FacaDiffy: Inpainting unseen facade parts using diffusion models by T. Fröch, O. Wysocki, Y. Xia, Y. Xia, J. Xie, B. Schwab, D. Cremers, D. Cremers, T. H. Kolbe

“…Extensive experiments demonstrate that FacaDiffy achieves state-of-the-art performance in conflict map completion compared to various inpainting baselines and increases the detection rate by 22% when applying the completed conflict maps for high-definition 3D semantic building reconstruction. The code is be publicly available in the corresponding GitHub repository: <code>https://github.com/ThomasFroech/InpaintingofUnseenFacadeObjects</code>…”
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Enhancing GANs With MMD Neural Architecture Search, PMish Activation Function, and Adaptive Rank Decomposition by Prasanna Reddy Pulakurthi, Mahsa Mozaffari, Sohail A. Dianat, Jamison Heard, Raghuveer M. Rao, Majid Rabbani

“…This research introduces advancements in GANs by developing an improved activation function, a novel training strategy, and an adaptive rank decomposition method to compress the network. …”
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Rethinking model prototyping through the MedMNIST+ dataset collection by Sebastian Doerrich, Francesco Di Salvo, Julius Brockmann, Christian Ledig

“…Our findings suggest that computationally efficient training schemes and modern foundation models offer viable alternatives to costly end-to-end training. …”
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Assessing the impact of introductory programming workshops on the computational reproducibility of biomedical workflows. by Ariel Deardorff

“…Unfortunately, many biomedical researchers have not received formal computational training and often struggle to produce results that can be reproduced using the same data, code, and methods. …”
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Tca4rec: contrastive learning with popularity-aware asymmetric augmentation for robust sequential recommendation by Yanan Bai, Liji Xiao, Chongjun Xia, Kexiang Zeng, Xiaoyu Shi

“…To mitigate popularity bias, we derive an Asymmetric Multi-instance Noise Contrastive Estimation (AMINCE) loss function that supplies rich, bias-aware training signals, while our two-stage training strategy significantly reduces the over-dominance of popular items during optimization. …”
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BengalDeltaFish: A local dataset for fish detection in Bangladeshi marketsMendeley Data by Sabrina Alim Dipa, Arjun Pal, Md. Shoaib Shahria, Md. Delwar Shahadat Deepu, Raiyan Rahman

“…It includes 4560 annotated images that have been preprocessed and randomly split into training, validation, and testing sets for optimal use in deep learning model training, validation, and evaluation. …”
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On the study of one way to detect anomalous program execution by Yury V. Kosolapov, Tatjyana A. Pavlova

“…Developing more accurate and adaptive methods for detecting malicious code is a critical challenge in the context of constantly evolving cybersecurity threats. …”
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Participants in criminal proceedings: problematic issues of classification by A. F. Volobuyev

“…To achieve the set goal, the following main scientific tasks were solved: to analyze the norms of the Code of Criminal Procedure of Ukraine regarding the determination of the status and classification of participants in criminal proceedings; to analyze scientific publications after the adoption of the Code of Criminal Procedure of Ukraine in 2012, devoted to participants in criminal proceedings; using a systemic approach to determine the connections between participants in criminal proceedings with their distribution by stages of criminal proceedings and functions performed. …”
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A cost-effective modular laboratory solution for industrial automation and applied engineering education by Musa Al-Yaman, Dana Alswaiti, Adham Alsharkawi, Majid Al-Taee

“…This well-rounded setup is specifically designed to meet the educational and training objectives of the lab, promoting an interactive learning environment that develops essential automation skills and builds trainee confidence in applying PLC technology across real-world scenarios. • Offers a cost-effective PLC solution for industrial automation and engineering education, addressing the high cost of traditional systems. • Provides a scalable PLC lab setup developed to facilitate hands-on learning and practical experience in industrial automation, enabling simultaneous experimentation and collaborative learning. • Aligns with educational objectives, fostering an interactive, hands-on environment that builds essential automation skills, by enabling real-code preparation, testing and verification.…”
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Special criminology measures for preventing unvoluntary leaving a military unit or place of service by P. I. Tkachenko

“…The spread of the specified type of criminal act forces lawyers to investigate the nature of the commission of the crime provided for in Art. 407 of the Criminal Code of Ukraine (hereinafter referred to as the Criminal Code of Ukraine), criminological characteristics, dynamics, the person-criminal, as well as prevention measures, among which it is possible to single out the special criminological orientation, which can be recognized as narrowly directed and designed to effectively solve the tasks. …”
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Research on Natural Language Misleading Content Detection Method Based on Attention Mechanism by Boning Liu

“…To address these challenges, we propose a novel dual-component system consisting of the Content-Driven Encoder (CoDE) and the Domain-Informed Detection Adapter (DiDA). …”
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Empowering sentiment analysis in social media: a comprehensive approach to enhance the classification of abusive Tamil comments using transformer models by Malliga Subramanian, Sathishkumar Veerappampalayam Easwaramoorthy, Nandhini Subbarayan, Usha Moorthy

“…Recognizing such content is especially difficult in code-mixed contexts and low-resource languages such as Tamil, where the linguistic complexity and data scarcity create substantial challenges. …”
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A learning trajectory for developing computational thinking in prospective mathematics teachers through Python programming in Google Colab by Edi Irawan, Moh. Khoridatul Huda, Ratni Purwasih

“…The students experienced improvements in breaking down problems, devising more efficient solutions, recognising patterns in code structures, and systematically designing algorithms. …”
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AC-MLP: Axial Convolution-MLP Mixer for nuclei segmentation in histopathological images by Nguyen Thanh Thu, Dinh Binh Duong, Tran Thi Thao, Pham Van Truong

“…Experiments demonstrate that our model can achieve high results on small medical datasets, with Dice scores of 90.20% on the GlaS dataset, 80.43% on the MoNuSeg dataset, and without pre-training. The code will be available at https://github.com/thanhthu152/AC-MLP.…”
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A variable metric proximal stochastic gradient method: An application to classification problems by Pasquale Cascarano, Giorgia Franchini, Erich Kobler, Federica Porta, Andrea Sebastiani

“…The code is publicly available at https://github.com/koblererich/lisavm.…”
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Real-time Smartphone Usage Surveillance System Based on YOLOv5 by Rr. Hajar Puji Sejati, Rodhiyah Mardhiyyah, Zulkhairi Zulkhairi, Nur Istiqomah, R. Imam Budi Prasetya

“…Collecting a dataset, annotating, training objects, writing program code, and testing the system are all stages in the development of this system. …”
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Enactment of Professional Ethics Standards Compliance in Patients and Nurses Prospective by Ali Dehghani, Fatemeh Radbeh, Ali Mohammad Parviniannasab, Soureh Khaki, Morteza Shamsizadeh, Mehdi Beyramijam

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Augmented-reality-driven medical simulation platform for percutaneous nephrolithotomy with cybersecurity awareness by Yonghang Tai, Lei Wei, Hailing Zhou, Jun Peng, Qiong Li, Feiyan Li, Jun Zhang, Junsheng Shi

“…Professors’ results demonstrated extremely better than medical students’ in total evaluation results. After a training group of medical students, SimPCNL showed a better result than the commercial training framework, especially for the quantitative feedbacks group. …”
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Do-Not-ResuscitateDecision-Making during the COVID-19 Pandemic in a Teaching Hospital: Lessons Learned for the Future by Mick van de Wiel, Sabrina van Ierssel, Walter Verbrugghe, Veerle Mertens, Annelies Janssens

“…Assess how the decision-making process to determine a DNR code is implemented in the day-to-day clinical practice in a tertiary teaching hospital. …”
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BeatNet+: Real-Time Rhythm Analysis for Diverse Music Audio by Mojtaba Heydari, Zhiyao Duan

“…Finally, we release beat and downbeat annotations for two datasets that are designed for other tasks, and revised annotations of three existing datasets. We also release the code repository and pre-trained models on GitHub.…”
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