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...
Ethical Violations in Contemporary Robotics Reasearch: Cases and Conceptual Analyses through AI and Robot Ethics Frameworks
Authors: Giri Wahyu Wiriasto, Hakkun Elmunsyah, Siti Sendari
Abstract: The development of contemporary robotics—ranging from social assistive robotics (SAR), carebots, and human–robot interaction (HRI) to brain–computer interfaces (BCI) that control robotic arms—...
Introducing Afriscore, a Web-Based Learning Systems for Scoring African Music Nuances: Musical-Engineering Approach to Culturally Informed Software Development
Authors: Authority, O. A. U.
Abstract: This study addresses the urgent need for culturally informed educational technologies by proposing a web-based learning system designed to capture the rhythmic, tonal, and performative nuances of Afri...
Enhancing Project Responsiveness and Efficiency Using Real-Time Tracking for Schools Division Office of Batangas City
Authors: Ali, Aldin Van T.
Abstract: Monitoring programs, projects, and activities (PPAs) is important for transparency, accountability, and making good use of public resources in schools. Still, many organizations use manual and scatter...
Developing Localized Reading Materials: Addressing comprehensions Level of Key Stage 1 and 2 Learners
Authors: Aiza E. Dela Roca
Abstract: In today's learning situation, the reading proficiency of young learners remains a critical concern, particularly in rural schools. Despite significant advances in educational technology and methodolo...
Integrating Artificial Intelligence with Plant Electrophysiology for Early Stress Diagnosis: A Scoping Review
Authors: R.N.I. Basnayake, G.M.S.C Gajendrasinghe, C. Dissanayake
Abstract: This scoping review explores the ways in which plants respond on a constant basis to environmental and biological stresses like drought, nutrient deficiencies, heat, salinity, and pathogen attacks thr...
Anomaly Based Network Intrusion Detection System Using ML
Authors: Suchethana H. C., Monika B. Gouda, Varshini S., Pranati B., Vanyashree R. Naik
Abstract: Network security has become one of the most critical aspects of modern computer systems. New cyber threats emerge every day, and many of them can evade traditional security mechanisms. Anomaly-based i...
Binary Cuckoo Search–Based Feature Selection for Multi-Algorithmic and Multimodal Biometric Authentication
Authors: P. Aruna Kumari
Abstract: Feature-level fusion in multi-algorithmic and multimodal biometric systems produces very high-dimensional feature spaces that significantly degrade classification performance, increase computational a...
A Conceptual Teaching Framework For AI-Ready IoT System Design in TVET Education
Authors: Maizahtulakma M. Khalid, Raja Faraazlina R. Mohamed Junior, Nor Winda Ismail
Abstract: The convergence of Artificial Intelligence (AI) and the Internet of Things (IoT) is reshaping industry expectations of Technical and Vocational Education and Training (TVET) graduates, who are increas...
A Machine Learning Approach for Predicting Clinical Outcomes in Patients with Autoimmune Encephalitis
Authors: Onoseraye Henry Akpovona, Izakpa Getty Ebere, Ako E. Rita
Abstract: Autoimmune encephalitis (AE) is an uncommon but severely debilitating neuroinflammatory disorder that can result in significant neuropsychiatric issues and prolonged disability. The ability to predict...
Skin Disease Detection Using CNN and Yolo
Authors: Suchethana H C, Kavana Nuchin K N, Rashika Y Salunkhe, Chandana C, Swapnitha S
Abstract: Skin diseases are a significant global health issue. They can be as mild as common rashes or as serious as deadly cancers like melanoma. Getting the right diagnosis quickly is key it helps save lives ...
Attribute-Based Encryption with Secure Multi-Party Computation for Fine-Grained Access Control in Cloud-Based Healthcare Systems.
Authors: Asheshemi Nelson Oghenekevwe, Michael Adawaren
Abstract: Cloud-based healthcare systems have transformed the management and sharing of electronic health records (EHRs), telemedicine data, and collaborative medical research by offering scalability, cost effi...
Impact and Use of ICT in Students' Industrial Work Experience Scheme (SIWES) on Science and Engineering Programme among the Public Polytechnics in Oyo State, Nigeria.
Authors: Anjorin Ademola Oluwasegun, Oshotoye Bradford Adedayo
Abstract: This study investigates the impact and utilization of Information and Communication Technology (ICT) in the Students’ Industrial Work Experience Scheme (SIWES) among science and engineering programs...