E-Commerce Business Model Analysis and Success in Urban Areas Using AI-Distributed Machine Learning

A Sungheetha, B Bharathi, D Ganesan… - 2023 International …, 2023 - ieeexplore.ieee.org
This study presents a comprehensive analysis of the e-commerce business model success
in urban areas through the integration of AI distributed machine learning techniques. The …

Malicious node detection using SVM and secured data storage using blockchain in WSN

AKS Yadav, SS Sivaraju, B Radha, M Sushith… - International Journal of …, 2024 - Springer
Abstract Wireless Sensor Networks (WSNs) have numerous important applications, but their
vulnerability to malicious nodes seriously compromises data integrity and network reliability …

A Ensemble Deep Learning approach on risk management in finance and marketing sector

KRC Lakshmi, P Ratnaraju, SK Sharma… - 2024 15th …, 2024 - ieeexplore.ieee.org
The ensemble deep getting to know technique is a powerful and innovative tool for danger
control inside the finance and advertising quarter. It combines the strengths of more than …

Strategic Workforce Planning in the Digital Age using Deep Naive Bayes Approach for HR Professionals

D Praveenadevi, D Aparna… - 2024 10th …, 2024 - ieeexplore.ieee.org
Organizations need to prioritize strategic business planning (SWP) to gain competitive
advantage. However, HR professionals often have difficulty using existing information to …

AltWOA: enhancing query performance with clustering-based optimisation

MS Rani, NR Sai - International Journal of Cloud …, 2024 - inderscienceonline.com
Big data (BD) is gaining a lot of attention in the information field due to the data growth in the
preceding ten years. A fundamental purpose of philosophical'query optimisation'(QO) …

Leveraging Artificial Intelligence And Machine Learning For Advanced Customer Relationship Management In The Retail Industry

B Girimurugan, K Gokul, MSS Sasank… - 2024 2nd …, 2024 - ieeexplore.ieee.org
Maintaining success in the ever-changing retail sector requires careful attention to customer
interactions. Understanding and satisfying client expectations are crucial for growth in the …

Logistics 4.0 By Integrating Artificial Intelligence for Real-Time Decision-Making in Supply Chain Management

ML Veerapaneni, P Tamilselvan… - 2024 10th …, 2024 - ieeexplore.ieee.org
In the era of Logistics 4.0, the combination of Artificial Intelligence (AI) has emerged as a
transformative force in optimizing Supply Chain Management (SCM). This study addresses …

Innovations In Hr Analytics By Using Swarm Based Ann For Employee Performance Prediction

ML Veerapaneni, K Malarkodi… - 2024 15th …, 2024 - ieeexplore.ieee.org
In today business world, improving employee management is important for organizations,
and HR analytics plays a key role in achieving this goal. This study offers a new perspective …

Strategic Integration Of Business Intelligence And Risk Management For Financial Institutions Using A Deep Random Forest Approach

IM Krishna, S Nagarajan, S Amulya… - 2024 2nd …, 2024 - ieeexplore.ieee.org
In the dynamic field of finance, it is crucial to integrate risk management and business
intelligence (BI and RM, respectively) in a strategic manner to achieve long-term success …

Ethical and Privacy Considerations in AI-Driven AD Research

MA Matheen, Z Hasan, AK Lodhi… - AI-Driven Alzheimer's …, 2024 - igi-global.com
The advancement of artificial intelligence (AI) has brought on sizeable inclinations in
scientific research, especially in the subject of Alzheimer's disease (AD). As AI maintains to …