Ebrahim Farahmand
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View article: AttenGluco: Multimodal Transformer-Based Blood Glucose Forecasting on AI-READI Dataset
AttenGluco: Multimodal Transformer-Based Blood Glucose Forecasting on AI-READI Dataset Open
Diabetes is a chronic metabolic disorder characterized by persistently high blood glucose levels (BGLs), leading to severe complications such as cardiovascular disease, neuropathy, and retinopathy. Predicting BGLs enables patients to maint…
View article: Hybrid Attention Model Using Feature Decomposition and Knowledge Distillation for Glucose Forecasting
Hybrid Attention Model Using Feature Decomposition and Knowledge Distillation for Glucose Forecasting Open
The availability of continuous glucose monitors as over-the-counter commodities have created a unique opportunity to monitor a person's blood glucose levels, forecast blood glucose trajectories and provide automated interventions to preven…
View article: Exploring DNN Robustness Against Adversarial Attacks Using Approximate Multipliers
Exploring DNN Robustness Against Adversarial Attacks Using Approximate Multipliers Open
Deep Neural Networks (DNNs) have advanced in many real-world applications, such as healthcare and autonomous driving. However, their high computational complexity and vulnerability to adversarial attacks are ongoing challenges. In this let…
View article: An Edge-Based WiFi Fingerprinting Indoor Localization Using Convolutional Neural Network and Convolutional Auto-Encoder
An Edge-Based WiFi Fingerprinting Indoor Localization Using Convolutional Neural Network and Convolutional Auto-Encoder Open
With the ongoing development of Indoor Location-Based Services, the location information of users in indoor environments has been a challenging issue in recent years. Due to the widespread use of WiFi networks, WiFi fingerprinting has beco…
View article: An Edge-based WiFi Fingerprinting Indoor Localization Using Convolutional Neural Network and Convolutional Auto-Encoder
An Edge-based WiFi Fingerprinting Indoor Localization Using Convolutional Neural Network and Convolutional Auto-Encoder Open
With the ongoing development of Indoor Location-Based Services, the location information of users in indoor environments has been a challenging issue in recent years. Due to the widespread use of WiFi networks, WiFi fingerprinting has beco…
View article: scaleTRIM: Scalable TRuncation-Based Integer Approximate Multiplier with Linearization and Compensation
scaleTRIM: Scalable TRuncation-Based Integer Approximate Multiplier with Linearization and Compensation Open
Approximate computing (AC) has become a prominent solution to improve the performance, area, and power/energy efficiency of a digital design at the cost of output accuracy. We propose a novel scalable approximate multiplier that utilizes a…
View article: Design and Analysis of High Performance Heterogeneous Block-based Approximate Adders
Design and Analysis of High Performance Heterogeneous Block-based Approximate Adders Open
Approximate computing is an emerging paradigm to improve the power and performance efficiency of error-resilient applications. As adders are one of the key components in almost all processing systems, a significant amount of research has b…
View article: High Performance and Optimal Configuration of Accurate Heterogeneous Block-Based Approximate Adder.
High Performance and Optimal Configuration of Accurate Heterogeneous Block-Based Approximate Adder. Open
Approximate computing is an emerging paradigm to improve power and performance efficiency for error-resilient application. Recent approximate adders have significantly extended the design space of accuracy-power configurable approximate ad…
View article: Energy-Efficient Clustering Protocol In Wireless Sensor Networks For Healthcare Monitoring
Energy-Efficient Clustering Protocol In Wireless Sensor Networks For Healthcare Monitoring Open
Wireless sensor networks (WSNs) can facilitate continuous monitoring of patients and increase early detection of emergency conditions and diseases. High density WSNs helps us to accurately monitor a remote environment by intelligently comb…