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Outputs (20)

A Trust Model for Edge-Driven Vehicular Ad Hoc Networks Using Fuzzy Logic (2023)
Journal Article
Hasan, M. M., Jahan, M., & Kabir, S. (2023). A Trust Model for Edge-Driven Vehicular Ad Hoc Networks Using Fuzzy Logic. IEEE Transactions on Intelligent Transportation Systems, 1-14. https://doi.org/10.1109/tits.2023.3305342

Trust establishment among vehicles is essential for vehicular ad hoc networks (VANETs) as it directly impacts the security and privacy of vehicular communication. Many trust estimation approaches have been introduced, however, they often suffer from... Read More about A Trust Model for Edge-Driven Vehicular Ad Hoc Networks Using Fuzzy Logic.

A Restricted Parametrized Model for Interval-Valued Regression (2023)
Conference Proceeding
Ying, J., Kabir, S., & Wagner, C. (2023). A Restricted Parametrized Model for Interval-Valued Regression. . https://doi.org/10.1109/fuzz52849.2023.10309686

This paper explores the parameter generation of the existing ‘Parametrized Model’ (PM) as the state-of-the-art linear interval-valued regression model, highlighting that its strong performance may arise from unexpected behavior. Focusing on the appro... Read More about A Restricted Parametrized Model for Interval-Valued Regression.

Towards Handling Uncertainty-at-Source in AI – A Review and Next Steps for Interval Regression (2023)
Journal Article
Kabir, S., Wagner, C., & Ellerby, Z. (2023). Towards Handling Uncertainty-at-Source in AI – A Review and Next Steps for Interval Regression. IEEE Transactions on Artificial Intelligence, 1-19. https://doi.org/10.1109/tai.2023.3234930

Most of statistics and AI draw insights through modelling discord or variance between sources (i.e., inter-source) of information. Increasingly however, research is focusing on uncertainty arising at the level of individual measurements (i.e., within... Read More about Towards Handling Uncertainty-at-Source in AI – A Review and Next Steps for Interval Regression.

Visualization of Interval Regression for Facilitating Data and Model Insight (2022)
Conference Proceeding
Kabir, S., & Wagner, C. (2022). Visualization of Interval Regression for Facilitating Data and Model Insight. . https://doi.org/10.1109/fuzz-ieee55066.2022.9882717

With growing significance of interval-valued data, interest in artificial intelligence methods tailored to this data type is similarly increasing across a range of application domains. Here, regression, i.e., the modelling of the association between... Read More about Visualization of Interval Regression for Facilitating Data and Model Insight.

Interval-Valued Regression - Sensitivity to Data Set Features (2021)
Conference Proceeding
Kabir, S., & Wagner, C. (in press). Interval-Valued Regression - Sensitivity to Data Set Features. In 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). https://doi.org/10.1109/fuzz45933.2021.9494554

Regression represents one of the most basic building blocks of data analysis and AI. Despite growing interest in interval-valued data across various fields, approaches to establish regression models for interval-valued data which address and handle t... Read More about Interval-Valued Regression - Sensitivity to Data Set Features.

A Fuzzy Logic-Based Trust Estimation in Edge-Enabled Vehicular Ad Hoc Networks (2021)
Conference Proceeding
Hasan, M. M., Jahan, M., Kabir, S., & Wagner, C. (in press). A Fuzzy Logic-Based Trust Estimation in Edge-Enabled Vehicular Ad Hoc Networks. . https://doi.org/10.1109/fuzz45933.2021.9494428

Trust estimation of vehicles is vital for the correct functioning of Vehicular Ad Hoc Networks (VANETs) as it enhances their security by identifying reliable vehicles. However, accurate trust estimation still remains distant as existing works do not... Read More about A Fuzzy Logic-Based Trust Estimation in Edge-Enabled Vehicular Ad Hoc Networks.

A Bidirectional Subsethood Based Fuzzy Measure for Aggregation of Interval-Valued Data (2020)
Conference Proceeding
Kabir, S., & Wagner, C. (2020). A Bidirectional Subsethood Based Fuzzy Measure for Aggregation of Interval-Valued Data. In Information Processing and Management of Uncertainty in Knowledge-Based Systems (603-617). https://doi.org/10.1007/978-3-030-50143-3_48

Recent advances in the literature have leveraged the fuzzy integral (FI), a powerful multi-source aggregation operator, where a fuzzy measure (FM) is used to capture the worth of all combinations of subsets of sources. While in most applications, the... Read More about A Bidirectional Subsethood Based Fuzzy Measure for Aggregation of Interval-Valued Data.

A Similarity Measure Based on Bidirectional Subsethood for Intervals (2020)
Journal Article
Kabir, S., Wagner, C., Havens, T. C., & Anderson, D. T. (2020). A Similarity Measure Based on Bidirectional Subsethood for Intervals. IEEE Transactions on Fuzzy Systems, 28(11), 2890-2904. https://doi.org/10.1109/tfuzz.2019.2945249

With a growing number of areas leveraging interval-valued data-including in the context of modeling human uncertainty (e.g., in cybersecurity), the capacity to accurately and systematically compare intervals for reasoning and computation is increasin... Read More about A Similarity Measure Based on Bidirectional Subsethood for Intervals.

Measuring Similarity Between Discontinuous Intervals - Challenges and Solutions (2019)
Conference Proceeding
Kabir, S., Wagner, C., Havens, T. C., & Anderson, D. T. (in press). Measuring Similarity Between Discontinuous Intervals - Challenges and Solutions. . https://doi.org/10.1109/fuzz-ieee.2019.8858862

Discontinuous intervals (DIs) arise in a wide range of contexts, from real world data capture of human opinion to α-cuts of non-convex fuzzy sets. Commonly, for assessing the similarity of DIs, the latter are converted into their continuous form, fol... Read More about Measuring Similarity Between Discontinuous Intervals - Challenges and Solutions.

A Bidirectional Subsethood Based Similarity Measure for Fuzzy Sets (2018)
Conference Proceeding
Kabir, S., Wagner, C., Havens, T. C., & Anderson, D. T. A Bidirectional Subsethood Based Similarity Measure for Fuzzy Sets. In 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). https://doi.org/10.1109/fuzz-ieee.2018.8491669

Similarity measures are useful for reasoning about fuzzy sets. Hence, many classical set-theoretic similarity measures have been extended for comparing fuzzy sets. In previous work, a set-theoretic similarity measure considering the bidirectional sub... Read More about A Bidirectional Subsethood Based Similarity Measure for Fuzzy Sets.

Determining Firing Strengths Through a Novel Similarity Measure to Enhance Uncertainty Handling in Non-singleton Fuzzy Logic Systems (2017)
Conference Proceeding
Pekaslan, D., Kabir, S., Garibaldi, J. M., & Wagner, C. (2017). Determining Firing Strengths Through a Novel Similarity Measure to Enhance Uncertainty Handling in Non-singleton Fuzzy Logic Systems. In Proceedings of the 9th International Joint Conference on Computational Intelligence - Volume 0IJCCI (83-90). https://doi.org/10.5220/0006502000830090

Non-singleton Fuzzy Logic Systems have the potential to tackle uncertainty within the design of fuzzy systems. The inference process has a major role in determining results, being partly based on the interaction of input and antecedent fuzzy sets (in... Read More about Determining Firing Strengths Through a Novel Similarity Measure to Enhance Uncertainty Handling in Non-singleton Fuzzy Logic Systems.

Novel similarity measure for interval-valued data based on overlapping ratio (2017)
Conference Proceeding
Kabir, S., Wagner, C., Havens, T. C., Anderson, D. T., & Aickelin, U. (2017). Novel similarity measure for interval-valued data based on overlapping ratio. . https://doi.org/10.1109/fuzz-ieee.2017.8015623

In computing the similarity of intervals, current similarity measures such as the commonly used Jaccard and Dice measures are at times not sensitive to changes in the width of intervals, producing equal similarities for substantially different pairs... Read More about Novel similarity measure for interval-valued data based on overlapping ratio.

ISOLATING INFORMATIVE BLOCKS FROM LARGE WEB PAGES USING HTML TAG PRIORITY ASSIGNMENT BASED APPROACH (2015)
Journal Article
Kabir, R., Kabir, S., & Amin, S. (2015). ISOLATING INFORMATIVE BLOCKS FROM LARGE WEB PAGES USING HTML TAG PRIORITY ASSIGNMENT BASED APPROACH. Electrical & Computer Engineering: An International Journal (ECIJ), 4(3),

Searching useful information from the web, a popular activity, often involves huge irrelevant contents or noises leading to difficulties in extracting useful information. Indeed, search engines, crawlers and information agents may often fail to separ... Read More about ISOLATING INFORMATIVE BLOCKS FROM LARGE WEB PAGES USING HTML TAG PRIORITY ASSIGNMENT BASED APPROACH.

A Score based Web Page Ranking Algorithm (2015)
Journal Article
ShamiulAmin, M., Kabir, S., & Kabir, R. A Score based Web Page Ranking Algorithm. International Journal of Computer Applications, 110(12), 11-15. https://doi.org/10.5120/19367-1035

With the explosive growth of information in the Web, users face difficulties while finding their desired information. Search engine helps the user by retrieving useful information from this huge collection based on his/her search query and presents a... Read More about A Score based Web Page Ranking Algorithm.

Capturing Browsing Interests of Users into Web Usage Profiles (2012)
Presentation / Conference
Kabir, S., Mudur, S., & Shiri, N. (2012, July). Capturing Browsing Interests of Users into Web Usage Profiles. Presented at 26th AAAI Conference on Artificial Intelligence (AAAI-12), Toronto, Ontario, Canada

We present a new weighted session similarity measure to capture the browsing interests of users in web usage profiles discovered from web log data. We base our similarity measure on the reasonable assumption that when users spend longer times on page... Read More about Capturing Browsing Interests of Users into Web Usage Profiles.

Video Conferencing Over Very Narrow Band Internet Using Image Metamorphosis (2011)
Journal Article
Mukarram IIossain, A. N., Kabir, S., & Haider Ati, M. (2011). Video Conferencing Over Very Narrow Band Internet Using Image Metamorphosis. Dhaka University Journal of Applied Science & Engineering, 1(2),

A Video conference is a set of interactive telecommunication technologies which allows two or more locations to interact via two-way video and audio transmission simultaneously. Image Metamorphosis or image morphing is a power tool for creating visua... Read More about Video Conferencing Over Very Narrow Band Internet Using Image Metamorphosis.

Human Facial Expression Recognition Using Region-based Motion Estimation (2010)
Journal Article
Kabir, A., & Kabir, S. (2010). Human Facial Expression Recognition Using Region-based Motion Estimation. Dhaka University Journal of Science, 58(2),

Facial expressions are the indicators to a person’s emotional state and also the principle means of human non-verbal communication. If computers would have the ability to perceive and respond to facial expressions, the human-computer interaction woul... Read More about Human Facial Expression Recognition Using Region-based Motion Estimation.

A Modified Approach to Improve the Performance of Lazy Release Consistency (LRC) Model (2010)
Journal Article
Jahan, M., Kabir, S., & Asif Hossain Khan, M. (2010). A Modified Approach to Improve the Performance of Lazy Release Consistency (LRC) Model. Dhaka University Journal of Science, 58(1), 49-53

This paper proposes a method for improving the performance of existing Lazy Release Consistency (LRC) model. In LRC model, before accessing a shared page a processor must acquire a lock associated with it as well as achieve all modifications made by... Read More about A Modified Approach to Improve the Performance of Lazy Release Consistency (LRC) Model.