Skip to content

All published articles 1996

Design and Engineering Assessment of a Laser Cladding Device for the Inner Wall of a 90° Elbow Pipe

Md Rakibul Islam, Fahad AL Arman & S M Kalimullah · Journal of Engineering Research and Reports · 2026

Elbow pipes, particularly 90° elbows are prone to erosion, corrosion, and wear due to flow disturbances, making surface protection essential in fluid transport systems. This study designs a dedicated three-axis rotary positioning laser cladding equipment for inner-surface remanuf...

Open access Research Article 10.9734/jerr/2026/v28i61934

Enhancing Sequential Learning with a Hybrid EWC- Integrated Spiking Neural Network

B. Sai Jyothi, M. Sireesha, K. Sai Namrataa Chowdary, K. Vandana & P. Sai Pranitha · Journal of Engineering Research and Reports · 2026

When neural networks are trained on tasks one after another, they often forget previously learned information, a problem known as catastrophic forgetting. While Elastic Weight Consolidation (EWC) has been effective in reducing this issue in conventional neural networks, its appli...

Open access Research Article 10.9734/jerr/2026/v28i61935

Reinforcement Learning–driven Retention Strategy Optimisation for Telecom Customer Churn

David U. Ater, Kufre M. Udofia & Akaninyene B. Obot · Journal of Engineering Research and Reports · 2026

Customer churn mitigation in telecommunications extends beyond identifying at-risk subscribers to determining optimal retention actions under cost and operational constraints. This study formulated churn mitigation as a sequential decision optimisation problem and proposed a rein...

Open access Research Article 10.9734/jerr/2026/v28i61936

Influence of Rice Husk Incorporation on the Strength of Structural Concrete: An Experimental Approach in San Martin, Peru 2026

Kenji Quispe Medina, José Francisco Cabrera Vilca & William Moisés Prado Labam · Journal of Engineering Research and Reports · 2026

Rice husk (RH) is an abundant agro-industrial residue that can be incorporated into concrete mixtures as a sustainable alternative material to improve their mechanical performance. The objective of this research was to evaluate the influence of RH incorporation on the compressive...

Open access Research Article 10.9734/jerr/2026/v28i61930

AI-Driven Anomaly Detection Frameworks in Critical Infrastructure Networks for Proactive Threat Mitigation

Oma Nlerum, Fisayo Fakinlede & Bashiru Ibrahim · Journal of Engineering Research and Reports · 2026

Background: Critical infrastructure networks are increasingly interconnected cyber-physical systems, making them more vulnerable to sophisticated cyberattacks that traditional detection methods struggle to address. AI-driven approaches using machine learning and deep learning ena...

Open access Research Article 10.9734/jerr/2026/v28i61931

Adaptive Behavioral Zero Trust Frameworks for Identifying Rogue and Compromised Autonomous AI Agents

Suleiman S. Abba, Oluwadayo Mafolasere Olaniyi, Utin Nyimeobong Archibong, Oluwaseun Oladeji Olaniyi & Adesoji Odufuwa Odukomaiya · Journal of Engineering Research and Reports · 2026

This article presents the Adaptive Behavioral Zero Trust Framework (AB-ZTF), a novel governance architecture integrating continuous behavioral profiling, Bayesian dynamic trust scoring, and adaptive policy enforcement for real-time identification of rogue and compromised autonomo...

Open access Research Article 10.9734/jerr/2026/v28i61927

Comparative Performance Analysis of LCL, LLCL, L(LCL)₂ and L(LCL)₃ Filter Topologies for High-power Grid-connected Solar PV Inverters

Samson Dauda Yusuf, Unogwu, Daniel Ogbu & Abdulmumini Zubairu Loko · Journal of Engineering Research and Reports · 2026

Advanced passive filter topologies are increasingly required in modern high-power grid-connected solar PV systems to ensure compliance with stringent harmonic and power quality standards. Conventional LCL-based filters often face limitations in multi-frequency harmonic attenuatio...

Open access Research Article 10.9734/jerr/2026/v28i61928

Designing Interesting Opponents through Online Learning in Predator–Prey Environments

Gajjala Lilly Rani, Ankatwar Gajanan, Alurwad Tripat Venkatreddy, K. Krunal Yadav & Narote Preetham · Journal of Engineering Research and Reports · 2026

Predator–prey environments are widely used benchmarks for multi-agent reinforcement learning (MARL) because they capture simultaneous cooperation among predators and competition against prey, yet many deployed predator opponents rely on static or pre-trained policies that become...

Open access Research Article 10.9734/jerr/2026/v28i61929

Comparative Analysis of Anti-skid Performance of Smooth and Studded Gripper Shoes for Hard Rock TBMs in Steeply Inclined Shafts

Mingzhao Li & Chenhao Wang · Journal of Engineering Research and Reports · 2026

Pumped-storage hydropower is a key clean energy source for grid stability and emergency backup. Tunnel Boring Machines (TBMs) enable safe, automated, and efficient hard-rock excavation with minimal environmental disturbance. To mitigate the critical risk of tunnel boring machine...

Open access Research Article 10.9734/jerr/2026/v28i61926

Mixed Reality Systems for Real-time Construction Project Monitoring to Improve Schedule Performance

Ukasha Tiibu Mohammed & Uthman Abba Ndayako · Journal of Engineering Research and Reports · 2026

Construction projects continue to face coordination inefficiencies, schedule pressure, and limited visibility of actual site conditions despite increasing investment in digital tools. This scoping review examines the use of mixed reality systems for inspection, real-time monitori...

Open access Research Article 10.9734/jerr/2026/v28i61923

Power Loss Mitigation Using Distributed Generation in Asaba Distribution Network

Raymond Onyeka Nwajuonye, Chibuzor George Okonkwo & Innocent Ifeanyi Okonkwo · Journal of Engineering Research and Reports · 2026

The increasing demand for electricity, coupled with rising economic and environmental concerns, has made renewable energy, particularly solar energy, a major area of interest. This research work evaluates the impact of distributed generation (DG) and presents a methodology for th...

Open access Research Article 10.9734/jerr/2026/v28i61921

A Process-controlled Synthesis of Corrosion-resistant Fe₃O₄/Au Nanoparticles as a Precursor for Stable Magnetic Fluids in Harsh Environments

Yun Long Wang · Journal of Engineering Research and Reports · 2026

Background: Conventional direct reduction synthesis approaches encounter several significant challenges during the fabrication process. The acidic nature of chloroauric acid can induce etching of the Fe₃O₄ core, thereby compromising the structural integrity of the nanoparticles....

Open access Research Article 10.9734/jerr/2026/v28i61922