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- research-articleAugust 2024
Relational regression: a cognitively-inspired method for prediction system in cognitive IoT
Progress in Artificial Intelligence (PRAI), Volume 13, Issue 3Pages 247–262https://doi.org/10.1007/s13748-024-00333-0AbstractThe incorporation of cognition into the design and architecture of the Internet of Things (IoT) has recently given rise to a new subject of IoT research known as cognitive IoT (CIoT). The characteristics and challenges of the IoT are present in ...
- research-articleJuly 2024
Conscious points and patterns extraction: a high-performance computing model for knowledge discovery in cognitive IoT
The Journal of Supercomputing (JSCO), Volume 80, Issue 17Pages 24871–24907https://doi.org/10.1007/s11227-024-06348-7AbstractIncorporating cognition into the design and architecture of the Internet of Things (IoT) has recently been the subject of much research, giving rise to a new subfield known as the cognitive IoT (CIoT). Consequently, CIoT takes on some ...
- research-articleApril 2024
A background-based new scheduling approach for scheduling the IoT network task with data storage in cloud environment
Cluster Computing (KLU-CLUS), Volume 27, Issue 6Pages 8577–8594https://doi.org/10.1007/s10586-024-04400-yAbstractCloud computing is very popular due to its unique features, such as scalability, flexibility, on-demand service, and security. A competent task scheduler is necessary to boost the efficiency of a cloud system, which executes several tasks at once. ...
- research-articleJuly 2024
An ensemble technique to predict Parkinson's disease using machine learning algorithms
Highlights- Parkinson's Disease (PD) prediction is based on optimised machine learning algorithms and an ensemble feature selection algorithm.
- Three datasets containing voice samples were utilised to analyse performance metrics comprehensively.
Parkinson's Disease (PD) is a progressive neurodegenerative disorder affecting motor and non-motor symptoms. Its symptoms develop slowly, making early identification difficult. Machine learning has a significant potential to predict Parkinson's ...
- research-articleMarch 2024
Decentralized multiple hypothesis testing in Cognitive IOT using massive heterogeneous data
Cluster Computing (KLU-CLUS), Volume 27, Issue 5Pages 6889–6929https://doi.org/10.1007/s10586-024-04324-7AbstractAn emerging area of study known as Cognitive IoT (CIoT) has emerged as a result of recent efforts to include cognition in the design of the Internet of Things (IoT). Several features and challenges from the IoT are carried over to the CIoT. A lot ...
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- research-articleOctober 2024
Cognitively-inspired intelligent decision-making framework in cognitive IoT network
International Journal of Networking and Virtual Organisations (IJNVO), Volume 31, Issue 2Pages 87–105https://doi.org/10.1504/ijnvo.2024.142239Numerous Internet of Things (IoT) applications require brain-empowered intelligence. This necessity has caused the emergence of a new area called cognitive IoT (CIoT). Reasoning, planning, and selection are typically involved in decision-making within ...
- research-articleJuly 2024
Anomalous data detection in cognitive IoT sensor network
International Journal of Networking and Virtual Organisations (IJNVO), Volume 30, Issue 4Pages 309–328https://doi.org/10.1504/ijnvo.2024.140208Recent research in the internet of things (IoT) focuses on the insertion of cognition into its system architecture and design, which introduces the new discipline known as cognitive IoT (CIoT). The cognitive internet of things sensor network defines a ...
- research-articleOctober 2023
Decentralized knowledge discovery using massive heterogenous data in Cognitive IoT
Cluster Computing (KLU-CLUS), Volume 27, Issue 3Pages 3657–3682https://doi.org/10.1007/s10586-023-04154-zAbstractCurrent Internet of Things (IoT) research focuses on inserting cognition into its system architecture and design. Therefore, Cognitive IoT (CIoT) has emerged. CIoT inherits several features and challenges from IoT. Since IoT generates huge amounts ...
- articleSeptember 2019
Land cover change detection using focused time delay neural network
Soft Computing - A Fusion of Foundations, Methodologies and Applications (SOFC), Volume 23, Issue 17Pages 7699–7713https://doi.org/10.1007/s00500-018-3395-3The development of improved satellite technology generates a huge amount of remote sensing data, these data play the crucial role in natural resource management. The land use and land cover (LULC) change intensely affects local environment, as well as ...
- articleApril 2019
Soft voting technique to improve the performance of global filter based feature selection in text corpus
Applied Intelligence (KLU-APIN), Volume 49, Issue 4Pages 1597–1619https://doi.org/10.1007/s10489-018-1349-1In text classification, the Global Filter-based Feature Selection Scheme (GFSS) selects the top-N ranked words as features. It discards the low ranked features from some classes either partially or completely. The low rank is usually due to varying ...
- articleJune 2018
An automatic classification of text documents based on correlative association of words
Training speed of the classifier without degrading its predictive capability is an important concern in text classification. Feature selection plays a key role in this context. It selects a subset of most informative words (terms) from the set of all ...
- research-articleNovember 2017
Mutual information using sample variance for text feature selection
ICCIP '17: Proceedings of the 3rd International Conference on Communication and Information ProcessingPages 39–44https://doi.org/10.1145/3162957.3163054Feature selection improves the training speed of the classifier without affecting its predictive capability. It selects a subset of most informative words (terms) from the set of all words. Term distribution affects the feature selection process, e.g. ...
- research-articleSeptember 2017
Variable Global Feature Selection Scheme for automatic classification of text documents
Expert Systems with Applications: An International Journal (EXWA), Volume 81, Issue CPages 268–281https://doi.org/10.1016/j.eswa.2017.03.057A novel Variable Global Feature Selection Scheme (VGFSS) is proposed.VGFSS selects variable number of features from each class instead of equal features.The selection of features in VGFSS is based on distribution of terms in the classes.The methods are ...
- short-paperSeptember 2016
Computing Correlative Association of Terms for Automatic Classification of Text Documents
VisionNet'16: Proceedings of the Third International Symposium on Computer Vision and the InternetPages 71–80https://doi.org/10.1145/2983402.2983424The selection of most informative terms reduces the feature set and speed up the classification process. The most informative terms are highly affected by the correlative association of the terms. The rare terms are most informative than sparse and ...
- ArticleNovember 2014
Quantifying the Cloud Computing Reliability Using a Randomizer
CICN '14: Proceedings of the 2014 International Conference on Computational Intelligence and Communication NetworksPages 597–601https://doi.org/10.1109/CICN.2014.134Cloud computing is providing different types of services anytime as per its users demand from anywhere through the Internet and hence gaining more and more popularity day by day. With the help of cloud computing, efficient utilization of computing ...
- research-articleOctober 2014
Novel Algorithm for Reduced Computational Data by Using Fuzzy Classification and Data Mining Techniques
ICTCS '14: Proceedings of the 2014 International Conference on Information and Communication Technology for Competitive StrategiesArticle No.: 75, Pages 1–5https://doi.org/10.1145/2677855.2677930Fuzzy logic and Data mining is used to find out some association rules. It is very difficult to find out some association rules of fuzzy values of any membership function because fuzzy values are distinct, so it is very difficult to find the minimum ...
- research-articleOctober 2014
Neuro-Fuzzy Based Integrated and Optimized Search Engine for Effective and Reliable Information Retrieval System
ICTCS '14: Proceedings of the 2014 International Conference on Information and Communication Technology for Competitive StrategiesArticle No.: 65, Pages 1–4https://doi.org/10.1145/2677855.2677920In this paper, we have presented neuro-fuzzy based simulated model to integrate the search engines, to optimize the working pattern of search engines. The combined approach of neural network and fuzzy logic makes proposed approach attractive because ...
- research-articleOctober 2014
A Novel Attempt towards Effective Scheduling Based on Reliability in Cloud Environment
ICTCS '14: Proceedings of the 2014 International Conference on Information and Communication Technology for Competitive StrategiesArticle No.: 36, Pages 1–6https://doi.org/10.1145/2677855.2677891Cloud computing is now becoming a trend of modern IT industry. The huge advantages of cloud computing are progressively attracting individuals and several organizations to outsource their data from local to remote cloud servers. Therefore, the ...
- ArticleApril 2014
Pattern and Cluster Mining on Text Data
CSNT '14: Proceedings of the 2014 Fourth International Conference on Communication Systems and Network TechnologiesPages 428–432https://doi.org/10.1109/CSNT.2014.92Due to heavy use of electronics devices nowadays most of the information is available in electronic format and a substantial portion of information is stored as text such as in news articles, technical papers, books, digital libraries, email messages, ...
- ArticleApril 2014
Knowledge Discovery from Earth Science Data
CSNT '14: Proceedings of the 2014 Fourth International Conference on Communication Systems and Network TechnologiesPages 398–403https://doi.org/10.1109/CSNT.2014.85Mining the knowledge from climate data is one of the important issues due the rapid development and the extensive use of data acquisition technology. Earth science data increases tremendously, it is containing a large amount of information and ...