Mahdi H. Miraz
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View article: AstuteRAG-FQA: Task-Aware Retrieval-Augmented Generation Framework for Proprietary Data Challenges in Financial Question Answering
AstuteRAG-FQA: Task-Aware Retrieval-Augmented Generation Framework for Proprietary Data Challenges in Financial Question Answering Open
Retrieval-Augmented Generation (RAG) shows significant promise in knowledge-intensive tasks by improving domain specificity, enhancing temporal relevance and reducing hallucinations. However, applying RAG to finance encounters critical cha…
View article: Deep Neural Watermarking for Robust Copyright Protection in 3D Point Clouds
Deep Neural Watermarking for Robust Copyright Protection in 3D Point Clouds Open
The protection of intellectual property has become critical due to the rapid growth of three-dimensional content in digital media. Unlike traditional images or videos, 3D point clouds present unique challenges for copyright enforcement, as…
View article: 6G communications through sub-Terahertz CMOS power amplifiers: Design challenges and trends
6G communications through sub-Terahertz CMOS power amplifiers: Design challenges and trends Open
The fifth-generation (5G) network faces limitations in supporting emerging applications, such as artificial intelligence (AI), virtual reality (VR) and digital twins. To overcome these confines, sub-Terahertz (sub-THz) and Terahertz (THz) …
View article: Enhancing Depressive Post Detection in Bangla: A Comparative Study of TF-IDF, BERT and FastText Embeddings
Enhancing Depressive Post Detection in Bangla: A Comparative Study of TF-IDF, BERT and FastText Embeddings Open
Due to massive adoption of social media, detection of users’ depression through social media analytics bears significant importance, particularly for underrepresented languages, such as Bangla. This study introduces a well-grounded approac…
View article: 6G communications through sub-Terahertz CMOS power amplifiers: Design challenges and trends
6G communications through sub-Terahertz CMOS power amplifiers: Design challenges and trends Open
The fifth-generation (5G) network faces limitations in supporting emerging applications, such as artificial intelligence (AI), virtual reality (VR) and digital twins. To overcome these confines, sub-Terahertz (sub-THz) and Terahertz (THz) …
View article: Low latency FPGA implementation of twisted Edward curve cryptography hardware accelerator over prime field
Low latency FPGA implementation of twisted Edward curve cryptography hardware accelerator over prime field Open
View article: The Evolution of Zero Trust Architecture (ZTA) from Concept to Implementation
The Evolution of Zero Trust Architecture (ZTA) from Concept to Implementation Open
Zero Trust Architecture (ZTA) is one of the paradigm changes in cybersecurity, from the traditional perimeter-based model to perimeterless. This article studies the core concepts of ZTA, its beginning, a few use cases and future trends. Em…
View article: Optimised Design of a Current Mirror in 150 nm GaAs Technology
Optimised Design of a Current Mirror in 150 nm GaAs Technology Open
View article: <span>The Evolution of Zero Trust Architecture (ZTA) from Concept to Implementation</span>
<span>The Evolution of Zero Trust Architecture (ZTA) from Concept to Implementation</span> Open
View article: Optimised Design of a Current Mirror in 150 nm GaAs Technology
Optimised Design of a Current Mirror in 150 nm GaAs Technology Open
The Current Mirror (CM) is a basic building block commonly used in analogue and mixed-signal integrated circuits. Its significance lies in its ability to replicate and precisely regulate the current, making it crucial in various applicatio…
View article: Enhancing Depressive Post Detection in Bangla: A Comparative Study of TF-IDF, BERT and FastText Embeddings
Enhancing Depressive Post Detection in Bangla: A Comparative Study of TF-IDF, BERT and FastText Embeddings Open
Due to massive adoption of social media, detection of users' depression through social media analytics bears significant importance, particularly for underrepresented languages, such as Bangla. This study introduces a well-grounded approac…
View article: Enhancing Depressive Post Detection in Bangla: A Comparative Study of TF-IDF, BERT and FastText Embeddings
Enhancing Depressive Post Detection in Bangla: A Comparative Study of TF-IDF, BERT and FastText Embeddings Open
Due to massive adoption of social media, detection of users’ depression through social media analytics bears significant importance, particularly for underrepresented languages, such as Bangla. This study introduces a well-grounded approac…
View article: Enhancing Robot Navigation Efficiency Using Cellular Automata with Active Cells
Enhancing Robot Navigation Efficiency Using Cellular Automata with Active Cells Open
Enhancing robot navigation efficiency is a crucial objective in modern robotics. Robots relying on external navigation systems are often susceptible to electromagnetic interference (EMI) and encounter environmental disturbances, resulting …
View article: Design of a W-band High-PAE Class A & AB Power Amplifier in 150 nm GaAs Technology
Design of a W-band High-PAE Class A & AB Power Amplifier in 150 nm GaAs Technology Open
View article: Optimisation and Performance Computation of a Phase Frequency Detector Module for IoT Devices
Optimisation and Performance Computation of a Phase Frequency Detector Module for IoT Devices Open
The Internet of Things (IoT) is pivotal in transforming the way we live and interact with our surroundings. To cope with the advancement in technologies, it is vital to acquire accuracy with the speed. A phase frequency detector (PFD) is a…
View article: Enhancing Depressive Post Detection in Bangla: A Comparative Study of TF-IDF, BERT and FastText Embeddings
Enhancing Depressive Post Detection in Bangla: A Comparative Study of TF-IDF, BERT and FastText Embeddings Open
View article: Design of a W-band High-PAE Class A &amp; AB Power Amplifier in 150nm GaAs Technology
Design of a W-band High-PAE Class A & AB Power Amplifier in 150nm GaAs Technology Open
View article: Deep Learning Based Cyberbullying Detection in Bangla Language
Deep Learning Based Cyberbullying Detection in Bangla Language Open
The Internet is currently the largest platform for global communication including expressions of opinions, reviews, contents, images, videos and so forth. Moreover, social media has now become a very broad and highly engaging platform due …
View article: Exploring the Emerging Technologies Within the Blockchain Landscape
Exploring the Emerging Technologies Within the Blockchain Landscape Open
View article: iCCECE 2023 Cover Page
iCCECE 2023 Cover Page Open
View article: Table of Contents
Table of Contents Open
View article: CMOS low noise amplifier design trends towards millimeter-wave IoT sensors
CMOS low noise amplifier design trends towards millimeter-wave IoT sensors Open
Millimeter Wave (mm-wave) technology is a prerequisite to ensure ubiquitous wireless communication, given the rapid growth of the Internet of Things (IoT) infrastructure that integrates emerging technologies such as virtual reality (VR), a…
View article: Early Diagnosis of Dementia Patients by SPADE Activity Prediction Algorithm
Early Diagnosis of Dementia Patients by SPADE Activity Prediction Algorithm Open
Dementia is not a specific disease, but a general term for age-related decline or loss of memory, cognitive abilities including problem solving and decision-making, and one’s own language, which significantly interfere with daily life. Res…
View article: A Novel Defocus-Blur Region Detection Approach Based on DCT Feature and PCNN Structure
A Novel Defocus-Blur Region Detection Approach Based on DCT Feature and PCNN Structure Open
The motion or out-of-focus effect in digital images is the main reason for\nthe blurred regions in defocused-blurred images. It may adversely affect\nvarious image features such as texture, pixel, and region. Therefore, it is\nimportant to…
View article: A Novel Defocus-Blur Region Detection Approach Based on DCT Feature and PCNN Structure
A Novel Defocus-Blur Region Detection Approach Based on DCT Feature and PCNN Structure Open
View article: An Automatic Premature Ventricular Contraction Recognition System Based on Imbalanced Dataset and Pre-Trained Residual Network Using Transfer Learning on ECG Signal
An Automatic Premature Ventricular Contraction Recognition System Based on Imbalanced Dataset and Pre-Trained Residual Network Using Transfer Learning on ECG Signal Open
The development of automatic monitoring and diagnosis systems for cardiac patients over the internet has been facilitated by recent advancements in wearable sensor devices from electrocardiographs (ECGs), which need the use of patient-spec…
View article: CoNTESA 2022 Cover Page
CoNTESA 2022 Cover Page Open
View article: Compact Low-dropout Linear Regulator Design in 0.13 µm CMOS Technology for IoT Based Remote Infectious Disease Monitoring System
Compact Low-dropout Linear Regulator Design in 0.13 µm CMOS Technology for IoT Based Remote Infectious Disease Monitoring System Open
With the widespread adoption of the internet of things (IoT), power management of the different electronic (i.e. IoT) devices has become a major challenge. The low-dropout linear regulator (LDO) circuit is widely used for power management …
View article: Privacy-preserved Secure Medical Data Sharing Using Hierarchical Blockchain in Edge Computing
Privacy-preserved Secure Medical Data Sharing Using Hierarchical Blockchain in Edge Computing Open
A distributed ledger technology, embedded with privacy and security by architecture, provides a transparent application developing platform. Additionally, edge technology is trending rapidly which brings the computing and data storing faci…
View article: Recent Advances in Stretchable and Wearable Capacitive Electrophysiological Sensors for Long-Term Health Monitoring
Recent Advances in Stretchable and Wearable Capacitive Electrophysiological Sensors for Long-Term Health Monitoring Open
Over the past several years, wearable electrophysiological sensors with stretchability have received significant research attention because of their capability to continuously monitor electrophysiological signals from the human body with m…