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View article: Retentive-HAR: Human Activity Recognition from Wearable Sensors with Enhanced Temporal and Inter-Feature Dependency Retention
Retentive-HAR: Human Activity Recognition from Wearable Sensors with Enhanced Temporal and Inter-Feature Dependency Retention Open
Human Activity Recognition (HAR) using wearable sensor data plays a vital role in health monitoring, context-aware computing, and smart environments. Many existing deep learning models for HAR incorporate MaxPooling layers after convolutio…
View article: The Usage and Benefits of Jetson Nano for Deployment of Machine Learning Algorithms for Water Potability Prediction
The Usage and Benefits of Jetson Nano for Deployment of Machine Learning Algorithms for Water Potability Prediction Open
This study analyses the benefits of NVIDIA Jetson Nano in deploying machine learning algorithms to forecast water potability. Jetson Nano will be a compact and cost-effective edge water potability analysis solution due to its powerful Grap…
View article: Investigation of Deep Learning Techniques Used in Medicinal Plants Identification and Classification
Investigation of Deep Learning Techniques Used in Medicinal Plants Identification and Classification Open
View article: Prompt Design through ChatGPT’s Zero-Shot Learning Prompts: A Case of Cost-Sensitive Learning on a Water Potability Dataset
Prompt Design through ChatGPT’s Zero-Shot Learning Prompts: A Case of Cost-Sensitive Learning on a Water Potability Dataset Open
Datasets used in AI applications for human health require careful selection. In healthcare, machine learning (ML) models are fine-tuned to reduce errors, and our study focuses on minimizing errors by generating code snippets for cost-sensi…
View article: Modelling of consumer dynamics to improve fuel gas blending control
Modelling of consumer dynamics to improve fuel gas blending control Open
View article: State-of-the-Art in 1D Convolutional Neural Networks: A Survey
State-of-the-Art in 1D Convolutional Neural Networks: A Survey Open
Deep learning architectures have brought about new heights in computer vision, with the most common approach being the Convolutional Neural Network (CNN). Through CNN, tasks previously deemed unattainable, including facial recognition, aut…
View article: Pattern Matching in Python: Expanding the Horizons of Engineering Applications
Pattern Matching in Python: Expanding the Horizons of Engineering Applications Open
Pattern matching is a powerful programming construct that simplifies code, enhances readability, and enables efficient handling of complex data structures. This paper introduces the pattern matching feature newly introduced in Python 3.10 …
View article: A Comprehensive Analysis of Real-Time Car Safety Belt Detection Using the YOLOv7 Algorithm
A Comprehensive Analysis of Real-Time Car Safety Belt Detection Using the YOLOv7 Algorithm Open
Using a safety belt is crucial for preventing severe injuries and fatalities during vehicle accidents. In this paper, we propose a real-time vehicle occupant safety belt detection system based on the YOLOv7 (You Only Look Once version seve…
View article: A Bridge to Machine Learning for Zero Computer Science Community: A Machine Learning Path with Linear Regression
A Bridge to Machine Learning for Zero Computer Science Community: A Machine Learning Path with Linear Regression Open
Based on LinkedIn poll results, professionals from non-computer science backgrounds have developed an interest in data science and most intend to enter the field through Machine Learning, but do not know where to start (Webb et al., 2021) …
View article: Automatic Fuzzy Logic-Based Maize Common Rust Disease Severity Predictions with Thresholding and Deep Learning
Automatic Fuzzy Logic-Based Maize Common Rust Disease Severity Predictions with Thresholding and Deep Learning Open
Many applications of plant pathology had been enabled by the evolution of artificial intelligence (AI). For instance, many researchers had used pre-trained convolutional neural networks (CNNs) such as the VGG-16, Inception, and Google Net …
View article: An Algorithm for Severity Estimation of Plant Leaf Diseases by the Use of Colour Threshold Image Segmentation and Fuzzy Logic Inference: A Proposed Algorithm to Update a “Leaf Doctor” Application
An Algorithm for Severity Estimation of Plant Leaf Diseases by the Use of Colour Threshold Image Segmentation and Fuzzy Logic Inference: A Proposed Algorithm to Update a “Leaf Doctor” Application Open
This paper explains a proposed algorithm for severity estimation of plant leaf diseases by using maize leaf diseased samples. In the literature, a number of researchers have addressed the problem of plant leaf disease severity estimation, …
View article: A Computational Procedure for the Recognition and Classification of Maize Leaf Diseases Out of Healthy Leaves Using Convolutional Neural Networks
A Computational Procedure for the Recognition and Classification of Maize Leaf Diseases Out of Healthy Leaves Using Convolutional Neural Networks Open
Plant leaf diseases can affect plant leaves to a certain extent that the plants can collapse and die completely. These diseases may drastically decrease the supply of vegetables and fruits to the market, and result in a low agricultural ec…
View article: A Smart Procedure for Severity Estimation of the Maize Leaf Diseases by the Use of Image Segmentation and Fuzzy Logic Inference
A Smart Procedure for Severity Estimation of the Maize Leaf Diseases by the Use of Image Segmentation and Fuzzy Logic Inference Open
This paper explains a proposed taxonomic and smart procedure for severity estimation of the maize leaf diseases. However, few researchers have addressed the problem of disease severity estimation, but none have used a detailed procedure by…
View article: Deep Learning Models for the Detection of Plant Leaf Diseases: A Systematic Review
Deep Learning Models for the Detection of Plant Leaf Diseases: A Systematic Review Open
Machine learning systems use different algorithms to detect the diseases affecting the plant leaves. Nevertheless, selecting a suitable machine learning framework differs from study to study, depending on the features and complexity of the…
View article: A Computational Procedure for the Recognition and Classification of Maize Leaf Diseases out of Healthy Leaves Using Convolutional Neural Networks
A Computational Procedure for the Recognition and Classification of Maize Leaf Diseases out of Healthy Leaves Using Convolutional Neural Networks Open
Plant leaf diseases can affect the plants’ leaves to an extent that the plants can collapse and die completely. These diseases may drastically drop the supply of vegetables and fruits to the market, and result in a low agricultural e…
View article: A fuzzy logic micro-controller enabled system for the monitoring of micro climatic parameters of a greenhouse
A fuzzy logic micro-controller enabled system for the monitoring of micro climatic parameters of a greenhouse Open
Motivation behind this master dissertation is to introduce a novel study called " A fuzzy logic micro-controller enabled system for the monitoring of micro-climatic parameters of a greenhouse" which is capable of intelligently monitoring a…