Dr. Laia Subirats is an Associate Professor at Open University of Catalonia. Dr. Laia’s interests focus on artificial intelligence applied to neurological disabilities. Her research aims to establish a diagnosis of the quality of life and also perform social network analysis. Her interests also include artificial intelligence applications of citizen science, where she contributed to neurological diseases and seawater quality. Finally, she has also applied artificial intelligence to the world of education, focusing on the impact that COVID-19 has had on higher education, intelligent tutors, and multimodal streaming data analysis. Overall, she has published more than 30 articles in journals and conferences such as Engineering Applications of Artificial Intelligence, PLoS ONE, International Journal of Neural Systems, NPJ Digital Medicine, Journal of Biomedical Informatics, ACM Web Science Conference, IEEE Frontiers in Education Conference and IEEE Symposium on Computer-Based Medical Systems.

• 1 PSO Tuned Reactive Power Compensation in Unbalanced Grid Network Using Double Boostmodified Dual Controller.- 2 AI-Powered Question Generation and Evaluation Framework for Enhanced Educational Assessments.- 3 Architectural Insights: Discover ChatGPT's conversational power based on the GPT Transformer Framework.- 4 Optimization Methods in Deep Learning: A Comparative Evaluation.- 5 On Fair Domination in Hypergraphs.- 6 Khasi Dialect Identification Using Spectrogram and Vision Transformers.- 7 Performance Analysis of Modified Vision Transformer on Khasi Dialects.- 8 Enhancing Fiat-shamir with automorphism: A polynomial commitment scheme.- 9 Adversarial Attention Mechanisms with Convolutional and LSTM Networks for Unsupervised Video Summarization.- 10 Robust Classification of Human written vs LLM Generated Essay using Adversarial Training.- 11 Evaluating Smoothing Methods for Eigenvalue-Weighted Word Similarity.- 12 Analysing the Influence of Generative AI on B2B Marketing and Business Development.- 13 Development of an AI based Framework for Reverse Supply Chain of Pharmaceutical Products.- 14 Classification of online pharmacy consumers into high/low satisfaction using discriminant analysis.- 15 Comparative study of performance parameter of Phase-Locked Loops in CNTFET and CMOS technologies at deep sub-micron level.- 16 Collision-Free Object Handling Using Dex-Net and Rapidly Exploring Random Trees for Advanced Robotics Path Optimization.- 17 A Comprehensive Machine Learning Framework for Gestational Diabetes Prediction and Risk Analysis utilizing Explainable AI.- 18 A Comprehensive Review of Methods and Approaches for Clickbait Detection.- 19 A Comparative Study of Machine Learning Algorithms for the Prediction of the Proneness to Substance Abuse of Individuals.- 20 Space News Aggregator.- 21 Optimizing Binary Sentiment Analysis for Imbalanced Data: Synergizing Resampling Techniques, Model Tuning, and Explainable AI.- 22 Boosting-based Prediction and Auto-Optimization Models for Irrigation Scheduling, Soil Deficiency Analysis.- 23 Machine Learning in Mental Health: Advances in Depression Detection.- 24 A survey on sleep disorder and advanced methods for disorder detection.- 25 Development of Cascaded PI controller for Precise Speed Control of Electric Vehicle.- 26 Annual Precipitation Prediction Modelling using ML Classifiers: A Brief Study on West Bengal.- 27 Ethical Approach towards Singularity by Reducing Biases in the Field of Hiring Employees.- 28 Intelligent Pedestrian Assistant with Obstacle Detection.- 29 Missing Word Prediction using Stochastic Steady State and Bi-graph Transitions.- 30 Efficient mining of Association Rules using Apache Spark.- 31 Enhanced Credit Card Fraud Detection with Hyperparameter-Optimized XGBoost Utilizing Custom Loss Function.- 32 Alignment of Blended Learning Adaptation with Learners Requirement.- 33 A Hybrid Lightweight AI approach for Tamil English Code – Mixed Toxic and Abusive Comment Classification.- 34 Advanced Fake News Detection: A Benchmark Study Using Machine Learning, Deep learning and Ensemble Methods.- 35 On Graphs with k-regular Open Packing Set.- 36 Design and Implementation of Vision Based Guidance System for Arc Welding Robot.- 37 An Intelligent Crop Recommendation System for Informed Decision Making in Smart Agriculture Ecosystem.- 38 A Comparative Analysis of Deep Leaning Models to Enhance Question Answering in Depression Management.- 39 Intelligent Audit Log Query Chatbot for Database Forensics Using Large Language Model (LLM).- 40 Lung Disease Severity Assessment: A Data-Driven approach to Performance Evaluation of an Optimized Random Forest Regressor and Other Regression Models.- 41 Thau’s Observer for Coulomb Friction Dominated DC Velocity Servomechanism.- 42 Enhancing COVID-19 Literature Retrieval: A Compar-ative Evaluation of Full Text, Vector, and Hybrid Search Methodologies with Reranking for Domain-Specific Question Answering Systems.- 43 ZNN-based Fixed-Time Projective Sliding-Mode Control for Morphing Aircraft under Actuator Faults.

Dr. Laia Subirats is an Associate Professor at Open University of Catalonia. Dr. Laia’s interests focus on artificial intelligence applied to neurological disabilities. Her research aims to establish a diagnosis of the quality of life and also perform social network analysis. Her interests also include artificial intelligence applications of citizen science, where she contributed to neurological diseases and seawater quality. Finally, she has also applied artificial intelligence to the world of education, focusing on the impact that COVID-19 has had on higher education, intelligent tutors, and multimodal streaming data analysis. Overall, she has published more than 30 articles in journals and conferences such as Engineering Applications of Artificial Intelligence, PLoS ONE, International Journal of Neural Systems, NPJ Digital Medicine, Journal of Biomedical Informatics, ACM Web Science Conference, IEEE Frontiers in Education Conference and IEEE Symposium on Computer-Based Medical Systems.

• 1 PSO Tuned Reactive Power Compensation in Unbalanced Grid Network Using Double Boostmodified Dual Controller.- 2 AI-Powered Question Generation and Evaluation Framework for Enhanced Educational Assessments.- 3 Architectural Insights: Discover ChatGPT's conversational power based on the GPT Transformer Framework.- 4 Optimization Methods in Deep Learning: A Comparative Evaluation.- 5 On Fair Domination in Hypergraphs.- 6 Khasi Dialect Identification Using Spectrogram and Vision Transformers.- 7 Performance Analysis of Modified Vision Transformer on Khasi Dialects.- 8 Enhancing Fiat-shamir with automorphism: A polynomial commitment scheme.- 9 Adversarial Attention Mechanisms with Convolutional and LSTM Networks for Unsupervised Video Summarization.- 10 Robust Classification of Human written vs LLM Generated Essay using Adversarial Training.- 11 Evaluating Smoothing Methods for Eigenvalue-Weighted Word Similarity.- 12 Analysing the Influence of Generative AI on B2B Marketing and Business Development.- 13 Development of an AI based Framework for Reverse Supply Chain of Pharmaceutical Products.- 14 Classification of online pharmacy consumers into high/low satisfaction using discriminant analysis.- 15 Comparative study of performance parameter of Phase-Locked Loops in CNTFET and CMOS technologies at deep sub-micron level.- 16 Collision-Free Object Handling Using Dex-Net and Rapidly Exploring Random Trees for Advanced Robotics Path Optimization.- 17 A Comprehensive Machine Learning Framework for Gestational Diabetes Prediction and Risk Analysis utilizing Explainable AI.- 18 A Comprehensive Review of Methods and Approaches for Clickbait Detection.- 19 A Comparative Study of Machine Learning Algorithms for the Prediction of the Proneness to Substance Abuse of Individuals.- 20 Space News Aggregator.- 21 Optimizing Binary Sentiment Analysis for Imbalanced Data: Synergizing Resampling Techniques, Model Tuning, and Explainable AI.- 22 Boosting-based Prediction and Auto-Optimization Models for Irrigation Scheduling, Soil Deficiency Analysis.- 23 Machine Learning in Mental Health: Advances in Depression Detection.- 24 A survey on sleep disorder and advanced methods for disorder detection.- 25 Development of Cascaded PI controller for Precise Speed Control of Electric Vehicle.- 26 Annual Precipitation Prediction Modelling using ML Classifiers: A Brief Study on West Bengal.- 27 Ethical Approach towards Singularity by Reducing Biases in the Field of Hiring Employees.- 28 Intelligent Pedestrian Assistant with Obstacle Detection.- 29 Missing Word Prediction using Stochastic Steady State and Bi-graph Transitions.- 30 Efficient mining of Association Rules using Apache Spark.- 31 Enhanced Credit Card Fraud Detection with Hyperparameter-Optimized XGBoost Utilizing Custom Loss Function.- 32 Alignment of Blended Learning Adaptation with Learners Requirement.- 33 A Hybrid Lightweight AI approach for Tamil English Code – Mixed Toxic and Abusive Comment Classification.- 34 Advanced Fake News Detection: A Benchmark Study Using Machine Learning, Deep learning and Ensemble Methods.- 35 On Graphs with k-regular Open Packing Set.- 36 Design and Implementation of Vision Based Guidance System for Arc Welding Robot.- 37 An Intelligent Crop Recommendation System for Informed Decision Making in Smart Agriculture Ecosystem.- 38 A Comparative Analysis of Deep Leaning Models to Enhance Question Answering in Depression Management.- 39 Intelligent Audit Log Query Chatbot for Database Forensics Using Large Language Model (LLM).- 40 Lung Disease Severity Assessment: A Data-Driven approach to Performance Evaluation of an Optimized Random Forest Regressor and Other Regression Models.- 41 Thau’s Observer for Coulomb Friction Dominated DC Velocity Servomechanism.- 42 Enhancing COVID-19 Literature Retrieval: A Compar-ative Evaluation of Full Text, Vector, and Hybrid Search Methodologies with Reranking for Domain-Specific Question Answering Systems.- 43 ZNN-based Fixed-Time Projective Sliding-Mode Control for Morphing Aircraft under Actuator Faults.

Dr. Laia Subirats is an Associate Professor at Open University of Catalonia. Dr. Laia’s interests focus on artificial intelligence applied to neurological disabilities. Her research aims to establish a diagnosis of the quality of life and also perform social network analysis. Her interests also include artificial intelligence applications of citizen science, where she contributed to neurological diseases and seawater quality. Finally, she has also applied artificial intelligence to the world of education, focusing on the impact that COVID-19 has had on higher education, intelligent tutors, and multimodal streaming data analysis. Overall, she has published more than 30 articles in journals and conferences such as Engineering Applications of Artificial Intelligence, PLoS ONE, International Journal of Neural Systems, NPJ Digital Medicine, Journal of Biomedical Informatics, ACM Web Science Conference, IEEE Frontiers in Education Conference and IEEE Symposium on Computer-Based Medical Systems.

• 1 PSO Tuned Reactive Power Compensation in Unbalanced Grid Network Using Double Boostmodified Dual Controller.- 2 AI-Powered Question Generation and Evaluation Framework for Enhanced Educational Assessments.- 3 Architectural Insights: Discover ChatGPT's conversational power based on the GPT Transformer Framework.- 4 Optimization Methods in Deep Learning: A Comparative Evaluation.- 5 On Fair Domination in Hypergraphs.- 6 Khasi Dialect Identification Using Spectrogram and Vision Transformers.- 7 Performance Analysis of Modified Vision Transformer on Khasi Dialects.- 8 Enhancing Fiat-shamir with automorphism: A polynomial commitment scheme.- 9 Adversarial Attention Mechanisms with Convolutional and LSTM Networks for Unsupervised Video Summarization.- 10 Robust Classification of Human written vs LLM Generated Essay using Adversarial Training.- 11 Evaluating Smoothing Methods for Eigenvalue-Weighted Word Similarity.- 12 Analysing the Influence of Generative AI on B2B Marketing and Business Development.- 13 Development of an AI based Framework for Reverse Supply Chain of Pharmaceutical Products.- 14 Classification of online pharmacy consumers into high/low satisfaction using discriminant analysis.- 15 Comparative study of performance parameter of Phase-Locked Loops in CNTFET and CMOS technologies at deep sub-micron level.- 16 Collision-Free Object Handling Using Dex-Net and Rapidly Exploring Random Trees for Advanced Robotics Path Optimization.- 17 A Comprehensive Machine Learning Framework for Gestational Diabetes Prediction and Risk Analysis utilizing Explainable AI.- 18 A Comprehensive Review of Methods and Approaches for Clickbait Detection.- 19 A Comparative Study of Machine Learning Algorithms for the Prediction of the Proneness to Substance Abuse of Individuals.- 20 Space News Aggregator.- 21 Optimizing Binary Sentiment Analysis for Imbalanced Data: Synergizing Resampling Techniques, Model Tuning, and Explainable AI.- 22 Boosting-based Prediction and Auto-Optimization Models for Irrigation Scheduling, Soil Deficiency Analysis.- 23 Machine Learning in Mental Health: Advances in Depression Detection.- 24 A survey on sleep disorder and advanced methods for disorder detection.- 25 Development of Cascaded PI controller for Precise Speed Control of Electric Vehicle.- 26 Annual Precipitation Prediction Modelling using ML Classifiers: A Brief Study on West Bengal.- 27 Ethical Approach towards Singularity by Reducing Biases in the Field of Hiring Employees.- 28 Intelligent Pedestrian Assistant with Obstacle Detection.- 29 Missing Word Prediction using Stochastic Steady State and Bi-graph Transitions.- 30 Efficient mining of Association Rules using Apache Spark.- 31 Enhanced Credit Card Fraud Detection with Hyperparameter-Optimized XGBoost Utilizing Custom Loss Function.- 32 Alignment of Blended Learning Adaptation with Learners Requirement.- 33 A Hybrid Lightweight AI approach for Tamil English Code – Mixed Toxic and Abusive Comment Classification.- 34 Advanced Fake News Detection: A Benchmark Study Using Machine Learning, Deep learning and Ensemble Methods.- 35 On Graphs with k-regular Open Packing Set.- 36 Design and Implementation of Vision Based Guidance System for Arc Welding Robot.- 37 An Intelligent Crop Recommendation System for Informed Decision Making in Smart Agriculture Ecosystem.- 38 A Comparative Analysis of Deep Leaning Models to Enhance Question Answering in Depression Management.- 39 Intelligent Audit Log Query Chatbot for Database Forensics Using Large Language Model (LLM).- 40 Lung Disease Severity Assessment: A Data-Driven approach to Performance Evaluation of an Optimized Random Forest Regressor and Other Regression Models.- 41 Thau’s Observer for Coulomb Friction Dominated DC Velocity Servomechanism.- 42 Enhancing COVID-19 Literature Retrieval: A Compar-ative Evaluation of Full Text, Vector, and Hybrid Search Methodologies with Reranking for Domain-Specific Question Answering Systems.- 43 ZNN-based Fixed-Time Projective Sliding-Mode Control for Morphing Aircraft under Actuator Faults.