Celestine Iwendi

EEG and Motion Signals Pilot Dataset

Celestine Iwendi, Ezekiel Gabriel Nwibo, Salome Enoshi Uwah

This dataset contains a pilot multimodal physiological recording collected using a four-channel wearable EEG device (Muse S). The dataset comprises 17,155 timestamped observations recorded over approximately 67 seconds, with an effective sampling rate of approximately 256 Hz. This data was collected at …

in, gb, Nigéria (code pays fourni par la source)

EEG and Motion Signals Pilot Dataset

Celestine Iwendi, Ezekiel Gabriel Nwibo, Salome Enoshi Uwah

This dataset contains a pilot multimodal physiological recording collected using a four-channel wearable EEG device (Muse S). The dataset comprises 17,155 timestamped observations recorded over approximately 67 seconds, with an effective sampling rate of approximately 256 Hz. This data was collected at …

in, gb, Nigéria (code pays fourni par la source)

Evaluating Artificial Intelligence for Predicting and Interpreting Molecular Toxicity from Chemical Structures to Enhance Early Drug Screening

Daniel Ndifreke Samuel, Ogunlola John Olalere, Celestine Iwendi, Adedeji Edward Adesola et autres

gb (code pays fourni par la source)

K-means Clustering in Identifying Epidemiological Patterns of Measles in United States of America Between 2009-2024

Basil B Duwa, Murat Sayan, James Gambu, Huzaifa Umar et autres

Tracking measles vaccination coverage is an essential factor in preventing subsequent outbreaks and building herd immunity. Thus, recognizing trends in immunization and surveillance assist in tailoring public health efforts in different locations. The study employs K-means clustering to detect distinctive epidemiological trends …

cy, tr (code pays fourni par la source)

Assessing the Feasibility of Transfer Learning from Metro Sensor Data to Telecommunication KPI Anomaly Detection

Azees Yusuf, Anthony Ojo, Celestine Iwendi, Mohamed BenMubaraK et autres

gb (code pays fourni par la source)

Initialisation Strategies and Convergence Behaviour in Federated YOLOV8-Based Object Detection for Intelligent Transportation Systems

Chijiuka Fortune Akuma, Tighe Bren, Celestine Iwendi, Salome Enoshi Uwah et autres

Federated Learning (FL) has emerged as a promising paradigm for decentralised model training in Intelligent Transportation Systems (ITS), offering improved data privacy and reduced communication overhead.Despite growing adoption, the influence of model initialisation strategies on convergence and detection performance in federated vision-based …

us, gb (code pays fourni par la source)

Evaluating Centralised and Federated Learning YOLOv8-Based Object Detection for Intelligent Transportation Systems

Chijiuka Fortune Akuma, Celestine Iwendi, Pradeep Hewage, Anchal Garg et autres

The detection of mixed road users in intelligent transport systems (ITS) has been based on the use of centralised deep learning mechanisms.These centralised deep learning models requires that a large scale of dataset is aggregated into a central database.This central aggregation raises …

us, gb, in (code pays fourni par la source)

Client-Side Predictive Component Pre-Rendering Using Lightweight Machine Learning

Emmanuel Okang Edim, Salome Enoshi Uwah, Celestine Iwendi, Vandana Sharma et autres

web application architecture is under a severe bottleneck, the response time of reactive component rendering.With more dynamic user interfaces, user action to visual feedback latency is a major contributor to poor user experience (UX) and business conversion rates.In this study, the predictive …

gb, in (code pays fourni par la source)

Psycho-Intelligent Dialogue Agents for Enhancing Emotional Self-Regulation in Autistic Teenagers

Celestine Iwendi, Negin Aboutorabi, Adedeji Edward Adesola, Collins Lemeke et autres

Autistic adolescents often experience the inability to identify their emotions and self-regulate them, thus creating the impulse for the construction of intelligent assistive technologies. Building on this premise, this work proposes a novel Psycho- Intelligent Dialogue Agent (PIDA) system, which attempts to …

gb, in (code pays fourni par la source)

Emotionally Adaptive AI Companions for Supporting Routine Management in Autistic Adolescents

Celestine Iwendi, Salome Enoshi Uwah, Babatope Makinde, Vandana Sharma et autres

Autistic Adolescents usually experience difficulties in the management of emotions, routine transitions and social cue interpretation. Many existing tools that aim to fill in the gap are often non-personalise, static or lack real-time responsiveness in handling these challenges. This study conceptualises and …

gb, us, in (code pays fourni par la source)

The Impact of Emerging Cloud Security Threats: A Focus on Advanced Persistent Threats

Austin Orumwense, Celestine Iwendi, Adejoke Ogundare

Cloud computing has become a foundational component of modern digital infrastructure, yet its rapid expansion has increased exposure to sophisticated cyber adversaries, particularly Advanced Persistent Threats (APTs). These threat actors exploit cloud-native weaknesses through multi-stage, covert operations that often evade traditional security …

jp, gb (code pays fourni par la source)

Green resource management in 6G: AI-enabled approaches for energy-efficient wireless networks

Deepro Bhattacharyya, Ali Ahmad, Vandana Sharma, Iqra Husain et autres

in, ae, gb, us (code pays fourni par la source)