Engineering Proceedings, Volume 163, 2026

Accurate measurements of solar radiation are essential for photovoltaic (PV) and other solar energy applications. However, the high cost of standard thermopile pyranometers limits their deployment in distributed monitoring networks. In this study, a...

This research paper proposes an architecture and a simulation-based performance evaluation of a 5G-based smart city Internet of Things (IoT) network with multi-access edge computing (MEC). This smart IoT framework was designed and evaluated using the...

Forecasting crop yield at an early stage of the growing season is crucial to reinforcing climate-smart agriculture and enhancing food security in nations with high vulnerability, including Bangladesh. This study creates an interpretable, ML-based fra...

Bubbles resulting from electrolysis under Pulsed Electric Fields (PEFs) constitute an important subject of study, since they divert the current and amplify the local electric field via the edge effect. This deviation reduces the efficacy of treatment...

Carbon fiber-reinforced polymers (CFRPs) are increasingly taking the place of metals in lightweight structures and as a result require efficient structural health monitoring (SHM). To achieve this, four PZT sensors (12–27 mm) were bonded to bot...

This study investigates the isolated-port response of a four-port parallel coupled-line microstrip structure as a nondestructive microwave indicator for storage-related changes in Nakhon Phanom Lychee (NP.1). Unlike conventional one-port or two-port...

This study proposes a method to indicate the optimal moment to interrupt grinding wheel dressing using the counts statistics extracted from acoustic emission signals. Experiments were conducted on a surface grinding machine equipped with an aluminum...

A field record from the SCG/Wheather001 IoT station in Thailand was used to test short-gap PM2.5 prediction. The file contained 191,489 observations collected from 10 August 2024 to 25 May 2026. After removing non-physical sensor readings and keeping...

Construction quality monitoring requires the joint interpretation of sensor streams, site images, inspection records and asset context. This paper develops an event-centric reference architecture integrating normalized observations, image and text em...

Lossy mode resonance (LMR) sensors are attractive for label-free refractive index (RI) sensing because they can employ metal-oxide coatings and support both TM and TE polarizations. In this work, a low-cost planar LMR platform based on a soda–l...

Efficient extraction of System Dynamics models in industrial IoT requires integrating real-time operational context with structural similarity. This paper presents a sensor-augmented retrieval framework merging IoT anomalies (e.g., temperature, press...

Accurate prediction of crop yields is fundamental to achieving food security, enhancing farm management, and making data-driven decisions due to changing climates. Conventional statistical and machine learning techniques typically do not adequately c...

This retrospective benchmark asks whether synthetic-only pretraining improves a causal temporal convolutional network (TCN) after 48 or 72 h of target-site heat-flow-meter (HFM) calibration. Six eligible public component records were evaluated over t...

This study evaluates the reliability of Logistic Regression, Random Forest, and Multilayer Perceptron classifiers across two drift-affected gas sensor datasets under missing, noisy, dropped, stuck-at, and combined sensor-channel degradation. Temporal...

Individuals with visual impairments face major challenges in navigation, obstacle recognition, and social interaction. This paper presents the design, development, and testing of a pair of glass-mounted smart vision glasses (SVG) intended to assist v...

This study evaluates a machine learning-based virtual sensing approach for rapid water-quality assessment in the Cauca River, Colombia. A historical dataset covering 1990–2025, 19 monitoring stations, and more than 50 water-quality parameters w...

Embedded EEG processing requires communication and signal-processing stages to be evaluated under controlled and repeatable conditions. This work presents a hardware-in-the-loop (HIL) architecture for validating an ESP32-based embedded system compati...

Aeroponic cultivation has made it possible to bring food production closer to urban areas, especially in areas with limited space. One advantage is that it allows the reuse of water and nutrients, thereby reducing costs. This paper presents a closed-...

Reliable spectral monitoring is increasingly important in controlled-environment agriculture, where the spectral composition of horticultural LED lighting directly influences crop development and resource-use efficiency. However, spectroradiometers r...

Maintaining optimum soil pH for specific crops is essential for improved nutrient intake and maximum yield. Conventional soil testing methods use composite samples tested in laboratories, which fail to capture the spatial variability within the field...

The condition of abrasive grinding wheels after the dressing process can be visualized through acoustic maps, which enable the identification of patterns associated with the wheel topography and surface characteristics. Initially, acoustic maps were...

Metal–organic frameworks (MOFs) are new crystalline hybrid materials that have aroused great interest because of their growing applications in drug delivery, gas storage, and catalysis. The key limitation of pure MOFs for use in gas sensors is...

The widespread adoption of electric vehicles has led to an increasing number of lithium-ion (Li-ion) and lithium iron phosphate (LiFePO4) batteries reaching the end of their automotive service life while still retaining between 70% and 80% of their n...

Skin cancer continues to be one of the most frequently diagnosed malignancies worldwide, with early diagnosis being vital for improving patient survival and allowing for timely treatment. In this work, we proposed the adaptive fusion-based deep ensem...

Lipopolysaccharides (LPS) are indicators of inflammation or food contamination by Gram-negative bacteria. We performed a comparative analysis of sensitivity and selectivity of detection of LPS from Salmonella typhimurium (S. typhi) and Escherichia co...

Fixed-wing UAVs operating in GNSS-denied conditions require stable state estimates over long distances, yet standalone visual–inertial odometry (VIO) still accumulates drift during sustained forward flight because loop closures are rare and vie...

This work presents an AD844-based multi-stage CCII waveform generator for configurable sensor excitation and modulation. The architecture combines a sinusoidal oscillator, comparator, two current-mode integrators, and a threshold-controlled PWM stage...

In this study, a low-cost smart fog irrigation system is proposed to improve microclimate management during the propagation of unrooted Ficus carica L. cuttings under greenhouse conditions. The proposed system is based on Internet of Things (IoT) tec...

This study used amperometric electrochemical sensing on a commercially unmodified non-enzymatic screen-printed carbon electrode (0.1 V, 50 mV s⁻¹) to monitor real-time α-amylase hydrolysis of native, acetylated-modified, and thermally tre...

Myelin basic protein (MBP) is an important biomarker of demyelination and is elevated in multiple sclerosis and other neuroinflammatory disorders. We developed an electrochemical and quartz crystal microbalance with dissipation monitoring (QCM-D) sen...

A tunable terahertz metamaterial absorber with transmission characteristics is proposed and numerically studied. The proposed four-layer structure of the absorber comprises a patterned gold resonator, a patterned graphene layer, a silicon dioxide (Si...

Industry 4.0 has allowed an increase in process quality through Tool Condition Monitoring (TCM) techniques, as they enable the identification of anomalous behaviors caused by tool wear, for instance, by analyzing extracted features from real-time sig...

Early detection of sheep pregnancy and litter size (PLS) is crucial for the efficient management of the flock. However, standard ultrasonography for these purposes is not cost-effective for flock testing and requires trained and experienced operators...

Flexible temperature sensors that are lightweight, conformational and low in power are of interest for several applications. Printed temperature sensors of the resistive type, which are made from low-cost materials and are integrated into sensing and...

Acoustic Emission (AE) monitoring is suitable for condition monitoring and predictive maintenance because it captures high-frequency transient phenomena associated with structural and manufacturing processes. However, the high data rates required for...

This paper details the development of a varifocal Shack–Hartmann wavefront sensor (SHWFS) featuring an innovative mechanism for dynamic microlens array adaptation. The core of this advancement is a closed-loop iterative algorithm designed to op...

Gas bubble evolution at electrified electrode–electrolyte interfaces and concurrent Faradaic processes change the electroactive area and the local current-density distribution and thereby the measured electrical impedance. This study investigat...

This work describes the architecture of a self-mixing interferometer measured in frequency modulation, with particular emphasis on how to realize the setup and the electronics required for the various functions. The architecture can be useful for imp...

Routine calibration of neonatal incubators is often hindered in resource-constrained healthcare systems by the cost of commercial analyzers. This study presents the metrological characterization of an affordable, microcontroller-based device using a...

This study proposes a new hybrid sensorless control estimation structure that provides a fault-tolerant control (FTC) when a position sensor fault occurs in a permanent magnet synchronous motor (PMSM). The proposed hybrid estimator combines two techn...

Indoor air pollution has been an important health problem in the modern world. Prolonged exposure to indoor air pollutants causes adverse effects on human health. This paper presents the design and development of a low-cost Internet of Things (IoT)-b...

Small-scale hydroponic growers frequently monitor and adjust nutrient concentration, pH, and greenhouse conditions manually. This study installed an IoT-based monitoring and control system in a loose-leaf lettuce greenhouse in Talibon, Bohol. Sensors...

Time-series foundation models have shown strong zero-shot forecasting ability, but their usefulness for industrial fault diagnosis remains unclear. This paper evaluates TimesFM as a frozen forecasting model for few-shot diagnosis of semiconductor pro...

Physical Unclonable Functions (PUFs) are widely adopted in wireless sensor networks (WSNs) to implement low-cost authentication strategies to allow access to network resources only for legitimate nodes. PUFs exploit process parameter variations occur...

This paper presents the study, design, and development of a comprehensive, low-cost blood collection system. The proposed system is based on IoT technology and aims to improve the efficiency, safety, and standardization of blood donation procedures i...

Fixed environmental monitoring nodes provide continuous observations but limited spatial coverage. This paper presents EcoRover, a student-developed mobile Internet of Things (IoT) prototype for exploratory monitoring in smart-campus environments. Th...

Multimode optical fibers (MMFs) can be used as sensors due to their high sensitivity to chemical and physical perturbations, such as temperature and bending. It has been shown that, by training convolutional neural networks (CNNs) with the speckle pa...

Solar energy is rapidly being adopted across the world, and many photovoltaic (PV) systems are being installed. The increased demand for solar PVs has brought along the need for better inspection processes that can accurately detect defects like elec...

The monitoring of the quality of olive oil is necessary not only to preserve the value of the product but also to ensure the confidence of the consumer because the free acidity is one of the most important parameters used to evaluate its quality. Con...

Population aging has increased the need for affordable home-monitoring technologies that support older adults while preserving privacy. This work presents Radar-Cuidador, a low-cost, camera-free IoT prototype based on a distributed hub-and-spoke arch...