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Results: 32
Augmented Context-Based Conceptual User Modeling for Personalized Recommendation System in Online Social Networks
As the data on the online social networks is getting larger, it is important to build personalized recommendation systems that recommend suitable content to users, there has been much research in this field that uses conceptual...
Hypertensive patients and its association with age and gender
Objective: To evaluate the resistant hypertension in hypertensive patients and its association with age and gender. Material and methods: This cross sectional study was conducted at Basic Health Unit, Hassan Mandi Bahauddin...
Published by: IJHS Medical Association
Fostering Competency Development Through Knowledge Sharing Capabilities in Onboarding
The study proposes and empirically validates a theoretical model suggesting that employee competency development during the onboarding period largely depends on the availability of knowledge sharing (KS) channels (both digital...
Hypertensive patients and its association with age and gender
Objective: To evaluate the resistant hypertension in hypertensive patients and its association with age and gender. Material and methods: This cross sectional study was conducted at Basic Health Unit, Hassan Mandi Bahauddin...
Published by: IJHS Medical Association
Solving a Real Case of Seafaring Staff Scheduling Problem Using Cuckoo Optimization Algorithm
This work deals with Human Resource Scheduling Problem (HRSP) where fairness is a very important factor when assigning different shifts to the seafaring teams. This type of problem is part and partial of the NP-hard problems...
The Meta-Fusion
Blockchain technology and the metaverse are revolutionizing digital experiences by merging secure, cryptographic systems with shared virtual spaces. These advancements have immense potential across various sectors, including...
Evaluation and Comparative Analysis of Semantic Web-Based Strategies for Enhancing Educational System Development
Educators have been calling for reform for a decade. Recent technical breakthroughs have led to various improvements in the semantic web-based education system. After last year's COVID-19 outbreak, development quickened. Many...
A Credit-Based System for Traffic Routing in Support of Vehicular Networks
Network routing has a great impact on the efficiency and reliability of the traffic network system in a real-world scenario. To date, achieving network-consistent performance is the main goal of many traffic network research...
Comparative Evaluation of Host-Based Translator Mechanisms for IPv4-IPv6 Communication Performance Analysis With Different Routing Protocols
The impending exhaustion of internet protocol (IP) version four (IPv4) addresses necessitates a transition to the more expansive IP version six (IPv6) protocol. However, this shift faces challenges due to the widespread legacy...
Adaptive and Convex Optimization-Inspired Workflow Scheduling for Cloud Environment
Scheduling large-scale and resource-intensive workflows in cloud infrastructure is one of the main challenges for cloud service providers (CSPs). Cloud infrastructure is more efficient when virtual machines and other resources...
Redefining E-Commerce Experience
Integrating virtual reality (VR) and augmented reality (AR) technology into online stores enables more immersive and engaging shopping experiences, which is crucial for businesses to succeed in today's competitive e-commerce...
A Rule-Based Expert Advisory System for Restaurants Using Machine Learning and Knowledge-Based Systems Techniques
A healthy diet and daily physical activity are a cornerstone in preventing serious diseases and conditions such as heart disease, diabetes, high blood pressure, and hypertension. They also play an important role in the healthy...
Information Management and IoT Technology for Safety and Security of Smart Home and Farm Systems
Information management collects data from several online systems. They analyze the information. They issue reports about information for supporting decision-making management. Utilizing current modern innovations try to...
Genetic screening in sporadic ALS and FTD.
The increasing complexity of the genetic landscape in amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) presents a significant resource and physician training challenge. At least 10% of those diagnosed with...
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Machine Learning-Based Automatic Litter Detection and Classification Using Neural Networks in Smart Cities
Machine learning and deep learning are one of the most sought-after areas in computer science which are finding tremendous applications ranging from elementary education to genetic and space engineering. The applications of...
Phishing Website Detection With Semantic Features Based on Machine Learning Classifiers
The phishing attack is one of the main cybersecurity threats in web phishing and spear phishing. Phishing websites continue to be a problem. One of the main contributions to our study was working and extracting the URL & Domain...
Machine Learning for Accurate Software Development Cost Estimation in Economically and Technically Limited Environments
Cost estimation for software development is crucial for project planning and management. Several regression models have been developed to predict software development costs, using historical datasets of previous projects....
Next-Gen Phishing Defense Enhancing Detection With Machine Learning and Expert Whitelisting/Blacklisting
Machine learning has become ubiquitous across industries for its ability to uncover in- sights from data. This research explores the application of machine learning for identifying phishing websites. The efficiency of different...

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