A systematic review of waste management solutions using machine learning, Internet of Things and blockchain technologies: state-of-art, methodologies, and …

S Singh, R Chhabra, J Arora - Archives of Computational Methods in …, 2024 - Springer
Urbanization and rising populations are contributing significantly to the problem of garbage
generation in cities. For a quite long time, big cities all around the world have been …

Detection of Emotion Employing Deep Learning Modelling Approach

K Kanna, A Ambikapathy… - 2023 10th IEEE Uttar …, 2023 - ieeexplore.ieee.org
The fields of artificial intelligence, machine learning, human-machine interaction, etc., have
made significant strides in recent years. Using voice commands to engage with machines or …

Systematic Cognitive Computing Framework Application Using Medical Information Processing

RK Kanna, A Ambikapathy… - 2023 10th IEEE Uttar …, 2023 - ieeexplore.ieee.org
In recent years, the convergence of cognitive computing and natural language processing
(NLP) has emerged as a critical field of study, promising significant breakthroughs in …

Convolutional Neural Network Application for Detection & Classification of Brain Tumour

RK Kanna, A Ambikapathy, AM Lafta… - 2023 10th IEEE Uttar …, 2023 - ieeexplore.ieee.org
Brain tumours may be either benign or malignant. The highest grade of brain tumours is
associated with a very poor survival rate. So, plan your treatments ahead of time. Improve …

Machine Learning Based Cardiovascular Detection Approach

RK Kanna, A Ambikapathy, M Brayyich… - 2023 10th IEEE Uttar …, 2023 - ieeexplore.ieee.org
Heart failure is one of the most serious and important diseases to predict between the
enzymes. Recently., artificial intelligence has become fundamental for the survival of the …

AI & Lean Management Principles Based Pharmaceutical Manufacturing Processes

AK Mehta, P Lanjewar, DS Murthy… - 2023 10th IEEE Uttar …, 2023 - ieeexplore.ieee.org
Pharmaceutical manufacturing is a critical industry that demands high precision and
efficiency while adhering to stringent quality standards. This is where artificial intelligence …

Artificial Intelligence-Based Control Strategies for Unmanned Aerial Vehicles

S Prabagar, AK Al-Jiboory, PS Nair… - 2023 10th IEEE Uttar …, 2023 - ieeexplore.ieee.org
Drones, also known as Unmanned Aerial Vehicles, or UAVs, are becoming more and more
well-liked as a multifunctional tool that can be used in a variety of industries, including …

AI and ML for Enhancing Crop Yield and Resource Efficiency in Agriculture

E Siddiqui, M Siddique, P Boyapati… - 2023 10th IEEE Uttar …, 2023 - ieeexplore.ieee.org
In this study, we investigate how AI and ML might revolutionize the agricultural industry,
particularly with regard to increasing crop output while decreasing input costs. Applying AI …

Crop Yield Prediction Through Artificial Neural Networks

PK Kushwaha, A Rana, S Vashisht… - 2023 10th IEEE Uttar …, 2023 - ieeexplore.ieee.org
Evolving technologies like Artificial Intelligence, Machine Learning and Data Science are
being integrated with almost all sectors. Agriculture, being one of the primary sectors is a no …

Object Detection in Images and Videos Using OpenCV: A Comparative Study of Deep Learning and Traditional Computer Vision Techniques

D Rajawat, BP Lohani, A Rana… - 2023 10th IEEE Uttar …, 2023 - ieeexplore.ieee.org
Using OpenCV, this research compares the performance of deep learning with standard
computer vision approaches for detecting object in photos and videos. Recognizing and …