 Baseline Distance 1
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Undetermined 48
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Article 48
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English 48
Author
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Ohwada, Hayato 4 Baciu, George 3 Fiorini, Rodolfo A. 3 Peng, Jun 3 Wu, Ying 3 Abe, Toru 2 Ayesh, Aladdin 2 Bhattacharya, Prabir 2 Cui, Pingyuan 2 Gao, Ai 2 Ge, Jike 2 Guo, Peifang 2 Iwasaki, Hirotoshi 2 Kanamori, Katsutoshi 2 Li, Chenhui 2 Martono, Niken Prasasti 2 Mizoguchi, Fumio 2 Suganuma, Takuo 2 Xu, Rui 2 Yamaguchi, Takehiko 2 Zhu, Shengying 2 Abdallah, Mohamad Othman 1 Abe, Keisuke 1 Anandan, Kavitha 1 Aref, Mohamed A. 1 Arevalillo-Herra´ez, Miguel 1 Arnau-González, Pablo 1 Bai, Jie Jun 1 Bai, Junjie 1 Belkadi, Khaled 1 Bergier, Jean-Yves 1 Bhaskaran, Bhuvaneshwari 1 Biradar, Usha B. 1 Boudia, Mohamed Amine 1 Caro, Manuel F. 1 Chan, Christine 1 Chan, Jonathan T. 1 Chan, Marvin T. 1 Chen, Guorong 1 Chen, Liukui 1
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International Journal of Software Science and Computational Intelligence (IJSSCI) 48
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Other ZBW resources 48
Showing 31 - 40 of 48
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An Innovative Model for Detecting Brain Tumors and Glioblastoma Multiforme Disease Patterns
Guo, Peifang; Bhattacharya, Prabir - In: International Journal of Software Science and … 9 (2017) 4, pp. 34-45
In this article, an innovative model is proposed for detecting brain tumors and glioblastoma multiforme disease patterns (DBT-GBM) in medical imaging. The DBT-GBM model mainly includes five steps, the image conversion in the L* component of the L*a*b* space, an image sample region selection,...
Persistent link: https://www.econbiz.de/10012048050
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Assessment of Graph Metrics and Lateralization of Brain Connectivity in Progression of Alzheimer's Disease Using fMRI
Bhaskaran, Bhuvaneshwari; Anandan, Kavitha - In: International Journal of Software Science and … 9 (2017) 4, pp. 46-66
Alzheimer's disease (AD) is a progressive brain disorder which has a long preclinical phase. The beta-amyloid plaques and tangles in the brain are considered as the main pathological causes. Functional connectivity is typically examined in capturing brain network dynamics in AD. A definitive...
Persistent link: https://www.econbiz.de/10012048051
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A New Type of Self Driven Door Handle
Bai, Junjie; Liao, Lu; Wu, Ying; Deng, Yiping; Wu, … - In: International Journal of Software Science and … 9 (2017) 4, pp. 67-79
In this article, authors report on a smart door handle that can efficiently collect and utilize ambient energy to power itself. A Triboelectric Nanogenerator which presents characteristics including easy fabrication, small size and light weight is embedded in the door. When begin to turn the...
Persistent link: https://www.econbiz.de/10012048052
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Machine Learning Approach for Multi-Layered Detection of Chemical Named Entities in Text
Biradar, Usha B.; Gurulingappa, Harsha; Khamari, Lokanath; … - In: International Journal of Software Science and … 8 (2016) 1, pp. 1-15
Identification of chemical named entities in text and subsequent linkage of information to biological events is of immense value to fulfill the knowledge needs of pharmaceutical and chemical R&D. A significant amount of investigation has been carried out since a decade for identifying chemical...
Persistent link: https://www.econbiz.de/10012048020
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Prerequisites of Autonomous Software Operations in Home UbiHealth Described Formally with Denotational Mathematics
Sarivougioukas, John; Vagelatos, Aristides; Lagaris, Isaac - In: International Journal of Software Science and … 8 (2016) 1, pp. 16-31
In the home ubiquitous computing (UbiComp) environment the wirelessly and ad-hoc networked computing devices are connected with sensors and actuators monitoring, recording, and intervening in the performed activities. The unattended applications operating at this environment must be fault...
Persistent link: https://www.econbiz.de/10012048021
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Parallel Mining Small Patterns from Business Process Traces
Meddah, Ishak H.A.; Belkadi, Khaled; Boudia, Mohamed Amine - In: International Journal of Software Science and … 8 (2016) 1, pp. 32-45
Hadoop MapReduce has arrived to solve the problem of treatment of big data, also the parallel treatment, with this framework the authors analyze, process a large size of data. It based for distributing the work in two big steps, the map and the reduce steps in a cluster or big set of machines....
Persistent link: https://www.econbiz.de/10012048022
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A Fast Two-objective Differential Evolutionary Algorithm based on Pareto-optimal Set
Yu-long, Xu; Ling-dong, Zhao - In: International Journal of Software Science and … 8 (2016) 1, pp. 46-59
The two-objective differential evolution with Pareto-optimal set, which is researched in this paper. Firstly, it is found that there are some redundant computations in the classic multi-objective evolutionary algorithm, such as the NSGA-II. Then, based on the concept of Pareto-optimal set, the...
Persistent link: https://www.econbiz.de/10012048023
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New CICT Framework for Deep Learning and Deep Thinking Application
Fiorini, Rodolfo A. - In: International Journal of Software Science and … 8 (2016) 2, pp. 1-20
To achieve reliable system intelligence outstanding results, current computational system modeling and simulation community has to face and to solve two orders of modeling limitations at least. As a solution, the author proposes an exponential, pre-spatial arithmetic scheme (“all-powerful...
Persistent link: https://www.econbiz.de/10012048024
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Persuasive Communication from a Military Force to Local Civilians: A Cognitive Treatment of PsyOps Messages Based on the Elaboration Likelihood Model
Bergier, Jean-Yves; Faucher, Colette - In: International Journal of Software Science and … 8 (2016) 2, pp. 21-34
Here is presented a model of message processing using one of the leading paradigms in social psychology of persuasion as main theoretical framework: the Elaboration Likelihood Model (ELM). Adapting this dual process theory to military context and actions and more specifically psychological...
Persistent link: https://www.econbiz.de/10012048025
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CSMA/CA MAC Protocol with Function of Monitoring based on Binary Tree Conflict Resolution for Cognitive Radio Networks
Zhao, Yifan; Zhou, Shengjie; Ding, Hongwei; Yao, Shaowen; … - In: International Journal of Software Science and … 8 (2016) 2, pp. 35-51
The CSMA/CA protocol is the most widely-compete agreement used by a network. Therefore, MAC layer of cognitive radio networks mostly use the CSMA/CA protocol to provide the competitive channel resources. Due to the unique characteristics and related needs of the cognitive radio networks, design...
Persistent link: https://www.econbiz.de/10012048026
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