The 10 University Libraries in the USA Worth a Visit
University libraries are essential pillars of higher education, serving as repositories of knowledge and intellectual development. These institutions offer vast collections of books, manuscripts, and digital archives that support academic research and learning. Beyond their academic role, many university libraries are architectural masterpieces that reflect the rich history and culture of their institutions. Some date […]
Improved Correlation Coefficients Of Pentapartitioned Neutrosophic Pythagorean Sets For MADM
Abstract: A correlation coefficient is a statistical measure which contributes to deciding the degree to which changes in one variable predict changes in another. Wang’s single-valued neutrosophic sets have still continued to improve to pentapartitioned neutrosophic sets. In this article, we analyze the characteristics of pentapartitioned neutrosophic Pythagorean sets with improved correlation coefficients. We’ve also […]
Enhancing TCP-PRN For Seamless Handoff Management In Wireless Networks Through Deep Learning And Hybrid Optimization
Abstract Handoff events, in which mobile nodes switch between various network access points, frequently result in performance degradation in wireless networks. TCP-PRN (Path Recovery Notification), a method designed to lessen the negative effects of temporary link disconnections, was developed in response to this challenge. In spite of its potential, precise handoff prediction and managing link […]
A Metaheuristic Approach To Ensembled Deep Learning Based Wind Power Forecasting
Abstract In the field of renewable energy, the accurate forecasting of wind power generation is paramount for grid stability and efficient resource utilization. This paper presents a novel approach to enhance wind power forecasting (WPF) accuracy using an ensemble of deep learning (DL) models and a meta-heuristic framework. The proposed methodology encompasses a comprehensive pre-processing […]
Enhancing Urban Safety With Automated Crime Anomaly Detection Using Ensembled Deep Learning In Smart Cities
Abstract In the context of smart cities, ensuring safety and security is paramount, and the increasing deployment of surveillance cameras presents both an opportunity and a challenge. This paper introduces an automated Crime Anomaly Detection System (CADS) that harnesses the capabilities of Deep Learning (DL) and computer vision to address this challenge. CADS follows a […]
Analysis Of ECG Signals For Ischemic Heart Disease Prediction Using Optimized Artificial Neural Network
Introduction The most prevalent dangerous illness is thought to be heart attacks. Medical practitioners perform numerous surveys on heart disease to acquire data on the illnesses, symptoms, and course of the condition [1]. Since cardiovascular disease is the most predictable disease in the world, it is a major worry for the medical sector in today’s […]
Secure Transfer Of Data In Cloud Computing Using DNA Cryptography With Cipher Techniques
Abstract Cloud computing is a type of distributed computing that allows organizations to store and access data on-demand. It is commonly used for various applications such as network services, storage, and platform services. However, many organizations are not excited about using it due to security concerns. Various researchers have been developing various methods to improve […]
A Review Of Integration Of Fiber Bragg Grating Sensors In The Fourth Industrial Revolution (FBG-4IR)
Abstract Review of the Fiber Bragg Grating (FBG) sensor technology’s state-of-the-art. In the past three decades, FBG sensors have drawn a lot of attention because of their key benefits, which include immunity to electromagnetic interference, lightweight, compact size, high sensitivity, huge operation bandwidth, and excellent multiplexing capabilities. Temperature and strain are the two most extensively […]
A Multi-Core-Multi Objective Based Artificial Intelligence With A Hybrid Meta-Heuristic Based Core Prediction And Resource Allocation
Abstract Asymmetric Multicore Processors (AMP) are becoming used in both advanced and basic computing systems due to their fundamental flexibility and outstanding computing possibilities. Among the subcategories of AMP, Performance Asymmetric Multicore (PAM) Architectures are unique in that they include various micro-architecture cores into a single chip. Nevertheless, the complex interplay between heterogeneous cores and […]
A Novel Approach Based On Fuzzy Rule And LSOWL-CNN Forecasting Students With Dropout Prediction And Recommendation Model
Abstract Governments are primarily concerned with ensuring that all citizens of the world have access to education regardless of their disabilities. This article presents a method for predicting dropout rates among disabled students in order to offer recommendations and alternative pathways for their career enhancement. To achieve this, data on training students’ learning behaviour was […]
Fuzzy Neural Network Application For Determining The Presence Of Social Media Consumption
Abstract A decision-making model for social media addiction is established. Fuzzy mathematics and BP neural networks are used in the model. There are chosen six judging directories. Quantitative directories’ subsidiary grade functions are organised. Expert scoring confuses the qualitative directories. College students who use networks are randomly chosen as samples. The trial demonstrates that the […]
Using Apache Hadoop And Hybrid Deep Learning For Gene-Based Disease Prediction In Healthcare
Abstract Advancements in genetic research have opened up new avenues for understanding and predicting genetic disorders. This study presents a comprehensive pipeline for gene-based disease prediction, leveraging big data and deep learning techniques. The study employs Apache Hadoop-based big data handling to efficiently process and manage the voluminous and intricate genetic datasets. The collected genetic […]
Role Of Social Identity Signalling In Brand Tribalism Of Generational Cohorts
Abstract This research delves deep into the complex interaction between brand loyalty and social identity signalling across generations. People now look to brands more than ever before to convey who they are and where they fit in the ever-changing consumer environment. This study delves into what drives brand loyalists’ need to broadcast their social identities […]
Opportunities And Benefits Of Artificial Algorithms
3.1 Introduction Artificial Intelligence (AI) refers to the emulation of human cognitive abilities in machines imbued with the capacity to engage in logical thinking and exhibit behaviours reminiscent of those displayed by humans. This encompasses the creation of algorithms and computer programs that possess the capability to execute activities which generally necessitate human intellect (Strong, […]
Adapting Jeans Production To Evolving Consumer Preferences
3.1 Introduction In the rapidly changing world of jeans production, comprehending and aligning with evolving consumer preferences and market trends is of utmost importance for ensuring long-lasting success [1]. This study delves into the intricate fabric of the industry with the aim of unravelling the subtle interplay between consumer choices and the ever-changing demands of […]
Fabrication And Evaluation Of Chitosan-Based Electrospun Nanofibers Loaded With Environmentally Synthesized Silver Nanoparticles For Enhanced Wound Healing
Abstract The use of electrospinning to create dressings for wounds has gained more scientific attention over the past few years. In addition to the method’s ease of use, versatility, and scalability, the electrospun nanofiber produced has extraordinary characteristics extraordinary characteristics such as the ability to absorb wound exudate, flexibility, high porosity, and a high surface-to-volume […]
A Multi-Level Fuzzy Aware Denoising Technique With A Gradiant Enhanced Convolution Network With Dual Level Classifier For Detecting And Classifying Psoriasis Disease
Abstract Skin disorders have a reduced mortality rate than other diseases, but because they cause sensations like pain, discomfort, and itching, they have a bigger influence on quality of life. One of the common skin conditions that is immune-mediated and chronically inflammatory is psoriasis. According to estimates, 1.8 billion individuals worldwide have some kind of […]
WebAR In E-Commerce
Chapter 1 Introduction 1.1 Introduction to Augmented Reality (AR) and its Evolution The commerce landscape has been transformed by technology, pushing businesses to innovate and engage with consumers. Augmented Reality (AR) is a recent technological advancement with significant potential (Guinan et al., 2019). AR combines real and virtual worlds in operations. It enhances electronic commerce by […]
Decentralizing Power Generation With Solar Photovoltaic Technology
1.1 Introduction of Solar PV Systems The popularity of renewable energy sources (RES) in electricity generation is diminishing due to the reducing global demand for electricity. RES facilitates the mitigation of global warming and the transition of the conventional electricity grid from a centralized generation system to a decentralized distributed electricity system, incorporating distributed energy […]
AI in Digital Marketing: Enhancing Analytics and Decision-Making
In the dynamic realm of Digital Marketing, data holds paramount importance. Businesses rely on information to comprehend their customers, evaluate the performance of their advertising and marketing campaigns, and make informed decisions. However, with the sheer amount of statistics available, studying it manually may be overwhelming. This is wherein AI in Digital Marketing comes into […]
