It's critical to think about early detection and prediction of software faults before delivering a product or throughout the software development process. Early detection or prediction of wrong (defective) modules or components in a software system enables for automated correction of those modules or components a...

A simple, precise, and accurate RP-HPLC method has been developed and validated for the simultaneous assay of Azelaic acid, Minoxidil and Tretinoin in topical gel. Isocratic RP-HPLC method was developed on BDS hypersil C18, (250mm×4.6mm internal diameter, 5µ particle size) using mobile phase as 0.05M Potassium Dihyd...

The present invention pertains to a process for synthesis 1,2,4-triazole derivatives with anticancer activity. Nineteen new 1,2,4-triazole derivatives were synthesized and are described. Using the MTT test, the cytotoxic properties of the synthesized compounds were assessed against the MCF-7, Hela, and A549 cell lin...

Large Scale Global Optimization is one of the most challenging problem in the domain of stocastic optimization. Due to high dimensionality in entire optimization process different type of problems may occur for finding the global optima eg. solution space increase exponentially, problem complexity increases, and can...

The present invention relates to a method, system, and computer program product for diagnosing mental health disorders using sentiment analysis. The method includes collecting online content related to an individual, applying sentiment analysis to the online content to extract sentiment information, identifying spec...

Sentiment analysis is an important tool for businesses and organizations looking to understand customer feedback and public opinion. However, traditional sentiment analysis models often struggle with complex texts and nuanced language. Sentiment analysis by attention feeder using multivariate functions is a newer ap...

Intermediate brain disease state prediction using machine learning is an emerging field of research that aims to develop accurate and reliable models to predict the progression of brain diseases such as Alzheimer's disease, Parkinson's disease, and multiple sclerosis. The ability to predict intermediate states of th...

Location-based analysis of healthcare facilities based on specific performance is a powerful tool that enables healthcare providers to identify gaps in the provision of healthcare services and allocate resources more effectively. By analyzing healthcare facility data and patient outcomes at a regional or local level...

“PHARMACEUTICAL FORMULATION OF FAMOTIDINE AND ITS USE” The invention relates to a pharmaceutical formulation containing famotidine or a famotidine-related compound, or a pharmacologically acceptable salt thereof, as active ingredient, in which the formulation exhibits a controlled in vitro release of the active ingr...

This innovation explores the potential of enhancing predictive analytics through the application of Quantum Machine Learning (QML) algorithms. As quantum computing evolves, it offers a paradigm shift in how complex data can be processed, promising exponential improvements over classical machine learning approaches. ...

The evolution of intelligent web services has been greatly propelled by the integration of machine learning, revolutionizing the landscape of user experiences on digital platforms. This paper explores the profound impact of machine learning algorithms in powering intelligent web services and their pivotal role in em...

Advancements in medical diagnostics are crucial for improving patient outcomes and the efficiency of healthcare systems. One promising innovation in this field is the utilization of Adversarial Generative Adversarial Networks (GANs) for enhanced imaging and precision medicine. This paper explores the potential of GA...

The integration of Machine Learning (ML) with Web Services in Precision Agriculture represents a significant advancement in agricultural technology, aimed at optimizing farming practices through data-driven decision-making. This paper explores the methodologies and benefits of combining ML algorithms with cloud-base...

This study presents the development of a web application leveraging machine learning (ML) techniques for the rapid and accurate detection of Autism Spectrum Disorder (ASD) in individuals across various age groups. The application integrates diverse data sources, including behavioral observations, medical records, an...

We are tackling a problem generally faced by a the new commers to any new place. Our main target audience are the students and the bachelors who lives in paying guest rooms , they generally face problems in accessing and managing essential daily services like laundry, grocery shopping, Mess Food services and maid se...

SolarNanoCoat, an innovative ultra-thin photovoltaic coating designed to enhance the efficiency of solar panels. In response to the limitations faced by traditional solar technologies, SolarNanoCoat employs advanced nanomaterials to optimize light absorption, minimize reflection losses, and improve overall energy co...

In the realm of education, the amalgamation of deep learning methodologies and pedagogical practices heralds a transformative era. This innovation endeavors to revolutionize educational paradigms by introducing a novel approach termed "Deep Learning Pedagogy." With India's diverse cultural fabric and a burgeoning de...

India, a country renowned for its cultural diversity and heritage, hosts numerous large-scale cultural events attracting vast crowds. Managing these gatherings efficiently poses substantial logistical and safety challenges. This innovation introduces a comprehensive event management system designed specifically to a...

The embodiment of the invention relates to a novel Emotion-Based Music Player system and method that leverages facial emotion recognition to dynamically select and play music based on the user's emotional state. The system utilizes computer vision techniques, machine learning models, and real-time emotion analysis t...

Advancements in computer vision have ushered in a transformative era through the fusion of deep learning methodologies and hierarchical image understanding. This paper presents a pioneering framework that integrates adaptive learning mechanisms into the fabric of hierarchical image comprehension using deep neural ne...

In recent years, global road accidents have steadily increased. According to a study conducted by the National Highway Traffic Safety Administration, 46% of vehicle collisions can be attributed to a distracted driver near the incident. Our goal is to introduce a system that is both accurate and reliable in identifyi...

This study presents a novel method for distributed training of deep learning models using Gated Recurrent Unit (GRU) networks, coupled with integrated version control to enhance collaboration and reproducibility. The method addresses challenges in distributed environments, including synchronization overhead and grad...

The increasing demand for distributed computer vision systems has led to challenges in real-time data processing and system reliability. This paper presents a GRU-driven deep learning framework designed for distributed computer vision tasks. By leveraging the efficiency of GRUs in handling sequential data, the frame...

An Intelligent IoT-enabled wearable device for children is described herein, designed to assist young mothers in real-time tracking of vaccination dates and doctor appointments for children aged 0-10 years. The Intelligent IoT-based wearable device for children includes an automated reminder for upcoming vaccination...

Adversarial attacks pose a significant threat to deep learning-based computer vision models, potentially leading to incorrect predictions in safety-critical applications. This invention proposes a Robust Adversarial Network (RAN) designed to enhance model resilience against perturbations through a multi-faceted appr...

The invention discloses a method and system for enhancing cloud security through adversarial networks. A generative adversarial model is employed to simulate cyber threats and improve the accuracy of detection mechanisms. The system classifies cloud events in real-time and activates mitigation protocols autonomously...

This invention relates to an AI-powered system for real-time yoga pose recognition and feedback. The system integrates pose estimation algorithms and machine learning models to detect and classify yoga poses from images or video input. By analyzing skeletal keypoints and extracting spatial features, the system evalu...

The present invention discloses a secure and transparent blockchain-integrated machine learning framework for real-time predictive healthcare diagnostics. The framework combines the immutability and decentralized security of blockchain with the predictive power of machine learning to deliver trustworthy, accurate, a...