Background: The increasing prevalence for public safety threats necessitates the development of intelligent surveillance systems that are capable of real-time weapon detection. These conventional deep learning models achieve high accuracy but are mostly computationally intensive,...
Open access
Research Article10.9734/jerr/2025/v27i111688
At frequencies above 10GHz, rain drops absorb part of the energy (signal) and part are scattered in different directions, causing unavailability of signals and making the system link unreliable. This study presents analysis of rain-induced attenuation on satellite communications...
Open access
Research Article10.9734/jerr/2025/v27i111686
The importance of removing cyanide content in cassava mash cannot be overemphasized. The removal of cyanide by dehydration not only makes the cassava safe for consumption but also could improve it flavour. The design of a vacuum dehydration machine used for cassava processing is...
Open access
Research Article10.9734/jerr/2025/v27i111687
Seun Michael Oyekunle, Oluwaseun Oladeji Olaniyi, Emonena Patrick Obrik-Uloho, Olufisayo Juliana Tiwo & Rukayat Oluwabukola Olasege·Journal of Engineering Research and Reports·2025
This study investigates self-healing health records through the development of autonomous data integrity models for corruption-resistant Electronic Medical Records (EMRs). Using a convergent parallel mixed-methods design, a systematic review of 204 studies (2010–2025) identified...
Open access
Research Article10.9734/jerr/2025/v27i111685
Objective: RV reducer is one of the core components of industrial robots, but its complex structure makes the design process cumbersome. Therefore, parametric design was applied to certain design aspects of the RV reducer to shorten its design cycle. Methods: Based on the structu...
Open access
Research Article10.9734/jerr/2025/v27i111681
Groundnut residues, specifically shells and straw, are abundant agricultural by-products in Nigeria and other developing nations. These residues are often underutilised or openly burned, contributing to environmental pollution. This study investigates torrefaction as a thermochem...
Open access
Research Article10.9734/jerr/2025/v27i111682
Integrating renewables and grid-edge technologies has increased modern power systems’ complexity and data intensity, necessitating advanced Artificial Intelligence (AI) for stability management. However, centralized AI faced fundamental limitations due to data privacy, sovereignt...
Open access
Research Article10.9734/jerr/2025/v27i111683
Access to reliable and affordable electricity remains a major challenge for rural communities in Nigeria, particularly in Kwara State, where weak grid infrastructure and reliance on costly fossil fuels constrain socio-economic development. Despite abundant renewable resources suc...
Open access
Research Article10.9734/jerr/2025/v27i111684
Aim: In this work, we explored the use of drones fitted with sound emitters and guided by artificial intelligence (AI) together with quantum-inspired optimization as an alternative to chemical pest control. Study Design: The approach was tested only in simulations that modelled m...
Open access
Research Article10.9734/jerr/2025/v27i101679
Aim: To demonstrate the feasibility of lightweight deep learning models for cassava disease detection, emphasizing their suitability for deployment on agricultural robots and other edge devices where computational efficiency is critical. Study Design: Experimental benchmarking of...
Open access
Research Article10.9734/jerr/2025/v27i101680
Urban areas worldwide are grappling with the pervasive challenge of traffic congestion, which impedes economic productivity, degrades environmental quality, and diminishes the quality of life for residents. The design and management of road networks are fundamental determinants o...
Open access
Research Article10.9734/jerr/2025/v27i101678
Seun Michael Oyekunle, Oluwadayo Mafolasere Olaniyi, Adebukola Oluyinka Eweoya, Michael Olayinka Gbadebo & Rukayat Oluwabukola Olasege·Journal of Engineering Research and Reports·2025
The growing complexity and volume of health data have exposed critical limitations in traditional, static data processing systems, creating an urgent need for adaptive AI pipelines that can support scalable, secure, and governance-compliant population health analytics. This study...
Open access
Research Article10.9734/jerr/2025/v27i101677
This study addresses the persistent failure of static trust models including perimeter defenses, multi-factor authentication (MFA), and PCI-DSS compliance to detect insider threats and account takeovers (ATO) after initial authentication. Using the LANL Unified Host and Network D...
Open access
Research Article10.9734/jerr/2025/v27i101676
The Niger Delta, a prolific hydrocarbon province, relies heavily on gas lift systems to enhance oil recovery from wells with declining reservoir energy. While the benefits of gas lift are well-established, its optimization is complex and influenced by key operational and fluid pr...
Open access
Research Article10.9734/jerr/2025/v27i101675
Objectives: This study aims to develop a deep learning (DL)-based framework that enhances the detection and grading of liver Steatosis from ultrasound images. The key goal is to achieve accuracy levels comparable to experienced radiologists while maintaining interpretability and...
Open access
Research Article10.9734/jerr/2025/v27i101671