Nazmul Siddique
YOU?
Author Swipe
View article: Septicemia with Endotoxic Shock following Fetoreduction in a Triplet Pregnancy : A rare case of Multiorgan Failure and Successful Recovery
Septicemia with Endotoxic Shock following Fetoreduction in a Triplet Pregnancy : A rare case of Multiorgan Failure and Successful Recovery Open
Background: Sepsis during pregnancy, particularly in the context of fetal demise or invasive obstetric procedure, can progress rapidly to endotoxic shock and multi-organ failure, posing a significant threat to both maternal and fetal outco…
View article: BiFPN-YOLO: One-stage object detection integrating Bi-Directional Feature Pyramid Networks
BiFPN-YOLO: One-stage object detection integrating Bi-Directional Feature Pyramid Networks Open
Object detection is a key component in computer vision research, allowing a system to determine the location and type of object within any given scene. YOLOv5 is a modern object detection model, which utilises the advantages of the origina…
View article: Automated Industrial Load Station Inspection
Automated Industrial Load Station Inspection Open
The manufacturing sector heavily relies on fast and accurate material inspection to improve product quality and productivity. Computer vision approaches based on deep learning provide superior performance for automatic material inspection …
View article: AVaTER: Fusing Audio, Visual, and Textual Modalities Using Cross-Modal Attention for Emotion Recognition
AVaTER: Fusing Audio, Visual, and Textual Modalities Using Cross-Modal Attention for Emotion Recognition Open
Multimodal emotion classification (MEC) involves analyzing and identifying human emotions by integrating data from multiple sources, such as audio, video, and text. This approach leverages the complementary strengths of each modality to en…
View article: AVaTER: A Multimodal Approach of Recognizing Emotion using Cross-modal Attention Technique
AVaTER: A Multimodal Approach of Recognizing Emotion using Cross-modal Attention Technique Open
Multimodal emotion classification (MEC) involves analyzing and identifying human emotions by integrating data from multiple sources, such as audio, video, and text. This approach leverages the complementary strengths of each modality to en…
View article: A Novel Visuo-Tactile Object Recognition Pipeline using Transformers with Feature Level Fusion
A Novel Visuo-Tactile Object Recognition Pipeline using Transformers with Feature Level Fusion Open
The task of visuo-tactile object recognition is key in enabling robots to interact with humans and their environment in an efficient and effective manner. The differing statistical properties of visual images and tactile time-series data m…
View article: AraCovTexFinder: Leveraging the transformer-based language model for Arabic COVID-19 text identification
AraCovTexFinder: Leveraging the transformer-based language model for Arabic COVID-19 text identification Open
In light of the pandemic, the identification and processing of COVID-19-related text have emerged as critical research areas within the field of Natural Language Processing (NLP). With a growing reliance on online portals and social media …
View article: Fast and Accurate Tactile Object Recognition Using a Random Convolutional Kernel Transform
Fast and Accurate Tactile Object Recognition Using a Random Convolutional Kernel Transform Open
The task of tactile object recognition is an ever-evolving research area comprising of the gathering and processing of features related to the physical interaction between a robotic system and an object or material. For a robotic system to…
View article: CovTiNet: Covid text identification network using attention-based positional embedding feature fusion
CovTiNet: Covid text identification network using attention-based positional embedding feature fusion Open
Covid text identification (CTI) is a crucial research concern in natural language processing (NLP). Social and electronic media are simultaneously adding a large volume of Covid-affiliated text on the World Wide Web due to the effortless a…
View article: A modular fuzzy expert system for chemotherapy drug dose scheduling
A modular fuzzy expert system for chemotherapy drug dose scheduling Open
This study presents a modular Fuzzy Expert System (FES) for chemotherapy drug dose scheduling. The computational model considers the patient’s Body Surface Area (BSA) and experts’ opinions to calculate chemo doses following the clinical pr…
View article: TEmoX: Classification of Textual Emotion Using Ensemble of Transformers
TEmoX: Classification of Textual Emotion Using Ensemble of Transformers Open
Textual emotion classification (TxtEC) refers to the classification of emotion expressed by individuals in textual form. The widespread use of the Internet and numerous Web 2.0 applications has emerged in an expeditious growth of textual i…
View article: A CNN-Based Strategy to Classify MRI-Based Brain Tumors Using Deep Convolutional Network
A CNN-Based Strategy to Classify MRI-Based Brain Tumors Using Deep Convolutional Network Open
Brain tumor is a severe health condition that kills many lives every year, and several of those casualties are from rural areas. However, the technology to diagnose brain tumors at an early stage is not as efficient as expected. Therefore,…
View article: Device-friendly Guava fruit and leaf disease detection using deep learning
Device-friendly Guava fruit and leaf disease detection using deep learning Open
This work presents a deep learning-based plant disease diagnostic system using images of fruits and leaves. Five state-of-the-art convolutional neural networks (CNN) have been employed for implementing the system. Hitherto model accuracy h…
View article: Autism Detection from 2D Transformed EEG Signal using Convolutional Neural Network
Autism Detection from 2D Transformed EEG Signal using Convolutional Neural Network Open
Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder relating to speech complications, nonverbal and social communication, and repetitive behaviors. There is no remedy for ASD but early diagnosis, mediation, and supportive care …
View article: Handwritten numeral recognition through superimposition onto printed form
Handwritten numeral recognition through superimposition onto printed form Open
Handwriting is, eventually, a variation of the printed forms where the characters are little larger, smaller, angled and deformed than the printed forms. The small changes in handwriting define the parameters of the character to be recogni…
View article: Identification of Multilingual Offense and Troll from Social Media Memes Using Weighted Ensemble of Multimodal Features
Identification of Multilingual Offense and Troll from Social Media Memes Using Weighted Ensemble of Multimodal Features Open
In recent years, memes have become a common medium of promulgating offensive views by the content polluters in social media. Due to their multimodal nature, memes can easily evade the content regulators’ eyes. The proliferation of these un…
View article: Concurrent Skill Composition Using Ensemble of Primitive Skills
Concurrent Skill Composition Using Ensemble of Primitive Skills Open
One of the key characteristics of an open-ended cumulative learning agent is that it should use the knowledge gained from prior learning to solve future tasks. That characteristic is especially essential in robotics, as learning every perc…
View article: LSTM Network Classification of Dexterous Individual Finger Movements
LSTM Network Classification of Dexterous Individual Finger Movements Open
Electrical activity is generated in the forearm muscles during muscular contractions that control dexterous movements of a human finger and thumb. Using this electrical activity as an input to train a neural network for the purposes of cla…
View article: Bangla↔English Machine Translation Using Attention-based Multi-Headed Transformer Model
Bangla↔English Machine Translation Using Attention-based Multi-Headed Transformer Model Open
Machine Translation (MT) refers to translate texts or documents from the source language into the target language without human intervention. Any MT model is language-dependent and its development requires grammar, phrase rules, vocabulary…