Yogesh Kumar
YOU?
Author Swipe
View article: Thermal gradient-driven skyrmion dynamics with near-zero skyrmion Hall angle
Thermal gradient-driven skyrmion dynamics with near-zero skyrmion Hall angle Open
Thermal gradient driven skyrmion dynamics offers a promising route toward green spintronics, enabling the utilization of waste heat for information transport and processing. Using micromagnetic simulations, we investigate Neel skyrmions in…
View article: Design, Contact Modeling, and Collision-inclusive Planning of a Dual-stiffness Aerial RoboT (DART)
Design, Contact Modeling, and Collision-inclusive Planning of a Dual-stiffness Aerial RoboT (DART) Open
Collision-resilient quadrotors have gained significant attention given their potential for operating in cluttered environments and leveraging impacts to perform agile maneuvers. However, existing designs are typically single-mode: either s…
View article: Enhancing Crop Health: Advanced Machine Learning Techniques for Prediction Disease in Palm Oil Tree
Enhancing Crop Health: Advanced Machine Learning Techniques for Prediction Disease in Palm Oil Tree Open
Palm oil trees are one of the key crops in the world's agricultural economy yet they are vulnerable to a number of diseases which can reduce yields substantially. Currently disease detection and management is usually labor intensive and sl…
View article: Augmented Reality (AR) for Precision Farming: Enhancing Farmer Decision-Making in Pest Control
Augmented Reality (AR) for Precision Farming: Enhancing Farmer Decision-Making in Pest Control Open
Pest control in modern agriculture is a huge challenge where traditional ways are often labor intensive, error-prone, and require heavy use of pesticides that damage the environment. This was developed to respond to these challenges throug…
View article: A Hybrid Transfer Learning Approach Using Obesity Data for Predicting Cardiovascular Diseases Incorporating Lifestyle Factors
A Hybrid Transfer Learning Approach Using Obesity Data for Predicting Cardiovascular Diseases Incorporating Lifestyle Factors Open
Cardiovascular Diseases (CVDs), particularly heart diseases, are becoming a significant global public health concern. This study enhances CVD detection through a novel approach that integrates obesity prediction using machine learning (ML)…
View article: Machine Learning-Based Prediction System for Risk Assessment of Hypertension Using Symptoms Investigations
Machine Learning-Based Prediction System for Risk Assessment of Hypertension Using Symptoms Investigations Open
Hypertension is a common condition of cardiovascular disease that poses significant health challenges among the public on a larger scale globally. It is important to accurately predict the risk of hypertension to save people and improve ov…
View article: Advanced CNN models in gastric cancer diagnosis: enhancing endoscopic image analysis with deep transfer learning
Advanced CNN models in gastric cancer diagnosis: enhancing endoscopic image analysis with deep transfer learning Open
Introduction The rapid advancement of science and technology has significantly expanded the capabilities of artificial intelligence, enhancing diagnostic accuracy for gastric cancer. Methods This research aims to utilize endoscopic images …
View article: Comprehensive Review of Machine Learning Applications in Heart Disease Prediction
Comprehensive Review of Machine Learning Applications in Heart Disease Prediction Open
Heart infections are responsible, for deaths and nowthey are a major contributor to depression in many individuals. To prevent fatalities, regular monitoring and early identification of heart conditions can significantly reduce the number …
View article: Deep Learning Models for Accurate Diagnosis and Detection of Bone Pathologies: A Comprehensive Analysis and Research Challenges
Deep Learning Models for Accurate Diagnosis and Detection of Bone Pathologies: A Comprehensive Analysis and Research Challenges Open
The presence of bone disease has been observed to have a substantial influence on an individual's overall health. There are conventional techniques to detect as well as diagnose them but they often suffer limitations in the form of misdiag…
View article: A review of privacy-preserving machine learning algorithms and systems
A review of privacy-preserving machine learning algorithms and systems Open
There is an enormous amount of data being gathered, and great scope of information-based learning is possible through this data, termed machine learning (ML). Along with this, there is a larger concern for the privacy of the users whose da…
View article: AI-Driven Digital Twin Model for Reliable Lithium-Ion Battery Discharge Capacity Predictions
AI-Driven Digital Twin Model for Reliable Lithium-Ion Battery Discharge Capacity Predictions Open
The present study proposes a novel method for predicting the discharge capabilities of lithium-ion (Li-ion) batteries using a digital twin model in practice. By combining cutting-edge machine learning techniques, such as AdaBoost and long …
View article: Advanced deep learning techniques for early disease prediction in cauliflower plants
Advanced deep learning techniques for early disease prediction in cauliflower plants Open
Agriculture plays a pivotal role in the economies of developing countries by providing livelihoods, sustenance, and employment opportunities in rural areas. However, crop diseases pose a significant threat to both farmers’ incomes and food…
View article: Spin wave behavior of a novel hopfion-like chiral state in Co/Pt nanodiscs
Spin wave behavior of a novel hopfion-like chiral state in Co/Pt nanodiscs Open
This work discusses the rich phase diagram of non-trivial chiral spin textures in confined ferromagnetic/heavy-metal (FM/HM) bilayer nanomagnets of circular cross-section. These spin textures are realized as a minimum-energy ground state d…
View article: Automated System for Prediction and Prognosis of Infection Diseases Using Deep Learning-Based Approaches
Automated System for Prediction and Prognosis of Infection Diseases Using Deep Learning-Based Approaches Open
Objectives: This study explores the potential of deep learning-based techniques to improve disease management and intervention by focusing on their use in infectious disease prediction and prognosis. Methods: The research used deep learnin…
View article: Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda
Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda Open
Artificial intelligence can assist providers in a variety of patient care and intelligent health systems. Artificial intelligence techniques ranging from machine learning to deep learning are prevalent in healthcare for disease diagnosis, …
View article: Computational Intelligence and Metaheuristic Techniques for Brain Tumor Detection through IoMT‐Enabled MRI Devices
Computational Intelligence and Metaheuristic Techniques for Brain Tumor Detection through IoMT‐Enabled MRI Devices Open
The brain tumor is the 22 nd most common cancer worldwide, with 1.8% of new cancers. It is likely the most severe ailment that necessitates early discovery and treatment, and it requires the competence of neurosubject‐matter experts and ra…
View article: Movie Popularity and Target Audience Prediction Using the Content-Based Recommender System
Movie Popularity and Target Audience Prediction Using the Content-Based Recommender System Open
The movie is one of the integral components of our everyday entertainment. The worldwide movie industry is one of the most growing and significant industries and seizing the attention of people of all ages. It has been observed in the rece…
View article: Automatic License Plate Recognition System for Vehicles Using a CNN
Automatic License Plate Recognition System for Vehicles Using a CNN Open
Automatic License Plate Recognition (ALPR) systems are important in Intelligent Transportation Services (ITS) as they help ensure effective law enforcement and security. These systems play a significant role in border surveillance, ensurin…