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Results for “"Raqeebir Rab"”

16+ results

Analysis of CT Scan Images to Predict Lung Cancer Stages Using Image Processing Techniques

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Mahmudul Islam, Al Hasib Mahamud, Raqeebir Rab

Year: 2019Citations: 34

Lung cancer is one of the most dangerous and common cancer diseases in the world. Early detection of lung cancer can increase survival time of a patient. It is difficult for doctors to identify the cancer stages from Computed Tomography (CT) scan images. In this era of technology computer-aided syst...

Physical Sciences
Computer Science
Artificial Intelligence
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Feasibility and Challenges of 5G Network Deployment in Least Developed Countries (LDC)

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A. S. A. Rahman, Salsabil Arabi, Raqeebir Rab

Journal: Wireless Sensor NetworkYear: 2021Citations: 26

Growing client population, ever-increasing service demand, and complexity of services are the driving factors for the mobile operators for a paradigm shift in their core technology and radio access networks. 5G mobile network is the result of this paradigm shift and currently under deployment in man...

Physical SciencesComputer ScienceComputer Networks and CommunicationsOpen Access
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Reducing the Effect of Imbalance in Text Classification Using SVD and GloVe with Ensemble and Deep Learning

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Tajbia Hossain, Humaira Zahin Mauni, Raqeebir Rab

Journal: Computing and InformaticsYear: 2022Citations: 18

Due to the recent escalation in the amount of text data available and used online, text classification has become a staple for data analysts when extracting relevant information. Yet, machine learning algorithms are susceptible to biases when implemented on any large-scale automated task, especially...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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Improved Self-Pruning for Broadcasting in Ad Hoc Wireless Networks

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Raqeebir Rab, Shaheed Ahmed Dewan Sagar, Nazmus Sakib, A.H.M. Mahmudul Haque et al.

Journal: Wireless Sensor NetworkYear: 2017Citations: 15

Reducing number of forwarding nodes is the main focus of any broadcasting algorithm designed for ad-hoc wireless networks. All reliable broadcasting techniques can be broadly classified under proactive and reactive approaches. In proactive approach, a node selects a subset of its neighbors as forwar...

Physical SciencesComputer ScienceComputer Networks and CommunicationsOpen Access
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Non-invasive Deception Detection in Videos Using Machine Learning Techniques

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Siam Islam, Popin Saha, Touhidul Chowdhury, Asif Sorowar et al.

Year: 2021Citations: 14

Deception detection has important clinical and legal implica-tions. Detecting deception is very effective in criminal investiga-tions, finding fake news, jurisprudence, law enforcement, and national security. Still, a reliable and Noninvasive deception technique is in progress. Deception detection u...

Social SciencesPsychologySocial Psychology
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Personality and emotion—A comprehensive analysis using contextual text embeddings

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Md. Ali Akber, Tahira Ferdousi, Rasel Ahmed, Risha Asfara et al.

Journal: Natural Language Processing JournalYear: 2024Citations: 11

Personality and emotions have always been closely intertwined since humans evolved, adapting to these two forms. Emotions are indicative of a person’s personality, and vice versa. This paper aims to investigate the complex relationship between these two fundamental aspects of human behavior using th...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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Machine Learning and Deep Learning Techniques For Genre Classification of Bangla Music

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Towkir Ahmed, M. Arfayet Alam, Rakesh Roshan Paul, Tanvir Hasan et al.

Year: 2022Citations: 10

Music genre classification is extremely important for both music recommendation and acquisition of music data, as well as for music discovery. There have already been a vast amount of researches conducted on the classification of music genres using various machine learning algorithms. Despite the fa...

Physical SciencesComputer ScienceSignal Processing
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Efficient Feature Selection for Detecting Botnets based on Network Traffic and Behavior Analysis

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Md. Imtiyaz Hossain, Sakib Eshrak, Minhaj Jami Auvik, Syed Faiz Nasim et al.

Year: 2020Citations: 10

Ensuring integrity and security of computer networks is one of the growing concerns. The number of malware specifically designed to damage, disrupt or perform illegitimate actions on data, networks or hosts are increasing day by day. Detection of hosts infected by malware known as bots is the main f...

Physical SciencesComputer ScienceComputer Networks and Communications
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A rule‐based method to effectively adopt robotic process automation

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Maxime Bédard, Abderrahmane Leshob, Imen Benzarti, Hafedh Mili et al.

Journal: Journal of Software Evolution and ProcessYear: 2024Citations: 9

Abstract Robotic Process Automation (RPA) is an emerging software technology for automating business processes. RPA uses software robots to perform repetitive and error‐prone tasks previously done by human actors quickly and accurately. These robots mimic humans by interacting with existing software...

Physical SciencesEngineeringIndustrial and Manufacturing EngineeringOpen Access
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On Feature Selection Algorithms for Effective Botnet Detection

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Meher Afroz, Muntaka Ibnath, Ashikur Rahman, Jakia Sultana et al.

Journal: Journal of Network and Systems ManagementYear: 2024Citations: 8

The threats of botnets are becoming a growing concern infecting more and more computers every day. Although botnets can be detected from their behavioral patterns, it is becoming more challenging to differentiate the behavior between the malicious traffic and the legitimate traffic as with the advan...

Physical SciencesComputer ScienceComputer Networks and Communications
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Classification of Underrepresented Text Data in an Imbalanced Dataset Using Deep Neural Network

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Humaira Zahin Mauni, Tajbia Hossain, Raqeebir Rab

Journal: 2020 IEEE Region 10 Symposium (TENSYMP)Year: 2020Citations: 8

Text classification is a well researched, much-explored topic for burgeoning researchers in the field of data mining. Yet, all the inadequacies that actual text data present during practical applications of these models in real life calls forth the need for further study. Imbalanced datasets, in par...

Physical SciencesComputer ScienceArtificial Intelligence
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Maximally pair-wise disjoint set covers for directional sensors in visual sensor networks

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Shahla Farzana, Khaleda Akther Papry, Ashikur Rahman, Raqeebir Rab

Year: 2016Citations: 8

Directional sensors in visual sensor networks (VSNs) spend most of their energy for two major tasks: sensing and communication. As sensing regions of directional sensors often overlap, the sensing task can be rotationally scheduled among different sensors. Thus, efficient scheduling of directional s...

Physical SciencesComputer ScienceComputer Networks and Communications
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Deep Learning-Based Model with XAI for Brain Tumor Classification and Segmentation Using MRI Images

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Sakibul Hasan, Maisha Musarrat Nabila, Rijeet Bin Anis, Raqeebir Rab

Year: 2023Citations: 6

Brain tumor classification & segmentation are crucial challenges in medical image analysis. Brain tumors are often incurable malignancies that arise from glial support cells. Medical study reveals that manual classification with human-assisted support might result in inaccurate prognosis and diagnos...

Life SciencesNeuroscienceNeurology
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Personality Prediction Based on Contextual Feature Embedding SBERT

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Md. Ali Akber, Tahira Ferdousi, Rasel Ahmed, Risha Asfara et al.

Year: 2023Citations: 6

Personality prediction defines an individual's interior self and provides an overview of their behavioral characteristics. Individuals can develop personally and professionally with its aid. Since its inception, the MBTI has become one of the most valuable instruments available due to its widespread...

Social SciencesPsychologySocial Psychology
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CoWrap: An Approach of Feature Selection for Network Anomaly Detection

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Anonnya Ghosh, Hussain Mohammed Ibrahim, Wasif Mohammad, Farhana Chowdhury Nova et al.

Journal: Lecture notes in networks and systemsYear: 2022Citations: 6
Physical SciencesComputer ScienceComputer Networks and Communications
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