Search Results - "Garg, Kaushiv"

Auto Hyperparameter Tuning Approach for Connection of Industrial IOT 4.0 Devices Using Long Short-Term Memory (LSTM) Classification Approach by Garg, Kaushiv, Singh Gill, Kanwarpartap, Aggarwal, Priyanshi, Singh, Mukesh, Banerjee, Deepak

“…Improving how well a machine learning model works is very much based on adjusting the hyperparameters. LSTM networks are used a lot in predicting sequences and…”
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Implementing the XGBOOST Classifier for Bankruptcy Detection and Smote Analysis for Balancing Its Data by Garg, Kaushiv, Gill, Kanwarpartap Singh, Malhotra, Sonal, Devliyal, Swati, Sunil, G

“…Equipped with a comprehensive range of established financial indicators and ratios, the XGBoost model is capable of detecting patterns that may discern between…”
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Distributed Denial of Services (DDoS) Botnet Attack Prevention in Internet of Things (IoT) Devices Using AI by Garg, Kaushiv, Gill, Kanwarpartap Singh, Chauhan, Rahul, Rawat, Devyani, Banerjee, Deepak

“…The expeditious adoption of Internet of Things (IoT) devices has facilitated the emergence of complex cybersecurity risks, notably Distributed Denial of…”
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Identifying and Classifying Electrical Faults by Putting the XGBoost Classifier through Its Efficiency by Garg, Kaushiv, Gill, Kanwarpartap Singh, Kumar, Mukesh, Rawat, Ruchira, Sunil, G

“…In this study, we investigate how the XGBoost (XGB) classifier may be used to detect and categorise electrical problems. Many different kinds of malfunctions…”
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Fraud & Anomaly Detection: Using Fine-tuned OCSVM Algorithm and visualization of the enhanced results using Machine Learning Techniques by Garg, Kaushiv, Gill, Kanwarpartap Singh, Aggarwal, Priyanshi, Rawat, Ramesh Singh, Banerjee, Deepak

“…Diversion from traditional methods of fraud detection by tackling the issue of insufficient class labels in corporate data is very essential. In contrast, the…”
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