GNN-RMNet: Leveraging graph neural networks and GPS analytics for driver behavior and route optimization in logistics. by Eman Ali Aldhahri, Abdulwahab Ali Almazroi, Monagi Hassan Alkinani, Mohammed Alqarni, Elham Abdullah Alghamdi, Nasir Ayub

“…Traditional techniques struggle to capture the dynamic spatiotemporal relationships that define driver actions, route deviations, and operational inefficiencies in big fleets. This paper introduces GNN-RMNet, a hybrid deep learning system that combines GNN, ResNet, and MobileNet for interpretable, scalable, and efficient driver behavior profiling and route anomaly detection. …”
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Treatment of stable and unstable intertrochanteric fractures with selfdynamisable internal fixator (concept of double dynamisation) by Kostić Igor M., Mitković Milan M., Mitković Milorad B.

“…Monitoring of the patients after the operation was carried out clinically and radiographically for a period of three to six months in all the patients, whereas a 2-year follow-up was conducted in 176 (71.2%) patients. …”
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Characteristic Impedance Modeling of Nuclear Power Instrumentation and Control Cable Shield Breakage by Hua Tu, Chao Peng, Yanyi Chen, Lixing Li, Honglei Deng, Gang Liu

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Development of a Thermal Infrared Network for Volcanic and Environmental Monitoring: Hardware Design and Data Analysis Software Code by Fabio Sansivero, Giuseppe Vilardo, Ciro Buonocunto

“…The procedures implemented in the RMS for managing TIR sensor operations, acquiring environmental data, and transmitting data remotely are thoroughly discussed, along with the technical solutions adopted. …”
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Landslide Identification in UAV Images Through Recognition of Landslide Boundaries and Ground Surface Cracks by Zhan Cheng, Wenping Gong, Michel Jaboyedoff, Jun Chen, Marc-Henri Derron, Fumeng Zhao

“…In this paper, an image-analysis-based landslide identification framework is developed to detect the landslides in UAV images by recognizing the landslide boundaries and ground surface cracks. …”
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Could Assortment Rationalisation Help Reduce Food Waste in Grocery Stores? by Elvira Sáez-González, Juan Carlos Gázquez-Abad

“…Nowadays, sustainable development and waste management are the topics on which academia is focusing. …”
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Secure Indoor Water Level Monitoring with Temporal Super-Resolution and Enhanced Yolov5 by Sui Guo, Jiazhi Huang, Yuming Yan, Peng Zhang, Benhong Wang, Houming Shen, Zhe Yuan

“…Ensuring secure and efficient water level monitoring is critical for the intelligent management of hydropower plants, especially in challenging indoor environments. …”
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Phytophthora spp. diversity in commercial nursery stocks shown through examination of plant health practices for growers and traders of ornamental plants by Duccio MIGLIORINI, Francesco PECORI, Giulia ARATI, Nicola LUCHI, Emanuele BEGLIOMINI, Alessandro GNESINI, Luisa GHELARDINI, Alberto SANTINI

“…This study showed high incidence of Phytophthora in the commercial nursery, and associated risk of spread of these pathogens within and outside nursery operations. Lack of appropriate disease management probably increases occurrence of these pathogens.…”
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Development of a 5G-Connected Ultra-Wideband Radar Platform for Traffic Monitoring in a Campus Environment by David Martín-Sacristán, Carlos Ravelo, Pablo Trelis, Miriam Ortiz, Manuel Fuentes

“…A preliminary evaluation conducted on a single radar during peak-hour traffic on a double-lane road, representing a challenging scenario, indicated a high detection rate of 94.81%, a low false detection rate of 1.02%, a high classification accuracy of 97.29%, and a high direction accuracy of 99.66%. …”
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Performance of electrochemical aptasensor as antigen test in clinical samples for early diagnosis of leptospirosis by Uraiwan Kositanont, Benchaporn Lertanantawong, Kanitha Patarakul, Sirinapa Sripinitchai, Charin Thawornkuno, Thanyarat Chaibun, Chahya Kreangkaiwal, Wassa Waiwinya, Chamras Promptmas, Chatchawan Srisawat

“…Notably, in patients with high MAT titers, the aptasensor outperformed qPCR in detection rates (100% vs. 25%). These findings indicate that the aptasensor assay is a highly reliable and effective antigen-based diagnostic tool for early leptospirosis detection, making it suitable for both low- and high-prevalence settings.…”
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GAN-enhanced deep learning for improved Alzheimer's disease classification and longitudinal brain change analysis by Purushottam Pandey, Surbhi Bhatia Khan, Surbhi Bhatia Khan, Surbhi Bhatia Khan, Jyoti Pruthi, Eid Albalawi, Ali Algarni, Ahlam Almusharraf

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The Use of Earth Observation Data for Railway Infrastructure Monitoring—A Review by Milan Banic, Danijela Ristic-Durrant, Milos Madic, Alina Klapper, Milan Trifunovic, Milos Simonovic, Szabolcs Fischer

“…It provides the first in-depth analysis of EO techniques, primarily examining the use of synthetic aperture radar (SAR) and optical satellite data for key applications for infrastructure managers and railway operators, such as assessing track stability, detecting deformations, and monitoring surrounding environmental conditions. …”
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Socializing AI: Integrating Social Network Analysis and Deep Learning for Precision Dairy Cow Monitoring—A Critical Review by Sibi Chakravathy Parivendan, Kashfia Sailunaz, Suresh Neethirajan

“…We clarify how these methodological innovations directly impact practical farming by enhancing monitoring precision, herd management, and welfare outcomes. Ultimately, this synthesis advocates for strategic, empathetic, and ethically responsible precision dairy farming practices, significantly advancing both dairy cow welfare and operational effectiveness.…”
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Lateral-flow device for the diagnosis of invasive aspergillosis: a systematic review and diagnostic meta-analysis by Yuqing Fan, Xue Shang, Yan Wang, Yinghua zhang, Xiuxia Li, Kehu Yang, Haidi Lv, Kangle Guo

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Design of and Experimentation on an Intelligent Intra-Row Obstacle Avoidance and Weeding Machine for Orchards by Weidong Jia, Kaile Tai, Xiang Dong, Mingxiong Ou, Xiaowen Wang

“…Based on the current issues of difficulty in clearing intra-row weeds in orchards, inaccurate sensor detection, and the inability to adjust the row spacing depth, this study designs an intelligent intra-row obstacle avoidance and weeding machine for orchards. …”
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Fortifying IoT Infrastructure Using Machine Learning for DDoS Attack within Distributed Computing-based Routing in Networks by Sharaf Aldeen Abdulkadhum Abbas, Abdullahi Abdu Ibrahim

“…Their effectiveness is limited by the attacks being controlled by the center, the limited data transmission capacity and also the viruses' ability to operate under-the-roof while using the mobile nodes which helps them move covertly. …”
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Machine learning for clustering and classification of early knee osteoarthritis using single-leg standing kinematics by Ui-Jae Hwang, Kyu Sung Chung, Sung-Min Ha

“…Objective Detection of early osteoarthritis (EOA) of the knee is crucial for effective management and improved outcomes. …”
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Bridging the Gap: A Review of Machine Learning in Water Quality Control by Herlina Abdul Rahim, Nur Athirah Syafiqah Noramli, Indrabayu

“…ML-driven solutions, including LSTM networks and random forest models, enable real-time anomaly detection (e.g., 85% accurate algal bloom prediction 7 days in advance) and operational optimization (15% cost reduction in wastewater treatment). …”
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Application of Shear Wave Elastography in the Diagnosis and Evaluation of Cervical Cancer by Lina Cao, Peipu Shen, Min Wei, Wensheng Du, Xiaoyuan Lu

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Comprehensive review and updated analysis of DNA methylation in hepatocellular carcinoma: From basic research to clinical application by Lin Su, Jiawen Bu, Jiahui Yu, Mila Jin, Guanliang Meng, Xudong Zhu

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