MULTIMODALITY AND NEUROCOPYWRITING AS DIGITAL COMMERCIAL NARRATIVE STRATEGIES by Iryna P. Voloshchuk, Nataliia V. Glinka

“…The success of the commercial narrative in its two types (branding and sales storytelling) is achieved through the interaction of different modes of sensorics, which change states of consciousness and participate in the receiver’s decision-making. …”
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VANTAGE: An open‐source application for visualisation, navigation and analysis of video and ancillary time‐series data in bio‐logging studies by Stefan Schoombie, Tagen deWet, Stefan Britz, Andrew D. Lowther, W. Chris Oosthuizen

“…In recent years, the deployment of animal‐borne video cameras in addition to other time‐series loggers, such as accelerometers and depth sensors, has become popular. Visual observations from animal‐borne cameras provide ideal ground‐truth data when behavioural inferences are made from concurrently deployed bio‐loggers. …”
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Video-Based Respiratory Rate Estimation for Infants in the NICU by Soodeh Ahani, Nikoo Niknafs, Pascal M. Lavoie, Liisa Holsti, Guy A. Dumont

“…The Bland-Altman analysis of the proposed algorithm shows higher agreement between the estimated values via the proposed method and visually counted RR than the agreement between the RR obtained from the impedance sensors and reference RR, and agreement between a former EVM-based method and reference RR values.Conclusion: Our algorithm shows promising results for RR estimation in a real-life NICU environment under various conditions that can confound the estimation.Clinical impact: We present a robust algorithm for non-contact neonatal respiratory rate monitoring, capable of performing well under various environmental lighting conditions in NICU, even when the infant is clothed or covered.…”
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Advanced Detection of Violence From Video: Performance Evaluation of Transformer and State of the Art of Convolution of Neural Network Transformer by Abdulrahman Alshalawi, Wadood Abdul, Ghulam Muhammad

“…These scenarios can be detected by advanced surveillance systems equipped with cameras or sensors. The performance of these systems is highly dependent on the models they incorporate. …”
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Development of alumina-based porosity reference materials for the mercury porosimetry method by E. P. Sobina

“…This paper presents the results of a study on the development of alumina-based porosity reference materials (RMs), which are intended for controlling the accuracy of the measurement results obtained using the mercury porosimetry method. …”
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Reinforcement learning based route optimization model to enhance energy efficiency in internet of vehicles by Quadeer Hussain, Ahmad Shukri Mohd Noor, Muhammad Mukhtar Qureshi, Jianqiang Li, Atta-ur Rahman, Aghiad Bakry, Tariq Mahmood, Amjad Rehman

“…Specific problems are related to energy consumption for transmitting information, distributing energy loads across the vehicle’s sensors and communication units, and designing energy-efficient approaches to processing received data and making decisions in the context of the IoV environment. …”
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Evaluating multi-seasonal SAR and optical imagery for above-ground biomass estimation using the national forest inventory of Zambia by Kennedy Kanja, Ce Zhang, Peter M. Atkinson

“…Remote sensing, including both active and passive sensors, presents a promising and cost-effective alternative, yet its practical utility and accuracy for capturing forest AGB in diverse and complex ecosystems remains largely unexplored. …”
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Canning process of hilsa shad (Tenualosa ilisha) in Bangladeshi style mustard curry medium: assessment of thermal sterilization and shelf-life evaluation by Kazi Ahsan Habib, Shaid Kaisar Shafi, Md. Nazmus Sakib, Farhan Bin Habib, Mohammed Shariful Azam

“…Thermal processing was standardized using thermocouple sensors, recording a come-up time of 26 min, heating time of 32 min, cooling time of 15 min, and a sterilizing value (F0) of 17.22 min. …”
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Workflow for Conflict and Reinforcement Identification Based on STPA and STRIDE by Andrei Carniel, Juliana de Melo Bezerra, Celso Massaki Hirata

“…CPSs involve processing and storage units, mechanical and electrical components, sensors, actuators, and communication networks, having software as the dominant part of this integration. …”
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AI4Food Project: Application of Personalised Nutrition Integrating Artificial Intelligence in Nutritional Interventions Focused on Weight Loss by Isabel Espinosa-Salinas, Gala Freixer, Sergio Romero-Tapiador, Blanca Lacruz Pleguezuelos, Ruben Tolosana, Javier Ortega-Garcia, Enrique Carrillo-De Santa Pau

“…In the digital intervention, the sensors Freestyle Libre 2 Glucometer and smartwatch Fitbit Sense were used to monitor glucose levels and lifestyle (heart rate, heart rate variability, sleep patterns, electrodermal activity, etc.) and diet was monitored by image captures. …”
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Synthesis and magnetic transitions of rare-earth-free Fe–Mn–Ni–Si-based compositionally complex alloys at bulk and nanoscale by Shabbir Tahir, Tatiana Smoliarova, Carlos Doñate-Buendía, Michael Farle, Natalia Shkodich, Bilal Gökce

“…Magnetic phase transitions at the Curie temperature are essential for applications like magnetocaloric refrigeration, magnetic sensors, and actuators, but the reliance on costly, scarce rare-earth materials limits sustainability. …”
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UAV-StrawFire: A visible and infrared dataset for real-time straw-fire monitoring with deep learning and image fusion by Xikun Hu, Ya Jiang, Xiaoyan Xia, Chen Chen, Wenlin Liu, Pengcheng Wan, Kangcheng Bin, Ping Zhong

“…To address this challenge, unmanned aerial vehicles (UAVs) equipped with imaging sensors have emerged as a rapid and cost-effective solution for monitoring and detecting straw fires. …”
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Performance of a low-cost optical particle counter (Alphasense OPC-N3) in estimating size-resolved dust emission flux using eddy covariance by S. Dupont, E. Lamaud, M. R. Irvine, J.-M. Bonnefond, A. González-Romero, A. González-Romero, A. Alastuey, C. González-Flórez, X. Querol, K. Kandler, M. Klose, C. Pérez García-Pando, C. Pérez García-Pando

“…The high-frequency sampling capacity (1 Hz) of some sensors may make them suitable for estimating dust emissions using the eddy-covariance method. …”
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A Hybrid Approach for Forecasting Occupancy of Building’s Multiple Space Types by Iqra Rafiq, Anzar Mahmood, Ubaid Ahmed, Ahsan Raza Khan, Kamran Arshad, Khaled Assaleh, Naeem Iqbal Ratyal, Ahmed Zoha

“…In this context, we present an occupancy forecasting model for different types of rooms in an academic building. …”
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A benchmark for computational analysis of animal behavior, using animal-borne tags by Benjamin Hoffman, Maddie Cusimano, Vittorio Baglione, Daniela Canestrari, Damien Chevallier, Dominic L. DeSantis, Lorène Jeantet, Monique A. Ladds, Takuya Maekawa, Vicente Mata-Silva, Víctor Moreno-González, Anthony M. Pagano, Eva Trapote, Outi Vainio, Antti Vehkaoja, Ken Yoda, Katherine Zacarian, Ari Friedlaender

“…Abstract Background Animal-borne sensors (‘bio-loggers’) can record a suite of kinematic and environmental data, which are used to elucidate animal ecophysiology and improve conservation efforts. …”
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A new index for detection of submerged aquatic plants under variable quality water: an extension of the soil-line concept by Shruti Khanna, Erin L. Hestir, Joaquim Bellvert, Jennifer D. Boyer, Kristen D. Shapiro, Susan L. Ustin

“…Variation in water quality, SAP community composition and cover present challenges when mapping SAP robustly across estuarine ecosystems. …”
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Performance of Various Artificial Intelligence Models for Predicting Temperature in an Industrial Building—A Case Study by Johan Roussel, Zoubeir Lafhaj, Pascal Yim, Thomas Danel, Laure Ducoulombier

“…This article presents a comparative analysis of the performance of various artificial intelligence models for predicting temperature in an industrial building. …”
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Construction and demolition waste material library based on vision systems dataZenodo by Maria Teresa Calcagni, Giovanni Salerno, Gloria Cosoli, Giuseppe Pandarese, Gian Marco Revel

“…In this context, this data article presents a comprehensive material library designed to collect, organise, and make available data from advanced material characterisation analyses based on vision systems data. …”
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Recent developments of artificial intelligence methods for sea ice concentration monitoring using high-resolution imaging datasets by Marzuraikah Mohd Stofa, Siti Raihanah Abdani, Asraf Mohamed Moubark, Muhammad Ammirrul Atiqi Mohd Zainuri, Ahmad Asrul Ibrahim, Nor Azwan Mohamed Kamari, Mohd Asyraf Zulkifley

“…This study concentrates on high-resolution imaging datasets, but it also recognises the potential use of AI in other remote sensing modalities, including scatterometry, altimetry and passive microwave sensors. This review explicitly examines research articles published from 2019 to the present, particularly those that emphasise deep learning methods. …”
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Assessment of earthquake resistance of critical infrastructure objects, taking into account their own harmonics in the explosive spectrum of civil and military characters by V.V. Boiko, Yu.I. Voitenko, A.L. Han, T.V. Khlevniuk, Ye.A. Zahoruiko, O.V. Han

“…The article presents theoretical and experimental studies of the patterns of repeatability of seismic waves excited by man-made explosions to assess the earthquake resistance of critical infrastructure objects. …”
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