Arif Ahmed Sekh
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View article: Graph-based hostile content detection in Hindi language
Graph-based hostile content detection in Hindi language Open
Organizations and governments are struggling to handle the hostile content on social media sites ( $$Facebook^{TM}$$ , $$Twitter^{TM}$$ , etc.). While extensive research exists for English-language content, regional languages like Hindi la…
View article: Multilingual visual question answering for visually impaired people
Multilingual visual question answering for visually impaired people Open
Visual question answering (VQA) aims to answer questions for a given image. The applications of VQA systems are well explored in education, e-commerce, and interactive exhibits. It also enhances accessibility for the visually impaired (VI)…
View article: Towards AI-based Sustainable and XR-based human-centric manufacturing: Implementation of ISO 23247 for digital twins of production systems
Towards AI-based Sustainable and XR-based human-centric manufacturing: Implementation of ISO 23247 for digital twins of production systems Open
Since the introduction of Industry 4.0, digital twin technology has significantly evolved, laying the groundwork for a transition toward Industry 5.0 principles centered on human-centricity, sustainability, and resilience. Through digital …
View article: Learning to Predict Mobile Robot Stability in Off-Road Environments
Learning to Predict Mobile Robot Stability in Off-Road Environments Open
Navigating in off-road environments for wheeled mobile robots is challenging due to dynamic and rugged terrain. Traditional physics-based stability metrics, such as Static Stability Margin (SSM) or Zero Moment Point (ZMP) require knowledge…
View article: Haphazard Inputs as Images in Online Learning
Haphazard Inputs as Images in Online Learning Open
The field of varying feature space in online learning settings, also known as haphazard inputs, is very prominent nowadays due to its applicability in various fields. However, the current solutions to haphazard inputs are model-dependent a…
View article: Ensemble approach to rumor detection with BERT, GPT, and POS features
Ensemble approach to rumor detection with BERT, GPT, and POS features Open
As vast amounts of rumor content are transmitted on social media, it is very challenging to detect them. This study explores an ensemble approach to rumor detection in social media messages, leveraging the strengths of advanced natural lan…
View article: Rumor detection using dual embeddings and text-based graph convolutional network
Rumor detection using dual embeddings and text-based graph convolutional network Open
Social media platforms like Twitter and Facebook have gradually become vital for communication and information exchange. However, this often leads to the spread of unreliable or false information, such as harmful rumors. Currently, graph c…
View article: Zero-shot Video-based Visual Question Answering for Visually Impaired People
Zero-shot Video-based Visual Question Answering for Visually Impaired People Open
83% of the world's population owned a smartphone today. The use of smartphones as personal assistants is also emerging. This article proposes a new video dataset suitable for few-shot or zero-shot learning. The dataset contains handheld pr…
View article: High-throughput single-cell phenotypic profiling and backtracing exposes and predicts clinically relevant subpopulations in isogenic<i>Staphylococcus aureus</i>communities
High-throughput single-cell phenotypic profiling and backtracing exposes and predicts clinically relevant subpopulations in isogenic<i>Staphylococcus aureus</i>communities Open
Isogenic bacterial cell populations are phenotypically heterogenous and may include subpopulations of antibiotic tolerant or heteroresistant cells. The reversible nature of these phenotypes and lack of biomarkers to differentiate functiona…
View article: BMWP: The First Bengali Math Word Problems Dataset for Operation Prediction and Solving
BMWP: The First Bengali Math Word Problems Dataset for Operation Prediction and Solving Open
One of the most challenging and exciting research questions in the various branches of artificial intelligence (AI), such as natural language processing (NLP), machine learning (ML), etc., today is how to solve math word problems of varyin…
View article: Is Grad-CAM Explainable in Medical Images?
Is Grad-CAM Explainable in Medical Images? Open
Explainable Deep Learning has gained significant attention in the field of artificial intelligence (AI), particularly in domains such as medical imaging, where accurate and interpretable machine learning models are crucial for effective di…
View article: Ensemble Classifier for Hindi Hostile Content Detection
Ensemble Classifier for Hindi Hostile Content Detection Open
Detection of hostile content from social media posts (Facebook, Twitter, etc.) is a demanding task in the field of Natural Language Processing. The increase of hostile content in different electronic media has opened up new challenges in l…
View article: Virtual labeling of mitochondria in living cells using correlative imaging and physics-guided deep learning
Virtual labeling of mitochondria in living cells using correlative imaging and physics-guided deep learning Open
Mitochondria play a crucial role in cellular metabolism. This paper presents a novel method to visualize mitochondria in living cells without the use of fluorescent markers. We propose a physics-guided deep learning approach for obtaining …
View article: Biomedical term extraction using fuzzy association
Biomedical term extraction using fuzzy association Open
Automatic term extraction from a biomedical text is a well-known problem in the area of natural language processing. It is carried out by employing four kinds of measures: linguistic and rule-based, dictionary-based, statistical, and machi…
View article: Classification of Ayurveda constitution types: A Deep Learning Approach
Classification of Ayurveda constitution types: A Deep Learning Approach Open
In precision medicine, there has been a paradigm shift, from a population average based one-size-fits all, to an individualized approach. The aim is to tailor a medicine according to an individual’s genetic make-up and response to drug, di…
View article: Physics-based machine learning for subcellular segmentation in living cells
Physics-based machine learning for subcellular segmentation in living cells Open
Segmenting subcellular structures in living cells from fluorescence microscope images is a ground truth (GT)-deficient problem. The microscopes’ three-dimensional blurring function, finite optical resolution due to light diffraction, finit…
View article: Topic-based Video Analysis
Topic-based Video Analysis Open
Manual processing of a large volume of video data captured through closed-circuit television is challenging due to various reasons. First, manual analysis is highly time-consuming. Moreover, as surveillance videos are recorded in dynamic c…
View article: Replication Data for: Physics based machine learning for sub-cellular segmentation in living cells
Replication Data for: Physics based machine learning for sub-cellular segmentation in living cells Open
Segmenting sub-cellular structures in living cells from fluorescence microscopy images is a ground truth (GT) hard problem. The microscope’s 3-dimensional blurring function, finite optical resolution due to light diffraction, finite pixel …
View article: Automatic question generation and answer assessment: a survey
Automatic question generation and answer assessment: a survey Open
Learning through the internet becomes popular that facilitates learners to learn anything, anytime, anywhere from the web resources. Assessment is most important in any learning system. An assessment system can find the self-learning gaps …
View article: Author response for "Best fit membership function for designing fuzzy logic controller aided intelligent overcurrent fault protection scheme"
Author response for "Best fit membership function for designing fuzzy logic controller aided intelligent overcurrent fault protection scheme" Open
Get your research seenMake an impact with these nine promotional tools. SEO• Use relevant keywords to make your title and abstract clear and easy to search for.• Off-page SEO strategies, like link building, can help get your paper seen. Co…
View article: Fuzzy Based Algorithm for Stage-I of Cascaded Intelligent Relaying
Fuzzy Based Algorithm for Stage-I of Cascaded Intelligent Relaying Open
In the present scenario the protection system has become an important issue in the field of the power system. An Intelligent protection system has been introduced in many sectors like low voltage DC breakers, VCB, SF6 and so on. The said p…
View article: Neural Network Based Country Wise Risk Prediction of COVID-19
Neural Network Based Country Wise Risk Prediction of COVID-19 Open
The recent worldwide outbreak of the novel coronavirus (COVID-19) has opened up new challenges to the research community. Artificial intelligence (AI) driven methods can be useful to predict the parameters, risks, and effects of such an ep…