Comparative Analysis of Different Display Technologies for Defect Detection in 3D Objects by Vasil Kozov, Ekaterin Minev, Magdalena Andreeva, Tzvetomir Vassilev, Rumen Rusev

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A comparative study of explainable machine learning models with Shapley values for diabetes prediction by Keona Pang

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Privacy-preserving federated learning framework with dynamic weight aggregation by Zuobin YING, Yichen FANG, Yiwen ZHANG

“…There are two problems with the privacy-preserving federal learning framework under an unreliable central server.① A fixed weight, typically the size of each participant’s dataset, is used when aggregating distributed learning models on the central server.However, different participants have non-independent and homogeneously distributed data, then setting fixed aggregation weights would prevent the global model from achieving optimal utility.② Existing frameworks are built on the assumption that the central server is honest, and do not consider the problem of data privacy leakage of participants due to the untrustworthiness of the central server.To address the above issues, based on the popular DP-FedAvg algorithm, a privacy-preserving federated learning DP-DFL algorithm for dynamic weight aggregation under a non-trusted central server was proposed which set a dynamic model aggregation weight.The proposed algorithm learned the model aggregation weight in federated learning directly from the data of different participants, and thus it is applicable to non-independent homogeneously distributed data environment.In addition, the privacy of model parameters was protected using noise in the local model privacy protection phase, which satisfied the untrustworthy central server setting and thus reduced the risk of privacy leakage in the upload of model parameters from local participants.Experiments on dataset CIFAR-10 demonstrate that the DP-DFL algorithm not only provides local privacy guarantees, but also achieves higher accuracy rates with an average accuracy improvement of 2.09% compared to the DP-FedAvg algorithm models.…”
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TopoSinGAN: Learning a Topology-Aware Generative Model from a Single Image by Mohsen Ahmadkhani, Eric Shook

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A Comparative Study of Loan Approval Prediction Using Machine Learning Methods by Vahid Sinap

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Prospects of using chondroprotectors for the treatment of pulmonary pathology by I. Yu. Torshin, O. A. Gromova, A. G. Chuchalin

“…The complex mechanisms of action of chondroitin sulfate (CS) and glucosamine sulfate (GS) at the molecular level make it possible to assert the applicability of the corresponding drugs far beyond chondroprotection. …”
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Leveraging machine learning techniques for image classification and revealing social media insights into human engagement with urban wild spaces by Haider Khalid, Marcus J. Collier

“…The study follows a two-step methodology: first, scraping image data from Instagram, Facebook, and Flickr using hashtag-based techniques focused on urban wild spaces; second, developing an experimental pipeline using Convolutional Neural Networks (CNN), Density-Based Spatial Clustering of Applications with Noise (DBSCAN), and Convolutional Autoencoders (CAE) to classify and evaluate the scrapped social media data. …”
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Smart Electric Vehicle Charging Management Using Reinforcement Learning on FPGA Platforms by Udhaya Mugil Damodarin, Gian Carlo Cardarilli, Luca Di Nunzio, Marco Re, Sergio Spanò

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LITP-GAN: Leaf image translation pipeline using DETR and GLA-Net considering the lesion area of plant disease by Ri Zheng, Jimin Lee, Helin Yin, Dong Jin, Yeong Hyeon Gu

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Rate of penetration prediction in drilling operations: a comparative study of AI models and meta-heuristic approaches by Fatemeh Mohammadinia, Ali Ranjbar, Fatemeh Ghazi, Seyyed Taha Hosseini

“…The dataset, sourced from the Fahliyan Formation in southern Iran, demonstrates the practical applicability of the approach in real-world drilling operations. …”
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A Review of Multiscale Interaction Mechanisms of Wind–Leaf–Droplet Systems in Orchard Spraying by Yunfei Wang, Zhenlei Zhang, Ruohan Shi, Shiqun Dai, Weidong Jia, Mingxiong Ou, Xiang Dong, Mingde Yan

“…Future research should prioritize the development of unified coupling frameworks, the integration of physics-based and data-driven modeling strategies, and the deployment of multimodal sensing technologies for real-time intelligent spray decision-making. …”
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TPTC: topic-wise problems’ trend clusters for smart agricultural insights extraction and forecasting of farmer’s information demand by Samarth Godara, Shbana Begam, Ram Swaroop Bana, Jatin Bedi, Rajni Jain, Md. Ashraful Haque, Rajender Parsad, Sudeep Marwaha, Madhu Patial, Saber Shirzad, Ravi Nirmal

“…The study also explores numerous applications of the derived insights in the real world as well as the future scope of the presented work.…”
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Defect Prediction in CWDM Optical Modules Using Multimodal Learning by Kyu-Jeong Choi, Jia Yang, Botambu Collins, Sung-Geun Kim, Do-Jin Lim, Jin-Taek Seong

“…Leveraging the complementary nature of these data sources enhances defect detection performance, enabling the proposed model to surpass conventional single modal alternatives. …”
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Evaluating MIMO-VLC System Performance: Modulation Techniques and Ambient Light Interference Effects by Emad S. Hassan, Abdoh Jabbari, Ayman A. Alharbi

“…Visible light communication (VLC) is an emerging optical wireless technology capable of delivering high data rates for both indoor and outdoor environments. …”
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Tachyon: Enhancing stacked models using Bayesian optimization for intrusion detection using different sampling approaches by T. Anitha Kumari, Sanket Mishra

“…An initial examination of the data reveals its unbalanced nature. To create a balanced dataset, a range of sampling techniques were used, including Oversampling, Undersampling, Synthetic Minority Oversampling Technique (SMOTE), Random Oversampling Examples (ROSE), Borderline Synthetic Minority Oversampling Technique (b-SMOTE), and Adaptive Synthetic (ADASYN). …”
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Subsurface Geosciences Learning in Virtual Reality: A Case Study in Central Luconia Province, Malaysia by Grisel Jiménez, Abdul Halim Latiff, Katja Schulze

“…The recent proliferation of Extended Reality (XR) applications in geoscience education and research has opened new avenues for the enhanced visualization and analysis of the Earth’s geodata. …”
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Adoption of business intelligence in Jordanian hospitals: Examining moderating effects of support, readiness, compatibility, and user satisfaction by Mohammad Mahmoud Saleem Alzubi

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Memory-Driven Forensic Analysis of SQL Server: A Buffer Pool and Page Inspection Approach by Jiho Shin

“…However, these methods face critical limitations in real-time applicability and may miss volatile data that temporarily resides in memory. …”
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Guided Decision Tree: A Tool to Interactively Create Decision Trees Through Visualization of Subsequent LDA Diagrams by Miguel A. Mohedano-Munoz, Laura Raya, Alberto Sanchez

“…The tool developed and presented here to manually create decision trees in a guided manner based on the subsequent visualizations of the data mapping facilitates the use of this method in real-world applications. …”
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Remote sensing and TerraClimate datasets for wheat yield prediction using machine learning by Alireza Araghi, Andre Daccache

“…The global coverage of the input dataset and its easy access make this approach applicable to various crop types and other regions, thus unlocking the limitation related to the lack of on-site data availability for traditional yield prediction models.…”
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