Enhancing precision in multiple sclerosis lesion segmentation: A U-net based machine learning approach with data augmentation by Oezdemir Cetin, Berkay Canel, Gamze Dogali, Unal Sakoglu

“…The predicted locations of MS lesions were compared with the corresponding layers of white matter, gray matter, and cerebrospinal fluid within the brain. …”
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PlantNet: Scalable Convolutional Neural Network for Image-Based Plant Disease Detection by Sinha Anupa, Kumaraswamy Balasubramaniam

“…The architecture is composed of multiple convolutional and pooling layers, ensuring both depth and performance efficiency. …”
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BRYANSK-KURSK-VORONEZH INTRA-CONTINENTAL COLLISIONAL OROGEN (EAST EUROPEAN CRATON) by M. V. Mints, W. A. Bush, S. N. Ageev

“…It is difficult or impossible to explain specific features of the structure and evolution of the orogen in framework of the model of the Cordilleras type  accretionary orogen. …”
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VAE-Based Real-Time Anomaly Detection Approach for Enhanced V2X Communication Security by Yonas Teweldemedhin Gebrezgiher, Sekione Reward Jeremiah, Stefanos Gritzalis, Jong Hyuk Park

“…This paper proposes a real-time anomaly detection framework that integrates the reconstruction capabilities of Variational Autoencoders (VAEs) with the feature extraction power of Convolutional Neural Networks (CNNs). Our model processes streaming data using a sliding window mechanism, ensuring prompt detection of anomalies in the dynamic V2X environment. …”
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A Novel Multi-Objective Fuzzy Deep Learning Framework for Predictive Maintenance in Industrial Internet of Things by Jiangang Feng, Jicheng Kan

“…This paper introduces MO-FCNN, a novel PdM model that integrates fuzzy logic with deep convolutional neural networks (DCNN) to manage data uncertainty and utilizes non-dominated sorting biogeography-based optimization (NSBBO) to improve the overall maintenance decision-making process. …”
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Determining carbon storage of a complex peat stratigraphy using non– and minimal-invasive geophysical prospection techniques (Verlorener Bach and Loosbach valleys, southern Germany... by Anne Köhler, Ulrike Werban, Marco Pohle, Johannes Rabiger-Völlmer, Birgit Schneider, Anneli Wanger-O’Neill, Stefanie Berg, Peter Dietrich, Christoph Zielhofer

“…Correlating EMI-based apparent electrical conductivity values with stratigraphical data enabled the creation of a validated 3D model of sediment thickness. This approach revealed an inverted relief process where non-organic Unit III sediments remain elevated as surrounding organic-rich sediments shrink upon oxidation.Additionally, geochemical analyses estimated the Total Carbon (TC) and Total Organic Carbon (TOC) content for Unit II, totaling 43 kt of TC and 35 kt of TOC across the entire 15-hectare study area. …”
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Online evaluation method for MMC submodule capacitor aging based on CapAgingNet by Xinlan Deng, Youhan Deng, Liang Qin, Weiwei Yao, Min He, Kaipei Liu

“…Subsequently, the CapAgingNet model is introduced, incorporating key technical modules to enhance performance: the Deep Stem module, which extracts larger receptive fields through multiple convolution layers and mitigates the impact of data sparsity in capacitor aging on feature extraction; the efficient channel attention (ECA) module, utilizing one-dimensional convolution for dynamic weighting to adjust the importance of each channel, thereby enhancing the ability of the model to process high-dimensional features in capacitor aging data; and the multiscale feature fusion (MSF) module, which integrates capacitor aging information across different scales by combining fine-grained and coarse-grained features, thus improving the capacity of the model to capture high-frequency variation characteristics. …”
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A Review and Prospect for the Complexity and Resilience of Urban Public Transit Network Based on Complex Network Theory by Lin Zhang, Jian Lu, Bai-bai Fu, Shu-bin Li

“…The deep understanding of this study helps to provide a new perspective for analyzing the reliability of urban PTN. Following study process of the complexity and resilience of complex network, this paper reviews the complexity and resilience of PTN from four topics, i.e., the PTN complexity, the static resilience of PTN, the dynamic resilience (cascading failures based resilience) of single layered PTN, and the dynamic resilience of interdependent PTN. …”
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Research on Multi-objective Shielding Intelligent Optimization Method Based on Non-dominated Sorting Genetic Algorithm NSGA-Ⅲ by WANG Mengqi, ZHENG Zheng, MEI Qiliang, PENG Chao, GAO Jing, ZHOU Yan

“…The study employed a sophisticated multi-objective intelligent optimization procedure and designed a one-dimensional discrete ordinates scale computational model. The model played a key role in optimizing the shielding structure above the hatch cover, paying particular attention to the dimensions of the concrete and polyethylene layers. …”

Improving Subsurface Soil Moisture Estimation Using a 2‐Dimensional Data Assimilation Framework Incorporated With a Dual State‐Parameter Scheme by Dehai Liao, Jun Niu, Taisheng Du, Shaozhong Kang

“…This study may provide new insights into the diagnosis and refinements of the model representation of surface‐subsurface processes.…”
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Experimental Study on Mechanical Deformation Characteristics of Inclined and Straight Alternating Pile Groups by Desen Kong, Meixu Deng, Yazhou Li

“…In order to investigate the bearing characteristics of inclined straight alternating pile groups under vertical and horizontal loads, the indoor model test of 2 × 2 inclined straight alternating pile groups with two layers of soil on low pile caps was carried out, the manufacturing method of inclined straight alternating pile groups was studied, and the test scheme was reasonably designed. …”
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Possible causes of methane release from the East Arctic seas shelf by O. A. Anisimov, Yu. G. Zaboikina, V. A. Kokorev, L. N. Yurganov

“…Earlier study, which was based on mathematical modeling, did not find intensive development of taliks as well as other processes that lead to increased gas permeability of the bottom sediments. …”
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Removing Stripe Noise From Infrared Cloud Images via Deep Convolutional Networks by Pengfei Xiao, Yecai Guo, Peixian Zhuang

“…To further improve the performance, we propose a local-global combination structure model, which combines the representations of different layers for recovering the rich details of infrared cloud images. …”
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A Novel Approach for Tomato Leaf Disease Classification with Deep Convolutional Neural Networks by Gizem Irmak, Ahmet Saygılı

“…In contrast, a novel convolutional neural network (CNN) framework, complete with unique parameters and layers, was utilized for deep learning. The results of this study demonstrate that the proposed approach outperforms state-of-the-art studies in terms of accuracy. …”
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Structural Obstacles to Energy Transition in Türkiye and Holistic Solution Proposals: A Political, Economic and Social Dimensional Analysis by Muhammed Ernur Akiner

“…This study aims to analyze the multi-dimensional structural obstacles in Türkiye’s energy transition process and offer solutions for a sustainable, fair, and holistic transition. …”
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A Comparative Analysis of Discourse-Oriented Contexts of Prophet Noah In two Surahs of Hood and Noah Based on Van Leeuwen's Framework by Ebrahim Fallah, Sajjad Shafipoor

“…In this study, the discourse-oriented contexts of the narrative of Prophet Noah in Van Leeuwen's sociological-semantic framework have been examined in terms of the effectiveness of this model and its components in analyzing this narrative. …”
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Towards Transparent AI in Medicine: ECG-Based Arrhythmia Detection with Explainable Deep Learning by Oleksii Kovalchuk, Oleksandr Barmak, Pavlo Radiuk, Liliana Klymenko, Iurii Krak

“…Second, we proposed an arrhythmia classification method utilizing a modified convolutional neural network (CNN) architecture with additional convolutional and batch normalization layers. This model processes a triad of cardio cycles—the preceding, current, and following cycles—to capture temporal dependencies and hidden features related to arrhythmias. …”
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Transitivity, verbal humour and the construction of identity in Trevor Noah’s narratives by Nouran Tarek Soliman, Rabia Abdul-Salim Madhi

“…The results highlight the distinct uses of transitivity processes in both excerpts, with the stand-up comedy employing more dynamic verbs, denoting action, while the memoir uses more relational processes. …”
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Participatory design and evaluation of digital coaching for improving health—the star multicomponent lifestyle intervention by Helena Lindgren, Kaan Kilic

“…The process followed a design methodology for argument-based health information systems and a framework for layered interactive adaptive systems to engage domain experts in the development of aspects relating to the interactivity of the system. …”
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Ionic Cell Microscopy: A new modality for visualizing cells using microfluidic impedance cytometry and generative artificial intelligence by Mahtab Kokabi, Gulam M. Rather, Mehdi Javanmard

“…Instead of traditional imaging methods, electrical impedance signals were used to reconstruct cell images. A generative AI model with eight hidden layers processed 191 impedance values to accurately reconstruct the shapes of cancer cells and control beads. …”
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