Collaborative Coverage Strategy Using Multiple UAVs-UGVs in CRN Mapping by Agung Nugroho Jati, Bambang Riyanto Trilaksono, Egi Muhammad Idris Hidayat, Widyawardana Adiprawita

“…Multiple Unmanned Aerial Vehicles (UAVs) and Unmanned Ground Vehicles (UGVs) are deployed strategically within partitioned regions, determined through weighted Voronoi tessellation. This method integrates both the robots’ internal parameters and environmental factors. …”
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Malaria burden and social determinants in Cameroon by Jude Tsafack Zefack, Fuanyi Awatboh, Brenda Mbouamba Yankam, Desmond Shu Che, Adanze Nge Cynthia, Odette Dzemo Kibu, Faustus Ajamah, Cynthia-Edith Ara-Nabangi Ndive, Patience Foumene Tiayah

“…Additionally, seasonal and geographical variations also influence disease transmission. Conclusion Addressing malaria in Cameroon necessitates a multi-sectoral approach that integrates enhancements in education, healthcare accessibility, and environmental management. …”
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Improving Moving Insect Detection with Difference of Features Maps in YOLO Architecture by Angel Gomez-Canales, Javier Gomez-Avila, Jesus Hernandez-Barragan, Carlos Lopez-Franco, Carlos Villaseñor, Nancy Arana-Daniel

“…Moreover, under simulated illumination shifts using HSV transformations, our method exhibits robustness to these variations. These results highlight the potential of the motion module as a practical and effective tool for improving insect detection in dynamic and unpredictable field scenarios.…”
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De novo establishment of an ex vivo culture for living myocardial slices applying a microphysiological system – MPSlms by Jordan Maria, Schmieder Florian, Waleczek Florian J. G., Polk Christoph, Stucki-Koch Angelika, Philipp Jürgen, Dietzel Leila, Clement Alexander, Behrens Stephan, Thum Thomas, Sonntag Frank, Fiedler Jan

“…The contractile performance of cardiomyocytes was quantified by applying optical mapping of movement detection, which revealed precise and local variations in contraction within one LMS.…”
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From 2D to 3D Urban Analysis: An Adaptive Urban Zoning Framework That Takes Building Height into Account by Tao Shen, Fulu Kong, Shuai Yuan, Xueying Wang, Di Sun, Zongshuo Ren

“…Finally, we proposed a density-based clustering method that integrates the multiscale urban analysis with parameter adaptation to distinguish urban spatial features at different scales, thereby achieving multiscale urban regional delineation. …”
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Evaluation and downstream effects of household and industrial effluents discharge on some physicochemical parameters and surface Water Quality Index of River Mahanadi, Odisha, Indi... by Abhijeet Das

“…The R2 value of 0.78–0.99 in calibration and 0.79–0.97 in validation model, indicated by PLSR method, which indicates that the water parameters as well as indexing WQ methods explains around more than 90% of the variability. …”
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Cross-View Geo-Localization: A Survey by Abhilash Durgam, Sidike Paheding, Vikas Dhiman, Vijay Devabhaktuni

“…This paper provides a thorough survey of cutting-edge methodologies, techniques, and associated challenges that are integral to this domain, with a focus on feature-based and deep learning strategies. …”
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Self-Supervised Drift-Resilient Classification for Time Series Industrial Anomaly Detection by Myung-Kyo Seo, Byeong Hoon Yoon, Junseung Ryu, Hyung Ju Hwang

“…Unlike conventional fault classification approaches that identify predefined defect types, our model focuses on detecting subtle, evolving anomalies in time-series vibration data. The framework integrates advanced statistical and spectral feature extraction with a dynamic, rolling-window-based data grouping strategy, enabling the model to adapt robustly to temporal variations. …”
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Statistical Analysis of Unique Web Application Vulnerabilities: A Quantitative Assessment of Scanning Tool Efficiency by Zogaj Gani, Ismaili Florie, Idrizi Ermira, Luma Artan

“…Additionally, the analysis offers comparative insights into the performance variations among these tools, highlighting their strengths and limitations. …”
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Comparative Analysis on Modelling Approaches for the Simulation of Fatigue Disbonding with Cohesive Zone Models by Johan Birnie, Maria Pia Falaschetti, Enrico Troiani

“…However, certifying these joints is challenging due to unreliable methods for assessing their strength and the development of predictive models for fatigue-driven disbonding remains an ongoing effort. …”
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LLMs for product classification in e-commerce: A zero-shot comparative study of GPT and claude models by Konstantinos I. Roumeliotis, Nikolaos D. Tselikas, Dimitrios K. Nasiopoulos

“…Traditional product classification methods, which depend heavily on labeled data and manual effort, struggle with scalability and adaptability to diverse product categories. …”
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A Novel Grey Prediction Model: A Hybrid Approach Based on Extension of the Fractional Order Discrete Grey Power Model with the Polynomial-Driven and PSO-GWO Algorithm by Baohua Yang, Xiangyu Zeng, Jinshuai Zhao

“…Traditional forecasting models often struggle to accurately capture the complex patterns of change within the data. Methods: To this end, this study introduces a novel polynomial-driven discrete grey power model (<i>PFDPGM</i>(1,1)) that includes time perturbation parameters, enabling a flexible representation of complex variation patterns in the data. …”
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A Multi-Strategy Visual SLAM System for Motion Blur Handling in Indoor Dynamic Environments by Shuo Huai, Long Cao, Yang Zhou, Zhiyang Guo, Jingyao Gai

“…In this paper, a novel visual SLAM algorithm is proposed in which various approaches are integrated to obtain more reliable semantic information, consequently reducing the impact of motion blur on visual SLAM systems. …”
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Adaptation and Grain Yield Stability Analysis of Winter Wheat Cultivars with and Without Fungicides Treatment from National Variety Trials in Sweden by Admas Alemu, Pawan K. Singh, Aakash Chawade

“…The multi-environment evaluation of wheat genotypes for grain yield is an integral part of germplasm enhancement since it plays a pivotal role in sustainable production. …”
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Anomaly Detection on Laminated Composite Plate Using Self-Attention Autoencoder and Gaussian Mixture Model by Olivier Munyaneza, Jung Woo Sohn

“…To address this, we suggested an unsupervised anomaly detection framework that integrates a self-attention autoencoder with a Gaussian mixture model (SAE-GMM). …”
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Innovative multi-class segmentation for brain tumor MRI using noise diffusion probability models and enhancing tumor boundary recognition by Zengxin Liu, Caiwen Ma, Wenji She, Meilin Xie

“…The proposed algorithm integrates diffusion models, capitalizing on their efficacy in capturing microstructural details, emphasizing the intricacies of human anatomy and tissue variations that challenge segmentation algorithms. …”
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Installation Design and Efficiency Evaluation of an EV Transform Powertrain and a 3.3 kW Multi-Charging System Driven by a 30 kW Permanent-Magnet Synchronous Motor by Pataphiphat Techalimsakul, Arnon Niyomphol

“…The process involves integrating the PMSM with the vehicle’s existing transmission system. …”
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Enhancing semi‐supervised contrastive learning through saliency map for diabetic retinopathy grading by Jiacheng Zhang, Rong Jin, Wenqiang Liu

“…An innovative semi‐supervised fundus image DR grading framework is proposed, employing a saliency estimation map to bolster the model's perception of fundus structures, thereby improving the differentiation between lesions and healthy regions. By integrating semi‐supervised and contrastive learning, the model's ability to recognise inter‐class and intra‐class variations in DR grading is enhanced, allowing for precise discrimination of various lesion features. …”
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Goistrat: gene-of-interest-based sample stratification for the evaluation of functional differences by Carlos Uziel Pérez Malla, Jessica Kalla, Andreas Tiefenbacher, Gabriel Wasinger, Kilian Kluge, Gerda Egger, Raheleh Sheibani-Tezerji

“…Conclusion Our comprehensive approach provides a novel tool to identify disease-relevant functions of genes of interest (GOI) in large datasets. This integrated approach offers a valuable framework for understanding the role of the expression variation of a GOI in complex diseases and for informing on targeted therapeutic strategies.…”
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A case study in the use of audio-visual media for teaching listening skills in junior high school EFL classrooms: Perceived effectiveness and challenges by Ernita Daulay

“…However, traditional teaching methods often fail to address learners' challenges effectively, creating a gap in instructional approaches that support listening comprehension. …”
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