Improvements in Image Registration, Segmentation, and Artifact Removal in ThermOcular Imaging System by Navid Shahsavari, Ehsan Zare Bidaki, Alexander Wong, Paul J. Murphy

“…This paper introduces significant enhancements to the ThermOcular system, initially developed for precise OST measurement using infrared (IR) thermography. …”
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Evaluating the Net Energy Requirements for Maintenance Based on Indirect Calorimetry and Heart Rate Monitoring in Gestating Sows by Zhe Li, Wenjun Gao, Huangwei Shi, Song Xu, Zhengcheng Zeng, Fenglai Wang, Changhua Lai, Shuai Zhang

“…Moreover, the average heart rate of the gestating sows was 84 bpm, and the mathematical model developed to predict the net energy requirements for the maintenance of gestating sows was <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi>N</mi><mi>E</mi></mrow><mrow><mi>m</mi></mrow></msub><mo stretchy="false">(</mo><mi mathvariant="normal">k</mi><mi mathvariant="normal">c</mi><mi mathvariant="normal">a</mi><mi mathvariant="normal">l</mi><mo>/</mo><mi mathvariant="normal">h</mi><mo stretchy="false">)</mo><mo>=</mo><mstyle scriptlevel="0" displaystyle="true"><mfrac><mrow><mn>1990</mn></mrow><mrow><mn>1</mn><mo>+</mo><mi mathvariant="normal">e</mi><mi mathvariant="normal">x</mi><mi mathvariant="normal">p</mi><mo>⁡</mo><mo>[</mo><mfrac><mrow><mn>136</mn><mo>−</mo><mi>H</mi><mi>R</mi><mo>(</mo><mi mathvariant="normal">b</mi><mi mathvariant="normal">p</mi><mi mathvariant="normal">m</mi><mo>)</mo></mrow><mrow><mn>43</mn></mrow></mfrac><mo>]</mo></mrow></mfrac></mstyle></mrow></semantics></math></inline-formula>. …”
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Model of forming a spatial-temporary radio frequency portrait of subscriber terminals in satellite communication systems monitoring by М. Балдычев, А. Босый, О. Гальцева, X. Цзян

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Assessing Inundation Semantic Segmentation Models Trained on High- versus Low-Resolution Labels using FloodPlanet, a Manually Labeled Multi-Sourced High-Resolution Flood Dataset by Zhijie Zhang, Jonathan Giezendanner, Rohit Mukherjee, Beth Tellman, Alexander Melancon, Matt Purri, Iksha Gurung, Upmanu Lall, Kobus Barnard, Andrew Molthan

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A Review of Intrusion Detection for Railway Perimeter Using Deep Learning-Based Methods by Jin Wang, Hongyang Zhai, Yang Yang, Niuqi Xu, Hao Li, Di Fu

“…Efficiently detecting intrusions on a railway perimeter is crucial for ensuring the safety of railway transportation. With the development of computer vision, researchers have been actively exploring methods for detecting foreign object intrusion via image recognition technology. …”
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A concept of levels of detail for modeling Buddhist statues in 3D by Yuehan Pan, Hongchao Fan, Huabiao Li, Miaole Hou

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Proposed SmartBarrel System for Monitoring and Assessment of Wine Fermentation Processes Using IoT Nose and Tongue Devices by Sotirios Kontogiannis, Meropi Tsoumani, George Kokkonis, Christos Pikridas, Yorgos Kotseridis

“…This paper introduces SmartBarrel, an innovative IoT-based sensory system that monitors and forecasts wine fermentation processes. …”
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Internet of things driven object detection framework for consumer product monitoring using deep transfer learning and hippopotamus optimization by Amnah Alshahrani, Mukhtar Ghaleb, Hany Mahgoub, Achraf Ben Miled, Nojood O. Aljehane, Mohammed Yahya Alzahrani, Hasan Beyari, Sultan Alanazi

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Recognition of Concrete Surface Cracks Based on Improved TransUNet by Xuwei Dong, Yang Liu, Jinpeng Dai

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Muographic Image Upsampling with Machine Learning for Built Infrastructure Applications by William O’Donnell, David Mahon, Guangliang Yang, Simon Gardner

“…A second cWGAN-GP model, trained for semantic segmentation, was developed to quantitatively assess the upsampling model’s impact on each of the features within the concrete samples. …”
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Enhancing DeepLabv3+ Convolutional Neural Network Model for Precise Apple Orchard Identification Using GF-6 Remote Sensing Images and PIE-Engine Cloud Platform by Guining Gao, Zhihan Chen, Yicheng Wei, Xicun Zhu, Xinyang Yu

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Displacement Estimation Performance of a Cost-Effective 2D-LiDAR-Based Retaining Wall Displacement Monitoring System by Jun-Sang Kim, Young Suk Kim

“…A recently developed 2D-LiDAR-based retaining wall displacement monitoring system offers advantages over traditional methods, such as easy installation and dismantling, as well as the cost-effective monitoring of three-dimensional displacement compared to terrestrial laser scanners (TLSs). …”
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Towards enhancing field‐based vegetation monitoring: A deep learning approach for species coverage estimation from ground‐level imagery by Pauline Müller, Stefano Puliti, Johannes Breidenbach

“…Third, we flattened the class values into a semantic raster and estimated the species‐specific cover by pixel counting. …”
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On the Usage of Deep Learning Techniques for Unmanned Aerial Vehicle-Based Citrus Crop Health Assessment by Ana I. Gálvez-Gutiérrez, Frederico Afonso, Juana M. Martínez-Heredia

“…The model was successfully integrated as a modular component within a broader system architecture and was tested with UAV-acquired images, demonstrating accurate disease detection and quantification, even under varied conditions. The developed system provides a robust tool for the efficient monitoring of citrus crops in precision agriculture.…”
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Toward global rooftop PV detection with Deep Active Learning by Matthias Zech, Hendrik-Pieter Tetens, Joseph Ranalli

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A refined SMR-DeepLabV3+ model for cultivated land extraction from cross-view imagery using an attention mechanism by Zheng Fang, Yuhang Gong, Heli Zhu, Canyang Shi, Zhijia Gong, Lin Tian

“…Abstract The protection and monitoring of cultivated land, as a vital resource, are essential for ensuring food security and advancing sustainable agricultural development, directly contributing to the Sustainable Development Goals (SDGs). …”
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Variability of the Linguistic Consciousness development of an Individual in the Artificial Bilingualism Conditions by Наталя Токарева, Марина Цегельська

“…Markers of the respondents’ linguistic awareness were subject to monitoring: language knowledge, culture and speaking skills (at a level sufficient for formulating and expressing thoughts in the process of interpersonal communication in a foreign language), manifestations of language socialization (mastering the norms of listening, perceiving and speaking in a foreign language at a level sufficient for communication and coordination of semantic codes of communication subjects).The obtained data were subjected to content analysis, which made it possible to evaluate the markers of the development of the respondents’ linguistic awareness in the artificial bilingualism conditions and to reveal the level of using a foreign language in communication. …”
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Refining Water Body Extraction by Remote Sensing With Deep Learning Models: Exploring Different Band Combinations by Ziheng Feng, Fei Zhang, Xu Ma, Chi Yung Jim, Di Wu, Dong Liu, Saheed Adeyinka Oke, Weiwei Wang, Lifei Wei, Songlin Nie, Zhihui Li, Haowei Xu

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DeSPPNet: A Multiscale Deep Learning Model for Cardiac Segmentation by Elizar Elizar, Rusdha Muharar, Mohd Asyraf Zulkifley

“…Background: Cardiac magnetic resonance imaging (MRI) plays a crucial role in monitoring disease progression and evaluating the effectiveness of treatment interventions. …”
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Improving Temperature Adaptation for Food Safety: Colorimetric Nanoparticle-Based Time–Temperature Indicators (TTIs) to Detect Cumulative Temperature Disturbances by Gustavo Lanza, Jaime Andres Perez-Taborda, Alba Avila

“…The global commitment to ending hunger by 2030 has driven Colombia to align its Sustainable Development Goals (SDGs) toward reducing food waste and ensuring access to safe, nutritious food. …”
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