Light weight structure texture feature analysis for character recognition using progressive stochastic learning algorithm
SR Bose, R Singh, Y Joshi, A Marar… - … of Generative AI and …, 2024 - igi-global.com
Handwritten character recognition is a challenging task in the field of image processing and
pattern recognition. The success of character recognition systems depends heavily on the …
pattern recognition. The success of character recognition systems depends heavily on the …
Graphical Insight: Revolutionizing Seizure Detection with EEG Representation
Epilepsy is characterized by recurring seizures that result from abnormal electrical activity in
the brain. These seizures manifest as various symptoms including muscle contractions and …
the brain. These seizures manifest as various symptoms including muscle contractions and …
[PDF][PDF] B. Vaidianathan Mechanical and Morphological Comparison of Naoh-Treated Banana Fiber Reinforced Glass Fiber
S Manikandan, M Gandhi - Central Asian Journal of Theoretical …, 2024 - researchgate.net
In addition to having excellent mechanical qualities, banana fibre is a naturally occurring
fibre material that is available in vast quantities. By producing hybrid composite materials …
fibre material that is available in vast quantities. By producing hybrid composite materials …
Predicting Pre-Owned Car Prices Using Machine Learning
R Sudharshan, B Priya - … Asian Journal of …, 2023 - cajmns.centralasianstudies.org
The steady increase in annual car manufacturing over the past decade is reflected in 2016's
record high of more than 90 million passenger vehicles. As a result, there is now a booming …
record high of more than 90 million passenger vehicles. As a result, there is now a booming …
Technological Frontier on Hybrid Deep Learning Paradigm for Global Air Quality Intelligence
SS Priscila, DC Pappa, MS Banu, ES Soji… - Cross-Industry AI …, 2024 - igi-global.com
This hybrid deep-learning study focuses on pollutant concentration. It illuminates
convolutional neural networks (CNN) and long short-term memory in hybrid deep learning …
convolutional neural networks (CNN) and long short-term memory in hybrid deep learning …
Enhancing Authentication Methods in Online Banking Using Face Recognition with Hybrid Pins
S Sardar - Central Asian Journal of Innovations on …, 2023 - cajitmf.centralasianstudies.org
Researchers have been drawn to this problem because of the increasing prevalence of
authentication-related malware and the critical nature of authentication security. Since the …
authentication-related malware and the critical nature of authentication security. Since the …
Efficient Feature Extraction Method for Traffic Surveillance in Intelligent Transportation Systems
K Hemalakshmi, A Muthukumaravel - Cross-Industry AI Applications, 2024 - igi-global.com
As the use of automobiles increases, traffic control surveillance becomes a significant
problem in the real world. For effective urban traffic management, real-time, accurate, and …
problem in the real world. For effective urban traffic management, real-time, accurate, and …
Open Hole-Wireline Logging to Determine the Characteristics of the Reservoir
M Usama, M Rifan, A Nagarajan… - CENTRAL …, 2023 - cajmtcs.centralasianstudies.org
Openhole well logging encompasses a diverse range of measurements, including as
measurement-while-drilling (MWD) logs, standard wireline logs, and mud logs. These …
measurement-while-drilling (MWD) logs, standard wireline logs, and mud logs. These …
Shraddha Naik Soudamini Gandhi
A Hippalgaonkar, S Shamsi - Clinical and Comparative Research …, 2024 - books.google.com
During routine caesarean births, spinal anaesthesia causes hemodynamic reactions that
complicate anaesthesia. Hypotension and bradycardia can harm the mother and foetus. This …
complicate anaesthesia. Hypotension and bradycardia can harm the mother and foetus. This …
Binary modified Cat and Mouse based Optimizer for medical feature selection: A COVID-19 case study
MK Parizi - 2024 - researchsquare.com
Recent technological advances in medical diagnosis have led to the generation of high-
dimensional datasets. The presence of redundant and irrelevant features in these datasets …
dimensional datasets. The presence of redundant and irrelevant features in these datasets …