Optimization of Fusion Method for GF-2 Satellite Remote Sensing Images based on the Classification Effect by Jintong Ren, Wunian Yang, Xin Yang, Xiaoyu Deng, He Zhao, Fang Wang, Lei Wang

“…The results showed that: (1) The best visual effect of GF-2 fusion image was the Pansharp fusion image; The quantitative evaluation results showed that the brightness and information retention of Gram-Schmidt fusion image was the best，while the Pansharp fusion image had the highest correlation with the original multi-spectral image; the NNDiffuse fusion image had the highest clarity, and the PCA fusion image quantitative evaluation effect was the worst; (2) According to the applicability analysis of the fusion images based on different classification algorithms with features information extraction, it could be seen that the NNDiffuse fusion method was used for the fusion of GF-2 image data, and the classification of the fusion images was more suitable by using KNN or Random Trees classification algorithm.…”
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Nucleosome patterns in four plant pathogenic fungi with contrasted genome structures by Clairet, Colin, Lapalu, Nicolas, Simon, Adeline, Soyer, Jessica L., Viaud, Muriel, Zehraoui, Enric, Dalmais, Berengère, Fudal, Isabelle, Ponts, Nadia

“…We combined MNase-seq and RNA-seq analyses to concomitantly map nucleosome-rich and transcriptionally active regions during fungal growth in axenic culture; we developed the MNase-seq Tool Suite (MSTS) to analyse and visualise data obtained from MNase-seq experiments in combination with other genomic data and notably RNA-seq expression data. …”
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The effect of silicone oil on the anatomical and functional parameters of the retina during surgery of regmatogenic retinal detachment by V. V. Neroev, O. V. Zaytseva, A. I. Ushakov

“…The literature review analyzes the published data on the effect of tamponade SO on the retina and the function of central vision in RRD surgery: visual acuity, indicators of light and color sensitivity, data of electrophysiological test results. …”
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Shower–IoT: An Internet of Things System for Monitoring Electric Showers by Helder Holanda Prezotto, Natássya Barlate Floro da Silva, Lucas Dias Hiera Sampaio, Rogério Santos Pozza

“…The results demonstrate that our system can monitor an electric shower integrated with cloud services, allowing the users to visualize its behavior in real time and detect possible failures by comparing sensor data from previous evaluations.…”
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Research on Android malware detection method based on multimodal feature fusion by Ge Jike, He Mingkun, Chen Zuqin, Ling Jin, Zhang Yifan

“…Firstly, the permission information is encoded and the Dalvik bytecode data is visualized as a “vector” RGB image. Then, a feedforward neural network and a convolutional neural network are constructed to extract features from the data represented by text and image modalities, respectively. …”
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Twenty-five year trend in antipsychotic medication prescribing in England: challenges and opportunities by Hannah Newman, David Branford, Richard Laugharne, Richard Byng, Rohit Shankar

“…Aims To examine the change in the number of community prescriptions and corresponding costs for antipsychotics per head of population over 25 years (1998–2022) in England. Method The data for 1998–2022 were obtained from two separate resources from the OpenPrescribing database: from 1998 to 2016 from their long-term trends data-set; and for 2017–2022 from the monthly medication prescribing data. …”
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Detecting and routing of dust event using remote sensing and numerical modeling in Isfahan Province by Mehdii Jafari, Gholamreza Zehtabian, Hasan Ahmadi, Tayebeh Mesbahzadeh, Ali Akbar Norouzi

“…Material and methods: For data analysis of dust, data from dust collecting data was collected from the selected station in the study area with a suitable statistical period from the meteorological organization on a daily basis for 8 hours, in the form of special codes for the period of 2010 to 2013, which were processed and analyzed using statistical methods. …”
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Early breast cancer detection in CT scans using convolutional neural bidirectional feature pyramid network by Tahani Jaser Alahmadi, Adeel Ahmed, Amjad Rehman, Abeer Rashad Mirdad, Bayan Al Ghofaily, Shehryar Ali

“…While mammography is a widely used diagnostic tool, computed tomography (CT) scans are increasingly being explored for detecting breast cancer due to their high-resolution imaging and ability to visualize tissue in 3D. Despite the potential of CT scans in visualizing breast tissue in 3D with high resolution, extracting meaningful patterns from these scans is difficult due to the complex and nonlinear nature of the tissue features. …”
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Strategi komunikasi halal Wedding Organizer dalam membangun Brand Identity terhadap gen m by Hanif Fawwaz Mahasin, Benni Setiawan

“…Penelitian ini menggunakan pendekatan kualitatif dengan jenis penelitian deskriptif. Data utama diperoleh dari hasil wawancara kepada owner, crew freelance, dan client Halal Wedding Organizer. …”
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Deep Multimodal-Interactive Document Summarization Network and Its Cross-Modal Text–Image Retrieval Application for Future Smart City Information Management Systems by Wenhui Yu, Gengshen Wu, Jungong Han

“…Even against strong extractive methods like TextRank (Rouge-1 30.93) and LexRank (Rouge-1 29.63), our approach shows gains of over 15 points in Rouge-1, underlining its effectiveness in capturing both textual and visual semantics. These results suggest significant potential for smart city applications—such as accident scene documentation and automated environmental monitoring summaries—where rapid, accurate processing of urban multimodal data is essential.…”
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Sleep, physical activity, sedentary behavior, and risk of cataract: a cross-sectional and prospective study from UK Biobank by Yu Peng, Yuzhou Zhang, Ka Wai Kam, Mary Ho, Sunny Au, Xiujuan Zhang, Mandy PH Ng, Patrick Ip, Alvin Young, Chi Pui Pang, Clement C. Tham, Li Jia Chen, Jason C. Yam

“…Cataract cases were identified through hospital inpatient records and self-reported data. Baseline data on sleep, PA, and SB were collected via touchscreen questionnaires. …”
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Leveraging Multi-Modality and Enhanced Temporal Networks for Robust Violence Detection by Gwangho Na, Jaepil Ko, Kyungjoo Cheoi

“…In this paper, we present a novel model that enhances performance by extending the dual-modality TEVAD model—originally leveraging visual and textual information—into a multi-modal framework that integrates visual, audio, and textual data. …”
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Comparative analysis of interpolation methods for rainfall mapping in the Faria catchment, Palestine by Sameer Shadeed, Anan Jayyousi, Abdelhaleem Khader, Christian Chwala, Harald Kunstmann

“…The availability of rainfall data is essential for the prediction of extreme rainfall events, hydrological modeling, and the design of water resources systems. …”
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Magnifier: A Multigrained Neural Network-Based Architecture for Burned Area Delineation by Daniele Rege Cambrin, Luca Colomba, Paolo Garza

“…In crisis management and remote sensing, image segmentation plays a crucial role, enabling tasks like disaster response and emergency planning by analyzing visual data. Neural networks are able to analyze satellite acquisitions and determine which areas were affected by a catastrophic event. …”
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Probabilistic estimation of model parameters through grid search approaches: applications to geomagnetic anomaly source estimations by Hiroshi Ichihara, Tatsu Kuwatani, Noriko Tada, Kenji Nagata

“…Abstract Model parameters, extracted from observed data that inherently contain uncertainties, necessitate estimation as probability distributions. …”
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Leveraging graph neural networks and gate recurrent units for accurate and transparent prediction of baseball pitching speed by Chen Yang, Pengfei Jin, Yan Chen

“…Abstract Long short-term memory (LSTM) networks are widely used in biomechanical data analysis but have the significant limitations in interpretability and decision transparency. …”
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Bias-aware degradation models for reinforced concrete bridges based on XAI by Francesca Marsili, Filippo Landi, Rade Hajdin, Sylvia Kessler

“…Bridge management systems store condition data collected during visual inspections of bridges. …”
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Teachers’ barriers in implementing the revised curriculum for deaf learners: The case of two special schools in Northern Namibia by Isidor Haufiku, Hilya Tulipomwene Shuulinawa Nghitoolwa, James Abah

“…Quantitative data were analysed using descriptive statistics while qualitative data were analysed using the thematic analysis method. …”
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Investigating pea (Pisum sativum L.) flowering with high throughput field phenotyping and object detection by Corina Oppliger, Radek Zenkl, Achim Walter, Beat Keller

“…Today, high-throughput field phenotyping (HTFP) methods provide opportunities for objective and efficient data collection. We developed an object detection approach (based on YOLOv8) that allows to collect detailed data about flower and pod density. …”
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Exploring the Application of Neurostructural Principles to the Design of Public Spaces on University Campuses by Qihang Zhou, Xingxing Fang

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