Tamanna Siddiqui - IEEE Xplore Author Profile
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Tamanna Siddiqui

Publications
11
Citations
71
Publications by Year
20092023
Co-Authors:
Show All Co-Authors (14)
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Tamanna Siddiqui

Affiliation

Department of Computer Science
Aligarh Muslim University
Aligarh, India

Publication Topics

Biography

Tamanna Siddiqui is currently a Professor of computer science with Aligarh Muslim University, Aligarh, Uttar Pradesh, India. She has 23 years of rich national and international teaching experience, including 12 years in Jamia Hamdard, New Delhi, three years with the University of Dammam, Saudi Arabia, and eight years with Aligarh Muslim University. She has sound research knowledge and has supervised more than a dozen Ph.D. scholars in different fields of computer science. She has more than 75 publications in reputed journals and Scopus-indexed conferences. She has also published 13 books and two patents. She has contributed to many international journals and conferences as an editor, a member of the advisory board, a reviewer, a program com...
Publications
11
Citations
71
Publications by Year
20092023
Co-Authors:
Show All Co-Authors (14)
Author's Published Works

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Deep Learning-Based Heartbeat Classification of 12-Lead ECG Time Series Signal

Mohd Sakib;Suhel Mustajab;Tamanna Siddiqui

2023 4th International Conference on Data Analytics for Business and Industry (ICDABI)
Year: 2023 | Conference Paper |
Cited by: Papers (1)
Cardiovascular disease (CVD) is the most prevalent cause of mortality on a global scale. The possibility of preventing cardiac diseases is dependent on early-stage intervention. At this point, the electrocardiogram (ECG) emerges as a critical modality for detecting and predicting future cardiac abnormalities. Numerous machine-learning techniques have been used to improve result precision, computat...Show More

Deep Learning-Based Heartbeat Classification of 12-Lead ECG Time Series Signal

Mohd Sakib;Suhel Mustajab;Tamanna Siddiqui

Year: 2023 | Conference Paper |

Anomaly Detection of ECG Time Series Signal Using Auto Encoders Neural Network

Mohd Sakib;Tamanna Siddiqui

2023 7th International Conference On Computing, Communication, Control And Automation (ICCUBEA)
Year: 2023 | Conference Paper |
Cited by: Papers (5)
The electrocardiogram (ECG) time series signal is a vital diagnostic tool for detecting cardiovascular diseases. The signals have widely been used in the healthcare industry to assess the health of the human heart. Typically, medical professionals manually analyze the resulting time series signal to identify any arrhythmia in the patient. Numerous research efforts have been made to automate the an...Show More

Anomaly Detection of ECG Time Series Signal Using Auto Encoders Neural Network

Mohd Sakib;Tamanna Siddiqui

Year: 2023 | Conference Paper |

Attentional Multi-Channel Convolution With Bidirectional LSTM Cell Toward Hate Speech Prediction

Mohd Fazil;Shakir Khan;Bader M. Albahlal;Reemiah Muneer Alotaibi;Tamanna Siddiqui;Mohd Asif Shah

IEEE Access
Year: 2023 | Volume: 11 | Journal Article |
Cited by: Papers (31)
Online social networks(OSNs) facilitate their users in real-time communication but also open the door for several challenging problems like hate speech and fake news. This study discusses hate speech on OSNs and presents an automatic method to identify hate messages. We introduce an attentional multi-channel convolutional-BiLSTM network for the classification of hateful content. Our model uses exi...Show More

Attentional Multi-Channel Convolution With Bidirectional LSTM Cell Toward Hate Speech Prediction

Mohd Fazil;Shakir Khan;Bader M. Albahlal;Reemiah Muneer Alotaibi;Tamanna Siddiqui;Mohd Asif Shah

Year: 2023 | Volume: 11 | Journal Article |

An Algorithm to Certify Production Worthiness of Containerized Applications Based on NFT

Shadab Alam Siddiqui;Tamanna Siddiqui

2022 International Conference on Computer Communication and Informatics (ICCCI)
Year: 2022 | Conference Paper |
With the rapid pace of adoption of Container technology for applications development, it becomes imperative that all container-based applications should be categorized for their performance. Getting certified can be primarily done by its user after it goes live or before go-live, by unbiased authorities before it goes to production for end-user consumption. Before it goes to production, one of the...Show More

An Algorithm to Certify Production Worthiness of Containerized Applications Based on NFT

Shadab Alam Siddiqui;Tamanna Siddiqui

Year: 2022 | Conference Paper |

Comparative Analysis of Load Balancing Techniques in Cloud Computing, Based on LB Metrices

Fakhrun Jamal;Tamanna Siddiqui

2021 5th International Conference on Information Systems and Computer Networks (ISCON)
Year: 2021 | Conference Paper |
Cited by: Papers (4)
Cloud computing (CC) is a form of computing that uses the internet to distribute computer resources. This method has massive flaws. Load balancing is one of the most complex things. As a result of all this, the unwelcomed variable local workload would most likely be dispersed evenly over overall cloud nodes. This study covers existing cloud load balancing approaches and compares them based on vari...Show More

Comparative Analysis of Load Balancing Techniques in Cloud Computing, Based on LB Metrices

Fakhrun Jamal;Tamanna Siddiqui

Year: 2021 | Conference Paper |

Quantitative Data Analysis of Non-Functional Testing in Container Applications

Shadab Alam Sidqui;Tamanna Siddiqui

2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)
Year: 2021 | Conference Paper |
Cited by: Papers (2)
Container applications development is rapidly being adopted by application developers across domains. This is because of the efficiency and ease of maintenance that comes along with containerized applications. Although exponential acceptance of containerized solution has also brought in the complexity of the overall eco system that plays a bigger part in keeping container-based application product...Show More

Quantitative Data Analysis of Non-Functional Testing in Container Applications

Shadab Alam Sidqui;Tamanna Siddiqui

Year: 2021 | Conference Paper |

Comprehensive Analysis of Container Technology

Tamanna Siddiqui;Shadab Alam Siddiqui;Najeeb Ahmad Khan

2019 4th International Conference on Information Systems and Computer Networks (ISCON)
Year: 2019 | Conference Paper |
Cited by: Papers (18)
Containers is the new buzz word within the computer technology space. With the technology growing at an exponential pace and within a short span of time, the industry has evolved from native to virtualized, to cloud and now to container technology. This evolution is focused more on decoupling the software with the hardware and making software or applications more lean and agile. Containers has don...Show More

Comprehensive Analysis of Container Technology

Tamanna Siddiqui;Shadab Alam Siddiqui;Najeeb Ahmad Khan

Year: 2019 | Conference Paper |

Criminal Activity Detection in Social Network by Text Mining: Comprehensive Analysis

Tamanna Siddiqui;Abdullah Yahya Abdullah Amer;Najeeb Ahmad Khan

2019 4th International Conference on Information Systems and Computer Networks (ISCON)
Year: 2019 | Conference Paper |
Cited by: Papers (10)
Criminal activity detection in social network by text mining is the process of finding criminal activity by the criminals and help law text mining technique, the ability to detect hidden text from corpus documents. Text mining is process of transforming data from unstructured text to structured text which is easily perceived and processed by humans, but hard for machines to understand without desi...Show More

Criminal Activity Detection in Social Network by Text Mining: Comprehensive Analysis

Tamanna Siddiqui;Abdullah Yahya Abdullah Amer;Najeeb Ahmad Khan

Year: 2019 | Conference Paper |

Comparative study of data mining tools used for clustering

Parvej Aalam;Tamanna Siddiqui

2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom)
Year: 2016 | Conference Paper |
Clustering, a component of data mining is the process of grouping objects into several clusters such that objects in the same cluster have maximum similarity while the objects in different clusters has maximum dissimilarity. Clustering has been used in diverse fields including Text Mining, Pattern recognition, Image analysis, Bioinformatics, Machine Learning, Voice mining, Image processing, Web cl...Show More

Comparative study of data mining tools used for clustering

Parvej Aalam;Tamanna Siddiqui

Year: 2016 | Conference Paper |

A KDD System for the Discovery of Quantified Exception Rules

Tamanna Siddiqui;M. Afshar Alam

2009 International Conference on Advances in Computing, Control, and Telecommunication Technologies
Year: 2009 | Conference Paper |
The goal of KDD is broader and it is always interesting to discover exceptions, as they challenge the existing knowledge and often lead to the growth of knowledge in new directions. In proposed work a KDD system has been presented for the discovery of knowledge base which is a collection of quantified exception rules in the form of P→ D unless C: α, β, γ , δ Where α, β, γ , δ are quantified values...Show More

A KDD System for the Discovery of Quantified Exception Rules

Tamanna Siddiqui;M. Afshar Alam

Year: 2009 | Conference Paper |

Discovery of Quantified Hierarchical Censored Production Rules (QHCPR) from Large Data Set

Tamanna Siddiqui;M. Afshar Alam

2009 Asia-Pacific Conference on Information Processing
Year: 2009 | Conference Paper |
In this paper a Fusion algorithm is suggested in between two knowledge bases for discovery of QHCPR. HCPR system is capable of handling trade-off between the precision of an inference and its computational efficiency leading to trade-off between the certainty of a conclusion and its specificity. It is an attempt to use Dempster-Shafer interpretation of the HCPRs for the quantification to discover ...Show More

Discovery of Quantified Hierarchical Censored Production Rules (QHCPR) from Large Data Set

Tamanna Siddiqui;M. Afshar Alam

Year: 2009 | Conference Paper |

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