Comparative analysis of customer loan approval prediction using machine learning algorithms

P Tumuluru, LR Burra, M Loukya… - … and Smart Energy …, 2022 - ieeexplore.ieee.org
In today's increasingly competitive market, estimating the risk involved in a loan application
is one of the most crucial challenges for banks' survival and profitability. The banks receive …

Twitter spam detection using naïve bayes classifier

KU Santoshi, SS Bhavya, YB Sri… - 2021 6th international …, 2021 - ieeexplore.ieee.org
Twitter is the well liked social media platform that has over 300 million monthly users which
post 500 million tweets per day. This is the main reason why spammers use Twitter for their …

Intelligent voice assistant by using OpenCV approach

CHMH Saibaba, SF Waris, SH Raju… - … on electronics and …, 2021 - ieeexplore.ieee.org
The basic plan of our work is to design and implement Artificial Intelligence based Voice
Recognition System Software and to create a bundle that consists integration of several …

Dpmlt: Diabetes prediction using machine learning techniques

P Tumuluru, LR Burra, KK Sushanth… - … on Electronics and …, 2022 - ieeexplore.ieee.org
One of the most frequent chronic diseases is diabetes, which can afflict anyone, regardless
of age. When the glucose or sugar level is too high, several diseases attack. Diabetes …

Detection of COVID disease from CT scan images using CNN model

P Tumuluru, P Srinivas… - … and Smart Energy …, 2022 - ieeexplore.ieee.org
The world is affected by an existential global health crisis called the COVID-19 pandemic.
Countries like the United States, India and Russia are still having and gaining positive …

Fine-tuning for transfer learning of ResNet152 for disease identification in tomato leaves

LR Burra, J Bonam, P Tumuluru… - … : Proceedings of ICDIC …, 2022 - Springer
Plants provide a significant portion of the world's food supply. Tomato is the most popular
plant which is cultivated worldwide. The tomato leaf disease is the primary factor in …

Prediction of public mental health by using machine learning algorithms

CMH Saibaba, KVK Alekhya… - … and smart energy …, 2022 - ieeexplore.ieee.org
Interpretation public emotional wellness concerns utilizing data science and observing
arrangements dependent on the discoveries from the data science tasks can be complicated …

APMWMM: Approach to Probe Malware on Windows Machine using Machine Learning

P Tumuluru, LR Burra, MVV Reddy… - … on Applied Artificial …, 2022 - ieeexplore.ieee.org
The popularity of Windows gadgets is growing as well and are more defenseless to malware
attacks. This venture proposes a modern imaging strategy to identify malware viably by …

SMS: Signs may save–traffic sign recognition and detection using CNN

P Tumuluru, LR Burra, N Sunanda… - 2022 6th …, 2022 - ieeexplore.ieee.org
Traffic sign classification automatically detects roadside traffic signs, such as speed limit
signs, yield signs, etc. Automatically recognizing traffic signs enables the development of …

Sddd: stacked ensemble model for driver drowsiness detection

P Tumuluru, SS Kumar, N Sunanda… - … Conference on smart …, 2023 - ieeexplore.ieee.org
The leading cause of road accidents is drowsiness. According to statistics, drowsy drivers
cause accidents. According to a National Sleep Foundation survey, 20% of drivers are …