The densification of Long-Term Evolution (LTE) heterogeneous networks (HetNets) enhances spectral efficiency but exacerbates intercell interference (ICI), especially at cell edges. This study proposes an Enhanced Feedforward Neural Network (eFFNN) for adaptive interference mitigation using 12,847 drive-test samples from Port Harcourt. The model integrates advanced techniques such as batch normalization, dropout, and dynamic loss weighting, and is deployed within a MATLAB/Simulink-based LTE HetNet simulation. Results show significant performance gains, including 68% reduction in packet loss, 36.8% improvement in throughput (85.48 Mbps), and 26–32% latency reduction. The model achieves high predictive accuracy with an R² of 0.9969, demonstrating strong effectiveness.
Abstract: The increasing frequency and sophistication of cyberattacks targeting critical infrastructure have accelerated the adoption of Artificial Intelligence (AI)-based Intrusion Detection Systems (IDSs) for real-time cyber threat detection. Although machine learning and deep…
Preservation copy of an article published in International Journal of Physical and Chemical Sciences. Read the full article: https://ioro.org/ijpcs/article/945378576347/945378576347. Cosmic ray modulation is one of the most fundamental processes in heliophysics, describing the te…
This study investigated real-time assessment and modeling of perceived listening effort (LE). The model consists of a binaural front-end, followed by a monaural back-end. As front-end, a novel blind real-time implementation of the binaural speech intelligibility model (BSIM) was…
Interfacial tension (IFT) between water and crude oil is a crucial variable that enhanced oil recovery (EOR) techniques can adjust to increase oil extraction from depleted fields. Most of the developed intelligent models in the literature are based on synthetic oil samples rather…
This study investigates the global scholarly production on the use of data in social services using a bibliometric approach based on the Web of Science database. In the context of rapid digital transformation and the increasing integration of data-driven approaches in social work…
Abstract — Millions of individuals all over the world suffer from depression, a serious and common mental illness. In Northwest Nigeria, depression is still not well recognized because of stigma, the use of multiple languages, including English, Hausa, and Fulfulde, and a l…