LIM: Lightweight Image Local Feature Matching by Shanquan Ying, Jianfeng Zhao, Guannan Li, Junjie Dai

“…Our design emphasizes robustness to extreme viewpoint and rotational variations, making it suitable for real-world deployment scenarios. …”
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Catalytic Hydrothermal Liquefaction of Artichoke Residues (Cynara Scolymus L.) to Valuable Chemicals by Levent Ballice, Mithat Yüksel, Mehmet Sağlam, Dilek Selvi Gökkaya

“…Evolution of liquid parts and their variations with respect to reaction parameters were determined using HPLC via related analysis…”
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A Comparative Evaluation of Bubble Breath Play Therapy and Hand-held Video Gaming Used in Reducing Dental Anxiety among Children by Shital Kiran Davangere Padmanabh, Omkar R Bhise

“…Aim: To evaluate the effectiveness of bubble breath therapy and hand-held video gaming in reducing the anxiety in children aged 6–12 years. Materials and methods: Randomized control trial was conducted on 75 healthy children aged 6–12 years. …”
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Discriminative Cross-Modal Attention Approach for RGB-D Semantic Segmentation by emad mousavian, Danial Qashqai, Shahriar B. Shokouhi

“…Given the importance of safety in autonomous driving, existing methods are constantly striving to improve accuracy and reduce error. …”
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A Unified Surrogate Framework for Data-Driven Reliability Analysis of Mechanical Systems from Low to Multi-DOF by Lun Shao, Alexandre Saidi, Abdel-Malek Zine, Mohamed Ichchou

“…The methodology integrates four main components: (i) probabilistic uncertainty modeling for mass, damping, and stiffness, (ii) Latin Hypercube Sampling (LHS) to efficiently explore parameter variations, (iii) Monte Carlo simulation (MCS) for estimating failure probabilities under stochastic excitations, and (iv) machine learning models, including Random Forest (RF), Gradient Boosting (GB), Extreme Gradient Boosting (XGBoost), and Neural Networks (NNs), to predict structural responses and failure probabilities. …”
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Towards propagation of epidermal cells for wound repair: glass, as cell culture substrate, enhances proliferation and migration of human keratinocytes by Hady Shahin, Hady Shahin, Hady Shahin, Ingrid Steinvall, Ingrid Steinvall, Folke Sjöberg, Folke Sjöberg, Moustafa Elmasry, Moustafa Elmasry, Ahmed El-Serafi, Ahmed El-Serafi

“…There is an unmet need for efficient xeno-free cell expansion approaches to propagate human keratinocytes as regenerative therapy.MethodsPrimary human keratinocytes and HaCaT cells were cultured on glass, plastic, and animal-derived collagen I matrix for 10 days. …”
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Urban tree health diagnosis approach based on thermal image and deep learning model by Le Ngoc Thien, Vuong Nhi Bui, Nguyen Khoa Nguyen, Gia Khang Pham Xuan, Gia Minh Nguyen

“…Monitoring the health of urban trees is essential for maintaining a sustainable and resilient urban ecosystem. Traditional methods of manual inspection are labour-intensive and prone to errors. …”
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Vehicle Localization in IoV Environments: A Vision-LSTM Approach with Synthetic Data Simulation by Yi Liu, Jiade Jiang, Zijian Tian

“…Traditional deep learning-based localization methods face persistent challenges in real-world vehicular environments, including occlusion, lighting variations, and the prohibitive cost of collecting diverse real-world datasets. …”
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Finite-element analysis on the parameters influencing the brittle crack arrest in steel plates by Jeongung Park, Gyubaek An

“…The arrest performance is typically assessed by determining the brittle crack arrestability value (Kca) through large-scale experimental methods. However, due to the high cost, time, and equipment demands of such tests, alternative approaches using small-scale specimens and numerical simulations have been actively investigated to estimate Kca more efficiently. …”
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Performance Analysis of Resampling Techniques for Overcoming Data Imbalance in Multiclass Classification by Anggit Larasati, Sugiyarto Surono, Aris Thobirin, Deshinta Arrova Dewi

“…This research shows that the performance of MobileNetV2, which implements the bootstrap-based random oversampling technique, has the highest accuracy compared to random undersampling and no resampling methods. The oversampling technique with the RMSprop optimizer produced the highest accuracy, namely 95%. …”
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Investigation into forces on offshore piles with constant and linearly varying diameters using CFD and extended Morison equation under separate wave and current loadings by Kemal Bal, Deniz Bayraktar Bural

“…These considerations support the development of enhanced design methods and optimization strategies, leading to safer and more efficient offshore structures.…”
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Transferring CLIP for visual grounding in remote sensing images by Linlin Liang, Yizhuo Quan, Chengbo Wang, Yuanfei Chang, Yanyou Qiao

“…This effectively enhances the feature representation of target objects, thereby mitigating issues such as scale variations and cluttered backgrounds in remote sensing imagery. …”
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Comparing immobilisation devices in gynaecological external beam radiotherapy: improving inter‐fraction reproducibility of pelvic tilt by Shimon Prasad, Linda J. Bell, Benjamin Zwan, Florence Ko, Tayla Blackwell, Kevin Connell, Cameron Stanton, Meegan Shepherd, John Atyeo, Mark Stevens, Marita Morgia

“…Three patients required a re‐scan for body contour variations (two using BodyFIX and one with the BB). …”
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Fifty years of geophysical researches of glaciers in Institute of Geography, the Russian Academy of Sciences, 1966–2016 by V. M. Kotlyakov, Yu. Ya. Macheret

“…Basic results of these studies are the following: (1) the new data on the ice thicknesses, ice volumes, subglacial relief, internal structure, and thermal state of the glaciers were obtained; (2) the two‑layered (polythermal) glaciers consisting of the upper layer of cold ice and the lower layer of temperate water‑filled ice had been revealed in Svalbard for the first time; spatial distribution of cold, polythermal and temperate glaciers had been determined; (3) the evidences were obtained that measured changes in thickness of the upper cold ice layer in polythermal glaciers can be used to estimate the long‑period variations of regional climates and serve as regional paleothermometers; (4) methods for estimating the water content in temperate and polythermal glaciers from the RES data were developed; and its space‑time variations in temperate ices of the Svaldbald glaciers were estimated since even small water content inside of them can noticeably change their dynamic behavior; (5) methods for estimating the ice volume within glaciers in large regions of mountain and polar glaciations had been created; the ice storages were estimated in Svalbard, Franz Josef Land, Dzhungrsky Alatau, the Great Caucasus, and Mt. …”
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Advances in Federated Learning: Applications and Challenges in Smart Building Environments and Beyond by Mohamed Rafik Aymene Berkani, Ammar Chouchane, Yassine Himeur, Abdelmalik Ouamane, Sami Miniaoui, Shadi Atalla, Wathiq Mansoor, Hussain Al-Ahmad

“…Future research directions highlight the development of adaptive learning methods, robust privacy measures, and hybrid architectures to fully leverage FL’s potential in driving innovative, secure, and efficient intelligence for the next generation of smart buildings.…”
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A Lightweight Transformer-Based Spatiotemporal Analysis Prediction Algorithm for High-Dimensional Meteorological Data by Yinghao Tan, Junfeng Wu, Yihang Liu, Shiyu Shen, Xia Xu, Bin Pan

“…Apart from slow conventional numerical weather prediction methods, recently developed deep learning methods often fail to fully integrate spatial information of the high-dimensional data and require a significant amount of computational resources. …”
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Prevalence and Species Identifications of Camel Ixodid Ticks in Habru District, North Wollo Zone, Northeast Ethiopia by Tsedalu Yirsa, Yidersal Tizazu, Abebe Berihun, Asres Zegeye

“…Conclusions Generally, these ticks are well‐known for generating enormous economic losses by transmitting various infectious diseases and disrupting animal health and output. Thus, efficient tick control methods should be adopted in the area.…”
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Deep Ensembling of Multiband Images for Earth Remote Sensing and Foramnifera Data by Loris Nanni, Sheryl Brahnam, Matteo Ruta, Daniele Fabris, Martina Boscolo Bacheto, Tommaso Milanello

“…The ensemble learning framework harnesses these variations to improve classification accuracy, surpassing other advanced methods. …”
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LS-MambaNet: Integrating Large Strip Convolution and Mamba Network for Remote Sensing Object Detection by Lingyu Yan, Zijian He, Zhiqi Zhang, Guangqi Xie

“…However, in the presence of targets with high aspect ratios and significant scale variations in remotely sensed images, existing methods prefer CNN or transformer architectures but suffer from the limitations of overly fixed receptive fields or excessive computational complexity. …”
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Identification of green leafhoppers (cicadellidae) in vineyards through an automatic image acquisition system from yellow sticky traps associated with deep-learning by Proença Maria da Conceição, Rebelo Maria Teresa, Valent Riccardo, Mateus Rebeca, Gaspar Pedro Diniz, Lopes Carlos Manuel, Franco José Carlos

“…Conventional insect identification and counting methods can be time-consuming and labor-intensive, urging the need for efficient and accurate automated solutions. …”
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