Creating interpretable deep learning models to identify species using environmental DNA sequences by Samuel Waggoner, Jon Donnelly, Rose Gurung, Laura Jackson, Chaofan Chen

“…Recent work has shown that when used to identify species, convolutional neural networks (CNNs) can be as much as 150 times faster than ObiTools, a traditional method that does not use deep learning. However, CNNs are black boxes, meaning it is impossible to “fact check” why they predict that a given sequence belongs to a particular species. …”
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Semi-Supervised Atmospheric Turbulence Mitigation Based on Hybrid Models by Wenhao Chu, Zhi Cheng, Lixin He

“…Furthermore, an ablation study is conducted to illustrate the enhancements achieved by the various modules in the proposed method.…”
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Extraction of Earth Surface Texture Features from Multispectral Remote Sensing Data by Zhenxing Zhang, Feng Gao, Bin Ma, Zhiqiang Zhang

“…Earth surface texture features referring to as visual features of homogeneity in remote sensing images are very important to understand the relationship between surface information and surrounding environment. …”
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A Study of the Audience's Exposure to the Filmic Space with an Emphasis on the Interdisciplinary Phenomenological Views by payam Zinalabedini

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Designing Interactive Applications to Support Novel Activities by Hyowon Lee, Nazlena Mohamad Ali, Lynda Hardman

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Reconnecting River-City: A Visibility and Accessibility Assessment of the Ping River’s View Characters in Chiang Mai City by Janjira Sukwai, Nattasit Srinurak

“…The methodology utilized for GIS included visibility and accessibility assessments as variables for analyzing interconnections and classification utilizing the statistical method of hierarchical clustering analysis (HCA). …”
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Drivers’ Eye Movement Characteristics in a Combined Bridge-Tunnel Scenario on a Mountainous Urban Expressway: A Realistic Study by Jingrong Bai, Qinghai Lin, Huiyun Bi, Boming Tang

“…This paper attempts to clarify these characteristics using descriptive statistics and the box graph method, registering the pupil diameter, blink duration, fixation, saccades, and fixation loci at different tunnel locations, bridges, and ramps. …”
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Tracing the evolution of green logistics: A latent dirichlet allocation based topic modeling technology and roadmapping. by Ruijundi Ma, Yong Jin Kim

“…This study fills the gap in considering the evolution process of green logistics through topic modeling and roadmapping method. It provides a particular theoretical significance for the green and sustainable development of logistics.…”
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Image denoising algorithm based on multi-channel GAN by Hongyan WANG, Xiao YANG, Yanchao JIANG, Zumin WANG

“…Aiming at the issue that the noise generated during image acquisition and transmission would degrade the ability of subsequent image processing, a generative adversarial network (GAN) based multi-channel image denoising algorithm was developed.The noisy color image could be separated into red-green-blue (RGB) three channels via the proposed approach, and then the denoising could be implemented in each channel on the basis of an end-to-end trainable GAN with the same architecture.The generator module of GAN was constructed based on the U-net derivative network and residual blocks such that the high-level feature information could be extracted effectively via referring to the low-level feature information to avoid the loss of the detail information.In the meantime, the discriminator module could be demonstrated on the basis of fully convolutional neural network such that the pixel-level classification could be achieved to improve the discrimination accuracy.Besides, in order to improve the denoising ability and retain the image detail as much as possible, the composite loss function could be depicted by the illustrated denoising network based on the following three loss measures, adversarial loss, visual perception loss, and mean square error (MSE).Finally, the resultant three-channel output information could be fused by exploiting the arithmetic mean method to obtain the final denoised image.Compared with the state-of-the-art algorithms, experimental results show that the proposed algorithm can remove the image noise effectively and restore the original image details considerably.…”
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Lean Approach of Pharmaceutical Installations At Hospital ABC Purbalingga to Increase Pharmacy Service Efficiency by Rani Aulia Imran

“…Non-value added and value-added activities been divided, then time measurement in each activity is carried out with a time study method, to get the actual time of compounding the drug. …”
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Digital Workflow for Immediate Implant Placement and Chairside Provisionalization in the Esthetic Zone by Vincent J. J. Donker, Gerry M. Raghoebar, Arjan Vissink, Henny J. A. Meijer

“…This could be a predictable method to deliver a screw-retained temporary restoration, directly after static computer-assisted immediate implant surgery. …”
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Learning Through "ARBOR Exhibition" by Eneng Nunuz Rohmatullayaly, Budi Irawan, Madihah Madihah

“…This study used the Research and Development (R&D) method. “ARBOR: The Art and Beauty of Universitas Padjadjaran’s Pollinator” is a photography talk show and exhibition providing information about pollinators, food plants, and host plants in the arboretum and surrounding campus. …”
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Optimizing UI/UX of AIMsCORE Application with Design Thinking to Enhance User Interaction and Engagement by Jannatunnisa, Abdul Rahim, Sayekti Harits Suryawan

“…Data were validated through triangulation comparing information from multiple sources and perspectives to ensure objectivity and minimize bias. This method strengthens data credibility and informs problem-based solution design. …”
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Stockholm Archipelago on Instagram—Landscape Imaginaries of Two Hashtags by Christian Widholm

“…The analytical approach stems from the concept of landscape imaginaries, how collective understandings and representations of landscape render space. The method combines thematic analysis, netnography, and semiotic analysis. …”
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Exploring the Sundanese culture in the Makuta Binokasih as a cultural asset of the Sumedang Larang Kingdom by Fajar Ciptandi, Jeng Oetari, Morinta Rosandini

“…While documentation is important for use as a source of data in further research, policymaking related to cultural preservation, and the development of other innovations. The research method was carried out, including: (1) collecting data through field observations, deep interviews, and document studies, then validating using triangulation of data sources; (2) revealing the cultural values contained in Makuta Binokasih based on Sundanese aesthetic morphology; and (3) creating the asset documents. …”
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From the Cloud to the Ground. A Data-Driven Research to Build Informative Heritage about Data Centres’ Energy Footprint by Fabiola Papini, Francesca Valsecchi, Michele Mauri

“…The article aims to bridge this gap using data visualisation as a research method and design output. It summarises data-driven research with a twofold output: mapping the known and unknown aspects of the Internet’s energy footprint to support transparency and future reflections and identifying visual strategies in the design field for communicating complex information. …”
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Wavelet-Based Topological Loss for Low-Light Image Denoising by Alexandra Malyugina, Nantheera Anantrasirichai, David Bull

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Modeling Spatial Data with Heteroscedasticity Using PLVCSAR Model: A Bayesian Quantile Regression Approach by Rongshang Chen, Zhiyong Chen

“…The effectiveness of the proposed model and estimation method is demonstrated by the use of real data from the Boston median house price.…”
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Detection of Salmonella enterica subsp. enterica via Quenching of Unincorporated Amplification Signal Reporters in Loop-Mediated Isothermal Amplification by Ma. Hanna S. C. Halcon, Joy Ann P. Santos, Nacita B. Lantican

“…In this study, a rapid and cheap method of detecting S. enterica DNA was developed by employing the Quenching of Unincorporated Amplification Signal Reporters in Loop-Mediated Isothermal Amplification (QUASR LAMP) platform. …”
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A real-time virtual liver simulator using position based dynamics with compliant constraints for medical applications by Yufan Guo, Dongliang Kou, Xukun Zhang, Lihua Zhang, Kai Cao

“…Experimental evaluations reveal that our method not only meets the stringent real-time requirements of surgical procedures but also significantly enhances the visual realism and stability of simulations. …”
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