An Efficient Algorithm for Imbalanced Data Streams Management in Opinion Analysis C. Ubani E.O. Bennett V.I.E. Anireh D. Matthias Volume 3, Issue 8, Pages 1-8, August 2026 In many real-world streaming applications, the unequal distribution of class instances presents significant challenges to conventional machine learning algorithms, leading to biased predictions and poor detection of minority-class events. This study proposes an Efficient Algorithm for Imbalanced Data Stream Management that addresses class imbalance while maintaining high processing speed and ... Read More Article DOI: doi.org/10.47001/JAIET/2026.308001
A Model for Improved Reliability in Broadband Connectivity Using Intelligent Path Selection Ezeh C. C. Anireh V. I. E. Matthias D. Volume 3, Issue 8, Pages 9-18, August 2026 Broadband connectivity remains constrained by high deployment cost, sparse population distribution, long inter-node distances, difficult terrain, and limited adaptability in existing path-selection mechanisms. Existing integrated access and backhaul architectures provide useful coverage extension, but they do not adequately address cost-effective hybrid infrastructure planning or adaptive ro... Read More Article DOI: doi.org/10.47001/JAIET/2026.308002
Expressible, Advisory, or Unenforceable: A Conformance Analysis of Delegated Financial Authority in Deployed Agent-Payment Protocols Ian Staley Volume 3, Issue 8, Pages 19-29, August 2026 Payment networks and model providers deployed agent-authorization infrastructure at speed during 2025 and 2026: signed mandates, agent-bound tokens, and machine-payable settlement rails, each promising that an autonomous agent transacts only within authority its principal granted. This paper asks a prior question to whether agents obey such authority: whether the deployed protocols can expres... Read More Article DOI: doi.org/10.47001/JAIET/2026.308003
When Does Authorization Expire? Capability-Delta Evaluation for Self-Improving AI Agents Ian Staley Volume 3, Issue 8, Pages 30-40, August 2026 Self-improving agents modify themselves and retain modifications that improve measured task performance. Where a deployment lacks a separate authorization-transfer check, the modified agent inherits the production authorization issued to the version it replaces. These are two decisions, not one: whether to keep a modification and whether that modification may inherit its predecessor's authori... Read More Article DOI: doi.org/10.47001/JAIET/2026.308004
Improved Privacy-Preserving Clustering Model for Distributed Data O. M. Omowaye V. I. E. Anireh N. D. Nwiabu Volume 3, Issue 8, Pages 41-52, August 2026 Privacy-preserving distributed clustering lets organisations analyse data held in separate locations without centralising raw records. Homomorphic encryption can protect centroid exchange, but distributed k-means becomes slow and communication-intensive when every centroid feature is encrypted and transmitted separately. This article presents a CKKS-based distributed k-means method that repre... Read More Article DOI: doi.org/10.47001/JAIET/2026.308005
Multi-Fault Diagnosis in UAV Electrical Power Systems Using a Dual-Stage CNN Mohammed H. Dosh Volume 3, Issue 8, Pages 53-67, August 2026 Fault diagnosis is an important condition for reliable and safe UAV electrical power systems in multiple fault condition, which can be achieved with accurate and timely diagnosis. To overcome this challenge, the authors in this study suggest a dual-stage convolutional neural network (CNN) approach to multi-fault diagnosis in UAV electrical power systems. The proposed architecture combines two... Read More Article DOI: doi.org/10.47001/JAIET/2026.308006
Intelligent Real-Time Fraud Detection in Financial Institutions Nwadike, U. S. Emmah, V.T. Matthias, D. Volume 3, Issue 8, Pages 68-76, August 2026 Financial institutions process high transaction volumes through digital payment channels, but conventional rule-based fraud detection systems often fail to adapt to changing fraud patterns and may produce excessive false alerts. This study developed and evaluated an intelligent real-time stacked ensemble prototype for credit card fraud detection in financial institutions. The system combined ... Read More Article DOI: doi.org/10.47001/JAIET/2026.308007
Digital Trust in Financial Reporting: A Review of Deepfakes, Synthetic Evidence, and AI Generated Corporate Communications Boluwatife Gabriel Jesutoye Sodeeq Ipadeola Olalekan David Chinonso Anih Ahmed Oladapo Olaneye Oyewole Abdulateef Ojora Volume 3, Issue 8, Pages 77-93, August 2026 Digital trust has become a central concern in financial reporting as artificial intelligence, deepfakes, synthetic evidence, and AI generated corporate communications increasingly shape how information is prepared, verified, disclosed, and interpreted. This review examines the evolving relationship between reporting integrity and digital authenticity, with particular attention to accounting, ... Read More Article DOI: doi.org/10.47001/JAIET/2026.308008
Enhanced Inception Residual CNN for Lung Nodule Detection Using LIDC Dataset G. Paul Suthan Dr. Aruchamy Rajini Volume 3, Issue 8, Pages 94-99, August 2026 Over Several Decades the early identification of lung nodules in computed tomography images is avitalstage in the diagnosis and assessment of lung cancer. The variation in nodule size, shape, texture, and intensity makes automated detection a challenging image-analysis task. In our work an Enhanced Inception Residual Convolutional Neural Network for detecting pulmonary nodules from the Lung ... Read More Article DOI: doi.org/10.47001/JAIET/2026.308009
