Deepali Vora
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View article: Context-Aware Deep Learning based Indian Footpath Damage Segmentation Dataset for Risk Assessment
Context-Aware Deep Learning based Indian Footpath Damage Segmentation Dataset for Risk Assessment Open
Damaged footpaths, including cracks and surface irregularities, pose significant risks to pedestrians in urban environments. To facilitate research in automated infrastructure monitoring and pedestrian fall-risk mitigation, we introduce th…
View article: Multi-stage classification of abnormal traffic events using a multi-head + LSTM
Multi-stage classification of abnormal traffic events using a multi-head + LSTM Open
Traffic congestion, anomalies and incident significantly impact urban transportation efficiency and road safety. Accurate detection and classification of such events are crucial for effective traffic managements, emergency response and inf…
View article: EVMCSDLT: Electric vehicle mobile charging system using distributed ledger technology
EVMCSDLT: Electric vehicle mobile charging system using distributed ledger technology Open
The accelerating adoption of electric vehicles (EVs) has revealed a significant challenge: ensuring accessible, secure charging infrastructure in areas with limited internet connectivity. This study introduces EVMCSDLT, a novel payment fra…
View article: Towards efficient knowledge extraction: Natural language processing-based summarization of research paper introductions
Towards efficient knowledge extraction: Natural language processing-based summarization of research paper introductions Open
Academic and research papers serve as valuable platforms for disseminating expertise and discoveries to diverse audiences. The growing volume of academic papers, with nearly 7 million new publications annually, presents a formidable challe…
View article: Detecting health misinformation: A comparative analysis of machine learning and graph convolutional networks in classification tasks
Detecting health misinformation: A comparative analysis of machine learning and graph convolutional networks in classification tasks Open
In the digital age, the proliferation of health-related information online has heightened the risk of misinformation, posing substantial threats to public well-being. This research conducts a meticulous comparative analysis of classificati…
View article: Multimodal Abstractive Summarization using bidirectional encoder representations from transformers with attention mechanism
Multimodal Abstractive Summarization using bidirectional encoder representations from transformers with attention mechanism Open
In recent decades, abstractive text summarization using multimodal input has attracted many researchers due to the capability of gathering information from various sources to create a concise summary. However, the existing methodologies ba…
View article: Intelligent Transportation System With 5G Vehicle-to-Everything (V2X): Architectures, Vehicular Use Cases, Emergency Vehicles, Current Challenges, and Future Directions
Intelligent Transportation System With 5G Vehicle-to-Everything (V2X): Architectures, Vehicular Use Cases, Emergency Vehicles, Current Challenges, and Future Directions Open
In recent years, connected vehicle technologies emerged to provide a safer and more connected environment for transportation systems, which has further evolved into cellular vehicle-to-everything (C-V2X) technology. The current study contr…
View article: Data-driven approach for AI-based crack detection: techniques, challenges, and future scope
Data-driven approach for AI-based crack detection: techniques, challenges, and future scope Open
This article provides a systematic literature review on the application of artificial intelligence (AI) technology for detecting cracks in civil infrastructure, which is a critical issue affecting the performance and longevity of these str…
View article: Improving the Performance of Autonomous Driving through Deep Reinforcement Learning
Improving the Performance of Autonomous Driving through Deep Reinforcement Learning Open
Reinforcement learning (RL) is revolutionizing the artificial intelligence (AI) domain and significantly aiding in building autonomous systems with a higher level comprehension of the world as we observe it. Deep learning (DL) facilitates …
View article: Detection of Pulmonary Embolism: Workflow Architecture and Comparative Analysis of the CNN Models
Detection of Pulmonary Embolism: Workflow Architecture and Comparative Analysis of the CNN Models Open
Machine learning has proven to be a practical medical image processing technique for pattern discovery in low-quality labelled and unlabeled datasets. Deep vein thrombosis and pulmonary embolism are both examples of venous thromboembolism,…
View article: Question Answer System: A State-of-Art Representation of Quantitative and Qualitative Analysis
Question Answer System: A State-of-Art Representation of Quantitative and Qualitative Analysis Open
Question Answer System (QAS) automatically answers the question asked in natural language. Due to the varying dimensions and approaches that are available, QAS has a very diverse solution space, and a proper bibliometric study is required …
View article: A Review on Text-Based Emotion Detection -- Techniques, Applications, Datasets, and Future Directions
A Review on Text-Based Emotion Detection -- Techniques, Applications, Datasets, and Future Directions Open
Artificial Intelligence (AI) has been used for processing data to make decisions, interact with humans, and understand their feelings and emotions. With the advent of the internet, people share and express their thoughts on day-to-day acti…
View article: Deep Learning Approaches for Video Compression: A Bibliometric Analysis
Deep Learning Approaches for Video Compression: A Bibliometric Analysis Open
Every data and kind of data need a physical drive to store it. There has been an explosion in the volume of images, video, and other similar data types circulated over the internet. Users using the internet expect intelligible data, even u…
View article: State-of-the-Art Approach to e-Learning with Cutting Edge NLP Transformers: Implementing Text Summarization, Question and Distractor Generation, Question Answering
State-of-the-Art Approach to e-Learning with Cutting Edge NLP Transformers: Implementing Text Summarization, Question and Distractor Generation, Question Answering Open
Amid the worldwide wave of pandemic lockdowns, there has been a remarkable growth in E-learning. Online learning has become a challenge for students. It has become difficult for students to find the content they need. The mounting accessib…
View article: Recent Challenges and Opportunities in Video Summarization With Machine Learning Algorithms
Recent Challenges and Opportunities in Video Summarization With Machine Learning Algorithms Open
The fast progress in digital technology has sparked the generation of the amount of voluminous data from different social media platforms like Instagram, Facebook, YouTube, etc. There are other platforms, as well which generate large data …
View article: A Review on Machine Learning Styles in Computer Vision—Techniques and Future Directions
A Review on Machine Learning Styles in Computer Vision—Techniques and Future Directions Open
Computer applications have considerably shifted from single data processing to machine learning in recent years due to the accessibility and availability of massive volumes of data obtained through the internet and various sources. Machine…
View article: NLI-GSC: A Natural Language Interface for Generating SourceCode
NLI-GSC: A Natural Language Interface for Generating SourceCode Open
There are many different programming languages and each programming language has its own structure or way of writing the code, it becomes difficult to learn and frequently switch between different programming languages. Due to this reason,…
View article: Fake News Detector: FND
Fake News Detector: FND Open
The idea focuses on providing the information on whether the news is real or fake and with distinguished information about the content or news headline provided by the user into the developed system.The user is a client or a customer, gets…
View article: Product Recommendation System based on User Trustworthiness & Sentiment Analysis
Product Recommendation System based on User Trustworthiness & Sentiment Analysis Open
The current online product recommendation system based on reviews has many limitations due to randomness in the review patterns. The data which is used are the reviews and ratings from the e-commerce websites. This data might contain fake …
View article: Free Code Sharing Web Platform with Intelligent Developer Suggestion Tool
Free Code Sharing Web Platform with Intelligent Developer Suggestion Tool Open
Due to increase in demands for websites, faster deployment requirements and complex functionality requirements, developers face the need for a centralized code repository system to store repetitive codes and a suggestion tool to help them …
View article: Personalized Course Recommendation System using Deep Learning
Personalized Course Recommendation System using Deep Learning Open
Recommender Frameworks are a regular examinations this is applied in stand-out areas. course concept is taken into consideration as a tried location that has not been tested absolutely. It blessings college understudies who want thought an…
View article: Psychoanalysis using Software Simulation
Psychoanalysis using Software Simulation Open
Psychoanalysis is a concept related to the study of the unconscious mind, which is used by various companies during the process of hiring candidates.[1]The current system for recruitment procedure does not take into consideration all the a…
View article: Evaluating the Effectiveness of Machine Learning Algorithms in Predictive Modelling
Evaluating the Effectiveness of Machine Learning Algorithms in Predictive Modelling Open
Predictive modelling is a statistical technique to predict future behaviour. Machine learning is one of the most popular methods for predicting the future behaviour. From the plethora of algorithms available it is always interesting to fin…
View article: Sentiment Analysis for Product Recommendation Using Random Forest
Sentiment Analysis for Product Recommendation Using Random Forest Open
Analysis of sentiments is to analyze the natural language and to find the emotions, express by the human beings. The idea behind sentiment analysis is to determine polarity of textual opinion given by person. Sentiment Analysis is useful i…
View article: EDM – survey of performance factors and algorithms applied
EDM – survey of performance factors and algorithms applied Open
Educational Data Mining (EDM) is a new field of research in the data mining and Knowledge Discovery in Databases (KDD) field. It mainly focuses in mining useful patterns and discovering useful knowledge from the educational information sys…