Advancements in remote sensing technologies for accurate monitoring and management of surface water resources in Africa: an overview, limitations, and future directions by Maria Sigopi, Cletah Shoko, Timothy Dube

“…Therefore, we recommend that future research endeavours focus on leveraging high-resolution satellite imagery and integrating physical models with deep learning techniques, artificial intelligence, and online big data processing platforms to improve surface water mapping capabilities.…”
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Spain and the internationalization of the economy by V. M. Tayar

“…During this period of time political and economic European map has undergone significant changes. Economic sectors were deeply transformed by globalization and regionalization. …”
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PO-YOLOv5: A defect detection model for solenoid connector based on YOLOv5. by Ming Chen, Yuqing Liu, Xing Wei, Zichen Zhang, Oleg Gaidai, Hengshou Sui, Bin Li

“…Solenoid connectors play important role in electronic stability system design, with the features of small size, low cost, fast response time and high reliability. The main production process challenge for solenoid connectors is the accurate detection of defects, which is closely related to safe driving. …”
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Unsupervised Machine Learning Approaches for Test Suite Reduction by Anila Sebastian, Hira Naseem, Cagatay Catal

“…Therefore, the Test Suite Reduction (TSR) process is of great importance, contributing to the reduction of time and costs in executing test suites for complex software by minimizing the number of test cases to be executed. …”
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Drug-Drug interactions prediction calculations between cardiovascular drugs and antidepressants for discovering the potential co-medication risks. by Tie Hua Zhou, Tian Yu Jin, Xi Wei Wang, Ling Wang

“…Predicting Drug-Drug Interactions (DDIs) enables cost reduction and time savings in the drug discovery process, while effectively screening and optimizing drugs. …”
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Road Detection, Monitoring, and Maintenance Using Remotely Sensed Data by Nicholas Fiorentini, Massimo Losa

“…The ten papers published in this issue explore diverse methodologies, including novel deep learning algorithms for road inventory, novel methods for pavement crack detection, AI-enhanced ground-penetrating radar (GPR) imaging for subsurface assessment, high-resolution optical satellite imagery for unpaved road assessment, and aerial orthophotography for road mapping. Collectively, these studies demonstrate the transformative potential of remotely sensed data for improving the efficiency, accuracy, and scalability of road monitoring and maintenance processes. …”
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Screen Printing for Energy Storage and Functional Electronics: A Review by Juan C. Rubio, Martin Bolduc

“…Parallel improvements in substrate engineering such as polyimide, PET, TPU, cellulose and elastomers demonstrate the technique’s capacity to accommodate complex geometries for wearable, medical and industrial applications while supporting environmentally responsible material choices such as water-borne binders and bio-based solvents. By mapping two decades of developments across energy-storage layers and functional electronics, the article identifies the key process elements, recurring challenges and emerging sustainable practices that will guide future optimization of screen-printing materials and protocols for high-performance, customizable and eco-friendly flexible devices.…”
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Lightweight cross domain authentication for satellite internet by CHEN Cao, LI Fenghua, YU Mengge, GUO Chao, LI Zifu, GENG Kui

“…Second, a cross-domain identity mapping protocol was developed to resolve trusted identity migration across heterogeneous networks. …”
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Integrating Environmental Sensing into Cargo Bikes for Pollution-Aware Logistics in Last-Mile Deliveries by Leonardo Cameli, Margherita Pazzini, Riccardo Ceriani, Valeria Vignali, Andrea Simone, Claudio Lantieri

“…Moving in this direction, this research aims to investigate the use of LCSs to monitor particulate PM2.5 and PM10 levels and map them over delivery ride paths. The calibration process took 49 days of measurements into account, spanning different seasonal conditions (from May 2024 to November 2024). …”
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Lightweight Apple Leaf Disease Detection Algorithm Based on Improved YOLOv8 by LUO Youlu, PAN Yonghao, XIA Shunxing, TAO Youzhi

“…The results showed that the improved model could maintain a high detection accuracy in complex and variable scenes, with mAP50 and mAP50:95 increasing by 1.7% and 1.2%, respectively, compared to the original model. …”
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Biodiversity monitoring with intelligent sensors: An integrated pipeline for mitigating animal-vehicle collisions by Sylvain Moulherat, Léa Pautrel, Guillaume Debat, Marie-Pierre Etienne, Lucie Gendron, Nicolas Hautière, Jean-Philippe Tarel, Guillaume Testud, Olivier Gimenez

“…Then, the processed data are fed to an abundance model able to map species relative abundance around the TI as a proxy of the collision risk. …”
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372 Defining and designing a remote monitoring tool for CAR T-cell therapy patients by Amena Ali, Chimaobi Oyiliagu

“…The app was designed through process mapping to combine data from self-reports and wearable devices, such as the Garmin smartwatch. …”
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Comprehensive Performance-Oriented Multi-Objective Optimization of Hemispherical Resonator Structural Parameters by Xiaohao Liu, Xin Jin, Chaojiang Li, Yumeng Ma, Deshan Xu, Simin Guo

“…The comprehensive, performance-oriented multi-objective optimization method for the structural parameters of hemispherical resonators proposed in this paper offers a cost-effective approach to high-performance design and optimization, and it can also be applied to other manufacturing processes under specific conditions.…”
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Study on lean production management of new energy vehicle body painting based on the dual perspectives of digital transformation and VSM. by Qin Yang, Xizhe Wang, Hu Wu

“…Based on the value stream mapping (VSM) analysis technology, the current situation of the value stream of the body spraying process of TJ Automobile Manufacturing Company is analyzed, the problem of waste in the production process of automobile body painting system affected by Eliminate Combine Rearrange Simplify (ECRS)a four-step problem-solving technique was studied and analyzed, a new method for the application of value stream graph analysis technology in the digital transformation environment is proposed, and a suitable production improvement scheme for the body painting system is formulated by using the new method, which increases the value-added operation time of the painting production process by 9.5% and reduces the non-value-added operation time by 12.5%. …”
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The TDGL Module: A Fast Multi-Scale Vision Sensor Based on a Transformation Dilated Grouped Layer by Leilei Xie, Fenghua Zhu, Zhixue Wang

“…These improvements enable the network to distinguish features at different scales effectively while optimizing spatial information processing and reducing computational costs. To validate its effectiveness, we integrate the TDGL module into the backbone of several YOLO models, forming the TDGL Net feature extractor. …”
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Global Single-Shot Indoor Localization of Autonomous Flight Robots With Minimal Sensor Configuration by Timm von Bergen, Sascha Rock

“…Existing localization solutions are often unsuitable for intralogistic applications because of to their weight, energy consumption, or infrastructure costs. The proposed system achieves global localization with minimal sensing hardware. …”
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AHN-YOLO: A Lightweight Tomato Detection Method for Dense Small-Sized Features Based on YOLO Architecture by Wenhui Zhang, Feng Jiang

“…To effectively identify fine-grained disease features in complex scenarios while reducing deployment and training costs, this paper proposes a novel network architecture named AHN-YOLO, based on an improved YOLOv11-n framework that demonstrates balanced performance in multi-scale feature processing. …”
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The use of ASTER and landsat remote sensing data for exploring hydrothermal mineral in Arabian-Nubian Shield by Abdelkareem M., Abdalla F., Yousef S.

“…Overall, integrating multi-spectral data through overlay analysis techniques can provide valuable information about hydrothermal mineral resources in an accurate and cost-effective approach. © 2024 The Authors…”
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An Urban Rail Signal Fault Diagnosis System Based on Knowledge Model by YANG Jiang, YANG Yibin, OU Shengfen, DENG Yongqi

“…However, urban rail signal system has a large variety of faults, complex diagnosis and analysis logic, customized development of fault diagnosis procedures for different scenarios can not, quickly respond to the needs of operation and maintenance, and the cost is high. To solve this problem, this paper develops an information-based and platform-based urban rail signal fault diagnosis system based on knowledge model to realize signal system fault knowledge modeling, fault diagnosis semantic correlation and fault diagnosis process modeling. …”
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Electrode contact estimation based on preoperative versus postoperative imaging as a basis for anatomy-based fitting by Schreier Andrea, Draut Sarah, Stihl Clemens, Molenda Carmen, Neuling Maike, Müller Philipp, Müller Franziska, Stöcklein Sophia, Simon Florian, Schrötzlmair Florian, Hempel John Martin, Müller Joachim, Polterauer Daniel

“…Moreover, it was demonstrated that patients preferred anatomy-based fitting maps based on preoperative imaging (preop ABF) over CBF. …”
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