eagri: Smart agriculture monitoring scheme using machine learning strategies
J Venkatesh, KK Ramasamy, M Aruna… - … and Smart Electrical …, 2022 - ieeexplore.ieee.org
The logic of Machine Learning and its predictive strategies are applied to many different
applications to attain good benefits over now-a-days. This paper associates the machine …
applications to attain good benefits over now-a-days. This paper associates the machine …
Detection of Face Mask using Convolutional Neural Network (CNN) based Real-Time Object Detection Algorithm You Only Look Once-V3 (YOLO-V3) Compared with …
A Shaik, RT Prabu, S Radhika - 2023 International Conference …, 2023 - ieeexplore.ieee.org
Proposed work refers to detect face masks using a CNN based on a real-time object
detection algorithm in comparison to (Single Stage Detector) SSD, Yolo-V3. The Yolo-V3 …
detection algorithm in comparison to (Single Stage Detector) SSD, Yolo-V3. The Yolo-V3 …
Improving the accuracy of intrusion detection system in the detection of DoS using Naive Bayes with random forest feature elimination and comparing with Naive …
AS Kumar, TJ Nagalakshmi - AIP Conference Proceedings, 2024 - pubs.aip.org
Developing and evaluating a new intrusion detection system (IDS) that combines random
forest component removal with naive bayes is the main goal of the study. We used the NSL …
forest component removal with naive bayes is the main goal of the study. We used the NSL …
Comparison of Novel Random Forest Algorithm over Gaussian Naïve Bayes for Improving Accuracy in Software Bug Prediction System
K Bharath, G Anitha - 2024 15th International Conference on …, 2024 - ieeexplore.ieee.org
This research work focuses on analyzing the performance of a proposed random forest (RF)
method with that of Gaussian Naive Bayes in predicting software problems. The database …
method with that of Gaussian Naive Bayes in predicting software problems. The database …
Improved accuracy in automatic deduction of cyberbullying using recurrent neural network and compare accuracy with logistic regression
KB Reddy, G Ramkumar - AIP Conference Proceedings, 2024 - pubs.aip.org
This study looks at how well a recurrent Neural Network and a logistic regression classifier
can detect cyberbullying. Methods and Equipment Used in the Study: This approach makes …
can detect cyberbullying. Methods and Equipment Used in the Study: This approach makes …
Detection of face mask using convolutional neural network-based real-time object detection algorithm you only look once-V4 (YOLO-V4) compared with you only look …
A Shaik, RT Prabu - AIP Conference Proceedings, 2024 - pubs.aip.org
In contrast to Yolo-v3 and the New Yolo-v4, the research suggested uses a Convolutional
Neural Network built on an actual-time entity identification technique to identify facial …
Neural Network built on an actual-time entity identification technique to identify facial …
A comparative study of cryptocurrency price prediction using vector autoregression and gated recurrent units
HS Marasani, S Thangaraj - AIP Conference Proceedings, 2024 - pubs.aip.org
Cryptocurrency price calculation and prediction is the subject of this research. the novel
Vector Autoregression algorithm and comparing it with the Gated Recurrent Units (GRU) …
Vector Autoregression algorithm and comparing it with the Gated Recurrent Units (GRU) …
Distributed Attacks Classification Based on Radical Basis Function and Particle Swarm Optimization In Hypervisor Layer
The term 'cloud computing'refers to a concept for on-demand provisioning of computer
resources (including hardware and software) through the Internet. Cloud computing's …
resources (including hardware and software) through the Internet. Cloud computing's …
Real time loan prediction system using novel logistic regression algorithm compared random forest algorithm for increased accuracy rate
BV Charan, K Logu - AIP Conference Proceedings, 2024 - pubs.aip.org
Continuous loan forecasts are made more accurate in this study by using new logistic
regression (NLR) and random forest techniques. These are estimations that are close to …
regression (NLR) and random forest techniques. These are estimations that are close to …
Improving the accuracy of intrusion detection system in the detection of DoS using Naive Bayes with backward feature elimination and comparing with Naive Bayes …
AS Kumar, TJ Nagalakshmi - AIP Conference Proceedings, 2024 - pubs.aip.org
The effectiveness of Naive Bayes in conjunction with and without feature removal will be
investigated using an IDS that generates a unique IDS by using backward feature deletion …
investigated using an IDS that generates a unique IDS by using backward feature deletion …