Vol. 2 No. 2 (2025)

Articles

• Articles

  Predictive Waste-to-Resource Ecosystem Using Big Data & IoT

  Ahmed Mohamed Sayed

  The move towards a green globalization has increased the rate at which waste is turned into wealth using smart systems. The paper presents an idea of Predictive Waste-to-Resource Ecosystem (PWRE) using the Internet of Things (IoT) and Big Data Analytics to streamline the process of waste…

  View Article → 01-11
• Articles

  Exploring Public Trust in AI Healthcare Systems: A Questionnaire-based Study on Bias, Reliability, and Privacy Concerns

  Emran Hossain, Naeem Aziz, Jakaria Alam, Mysha Islam Kakon, Fazlul Haque

  The healthcare industry is now more and more adopting artificial intelligence (AI) in support of improving diagnosis, managing virtual consults, and carrying out predictive analysis. Even with the increasing use of these systems, their value is subject to public trust. This research examines…

  View Article → 12-22
• Articles

  Rainfall Prediction Using Machine Learning: LSTM

  Muhtasim Ahmed Tanvir, Nazratun Naiema

  The research problem being proposed is to determine how the Long Short-Term Memory (LSTM) networks forecast daily rain in the Sylhet district, Bangladesh, between June 2014 and June 2023. LMST is a form of recurrent neural network (RNN), which was utilized because it is capable of modelling the…

  View Article → 23-33
• Articles

  AI Solutions for Enhancing the Pilgrim Journey: Predictive Models for Crowd Flow Management and Real-Time Guidance

  Abdelrahman Sheta

  Pilgrimage to Makkah and Madinah is considered to be one of the largest repeat events in the whole world, with serious concerns about safety, movement, and management of people. The traditional approaches to these complexities have been altered with the introduction of Artificial Intelligence…

  View Article → 34-46
• Articles

  Engineering of AI-Powered Cyber Defense Tools to Protect Immigration Databases, Biometric Identity Systems, and Border-Control Infrastructure from Nation-State Attacks

  Khandoker Nasrin Ismet Ara, Tarannum Mithila, Md Mahababul Alam Rony, Mrinmoy Sarkar

  The growing use of digital systems to check immigration, biometric identity checks and border control, has reduced these infrastructures to the main targets of cyber-attacks, especially by nation-state actors. The conventional cybersecurity tools are not always sufficient to handle the…

  View Article → 47-58
• Articles

  Development of Human Resource Management System: A Case Study of the Department of Establishment, Akwa Ibom State Civil Service, Nigeria

  Juliana Fabian Michael

  The study aimed to examine the development of the human resource management system in Nigeria. The project is all about developing a means that automates the manual process of personnel management in the civil service. Data collection involved both primary and secondary sources. The primary source…

  View Article → 58-73
• Articles

  Sentiment Analysis of Social Media Posts using BERT: A Case Study on Consumer Products

  Md Mainul Islam

  Sentiment Analysis is important to analyze consumer feedback especially in the social media where large amounts of data are being created every day. The paper explores how BERT (Bidirectional Encoder Representations from Transformers) a state of the art deep learning model may be used to analyze…

  View Article → 74-86
• Articles

  Privacy-Preserving AI Models Using Homomorphic Encryption in Federated Learning Environments

  Nirupam Khan, Mennon Karim, Rashid Alam, Raisul Khan

  The increasing reliance on distributed artificial intelligence (AI) systems has raised significant concerns regarding data privacy and security, particularly in sensitive domains such as healthcare and finance. Federated learning (FL) has emerged as a promising paradigm for decentralized model…

  View Article → 87-96
• Articles

  Blockchain and Microsoft Azure: A Secure Framework for Decentralized Cloud Data Management

  Shekar Rao Lakavath

  Centralized cloud architectures, while operationally efficient, concentrate control of enterprise data in a single administrative domain, creating a single point of failure and a persistent trust dependency between data owners and the cloud provider. Blockchain technology offers a complementary…

  View Article → 97-106