- Fuzzy Logic and Control Systems
- Neural Networks and Applications
- Air Quality and Health Impacts
- Cardiovascular Disease and Adiposity
- Obesity, Physical Activity, Diet
- Stock Market Forecasting Methods
- Blood Pressure and Hypertension Studies
- Noise Effects and Management
- Face and Expression Recognition
- Heavy Metal Exposure and Toxicity
- Forecasting Techniques and Applications
- Constraint Satisfaction and Optimization
Calcutta Research Group
2022
Increasing amounts of anthropogenic contaminants have heavily polluted the atmosphere. This is one global environmental problems. Deposition atmospheric on earth’s surface brings potential risks to human health. review aims identify posed by lead in atmosphere and its impact Lead most dangerous toxic metals found crust. The lead-induced toxicity through oxidative stress mechanisms includes effect membranes, DNA, antioxidant defense systems cells. It affects various target sites including...
Abstract: The financial domain presents a complex environment for stock market prediction, characterized by volatile patterns and the influence of multifaceted data sources. Traditional models have leveraged either Convolutional Neural Networks (CNN) spatial feature extraction or Long Short-Term Memory (LSTM) networks capturing temporal dependencies, with limited integration external textual data. This paper proposes novel Two-Level Conv-LSTM Network integrated Large Language Model (LLM)...
The financial domain presents a complex environment for stock market prediction, characterized by volatile patterns and the influence of multifaceted data sources. Traditional models have leveraged either Convolutional Neural Networks (CNN) spatial feature extraction or Long Short-Term Memory (LSTM) networks capturing temporal dependencies, with limited integration external textual data. This paper proposes novel Two-Level Conv-LSTM Network integrated Large Language Model (LLM) comprehensive...
While multivariate logistic regression classifiers are a great way of implementing collaborative filtering - method making automatic predictions about the interests user by collecting preferences or taste information from many other users, we can also achieve similar results using neural networks. A recommender system is subclass that provide suggestions for items most pertinent to particular user. perceptron network machine learning model designed fitting complex datasets backpropagation...
While time complexity and space of an algorithm helps to determine its efficiency when or needs be optimized respectively, they fail the more efficient both need simultaneously. This resulted in development A1-Score Factor which solve problem i.e., find optimizes The following research paper contains hypothesis, proof, theoretical graphical implementation along with use cases same.
The incidence of hypertension (HTN) is on rise across the globe. It highest in low-income countries and obesity/adiposity have a great impact that. aim present study was to find out association between some measures adiposity with blood pressure (BP) levels identify gold standard determining HTN. This cross-sectional conducted among 159 adolescent school going children from suburban area near Lucknow, India. T-test, correlation coefficient Receiver Operating Characteristics (ROC) curve...