iosr-jmca   Volume-13 ~ Issue-3 ~ May-June 2026

ABSTRACT: Intrusion detection systems are used to find the best possible ways to protect IoT networks and the need for defense methods that detect attackers. Intrusion detection systems help the network to resist external attacks.However, it is difficult to use traditional IDS techniques in IoT due to its specific characteristics such as resource- intensive devices, limited specific protocol stacks, and standards. In fact, the new features and mechanisms of IoTcannot be provided by conventional security protocols used in the Internet. In the study deep learning algorithm, classification is done...

Keywords: IOT, Feature Selection, Recurrent Neural Networks, GRU

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Performance Of Construction Projects In Nigeria. Journal Of Financial Management Of Property And Construction, 14(2), 171-187.
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ABSTRACT: The efficacy of urban parcel delivery system requires reliable, secure and convenient way of storage solutions. This research examines the usability, security and user acceptanceof an Internet of Things (IoT) enabled smart locker system deployed for the urban environment. The system integrates electronic locks, embedded sensors and mobile apps that ensures controlled access and real time monitoring. The study deployed prototype and stakeholder surveys and measures the improvement in delivery efficiency, parcel security and user satisfaction. The findings implies that IoT based lockers enhance locker utilization, lessen the risk of theft, and as well welcomed by end-users when designed with intuitive interfaces. This study highlights the possibility of scalable smart locker systems to improve urban logistics while handling the end-user adoption challenges.

Keywords: IoT, Smart Locker, Urban Logistics, Security, User Acceptance, Blynk IoT

[1]. Q. Zhang And E. Demir, “Parcel Locker Solutions For Last Mile Delivery: A Systematic Literature Review And Future Research Directions,” Frontiers In Future Transportation, Vol. 6, 2025.
[2]. W. U. Khan, “Iot-Based Smart Lockers: A Validation For The Saudi Arabian Market,” Journal Of Business And Management Studies (Jbms), Vol. 7, No. 1, 2025.
[3]. T. Gundu, “Smart Locker System Acceptance For Rural Last-Mile Delivery,” In Proc. Ict4d Conf., 2020.
[4]. A. F. S. Luís, G. M. C. Martins, J. M. L. Caldeira, And V. N. G. J. Soares, “Prototype Implementation Of A Smart Locker,” Int. J. Of Eng. And Adv. Tech., Vol. 12, No. 2, 2022.
[5]. Y. M. Tang, K. Y. Chau, D. Xu, And X. Liu, “Consumer Perceptions To Support Iot-Based Smart Parcel Locker Logistics In China,” J. Of Retailing And Consumer Services, Vol. 62, 2021.

ABSTRACT: User Experience (UX) is a critical component of organizational performance in the quickly changing digital world, as businesses depend more and more on digital platforms and applications to communicate with stakeholders and consumers. The importance of UX audit in improving digital usability, customer satisfaction, and business success is examined in the current study, The study's objectives are to comprehend the idea of UX audit, examine.....

Keywords: UX Audit, User Experience, Digital User Experience, Organizational Growth, Customer Satisfaction, Usability, User-Centered Design, Digital Transformation

[1]. Aljedaibi, W., & Munef, A. M. (2022). IMPACT OF USER EXPERIENCE (UX) FOR THE EVALUATION AND IMPROVEMENT OF THE ORGANIZATION WORKFLOW. International Journal for Quality Research, 16(4).
[2]. Essandoh, S., Aifuwa, S. E., Babalola, A. S., Adenuga, M. A., Akonobi, A. B., Benson, C. E., & Ogbuefi, E. (2025). A conceptual framework for digital audits, UX analytics, and customer experience enhancement in financial services. International Journal of Multidisciplinary Research and Growth Evaluation, 6(5), 635-643.
[3]. Ferdian, B. B. (2024). The significance of brand positioning to UX design business growth. Jurnal Bisnis dan Pemasaran Digital, 3(2), 125-135.
[4]. Goeva, A. (2019). The role of website analytics in identifying user experience (UX) improvements.
[5]. Khiter, N., & Essiret, Y. (2024). The Impact of User Experience on The Company’s Reputation (Doctoral dissertation, Higher School of Management and Digital Economy).

ABSTRACT: Lung cancer remains a leading cause of cancer-related mortality worldwide, and accurate predictive models from structured clinical data are essential for early diagnosis and treatment planning. We propose OptNet, a novel framework that integrates an attention-based TabNet classifier with automated hyperparameter optimization for high-performance lung cancer prediction. The core of our method is a sequential attention mechanism.....

Keywords: Lung Cancer, Deep Learning, TabNet, Optuna, Hyperparameter Optimization, Medical Prediction, Clinical Decision Support System.

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