[PDF][PDF] Ensemble Machine Learning Based Identification of Adult Epilepsy.

MI Basheer Ahmed, RA Zaghdoud… - Mathematical …, 2023 - academia.edu
Accepted: 12 October 2022 Epilepsy is a chronic non-communicable illness that affects
brain individuals and impacts more than 50 million people globally. To predict epileptic …

A DEEP LEARNING METHODOLOGY FOR PLANT SPECIES RECOGNITION USING MORPHOLOGY OF LEAVES

D Barhate, S Pathak, AK Dubey - ASEAN Engineering Journal, 2023 - journals.utm.my
Plants play a crucial role in supporting all forms of life on Earth, not just humans but every
living organism. Understanding the diverse range of plant species that surround us is …

Image Based Feature Separation Using RBM Tech with ADBN Tech for Accurate Fruit Classification

V Revathi, BP Kavin, A Thirumalraj… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
One of the fastest-growing subfields of computer vision and picture categorization is fruit
identification. The fruit industry could start using a standardised categorization system so …

Food Classification by extracting the important features using VGGNet based Models in Precision Agriculture

R Mahaveerakannan, KK Devi - 2024 2nd International …, 2024 - ieeexplore.ieee.org
Image categorization is quickly rising to the forefront as a potential component of computer
vision-based object recognition. Nevertheless, study has only made preliminary progress in …

Deep Learning Approaches for Enhancing Content Retrieval

S Khurana, S Singh… - … on Smart Generation …, 2023 - ieeexplore.ieee.org
Deep learning strategies for content material retrieval have been explored and updated to
cope with the want for accurate search effects. This machine up to date is used to date …

Investigating the Potential of Machine Learning for Enhancing Real-Time Data Analysis

K Singh, V Mahalakshmi, PG Chavhan… - … on Smart Generation …, 2023 - ieeexplore.ieee.org
This abstract discusses the capability of system learning to serve as a device for real-time
facts evaluation and its ability to decorate the accuracy of the resulting insights. Specifically …

SYN Flood DoS Detection System Using Time Dependent Finite Automata

N AlDossary, S AlQahtani, R Alzaher - International Journal of …, 2023 - koreascience.kr
Network intrusion refers to any unauthorized penetration or activity on a computer network.
This upsets the confidentiality, integrity, and availability of the network system. One of the …

Improved Fruit Detection by Image Processing using Deep Learning

P Jayakrishna, M Naveen… - … Computing and Data …, 2023 - ieeexplore.ieee.org
In the food market today, where everyone is concerned about their health, the capability of a
deep learning architecture to recognize fruits based on their quality is crucial. Fruits come in …

Automated Fruit Identification using Modified AlexNet Feature Extraction based FSSATM Classifier

MA Thirumalraj, B Rajalakshmi, BS Kumar, S Stephe - 2024 - researchsquare.com
Because fruits are complex, automating their identification is a constant challenge. Manual
fruit categorisation is a difficult task since fruit types and subtypes are often location …

[PDF][PDF] Mathematical Modelling of Engineering Problems

D AlKhulaifi, M AlQahtani, Z AlSadeq… - … homepage: http://iieta …, 2022 - academia.edu
Received: 24 Janurary 2022 Accepted: 2 August 2022 Differential Evolution (DE) is a widely
used global searching algorithm that solves realworld optimization problems. It is …