Volume 3, Issue 7, July 2026

Journal of Artificial Intelligence and Emerging Technologies · ISSN (online): 2581-3048

Open Access Peer Reviewed

Published Articles

Real-Time Vital Parameter Analysis Using Deep Convolutional Neural Networks for Remote Healthcare

Mercy Chiamaka Umeh Precious Chinelo Okoro

Volume 3, Issue 7, Pages 1-16, July 2026

Continuous monitoring of vital physiological parameters plays a crucial role in the early detection of medical abnormalities, remote patient care, and timely clinical intervention. Conventional health monitoring systems primarily rely on threshold-based analysis and manual interpretation, which often lack the capability to identify complex physiological patterns and may generate delayed or in... Read More

Article DOI:  doi.org/10.47001/JAIET/2026.307001

Lime-Stabilized Marine Soil: Evaluation of Strength and Engineering Properties for Coastal Construction

Mostafa Ibrahim Abdelaziz

Volume 3, Issue 7, Pages 17-23, July 2026

Marine soils are widely encountered in coastal regions and are generally characterized by high compressibility, low shear strength, excessive moisture content, high plasticity, and poor load-bearing capacity, making them unsuitable for supporting civil engineering structures without prior treatment. These unfavorable geotechnical characteristics often lead to excessive settlement, instability... Read More

Article DOI:  doi.org/10.47001/JAIET/2026.307002

An Efficient Model for Opinion Analysis in Dynamic Data Streams

C. Ubani E.O. Bennett V.I.E. Anireh D. Matthias

Volume 3, Issue 7, Pages 24-32, July 2026

This study proposes an adaptive opinion analysis framework for real-time sentiment classification in time-evolving textual data streams. Existing approaches to opinion analysis in dynamic data streams face notable limitations, particularly in managing concept drift, handling imbalanced sentiment distributions, and adapting to evolving feature spaces over time thereby falling short of addressi... Read More

Article DOI:  doi.org/10.47001/JAIET/2026.307003

An Artificial Intelligence Model for Real-Time Detection of Online Examination Fraud

Evoh, O.P. Anireh, V.I.E. Bennett, E.O. Taylor, O.E.

Volume 3, Issue 7, Pages 33-44, July 2026

The rapid adoption of online examination systems has transformed academic assessment by enhancing accessibility and flexibility; however, it has simultaneously introduced significant challenges related to examination integrity, fraud detection, and data security. Traditional online proctoring systems are largely centralized, rule-based, and heavily dependent on human invigilators, making them... Read More

Article DOI:  doi.org/10.47001/JAIET/2026.307004

Model for Dynamic Input Validation for Graph Query Language (GraphQL)

Nwile, Beauty Nuka Daniel Matthias Vincent I. E. Anireh Onate E. Taylor

Volume 3, Issue 7, Pages 45-60, July 2026

This study presents the design and evaluation of an improved input validation architecture for Graph Query Language (GraphQL), addressing key issues in performance, security, and scalability within GraphQL environments. With the increasing adoption of GraphQL in API-driven systems, effective input validation is critical to mitigate security vulnerabilities, optimize query efficiency, and enha... Read More

Article DOI:  doi.org/10.47001/JAIET/2026.307005

Efficient Algorithm for Multi-Objective Dynamic Resource Allocation in Cloud Computing

Onwuegbuchulem Gift Bennett E.O. Matthias D. Anireh V.I.E.

Volume 3, Issue 7, Pages 61-65, July 2026

Cloud computing environments depend heavily on efficient Dynamic Resource Allocation (DRA) mechanisms to ensure optimal utilization of computational resources while maintaining low operational cost, reduced energy consumption, and acceptable Quality of Service (QoS) under continuously fluctuating workloads. However, many existing resource allocation techniques in cloud systems are limited by ... Read More

Article DOI:  doi.org/10.47001/IRJIET/2026.107006