Enhanced Water Network Leak Detection Methods by Alablam, Suhail Salem Ibrahim

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Bridge Structural Health Monitoring Using Mobile Sensor Networks by Amin, Fouad

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Unbalanced Hybrid AOA/RSSI Localization for Simplified Wireless Sensor Networks by Anh Tuyen Le (7213172)

“…However, since AOA estimation requires anchors to be equipped with large antenna arrays and complicated signal processing, this conventional combination makes the wireless sensor network (WSN) complicated. This paper proposes an unbalanced integration of the two measurements, called 1AOA/nRSSI, to simplify the WSN. …”

Intrusion Detection for Wireless Sensor Network Using Particle Swarm Optimization Based Explainable Ensemble Machine Learning Approach by Shaikh Afnan Birahim (22303750)

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Internet of things based multi-sensor patient fall detection system by Khan, Sarah

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A depth-controlled and energy-efficient routing protocol for underwater wireless sensor networks by Umesh Kumar Lilhore (17727684)

“…In the simulation, the proposed model achieves 86.7% packet delivery ratio, 12.6% energy consumption, and 10.5% packet drop ratio over existing depth-based routing and energy-efficient depth-based routing methods for underwater wireless sensor network.</p><h2>Other Information</h2><p dir="ltr">Published in: International Journal of Distributed Sensor Networks<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1177/15501329221117118" target="_blank">https://dx.doi.org/10.1177/15501329221117118</a></p>…”

A Novel Deep Learning-Based Cooperative Communication Channel Model for Wireless Underground Sensor Networks by Kanthavel Radhakrishnan (17542101)

“…<p dir="ltr">Wireless Underground Sensor Networks (WUSNs) have been showing prospective supervising application domains in the underground region of the earth through sensing, computation, and communication. …”

Sensor-based Continuous Arabic Sign Language Recognition by Tubaiz, Noor Ali

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Cluster formation in wireless content distribution networks with security considerations. (c2014) by Jurdi, Ghenwa Al

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Nanomedicine: Treatment of Chronic Disease Using Gold Nano Thermo Robot (GNTR) Empowered With Nanotechnology Approaches by Zahid Hasan (21633029)

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Novel Near-Field Microwave Testing Method for Outdoor Insulators by Saker, Yasser Adel

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Intelligent Multi-Sensor Process Condition Monitoring by Hammad, Firas

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Intelligent Trust-Based Utility and Reusability Model: Enhanced Security Using Unmanned Aerial Vehicles on Sensor Nodes by Santosh Kumar Sahoo (19569556)

“…<p dir="ltr">Due to its importance in prolonging the lifetime of battery-restricted wireless sensor networks, network longevity has garnered considerable research attention, with the rechargeable wireless sensor network emerging as a viable solution. …”

Metallic Micro‐Nano Network‐Based Soft Transparent Electrodes: Materials, Processes, and Applications by Liyang Chen (6279566)

“…This review summarizes state‐of‐the‐art research developments in MMNN‐based soft TEs in terms of performance specifications, fabrication methods, and application areas. The review describes the implementation of MMNN‐based soft TEs in optoelectronics, bioelectronics, tactile sensors, energy storage devices, and other applications. …”

Experimental Validation of a Mitigation Method of Ferranti Effect in Transmission Line by Tareq Foqha (17947778)

Hydrogen Sulfide (H₂S) Sensor: A Concept of Physical Versus Virtual Sensing by Ahmed Alsarraj (16876014)

“…The merits of the proposed system are as follows: 1) a virtual sensing concept is combined with a physical sensing platform to enhance the proposed model’s estimation power in quantifying H₂S in air samples; 2) a new feature extraction method based on fractional derivatives is proposed to further enhance the model’s learning capabilities; 3) an array of four gas sensors is fabricated in the in-house foundry to record and analyze the signature of H₂S at various concentration levels; 4) a shallow neural network (NN) model is trained and tested on the recorded data, and based on the NN’s input–output relation, a mathematical model is presented for the quantification of H₂S; and 5) the proposed model is a highly sensitive and reliable H₂S gas sensing scheme with the ability to detect the gas instantaneously. …”

A Bayesian Deep Learning Approach With Convolutional Feature Engineering to Discriminate Cyber-Physical Intrusions in Smart Grid Systems by Devinder Kaur (264278)

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Day-Ahead Load Demand Forecasting in Urban Community Cluster Microgrids Using Machine Learning Methods by Sivakavi Naga Venkata Bramareswara Rao (15944992)

A data-driven approach for fault diagnosis in multi-zone HVAC systems: Deep neural bilinear Koopman parity by Fatemeh Negar Irani (16410087)

“…Finally, a comparison is conducted to showcase the advantages of the proposed method over earlier works based on PCA and neural networks.…”

Real-Time Path-Planning using Depth/INS Sensor Fusion for Localization by Alkhawja, Fares Amin E

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