Search Results - "Sanam, Tahsina Farah"

A Multi-View Discriminant Learning Approach for Indoor Localization Using Amplitude and Phase Features of CSI by Sanam, Tahsina Farah, Godrich, Hana

“…Location Based Service (LBS) is one of the important aspects of a smart city. Accurate indoor localization plays a vital role in LBS. The ability to localize…”
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Privacy-preserving human activity recognition using principal component-based wavelet CNN by Pervin, Nadira, Sanam, Tahsina Farah, Imtiaz, Hafiz

“…Human activity recognition (HAR) is crucial in applications such as smart homes, interactive games, surveillance, security, and healthcare. In recent years,…”
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A deep convolutional neural network-based approach for detecting burn severity from skin burn images by Suha, Sayma Alam, Sanam, Tahsina Farah

“…Burns being one of the leading causes of clinically significant morbidity can lead to a dramatic physiological reaction with prolonged repercussions, metabolic…”
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Exploring dominant factors for ensuring the sustainability of utilizing artificial intelligence in healthcare decision making: An emerging country context by Suha, Sayma Alam, Sanam, Tahsina Farah

“…•Investigated key indicators for sustainable AI-based healthcare decision-making system•Evaluated importance of indicators considering emerging economy from…”
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A fuzzy model for predicting burn patients’ intravenous fluid resuscitation rate by Suha, Sayma Alam, Akhtaruzzaman, M., Sanam, Tahsina Farah

“…One of the critical areas in the medical field is the burn treatment management that helps to rescue patient’s life by dramatically minimizing the after-burn…”
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An Improved Machine Learning Based Customer Churn Prediction for Insight and Recommendation in E-commerce by Jahan, Ishrat, Farah Sanam, Tahsina

“…Since keeping existing customers costs far less in e-commerce, recruiting new customers is no longer a wise approach. Therefore, businesses are increasingly…”
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DCT-Based Feature Extraction for Human Activity Recognition Using WiFi Channel State Information Data by Showmik, Ishtiaque Ahmed, Sanam, Tahsina Farah, Imtiaz, Hafiz

“…Human Activity Recognition (HAR) exploits WiFi signals to offer behavioral sensing for various practical applications, such as patient monitoring in hospitals,…”
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A Novel Geometric Visualization of Dual-lead ECG Signals for Beat-by-beat Arrhythmia Detection with a 2D CNN Deep Learning Classifier by Sadik, Farhan, Showmik, Ishtiaque A., Morshed, Bashir I., Sanam, Tahsina Farah

“…Electrocardiogram (ECG) has become prevalent for identifying irregular heartbeats, known as arrhythmia. Thanks to the rapid advancements in deep learning (DL),…”
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Beat-wise Classification of Arrhythmia Using Novel Combination of ECG Signal-Specific and Signal-Independent Features with ML Algorithms by Showmik, Ishtiaque A., Sadik, Farhan, Morshed, Bashir I., Farah Sanam, Tahsina

“…Cardiovascular diseases (CVDs) can be diagnosed using electrocardiogram (ECG/EKG) data, which depict the electrical activity of the heart and provide…”
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Predicting Bum Injury Intensity from Skin Bum Images with Hybrid Machine Learning Technique by Suha, Sayma Alam, Sanam, Tahsina Farah

“…Burns are one of the principal contributors of major clinical catastrophe, which can result in strong physiological reaction with long-lasting effects if…”
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A Convolutional Neural Network Based Device-Free Indoor Localization Using CSI by Rahman, Md. Arif, Fuad, Abu M., Sanam, Tahsina Farah

“…Device-free indoor localization has gained significant attention in recent years in the fields of wireless sensing and machine learning. This paper proposes an…”
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Ensemble based Machine Learning Approach for Predicting Customer Churn in E-Commerce by Masroor, Mohammad Irtiza, Sadman Sakib, K. M., Hasan, Mahmudul, Al Arman, Md Abdullah, Dey, Pronay, Sanam, Tahsina Farah

“…Due to the intense competition among E-Commerce industries, customers have a large selection of products to choose from and as a result, these industries…”
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A Comparative Evaluation for Forecasting Diabetic Patients' Hospital Readmission within 30 Days through Machine Learning Techniques by Sheila, Tania Sultana, Nishat, Nusrat Jahan, Tanjila, Aklima Haque, Nuri, Jannatul, Sanam, Tahsina Farah, Suha, Sayma Alam

“…Readmission to the hospital can place a heavy burden on patients and healthcare institutions with limited resources. Early intervention and better healthcare…”
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Human Activity Recognition from Wi-Fi CSI data using Principal Component-based Wavelet CNN by Showmik, Ishtiaque Ahmed, Sanam, Tahsina Farah, Imtiaz, Hafiz

“…Human Activity Recognition (HAR) is an emerging technology with applications in the surveillance, security, and healthcare sectors. Noninvasive HAR systems…”
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FuseLoc: A CCA Based Information Fusion for Indoor Localization Using CSI Phase and Amplitude of Wifi Signals by Sanam, Tahsina Farah, Godrich, Hana

“…With the growth of location based services, indoor localization is attracting great interests as it facilitates further ubiquitous environments. In this paper,…”
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Device Free Indoor Localization Using Discriminant Features of CSI A Canonical Correlation Paradigm by Sanam, Tahsina Farah, Godrich, Hana

“…With the growth of context-aware computing, Indoor localization based on Wi-Fi signals is gaining popularity due to the widespread deployment of Wi-Fi…”
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Noisy speech enhancement based on an adaptive threshold and a modified hard thresholding function in wavelet packet domain by Sanam, Tahsina Farah, Shahnaz, Celia

“…This paper proposes a speech enhancement approach, which statistically determines an adaptive threshold using the Teager energy operated WP coefficients of…”
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A semisoft thresholding method based on Teager energy operation on wavelet packet coefficients for enhancing noisy speech by Sanam, Tahsina Farah, Shahnaz, Celia

“…The performance of thresholding-based methods for speech enhancement largely depends upon the estimation of the exact threshold value. In this paper, a new…”
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A Channel State Information Based Device Free Indoor Localization for Context Aware Computing: A Machine Learning Approach by Sanam, Tahsina Farah

“…Learning important human contextual information is one of the fundamental features to establish a smart home environment. Location information is one of the…”
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Enhancement of noisy speech based on a custom thresholding function with a statistically determined threshold by Sanam, Tahsina Farah, Shahnaz, Celia

“…Performance of the thresholding based speech enhancement methods largely depend on the estimate of the exact threshold value as well as on the choice of the…”
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