IJRSI - Volume 12, Issue 13
Articles
The Ethics of AI in Financial Planning: Bias, Transparency, and the Role of Human Judgment
Authors: Dolapo Achimugu, Chinaza Ukatu, Arinze E. Anaege
Abstract: The fast-growing use of artificial intelligence (AI) has introduced new ethical issues in the financial services sector. Robo-advisors, loan algorithms, and automated financial instruments now make ch...
AI-Based Intrusion Detection Systems (IDS) For Securing IoT and Smart Grid Networks
Authors: Nwakeze Osita Miracle., Oboti Nwamaka Peace., Umerah Anthony Tochukwu, Nwabudike Uju Cynthia., Chidi-onuigbo Chikaodili
Abstract: The rapid expansion of Internet of Things (IoT)-Smart Grid infrastructures has been heightened in their vulnerability tendencies to diverse and evolving cyber threats, and this prompts the need for ad...
Fraud Detection in Financial Transactions Using Ensemble Machine Learning Models
Authors: Omorogie Michael., Odeh Christopher., Azaka Maduabuchuku., Nwakeze Osita Miracle., Ezekiel-Odimgbe chinenye Love., Obaze Caleb Akachukwu
Abstract: Financial fraud has been identified as a critical challenge in the banking and e-commerce sectors, necessitating the need for accurate and efficient detection systems. Therefore, this study proposes t...
Digit Recognition Using Neural Network
Authors: Frank Ekene Ozioko, Chioma Uchechukwu Ugwa, Izuchukwu Louis Akwudi
Abstract: The application of neural networks to digital recognition through a relatively easy-to-understand by the general public cannot be over emphasize. This paper investigated the several techniques used fo...
A Comparison of Machine Learning Classifiers for Fake News Identification Using the ISOT Dataset: Xgboost and Random Forest Achieve 100% Accuracy
Authors: Kehinde Racheal ILUGBIYIN
Abstract: The swift diffusion of misinformation online is a great threat to public trust and credibility of information. This paper compares four supervised machine learning models: Logistic Regression, Suppor...
Fraud Detection in Financial Transactions Using Ensemble Machine Learning Models
Authors: Omorogie Michael, Odeh Christopher, Azaka Maduabuchuku, Nwakeze Osita Miracle, Ezekiel-Odimgbe chinenye Love, Obaze Caleb Akachukwu
Abstract: Financial fraud has been identified as a critical challenge in the banking and e-commerce sectors, necessitating the need for accurate and efficient detection systems. Therefore, this study proposes t...
Machine Learning and Students'Digital Skills – A Perspective on Integrating AI into Education
Authors: Florentina-Anica Pintea, Victoria Iordan
Abstract: The rapid expansion of Artificial Intelligence (AI) and Machine Learning (ML) technologies is reshaping higher education, creating new expectations for digital competence and employability. This study...
Effective Credit Card Fraud Detection Using Data Mining Techniques
Authors: Ooi Jing Xian
Abstract: Businesses and consumers around the world face financial and security problems related to credit card fraud. Fraudulent activities are becoming more sophisticated, and therefore the need for effective...
Design and Implementation of an IR Sensor-Based Automated Counting and Sorting Conveyor Belt System for Industrial Automation
Authors: Harsh Patel, Kaka Shivam, Sujal Rohit, Ms. Apexa Purohit, Mr. Mayur Chavda, Ms. Ranita Sen, Dr. Mayank Dev Singh, Dr. Anil M. Bisen, Dr. Jai Bahadur Balwanshi
Abstract: In modern industrial automation, the need for efficient material handling and quality control is critical. This research presents the design, development, and implementation of an automated conveyor b...
Human–AI Collaborative Writing Systems: A Technical Architecture for Controlled Co-Creation
Authors: Atreyee Phukan
Abstract: Human–AI collaborative writing systems are rapidly emerging as powerful tools that enhance creativity, productivity, and precision across academic, professional, and creative domains. This paper pre...
Multi-Modal Soft-Skill Interview Assessment: Real-Time Emotion, Speech Analytics, and LLM Scoring
Authors: Sachin Jadhav, Soham Surdas, Saif Khan, Soham Kasurde, Rahul Sakpal
Abstract: We introduce a full-stack, multi-modal platform for soft-skill interview assessment that integrates automatic speech recognition (Whisper), facial-emotion analysis (DeepFace), and LLM reasoning (Gemin...