Surface albedo is a key variable influencing ground-reflected solar irradiance, which is a vital factor in boosting the energy gains of bifacial solar installations. Therefore, surface albedo is crucial towards estimating photovoltaic power generatio...
Background/Objectives: Shift work and chronotype influence timing and type of food consumed, yet their combined influence is unclear. This study determined differences between temporal patterns of eating (times of first (FEO), last (LEO), and largest...
The modeling, computational complexity, and accuracy of spatio-temporal models are the three major foci in the field of video action recognition. The traditional 2D convolution has low computational complexity, but it cannot capture the temporal rela...
Changes in operating speed and load shift vibration-signal distributions, limiting the transfer of fault diagnosis models across operating conditions. Temporal offsets between sampled windows introduce an additional source of variability. This study...
Counterfactual conditionals posit hypothetical scenarios in which antecedent events contradict reality. This study examined whether and how the processing difficulty of Chinese counterfactual conditionals (yaobushi, equivalent to if it had not been f...
In our study, we examine how the temporal window shift—the step between consecutive analysis windows—affects EEG-based cognitive fatigue detection while keeping the window length fixed. Using a reference workload dataset and a pipeline th...
Egocentric hand gesture recognition is vital for natural human–computer interaction in augmented and virtual reality (AR/VR) systems. However, most deep learning models struggle to balance accuracy and efficiency, limiting real-time use on wear...
This study evaluates whether an offline system can conservatively rerank future learning activity profiles under temporal distribution shift; it does not test whether an intervention improves actual student learning. An activity profile comprises tem...
The increasing interconnection of industrial devices, programmable logic controllers, edge platforms, and networked control systems has expanded the attack surface of Industrial Internet of Things (IIoT) environments. Machine-learning-based intrusion...
Longitudinal administrative prediction is vulnerable to temporal leakage, institutional shortcut learning, and distribution shift. We evaluate a reliability-aware multiview framework for predicting unsuccessful public tenders using 176,470 finalized...
This study evaluates GeoClock under a raw-hour-disjoint protocol designed to avoid reuse of nominal observation epochs across source training and validation. The model maps variable-cardinality GNSS observations to 80 physical statistical features an...
Bottleneck prioritization selects a small set of process transitions for investigation when historical delay patterns may change. This study examines frequency-weighted Wasserstein–Conditional Value-at-Risk scores for capped inter-event elapsed...
Respiratory syncytial virus is among the most common causes of respiratory infections. Typically, this viral infection has a seasonality during the cold months but with the SARS-CoV-2 pandemic this has been considerably modified. Here, we studied the...
In contrast to the well-investigated field of Synthetic Aperture Radar (SAR)-to-Optical translation, this study explores the lesser-investigated domain of Optical-to-SAR translation, which is a challenging field due to the ill-posed nature of this tr...
Aggressive behavior among pigs is a significant social issue that has severe repercussions on both the profitability and welfare of pig farms. Due to the complexity of aggression, recognizing it requires the consideration of both spatial and temporal...
The temporal response of bacterial community, especially that of bacteria with Fe(III) reducing ability, in flooded paddy soils to initial pH changes, is not well-documented. This work demonstrated variations in concentration of Fe species, bacterial...
Reliable deployment of predictive emission monitoring systems (PEMSs) requires evaluation under future operating conditions and explicit attention to high-emission events. This study presents a pollutant-specific, risk-constrained framework for predi...
Systematic behavioral regime shifts inevitably emerge in real-world processes in response to various determinants, thus resulting in temporally dynamic responses. These determinants can be technical, such as process handling, design, or policy elemen...
Shearography, as a novel non-destructive evaluation technique, has shown notable ability in the detection of composite materials. However, in current shearography practices, the phase shifting and loading methods applied are mainly static. For instan...
We investigate when LLM-based data augmentation can mitigate temporal collapse in web intrusion detection under extreme cross-temporal distribution shift. Under a strict hold-out protocol—training on CSIC-2010 and evaluating exclusively on the...
Shearography is a coherent optical technique that allows the identification of the first derivative of deformation in the shearing direction. Due to direct measuring strain information, shearography is suited for non-destructive testing and evaluatio...
Remote photoplethysmography (rPPG) is a non-contact technology that estimates physiological signals, such as Heart Rate (HR), by capturing subtle skin color changes caused by periodic blood volume variations using only a standard RGB camera. While co...
Existing studies on the thermal effect of building-integrated photovoltaic (BIPV) curtain walls are mostly numerical and mainly use absolute PV temperature; few have compared the relative roles of ambient temperature and solar radiation across season...
Insect communities are facing contrasting responses due to global change. However, knowledge on impacts of communities’ reorganizations is scarce. Network approaches could help to envision community changes in different environmental scenarios....
Quality monitoring in diagnostic-device manufacturing requires datasets that preserve temporal, hierarchical, and calibration-related structure while avoiding information leakage in predictive evaluation. This study presents the Diabetes-QMS Benchmar...
The increasing heterogeneity of cloud, enterprise, and Internet of Things (IoT) environments raises concerns about the long-term reliability of machine-learning-based intrusion detection systems (IDSs). This study evaluates temporal robustness and cr...
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To provide some useful information about the control of air pollution in China, we studied the spatial-temporal characteristics of air pollution in China from 2001–2014. First, we drew several line charts and histograms of the Air Pollution Index (AP...
Multi-wavelength digital-phase-shifting moiré was demonstrated using multiple moiré wavelengths determined by system calibration over the full working depth. The method uses the extended noisy phase map as a reference to unwrap the phas...
(1) Background: Ultra-short-term photovoltaic (PV) power prediction is crucial for optimizing grid scheduling and enhancing energy utilization efficiency. Existing prediction methods face challenges of missing data, noise interference, and insufficie...
Predicting the future impact of technical economic documents at release time is challenging due to delayed supervision signals, long-tailed label distributions, and time- and domain-dependent shifts in language and topics. Moreover, similarity graphs...
Against the backdrop of high-penetration distributed photovoltaic (DPV) integration into distribution networks, the limited measurability of small-scale DPV systems poses significant challenges to accurately estimating the baseline load of electric v...
Inland fisheries management in Cambodia has undergone two major policy reforms over the last two decades. These reforms led to the abolishment of a century-old commercial fishing lot system in 2012 and the establishment of new fish sanctuary and comm...
Temporal super-resolution (SR) aims to reconstruct a high-resolution signal from a low-resolution observation. When hardware limits force low sampling rates, this problem becomes critical for non-stationary signals with abrupt transients and rapid sp...
To address yield uncertainties from contrasting hydrothermal events in black soil regions, this study developed a universal estimation framework integrating multi-dimensional features. The universal yield estimation framework leveraged data from cont...
The gut microbiota forms early in life and undergoes dynamic changes that are essential for host health and development. Although body condition is a key fitness-related trait and predictor of viability in many animal species, its association with gu...
Anomaly detection is a critical task in video surveillance, with significant applications in the management and prevention of criminal activities. Traditional convolutional neural networks often struggle with motion modeling and multi-scale feature f...
The mustached bat (Pteronotus parnellii) is a mammalian model of cortical hemispheric asymmetry. In this species, complex social vocalizations are processed preferentially in the left Doppler-shifted constant frequency (DSCF) subregion of primary aud...
In a multifrequency phase-shifting (MFPS) algorithm, the temporal phase unwrapping algorithm can extend the unambiguous phase range by transforming the measurement range from a short fringe pitch into an extended synthetic pitch of two different freq...
Proton resonance frequency shift (PRFS) is an MRI-based simple temperature mapping method that exhibits higher spatial and temporal resolution than temperature mapping methods based on T1 relaxation time and diffusion. PRFS temperature measurements a...
In this study, otolith geochemical signatures (Element:Ca ratios) were used to investigate the long-term spatial shifts of the population structure of Isopisthus parvipinnis, Bigtooth corvina, an economically and ecologically important Brazilian fish...
Aberrant or non-standard operations by ship drivers are a leading cause of water traffic accidents, making the development of real-time and reliable behavior detection systems critically important. However, the environment within a ship’s bridg...
Ulansuhai, the largest shallow lake of the Yellow River of China, is an important component of the Hetao region irrigation system. Many concerns have concentrated on its water quality, which affects the local water security and sustainable economic d...
Due to its rising carbon footprint, new paradigms for carbon-efficient computing are needed. For distributed computing systems, one option is to shift computing loads in space or time to take advantage of low-carbon electricity, a paradigm known as c...
Security operations require effective prioritization of malware samples that warrant deeper investigation. This study evaluates whether five Portable Executable (PE) metadata features—Packed, Entropy, Packer, Compiler, and Linker—can supp...
This paper focuses on explaining changes over time in globally sourced annual temporal data with the specific objective of identifying features in black-box models that contribute to these temporal shifts. Leveraging local explanations, a part of exp...
Invasive species can alter community composition and ecosystem functioning. In the subtidal rocky shores of Arraial do Cabo Bay, southeastern Brazil, the invasive coral Tubastraea spp. has established populations, raising concerns about long-term imp...
Lake Bacalar, a fragile oligotrophic ecosystem located in the southeast of Yucatan Peninsula, Mexico, suffered from a sudden brownification after the tropical storm Cristobal in June 2020 in the Gulf of Mexico. The color change was the most visible e...
Chondrichthyans are among the most threatened vertebrate groups worldwide, yet their ecology and long-term trajectories remain poorly understood in data-limited regions such as the Mediterranean Sea. This study used Local Ecological Knowledge (LEK) p...
Many changes in our digital corpus have been brought about by the interplay between rapid advances in digital communication and the current environment characterized by pandemics, political polarization, and social unrest. One such change is the pace...
Four photodetectors, two in the balanced homodyne detector for in-phase (I) channel measurements and two in that for quadrature (Q) channel measurements, are needed for a conventional homodyne I/Q interferometer. Here, we present a new homodyne I/Q i...
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