Remote Network Research Articles

Operational Challenges and Prioritization of Potential Solutions for Integrating Vertiports into Airports

The integration of vertiports into airports for eVTOL/UAV flights poses operational challenges. The aim of the study was to propose and prioritize solutions to overcome these challenges. A comprehensive literature review identified remote vertiport networks, geofencing technology, dedicated airspace corridors, advanced collision avoidance systems, and dynamic airspace management as potential solutions. These solutions were prioritized using the Analytic Hierarchy Process (AHP) based on criteria such as safety, cost, efficiency, feasibility, and sustainability. Dynamic airspace management was the highest priority, followed by remote vertiport networks, dedicated airspace corridors, geofencing technology, and advanced collision avoidance systems. The study highlights the importance of dynamic data sharing and real-time planning through integrated ATM and UTM systems, enhanced by AI technologies, to ensure safety and efficiency. In addition, the development of remote vertiport networks and dedicated airspace corridors is essential to manage growing air traffic and ensure the safe coexistence of eVTOL/UAVs and traditional aircraft. Geofencing technology and advanced collision avoidance systems are also essential to maintain safety and operational integrity. It is recommended that future studies focus on the integration of ATM/UTM and the application of artificial intelligence. Continued collaboration between UAM stakeholders is essential to develop effective integration strategies.

Assessing adherence to remote monitoring recommendations for cardiovascular implantable electronic devices: a retrospective analysis

Abstract Background The recently published Expert Consensus Statement on the Practical Management of Remote Device Clinic offers evidence-based recommendations for managing patients with cardiovascular implantable electronic devices (CIEDs). Purpose This study evaluates adherence to remote monitoring (RM) recommendations in current clinical practice using data from a RM database. Methods According to RM guidelines, patient connectivity should be maintained. If continuous connection is ensured, it is reasonable to schedule in-person visits every 24 months, with alert-based RM potentially replacing structured intermittent device follow-up. Data from 6553 CIED patients followed on the LATITUDE (Boston Scientific) remote network at 26 Italian centers between 2010 and 2023 were analyzed. Median RM duration was 40 months (25th-75th percentile: 23-67). Results Enrollment of patients at centers significantly increased over the observation period (Figure). As of the January 2024 data extraction, 4723 patients had transmitted data in the last 12 months. Among these, 639 (14%) were NOT MONITORED (i.e. interrupted connectivity), with no significant differences among CIED types (Pacemaker: 13%; ICD: 12%; CRT-P: 7%; CRT-D: 13%; S-ICD: 18%). Scheduled device transmissions occurred at least once every 3 months in 96% of patients. The volume of in-office device interrogations and remote transmissions is detailed in Figure. In 2023, among the 4084 MONITORED patients, 6600 in-office device interrogations were conducted, and 64296 remote transmissions were reviewed. Of these, 34267 (53%) were scheduled, 15091 (24%) were patient-initiated, and only 14938 (23%) were triggered by alerts. Conclusions In current clinical practice, RM adoption is increasing, alongside the volume of in-office and remote visits. Solutions must be implemented to ensure transmission continuity in a substantial percentage of patients. Additionally, there persists a significant reliance on frequent scheduled transmissions and in-office visits. Centers stand to gain from implementing the guideline-recommended alert-based RM strategy, reducing the considerable burden of nonactionable remote and in-office visits among patients with continuous connectivity.

Space-Ground Remote Sensor Network for Monitoring Suspended Sediments in the Yellow River Basin.

The Yellow River, China's second-largest river, is renowned for its high sediment content. In response to the potential impacts of climate change on Yellow River water resources and water environmental management, an advanced monitoring and forecasting system for water and sediment throughout the entire Yellow River basin-from its source to the sea-is urgently needed. In this paper, based on the current status of water and sediment monitoring technologies, we proposed an integrated remote sensing monitoring network that combines satellite remote sensing, drone remote sensing, and ground-based wireless automatic monitoring networks, aiming to achieve the digital monitoring of water and sediment across the entire Yellow River basin, from its upper reaches to its estuary in the Bohai Sea. By utilizing ground-based in situ hyperspectral stations for sediment source areas in the upper reaches, such as the Qingshui River basin in Ningxia, and satellite remote sensing for midstream processes in the Xiaolangdi reservoir before the flood season in 2023, as well as downstream monitoring at the Yellow River estuary, this paper demonstrates the novelty and efficiency of the space-air-ground integrated remote sensing monitoring technology.

Developing Wireless Communication Technique for Usage in IoT Applications

The Internet of Things (IoT) is another registering worldview that imagines standard ordinary articles being changed into significant items. In view of its benefits over wired advancements, like simpler arrangement, less expensive structures, compact help, flexibility, and straightforwardness of association, remote innovations will be the best option for interfacing IoT gadgets. There are assortments of remote advances that can be utilized for IoT; these innovations cover a wide scope of distances, from a couple of centimeters to numerous kilometers. The Internet Engineering Task Force (IETF) introduced the 6LowPAN convention in this article, and the ZigBee association set up the ZigBee convention over the low-power IEEE802.15.4 standard. Sensors are gathered in remote sensor networks applications to illuminate sensor centers. Commonly, battery power is utilized to drive these center points. In IoT applications, these centers should keep going for quite a long time without waiting be re-energized. IoT helps with settling on choices in view of genuine information gathered from a colossal number of ordinary gadgets that have been improved with information through the expansion of detecting, handling, and correspondence capacities. Remote correspondence is for the most part utilized by IoT gadgets to speak with different gadgets.

Macrodominios de competencias en telesalud de los profesionales del área de la salud

In response to the increasing worldwide implementation of telehealth with the intent of closing the gaps in access to health, the World Health Organization (WHO) stresses the importance of defining competencies for health professionals in this field. This article presents the results of a literature review that identifies telehealth competency domains that strengthen the skills of health professionals. The results were analysed by categorizing the competency domains systematically into macrodomains that encompasskeyaspectsoftelehealthpractice; suchas applicability, remote clinical care, communication, networking, management, professionalism, information technologies, and ethical and legal aspects. These findings, supported by WHO recommendations, provide a solid basis for designing telehealth training programs and can be adapted to local contexts, facilitating the development of policies and strategies to improve the quality and accessibility of health care in remote or underserved settings.

Télé-expertise en ophtalmologie au centre hospitalier universitaire de Rennes : évaluation de la plateforme sécurisée OMNIDOC au cours de sa première année d’utilisation

Ophthalmology as a specialty is a pioneer in the area of telemedicine. Remote consultation represents one of the 5 types of telemedicine services, with a growing volume of activity in university hospitals. In November 2020, the ophthalmology department of Rennes University Medical Center launched its remote consultation network with the secured platform OMNIDOC. The goal of this study was to assess its contribution during its first year of use. Beginning in November 2020, ophthalmology consults at Rennes University Medical Center were directed towards the dedicated OMNIDOC network. Three-hundred and forty-one requests for remote consultation were received and analyzed between November 2020 and October 2021. We sent a satisfaction survey to both the requesting and consultant physicians to assess whether or not the network was beneficial. Three-hundred and twenty-seven remote consultations requested by 126 practitioners were included in the study. The median response time was 6hours. Every field of the specialty was involved, of which 22.3% were for pediatric patients under 6years of age. Among the requests, 89.7% were regional (Brittany) and came mostly from ophthalmologists (61.77%). Nearly one out of two patients did not require an in-person consultation at Rennes University Medical Center. The implementation of a remote consultation network allowed access to a rapid, facilitated medical ophthalmology consultation. Such a platform delivers safety and traceability of the interactions. It enhances and optimizes the patients' care pathway and encourages relationships with community physicians.

Device programing and SMART pass algorithm activation in subcutaneous implantable defibrillator patients: Data from a remote monitoring database.

The programing of subcutaneous implantable cardioverter-defibrillators (S-ICD) in clinical practice has been little studied, as the activation status of the SMART Pass filter, which was implemented to reduce inappropriate shocks. We assessed device programing during follow-up and the rate of detected arrhythmias in consecutive S-ICD recipients. We analyzed data from 670 S-ICD patients followed on the remote network at 17 Italian centers for a median of 31 months (25th-75th percentile: 16-51). The enhanced SMART Pass version, introduced in October 2022, was expected to reduce the unintentional deactivation rate. At the latest remote data transmission, the median conditional zone cut-off was set to 210bpm (25th-75th percentile: 200-220), the shock zone cutoff was 250bpm (25th-75th percentile: 240-250), and the SMART Pass was enabled in 586 (87%) patients. During follow-up, 194 automatic deactivation events were reported in 118 (18%) patients. Shocks were delivered in 129 (19%) patients, and untreated arrhythmias were recorded in 136 (20%) patients. The rate of shocks was lower when SMART Pass was enabled -0.12/patient-year (95% CI: 0.10-0.14) versus 0.20 (95% CI: 0.15-0.26) (p=.002), as it was the rate of untreated arrhythmias -0.12/patient-year (95% CI: 0.11-0.14) versus 0.23 (95% CI: 0.18-0.30) (p=.001). The enhanced SMART Pass version was associated with a lower rate of deactivations -0.04/patient-year (95% CI: 0.02-0.05) versus 0.14 (95% CI: 0.12-0.16) (p<.001), and with a reduction in treated and untreated arrhythmias (Incidence rate ratios: 0.40 (95% CI: 0.28-0.53) and 0.40 (95% CI: 0.30-0.55), respectively (p<.001)). Centers tend to program devices to detect high ventricular rates for arrhythmia detection, to minimize inappropriate shock occurrences. SMART Pass activation is associated with lower rates of detected and treated arrhythmias. The enhanced SMART Pass version seems associated with a lower deactivation rate and with a further decrease in treated arrhythmias.

BioPipeline Creator—a user-friendly Java-based GUI for managing and customizing biological data pipelines

Bioinformatics tools are essential for performing analyses in the omics sciences. Given the numerous experimental opportunities arising from advances in the field of omics and easier access to high-throughput sequencing platforms, these tools play a fundamental role in research projects. Despite the considerable progress made possible by the development of bioinformatics tools, some tools are tailored to specific analytical goals, leading to challenges for non-bioinformaticians who need to integrate the results of these specific tools into a customized pipeline. To solve this problem, we have developed the BioPipeline Creator, a user-friendly Java-based GUI that allows different software tools to be integrated into the repertoire while ensuring easy user interaction via an accessible graphical interface. Consisting of client and server software components, BioPipeline Creator provides an intuitive graphical interface that simplifies the use of various bioinformatics tools for users without advanced computer skills. It can run on less sophisticated devices or workstations, allowing users to keep their operating system without having to switch to another compatible system. The server is responsible for the processing tasks and can perform the analysis in the user's local or remote network structure. Compatible with the most important operating systems, available at https://github.com/allanverasce/bpc.git.

Low-voltage Compensation of Distribution Networks Based on A Hybrid UPQC with Single and Three-phase Converters

Abstract For remote distribution networks, low voltage is prevalent, which seriously affects the normal use of electricity. Aiming at solving the voltage sag/dip problems in 10.5 kV distribution networks, a hybrid UPQC with a shunt single-phase rectifier and a series three-phase inverter is proposed in this paper. The shunt single-phase rectifier is connected to the feeder lines with the highest and lowest voltage phases to supply enough energy to the series inverter, and the three-phase inverter compensates the voltage deviation by injecting active power through a series transformer, such that the voltage sag/dip problems can be mitigated. The control strategies of the two converters are designed in detail in this paper. Compared with the traditional UPQC with two three-phase converters, the proposed method has the advantage of simpler control methods and lower cost. Finally, the proposed method is verified through MATLAB/Simulink model.

A Remote Network Transmission Diagnosis Method for Oral Cancer Based on 6G and Rough Set Theory Hierarchical Diagnosis

A Remote Network Transmission Diagnosis Method for Oral Cancer Based on 6G and Rough Set Theory Hierarchical Diagnosis

Micro-electricity generation from wind-induced vibration with magnetostrictive material-based energy harvester

This study aimed to experimentally investigate flow-induced vibration of modified circular cylinders for wind-receiving mast of Vibration-Based Power Generator (VBPG). Specifically, it focused on vibration characteristics of tapered and stepped circular cylinders in VBPG mechanism. Tapering and inverting cylinder model proved effective in reducing Vortex-Induced Vibration (VIV) onset and peak amplitude concerning flow stream velocity. Some tapered cylinder models showed a broadening peak response (upper branch region), showing an extensive power harvesting range for VBPG device. The result showed that the maximum power harvesting of the model with a plain bluff cylinder was 8.45 mW, reduced by tapering bluff cylinder. The power coefficient of VBPG with a normal bluff cylinder was 4 %, but inversing stepped bluff cylinder yielded 5.45 %. It is related to VIV-onset parameter, which was lower than that the plain cylinder. In addition, it was discovered that there was an interdependency between frequency response and power generation capacity for VIV-type resonance. The generated power proved sufficient to illuminate a board with 54 LED lamps in a laboratory-scale test. Meanwhile, an outdoor performance test of harvester, conducted with variable wind speed (0 – 3.2 m/s), showcased the reliability of VBPG mechanism for independent power supply to wireless, remote sensor networks, or moderate scale of power supply. The field test model worked not only in variable wind speed, but also in chaotic wind direction.

Networking Aspects of the Electronic Health Records: Hypertext Transfer Protocol Version 2 (HTTP/2) vs HTTP/3.

The rapid development of the digital healthcare and the electronic health records (EHR) requires smooth networking infrastructure to access data using Hypertext Transfer Protocol (HTTP)-based applications. The new HTTP/3 standard should provide performance and security improvements over HTTP/2. The goal of our work was to test the performance of HTTP/2 and HTTP/3 in the context of the EHRs. We used 45,000 test FHIR Patient resources downloaded and uploaded using 20, 50, 100 and 200 resources per Bundle, which resulted in 2251, 901, 451 and 226 HTTP GET and POST requests respectively. The first test downloading 20 resources per Bundle showed that HTTP/3 outperformed HTTP/2 in the local (mean request time 16.57 ms ± 7.2 standard deviation [SD]) and in the remote network (71.45 ms ± 43.5 SD) which is almost 3 times faster. In the 50 and 100 resources per Bundle test the HTTP/3 protocol demonstrated again more than two times gain in downloading performance for remote requests with mean request time 91.13 ms ± 34.54 SD and 88.09 ms ± 21.66 SD respectively. Furthermore, HTTP/3 outperformed HTTP/2 in the constructed clinical dataset remote transfer. In the upload tests HTTP/3 showed only a slight gain in performance merely in the remote network. The HTTP/3 protocol is a relatively new development and a major improvement for the worldwide web. This new technology is still missing in the digital health and EHRs. Its use could offer a major performance gain in situations where data is gathered from multiple remote locations.

Remote and controlled quantum teleportation network of the polarization squeezed state

Quantum teleportation is a building block in quantum computation and quantum communication. The continuous-variable polarization squeezed state is a key resource in quantum networks, offering advantages for long-distance distribution and direct interfacing of quantum nodes. Although polarization squeezed state has been generated and distributed between remote users, it is a long-standing goal to implement controlled quantum teleportation of the polarization squeezed state with multiple remote users. Here, we propose a feasible scheme to teleport a polarization squeezed state among multiple remote users under control. The polarization state is transferred between different remote quantum networks, and the controlled quantum teleportation of the polarization state can be implemented in one quantum network involving multiple remote users. The results show that such a controlled quantum teleportation can be realized with 36 users through about 6-km free-space or fiber quantum channels, where the fidelity of 0.352 is achieved beyond the classical limit of 0.349 with an input squeezing variance of 0.25. This scheme provides a direct reference for the experimental implementation of remote and controlled quantum teleportation of polarization states, thus enabling more teleportation-based quantum network protocols.

Adherence to remote monitoring recommendations in current clinical practice: data from a remote monitoring database

Abstract Background The recently published Expert Consensus Statement on the Practical Management of Remote Device Clinic offers evidence-based recommendations for managing patients with cardiovascular implantable electronic devices (CIEDs). Purpose We examined data from a remote monitoring (RM) database to evaluate adherence to RM recommendations in current clinical practice. Methods According to RM guidelines, patients should be enrolled within 2 weeks of implantation for earlier detection of actionable events, and in any case, within 3 months, as it is associated with improved survival. Continuous connectivity should be maintained. In patients with continuous connectivity, alert-based RM may replace structured intermittent device follow-up. We analyzed data from 4427 CIED patients followed on the LATITUDE (Boston Scientific) remote network at 20 Italian centers. Patients were enrolled between 2010 and 2023, with a median RM duration of 37 months (25th-75th percentile: 21-60). Results The number of patients enrolled at the centers significantly increased during the observation period (Figure). In the overall RM population, we identified a group of patients (56%) enrolled after implantation (within 6 months) and a group of patients enrolled late during their follow-up. In the first group, RM receiver activation occurred within 2 weeks in 62% and within 3 months in 90% of patients. The second group consisted mainly of patients not yet in RM at the time of COVID-19 outbreak and included to allow RM of all patients at the centers. Overall, 96% of enrolled patients performed remote data transmissions during the observation period. As of the July 2023 data extraction, 1405 (33%) patients were not monitored, with no significant differences among CIED types (CRT-D: 37%; ICD: 32%; S-ICD: 32; Pacemaker: 30%). Most not-monitored patients (30%) had not transmitted data for over a year, likely due to patient death, CIED extraction, or other irreversible causes. For the remaining 3%, the recent loss of connection (occurring within a timeframe shorter than the scheduled transmission interval) should have prompted interventions to restore connection. Scheduled device transmissions occurred at least once every 3 months in 94% of patients. Considering individual device programming, the 2836 patients with consistent connectivity performed 25,281 scheduled transmissions in one year. Conclusions In current clinical practice, RM adoption is continually increasing, with generally observed adherence to post-implantation patient enrollment recommendations. However, a significant proportion of patients may activate RM earlier. Centers must implement solutions to ensure transmission continuity in a substantial percentage of patients. Nevertheless, the workload generated by this activity could be effectively balanced by adopting an alert-based RM strategy and reducing unnecessary scheduled transmissions.Enrolled patients trend

Device programming and SMART pass algorithm activation in subcutaneous implantable defibrillator patients: data from a remote monitoring database

Abstract Background In subcutaneous implantable cardioverter-defibrillator (S-ICD) recipients, a previous study demonstrated very low rates of delivered shocks and inappropriate shocks on programming a conditional zone between 200 and 250 bpm and a shock zone for arrhythmias &amp;gt;250 bpm. The extent to which this programming approach is adopted in clinical practice has been little studied, as the activation status of the SMART Pass filter, that was implemented to reduce inappropriate shocks and enhanced over time. Purpose We assessed device programming during follow-up and the rate of detected arrhythmias in a cohort of consecutive S-ICD recipients. Methods We analyzed data from 670 S-ICD patients followed on the remote network at 17 Italian centers for a median of 31 months (25th-75th percentile: 16-51). The enhanced SMART Pass version was available for all patients after October 2022. It makes the deactivation monitor less sensitive to premature ventricular contractions or other transient amplitude changes while maintaining arrhythmia sensitivity and specificity, and it was expected to reduce unintentional deactivation rate. Results At the last remote data transmission, the median programmed conditional zone cut-off was set to 210 bpm (25th-75th percentile: 200-220), the shock zone cut-off was 250 bpm (25th-75th percentile: 240-250), and the SMART Pass was enabled in 586 (87%) patients. During follow-up, 194 automatic deactivation events (0.10/patient-year) were reported in 118 (18%) patients. The SMART Pass-disabled time was 13% of the total observation period. Shocks were delivered in 129 (19%) patients (rate: 0.13/patient-year), and untreated arrhythmias were recorded in 136 (20%) patients (rate: 0.14/patient-year). The rate of shocks was lower when SMART Pass was enabled – 0.12/patient-year (95% CI: 0.10-0.14) versus 0.20 (95%CI: 0.15-0.26) (p=0.002), as it was the rate of untreated arrhythmias – 0.12/patient-year (95% CI: 0.11-0.14) versus 0.23 (95%CI: 0.18-0.30) (p=0.001). The enhanced SMART Pass version was associated with a lower rate of deactivations – 0.04/patient-year (95%CI: 0.02-0.05) versus 0.14 (95% CI: 0.12-0.16) (p&amp;lt;0.001), and with a reduction in treated and untreated arrhythmias (Incidence rate ratios: 0.40 (95%CI: 0.28-0.53) and 0.40 (95%CI: 0.30-0.55), respectively (p&amp;lt;0.001)). Conclusions In current clinical practice, S-ICD implantation centers often program high cut-off rates for arrhythmia detection. Most patients have SMART Pass consistently enabled during follow-up. This is associated with significantly lower rates of detected and treated arrhythmias. The enhanced SMART Pass version seems associated with lower deactivation rate, and with further decrease in treated and untreated detected arrhythmias.

Towards a federated and hybrid cloud computing environment for sustainable and effective provisioning of cyber security virtual laboratories

Cloud Computing (CC) and virtualization concepts are two advanced technologies introduced to empower distance and blended learning. Besides, they play a crucial role in equipping learners with practical skills and fostering hands-on experience to defend against cyber-attacks. Many Higher Education Institutions (HEIs) in developed countries have already embraced the promise of CC to raise educational standards. However, the pace of its adoption in developing countries has stagnated. Moreover, existing solutions in the literature are not sustainable. They either rely on on-premise infrastructure or are bound by a single cloud service provider. Consequently, they are likely prone to failures and a sudden outage. To fill this gap, this paper is a first that comprehensively addresses the above issues and introduces a federated hybrid CC system based on an extension of Apache Virtual Computing Lab (VCL). The proposed system provides an independent open-source implementation, greater configuration flexibility, and methodological improvements as compared to existing studies in the literature. In addition, it promotes the sustainability of the CC services, extensible cloud architecture, and fault tolerance. VCL is primarily focused on provisioning Virtual Laboratories (VL) for remote cybersecurity and computer networks education, with potential expansion to other domains of engineering education. In addition, this paper introduces GPT-TerminalPro, a terminal-based tool driven by OpenAI’s Generative Pretrained Transformer (GPT-3.5) that provides intelligent assistance to users while performing lab tasks. To experimentally evaluate the VCL’s performance, the standard Linux tools as well as the Apache benchmark and httperf HTTP load generators are utilized. VCL has been tested with 30 users and 61 virtual user computing environments provisioning to validate the overall performance. The results are fascinating: the provisioning time including all VCL background tasks is always less than a minute and utilizes fewer computing resources while providing a better user experience. This paper will encourage the adoption of CC in low-income countries.

Remote Network Effects of Post-traumatic Lesions and Risk of Post-traumatic Epilepsy (P5-1.010)

Remote Network Effects of Post-traumatic Lesions and Risk of Post-traumatic Epilepsy (P5-1.010)

Examining Ethical Hacking: A Case Study for Information Security Curriculum

Denial of Service (DoS) assaults are a crucial subject in security courses, particularly those that emphasize intrusion detection and ethical hacking methods. This work offers a case study that describes how three typical DoS attacks were implemented as part of extensive offensive hands-on lab exercises. The goal of the exercises is to provide students with the necessary skills to carry out these assaults in a lab setting on a remote network. The report also addresses the moral and legal ramifications of teaching ethical hacking and offers recommendations for improving the efficacy and integrity of information security curricula at educational institutions.

An effective cross-scenario remote heart rate estimation network based on global-local information and video transformer.

Remote photoplethysmography (rPPG) technology is a non-contact physiological signal measurement method, characterized by non-invasiveness and ease of use. It has broad application potential in medical health, human factors engineering, and other fields. However, current rPPG technology is highly susceptible to variations in lighting conditions, head pose changes, and partial occlusions, posing significant challenges for its widespread application. In order to improve the accuracy of remote heart rate estimation and enhance model generalization, we propose PulseFormer, a dual-path network based on transformer. By integrating local and global information and utilizing fast and slow paths, PulseFormer effectively captures the temporal variations of key regions and spatial variations of the global area, facilitating the extraction of rPPG feature information while mitigating the impact of background noise variations. Heart rate estimation results on the popular rPPG dataset show that PulseFormer achieves state-of-the-art performance on public datasets. Additionally, we establish a dataset containing facial expressions and synchronized physiological signals in driving scenarios and test the pre-trained model from the public dataset on this collected dataset. The results indicate that PulseFormer exhibits strong generalization capabilities across different data distributions in cross-scenario settings. Therefore, this model is applicable for heart rate estimation of individuals in various scenarios.

Using citizen science image analysis to measure seabird phenology

Developing standardized methodology to allow efficient and cost‐effective ecological data collection, particularly at scale, is of critical importance for understanding species' declines. Remote camera networks can enable monitoring across large spatiotemporal scales and at relatively low researcher cost, but manually analysing images and extracting biologically meaningful data is time‐consuming. Citizen science image analysis could reduce researcher workload and increase output from large datasets, while actively raising awareness of ecological and conservation issues. Nevertheless, testing the validity of citizen science data collection and the retention of volunteers is essential before integrating these approaches into long‐term monitoring programmes. In this study, we used data from a Zooniverse citizen science project, Seabird Watch, to investigate changes in breeding timing of a globally declining seabird species, the Black‐legged Kittiwake Rissa tridactyla. Time‐lapse cameras collected &gt;200 000 images between 2014 and 2023 across 11 locations covering the species' North Atlantic range (51.7°N–78.9°N), with over 35 000 citizen science volunteers ‘tagging’ adult and juvenile Kittiwakes in images. Most volunteers (81%) classified images for only a single day, and each volunteer classified a median of five images, suggesting that high volunteer recruitment rates are important for the project's continued success. We developed a standardized method to extract colony arrival and departure dates from citizen science annotations, which did not significantly differ from manual analysis by a researcher. We found that Kittiwake colony arrival was 2.6 days later and departure was 1.2 days later per 1° increase in latitude, which was consistent with expectations. Year‐round monitoring also showed that Kittiwakes visited one of the lowest latitude colonies, Skellig Michael (51.8°N), during winter, whereas birds from a colony at similar latitude, Skomer Island (51.7°N), did not. Our integrated time‐lapse camera and citizen science system offers a cost‐effective means of measuring changes in colony attendance and subsequent breeding timing in response to environmental change in cliff‐nesting seabirds. This study is of wide relevance to a broad range of species that could be monitored using time‐lapse photography, increasing the geographical reach and international scope of ecological monitoring against a background of rapidly changing ecosystems and challenging funding landscapes.