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Results for “"Md Jaber Al Nahian"”

16+ results

Towards an Accelerometer-Based Elderly Fall Detection System Using Cross-Disciplinary Time Series Features

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Md Jaber Al Nahian, Tapotosh Ghosh, Md. Hasan Al Banna, Mohammed Aseeri et al.

Journal: IEEE Access 2021
Year:
Citations: 125

Fall causes trauma or critical injury among the geriatric population which is a second leading accidental cause of post-injury mortality around the world. It is crucial to keep elderly people under supervision by ensuring proper privacy and comfort. Thus the elderly fall detection and prediction usi...

Physical SciencesComputer ScienceComputer Vision and Pattern RecognitionOpen Access
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Attention-Based Bi-Directional Long-Short Term Memory Network for Earthquake Prediction

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Md. Hasan Al Banna, Tapotosh Ghosh, Md Jaber Al Nahian, Kazi Abu Taher et al.

Journal: IEEE AccessYear: 2021Citations: 93

An earthquake is a tremor felt on the surface of the earth created by the movement of the major pieces of its outer shell. Till now, many attempts have been made to forecast earthquakes, which saw some success, but these attempted models are specific to a region. In this paper, an earthquake occurre...

Physical SciencesEarth and Planetary SciencesGeophysicsOpen Access
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Towards Artificial Intelligence Driven Emotion Aware Fall Monitoring Framework Suitable for Elderly People with Neurological Disorder

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Md Jaber Al Nahian, Tapotosh Ghosh, Mohammed Nasir Uddin, Md. Maynul Islam et al.

Journal: Lecture notes in computer scienceYear: 2020Citations: 69
Physical SciencesComputer ScienceComputer Vision and Pattern Recognition
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A Hybrid Deep Learning Model to Predict the Impact of COVID-19 on Mental Health From Social Media Big Data

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Md. Hasan Al Banna, Tapotosh Ghosh, Md Jaber Al Nahian, M. Shamim Kaiser et al.

Journal: IEEE AccessYear: 2023Citations: 67

The novel coronavirus disease (COVID-19) pandemic is provoking a prevalent consequence on mental health because of less interaction among people, economic collapse, negativity, fear of losing jobs, and death of the near and dear ones. To express their mental state, people often are using social medi...

Social SciencesPsychologySocial PsychologyOpen Access
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An attention-based hybrid architecture with explainability for depressive social media text detection in Bangla

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Tapotosh Ghosh, Md. Hasan Al Banna, Md Jaber Al Nahian, Mohammed Nasir Uddin et al.

Journal: Expert Systems with ApplicationsYear: 2022Citations: 61

Mental health has become a major concern in recent years. Social media have been increasingly used as platforms to gain insight into a person’s mental health condition by analysing the posts and comments, which are textual in nature. By analysing these texts, depressive posts can be detected. To fac...

Social SciencesPsychologySocial PsychologyOpen Access
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Camera Model Identification using Deep CNN and Transfer Learning Approach

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Md. Hasan Al Banna, Md Ali Haider, Md Jaber Al Nahian, Md. Maynul Islam et al.

Journal: 2019 International Conference on Robotics,Electrical and Signal Processing Techniques (ICREST)Year: 2019Citations: 34

The forensic investigation on digital images is to assess the authenticity of images without the embedded security on the images. The camera model identification is the first step for image forensic investigation. The paper proposes the deep Convolutional Neural Network and transfer learning approac...

Physical SciencesComputer ScienceComputer Vision and Pattern Recognition
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An Attention-Based Mood Controlling Framework for Social Media Users

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Tapotosh Ghosh, Md. Hasan Al Banna, Tazkia Mim Angona, Md Jaber Al Nahian et al.

Journal: Lecture notes in computer scienceYear: 2021Citations: 33
Physical SciencesComputer ScienceArtificial Intelligence
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A Hybrid Deep Learning Model to Predict the Impact of COVID-19 on Mental Health form Social Media Big Data

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Tapotosh Ghosh, Md. Hasan Al Banna, Md Jaber Al Nahian, Kazi Abu Taher et al.

Journal: Preprints.orgYear: 2021Citations: 28

The novel coronavirus disease (COVID-19) pandemic is provoking a prevalent consequence on mental health because of less interaction among people, economic collapse, negativity, fear of losing jobs, and death of the near and dear ones. To express their mental state, people often are using social medi...

Social SciencesPsychologySocial PsychologyOpen Access
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A Privacy-Preserving Federated-MobileNet for Facial Expression Detection from Images

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Tapotosh Ghosh, Md. Hasan Al Banna, Md Jaber Al Nahian, M. Shamim Kaiser et al.

Journal: Communications in computer and information scienceYear: 2022Citations: 22
Physical SciencesComputer ScienceComputer Vision and Pattern Recognition
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Contactless Fall Detection for the Elderly

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Md Jaber Al Nahian, Mehedi Hasan Raju, Zarin Tasnim, Mufti Mahmud et al.

Journal: Intelligent systems reference libraryYear: 2021Citations: 17
Physical SciencesComputer ScienceComputer Vision and Pattern Recognition
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A Hybrid Deep Learning Approach to Detect Bangla Social Media Hate Speech

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Tapotosh Ghosh, Ashraf Alam Khan Chowdhury, Md. Hasan Al Banna, Md Jaber Al Nahian et al.

Journal: Lecture notes in networks and systemsYear: 2022Citations: 8
Physical SciencesComputer ScienceArtificial Intelligence
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Social Group Optimized Machine-Learning Based Elderly Fall detection Approach Using Interdisciplinary Time-Series Features

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Md Jaber Al Nahian, Tapotosh Ghosh, Md. Hasan Al Banna, Mohammed Nasir Uddin et al.

Year: 2021Citations: 7

Fall can be life-taking for elderly people. Early recognition of fall events can reduce the impact among this people. Fall detection has become an active research area now a days. Many researches have been carried out using a lot of sensors and deep learning algorithms that are costly and computatio...

Physical SciencesComputer ScienceComputer Vision and Pattern Recognition
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Detection of Diabetes Using 1D Convolutional Neural Network from Short Time PPG Signal

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Md. Shaheenur Islam Sumon, Tasmir Ahmed, Muntakim Mahmud Khan, Md. Mezbah Ahmed Mahedi et al.

Year: 2023Citations: 5

Diabetes is a prevalent and chronic condition requiring effective surveillance and categorization. In recent years, the analysis of physiological signals, such as photoplethysmography (PPG), has arisen as a promising detection and classification technique for diabetes. The main focus of this study i...

Physical SciencesEngineeringBiomedical Engineering
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Using Ensemble Approaches and Different Sampling Techniques to Handle Class Imbalance Challenges in Coronary Heart Disease Prediction

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M. Sohel Rahman, Md Istakiak Adnan Palash, Marufa Sultana Sumi, Muntasir Rahman et al.

Year: 2023Citations: 4

Coronary Heart Disease (CHD) has a significant impact on death rates worldwide; therefore, early and accurate prediction is vital for enhancing timely prevention and improving patient outcomes. However, predicting CHD is challenging because of the imbalanced nature of the dataset. A number of sampli...

Health SciencesHealth ProfessionsHealth Information Management
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Investigation on Heart Attack Prediction Based on the Different Machine Learning Approaches

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Lutfar Rahman Bokshi, Md. Hasan Al Banna, Tapotosh Ghosh, Md Jaber Al Nahian et al.

Journal: Studies in Rhythm EngineeringYear: 2022Citations: 4
Health SciencesHealth ProfessionsHealth Information Management
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