Dinesh Kumar Vishwakarma
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View article: Green synthesis, characterization and α glucosidase/α-amylase - inhibitory potential of silver nanoparticles using costus igneus leaf extract
Green synthesis, characterization and α glucosidase/α-amylase - inhibitory potential of silver nanoparticles using costus igneus leaf extract Open
View article: Nrf2/keap1 pathway activation as a mechanism underlying the Renoprotective effects of Syzygium cumini in gentamicin-treated wistar rats
Nrf2/keap1 pathway activation as a mechanism underlying the Renoprotective effects of Syzygium cumini in gentamicin-treated wistar rats Open
View article: Modern strategies for pharmaceutical water quality management: Types, standards, and validation protocols
Modern strategies for pharmaceutical water quality management: Types, standards, and validation protocols Open
View article: A review on: Effect of bio-medical waste on neonatal health
A review on: Effect of bio-medical waste on neonatal health Open
View article: A Comprehensive Study of Federated Learning Tools and Frameworks for Data-Sensitive Applications
A Comprehensive Study of Federated Learning Tools and Frameworks for Data-Sensitive Applications Open
Artificial intelligence depends upon various learning techniques to analyze and process data. Most of these techniques store data centrally or clone it to all training devices. While it presents no issue in standard applications, it quickl…
View article: Temporal variability of precipitation and humidity in Mandi, Himachal Pradesh, India using GIS modelling: a multi decadal study
Temporal variability of precipitation and humidity in Mandi, Himachal Pradesh, India using GIS modelling: a multi decadal study Open
This study investigates precipitation and specific humidity trends from 1981 to 2023, uncovering significant fluctuations across the Mandi region. Analysis of the data shows a broad range in mean annual rainfall, from 631.26 to 1,174.16 mm…
View article: MHS-STMA: Multimodal Hate Speech Detection via Scalable Transformer-Based Multilevel Attention Framework
MHS-STMA: Multimodal Hate Speech Detection via Scalable Transformer-Based Multilevel Attention Framework Open
Social media has a significant impact on people's lives. Hate speech on social media has emerged as one of society's most serious issues in recent years. Text and pictures are two forms of multimodal data that are distributed within articl…
View article: Hate Content Detection via Novel Pre-Processing Sequencing and Ensemble Methods
Hate Content Detection via Novel Pre-Processing Sequencing and Ensemble Methods Open
Social media, particularly Twitter, has seen a significant increase in incidents like trolling and hate speech. Thus, identifying hate speech is the need of the hour. This paper introduces a computational framework to curb the hate content…
View article: A Noise and Edge extraction-based dual-branch method for Shallowfake and Deepfake Localization
A Noise and Edge extraction-based dual-branch method for Shallowfake and Deepfake Localization Open
The trustworthiness of multimedia is being increasingly evaluated by advanced Image Manipulation Localization (IML) techniques, resulting in the emergence of the IML field. An effective manipulation model necessitates the extraction of non…
View article: VyAnG-Net: A Novel Multi-Modal Sarcasm Recognition Model by Uncovering Visual, Acoustic and Glossary Features
VyAnG-Net: A Novel Multi-Modal Sarcasm Recognition Model by Uncovering Visual, Acoustic and Glossary Features Open
Various linguistic and non-linguistic clues, such as excessive emphasis on a word, a shift in the tone of voice, or an awkward expression, frequently convey sarcasm. The computer vision problem of sarcasm recognition in conversation aims t…
View article: Modelling Visual Semantics via Image Captioning to extract Enhanced Multi-Level Cross-Modal Semantic Incongruity Representation with Attention for Multimodal Sarcasm Detection
Modelling Visual Semantics via Image Captioning to extract Enhanced Multi-Level Cross-Modal Semantic Incongruity Representation with Attention for Multimodal Sarcasm Detection Open
Sarcasm is a type of irony, characterized by an inherent mismatch between the literal interpretation and the intended connotation. Though sarcasm detection in text has been extensively studied, there are situations in which textual input a…
View article: Target-Dependent Multimodal Sentiment Analysis Via Employing Visual-to Emotional-Caption Translation Network using Visual-Caption Pairs
Target-Dependent Multimodal Sentiment Analysis Via Employing Visual-to Emotional-Caption Translation Network using Visual-Caption Pairs Open
The natural language processing and multimedia field has seen a notable surge in interest in multimodal sentiment recognition. Hence, this study aims to employ Target-Dependent Multimodal Sentiment Analysis (TDMSA) to identify the level of…
View article: Contrastive Learning-based Multi Modal Architecture for Emoticon Prediction by Employing Image-Text Pairs
Contrastive Learning-based Multi Modal Architecture for Emoticon Prediction by Employing Image-Text Pairs Open
The emoticons are symbolic representations that generally accompany the textual content to visually enhance or summarize the true intention of a written message. Although widely utilized in the realm of social media, the core semantics of …
View article: Stacked hybridization to enhance the performance of artificial neural networks (ANN) for prediction of water quality index in the Bagh river basin, India
Stacked hybridization to enhance the performance of artificial neural networks (ANN) for prediction of water quality index in the Bagh river basin, India Open
View article: Towards Effective Image Forensics via A Novel Computationally Efficient Framework and A New Image Splice Dataset
Towards Effective Image Forensics via A Novel Computationally Efficient Framework and A New Image Splice Dataset Open
Splice detection models are the need of the hour since splice manipulations can be used to mislead, spread rumors and create disharmony in society. However, there is a severe lack of image splicing datasets, which restricts the capabilitie…
View article: A Visually Attentive Splice Localization Network with Multi-Domain Feature Extractor and Multi-Receptive Field Upsampler
A Visually Attentive Splice Localization Network with Multi-Domain Feature Extractor and Multi-Receptive Field Upsampler Open
Image splice manipulation presents a severe challenge in today's society. With easy access to image manipulation tools, it is easier than ever to modify images that can mislead individuals, organizations or society. In this work, a novel, …
View article: Datasets, Clues and State-of-the-Arts for Multimedia Forensics: An Extensive Review
Datasets, Clues and State-of-the-Arts for Multimedia Forensics: An Extensive Review Open
With the large chunks of social media data being created daily and the parallel rise of realistic multimedia tampering methods, detecting and localising tampering in images and videos has become essential. This survey focusses on approache…
View article: Shsp: A Scalable Framework for Healthcare System Using Polygon Blockchain
Shsp: A Scalable Framework for Healthcare System Using Polygon Blockchain Open
View article: Android based application for locating a missing person
Android based application for locating a missing person Open
Around the world, a sizable number of people including kids, teenagers, people with intellectual disabilities, elderly people with Alzheimer's disease, and others go missing every day. Unfortunately, these people are frequently never locat…
View article: An Emotion-Guided Approach to Domain Adaptive Fake News Detection Using Adversarial Learning (Student Abstract)
An Emotion-Guided Approach to Domain Adaptive Fake News Detection Using Adversarial Learning (Student Abstract) Open
Recent works on fake news detection have shown the efficacy of using emotions as a feature for improved performance. However, the cross-domain impact of emotion-guided features for fake news detection still remains an open problem. In this…
View article: Transformer-Based Named Entity Recognition for French Using Adversarial Adaptation to Similar Domain Corpora (Student Abstract)
Transformer-Based Named Entity Recognition for French Using Adversarial Adaptation to Similar Domain Corpora (Student Abstract) Open
Named Entity Recognition (NER) involves the identification and classification of named entities in unstructured text into predefined classes. NER in languages with limited resources, like French, is still an open problem due to the lack of…
View article: A review of vision-based indoor HAR: state-of-the-art, challenges, and future prospects
A review of vision-based indoor HAR: state-of-the-art, challenges, and future prospects Open
View article: Adversarial Adaptation for French Named Entity Recognition
Adversarial Adaptation for French Named Entity Recognition Open
Named Entity Recognition (NER) is the task of identifying and classifying named entities in large-scale texts into predefined classes. NER in French and other relatively limited-resource languages cannot always benefit from approaches prop…
View article: Transformer-Based Named Entity Recognition for French Using Adversarial Adaptation to Similar Domain Corpora
Transformer-Based Named Entity Recognition for French Using Adversarial Adaptation to Similar Domain Corpora Open
Named Entity Recognition (NER) involves the identification and classification of named entities in unstructured text into predefined classes. NER in languages with limited resources, like French, is still an open problem due to the lack of…
View article: An Emotion-guided Approach to Domain Adaptive Fake News Detection using Adversarial Learning
An Emotion-guided Approach to Domain Adaptive Fake News Detection using Adversarial Learning Open
Recent works on fake news detection have shown the efficacy of using emotions as a feature for improved performance. However, the cross-domain impact of emotion-guided features for fake news detection still remains an open problem. In this…
View article: Influence Maximization in Social Networks using Discretized Harris Hawks Optimization Algorithm and Neighbour Scout Strategy
Influence Maximization in Social Networks using Discretized Harris Hawks Optimization Algorithm and Neighbour Scout Strategy Open
Influence Maximization (IM) is the task of determining k optimal influential nodes in a social network to maximize the influence spread using a propagation model. IM is a prominent problem for viral marketing, and helps significantly in so…
View article: Framework for detection of probable clues to predict misleading information proliferated during COVID-19 outbreak
Framework for detection of probable clues to predict misleading information proliferated during COVID-19 outbreak Open
View article: An automated multi-web platform voting framework to predict misleading information proliferated during COVID-19 outbreak using ensemble method
An automated multi-web platform voting framework to predict misleading information proliferated during COVID-19 outbreak using ensemble method Open
View article: A Review on Formulation Development and Evaluation of Novel Topical Emulgel (An Overview)
A Review on Formulation Development and Evaluation of Novel Topical Emulgel (An Overview) Open
Over the last decade the treatment of illness has been accomplished by administering drug to human body via various routes namely oral, sublingual, rectal, parental etc. Many advantages of gels a major limitation is in the delivery of hydr…