Analysis of Magnetic Barkhausen Noise to Reveal Domain Wall Dynamics in Amorphous/Nanocrystalline Ribbons by Takahiro Yamazaki, Shingo Tamaru, Masato Kotsugi

“…In the non-annealed amorphous state, isolated MBN pulses with steep leading edges and exponentially decaying trailing edges were clearly observed. …”
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The Hubble Image Similarity Project by Richard L. White, J. E. G. Peek

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Voxel-Wise Brain Graphs From Diffusion MRI: Intrinsic Eigenspace Dimensionality and Application to Functional MRI by Hamid Behjat, Anjali Tarun, David Abramian, Martin Larsson, Dimitri Van De Ville

“…<italic>Goal:</italic> Structural brain graphs are conventionally limited to defining nodes as gray matter regions from an atlas, with edges reflecting the density of axonal projections between pairs of nodes. …”
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On the subsurface erosion, micro-tunneling and deformation induced by high-frequency droplet impingement in gravity-cast aluminum, analyzed through micro-computed tomography by Sergej Hloch, Kamil Souček, Jaroslava Svobodová, Alice Chlupová, Akash Nag

“…This research focuses on monitoring the erosion evolution of 99.8 % pure, gravity-cast aluminum, utilized in its basic, un-processed state, when subjected to precisely timed, high-frequency droplet impacts. …”
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Bayesian modeling with locally adaptive prior parameters in small animal imaging by Muyang Zhang, Robert G. Aykroyd, Charalampos Tsoumpas, Charalampos Tsoumpas

“…The aim of this study is to develop novel and robust estimation approaches rooted in fundamental statistical concepts that could be utilized in solving several inverse problems in image processing and potentially in image reconstruction. …”
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Fe/polymer joining via Fe/TiB2 composite structures via in-situ laser-induced reaction of Fe-Ti-B system: Effect of powder composition by Shaoyun Zhou, Koki Omiya, Yuto Ueda, Asuka Suzuki, Naoki Takata, Makoto Kobashi

“…A combination of the micro-structuring process using a high fraction of TiB2 with advanced joining technologies will contribute to manufacturing high-strength Fe/polymer hybrid parts.…”
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Limits of Application of the <i>jura novit arbiter</i> Principle in International Arbitration: Some Issues of Theory and Practice by D. L. Davydenko, R. N. Muksunova

“…First, there are three major constraints put on the arbitrators' discretion: 1) ne ultra petita (not beyond the request), 2) due process in terms of a right to be heard and the foreseeability test, 3) expediency and efficiency of arbitral proceedings. …”
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Embedding-Enhanced Graph Attention Networks for Imbalanced Industrial Fault Diagnosis by Chi Zhang, Yuliang Li, Lifeng Fan, Lixiang Shen, Ting Qin

“…Finally, the proposed model is tested on two real-world industrial process datasets, and the results demonstrate the efficiency and superiority of the proposed model compared to existing state-of-the-art models.…”
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Toward Universal Multiplexer Multiply-Accumulate Architecture in Stochastic Computing by Yang Yang Lee, Zaini Abdul Halim, Mohd Nadhir Ab Wahab, Tarik Adnan Almohamad

“…The proposed approach has been validated through SC image processing tasks, including grayscale conversion and Sobel edge detection, achieving up to 75% reduction in hardware resource utilization on field-programmable gate arrays (FPGAs) and up to 96% improvement in computational accuracy compared to traditional AND/XNOR-based SC multipliers.…”
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ElectroCom61: A multiclass dataset for detection of electronic componentsMendeley Data by Md. Faiyaz Abdullah Sayeedi, Anas Mohammad Ishfaqul Muktadir Osmani, Taimur Rahman, Jannatul Ferdous Deepti, Raiyan Rahman, Salekul Islam

“…Additionally, we conducted minimal pre-processing to optimise model training and performance. …”
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Innovative Trends in the Development of Modern Enterprise Management Systems by Slastianykova Krystyna I., Bobryntsev Pavlo V.

“…It is shown that the mentioned trends encompass the use of cutting-edge technologies such as artificial intelligence (AI), big data, the Internet of Things (IoT), and digitalization, which contribute to the enhancement of management process efficiency and the adaptability of enterprises to a changing environment. …”
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Influence of non-ferrous metals on the structural quality of the high-alloy mild steel 20X2H4A billets received by centrifugal electroslag remelting by P. I. Papkovskiy, A. I. Valko, S. G. Sandomirskii

“…This applies to all mechanical properties associated with destruction or processes occurring on the edge of grains. The cardinal way of obtaining cleaner steel, including the reduction of impurities of non-ferrous metals, is the use of pure original charge mixture.The article discusses the topical problem of cracking formation after chemical-thermal treatment in the material of sun gears of the second row of quarry dump trucks BELAZ, obtained by the method of CESR rolled steel 20X2H4А, the possible impact of small concentrations of non-ferrous metals (Pb, Zn, Sn, Bi, As, Se) on the development of external and internal cracks in castings and on structural heterogeneity of steel after CESR.The obtained results allowed to draw conclusions about the impact of non-ferrous metals on the formation of cracks in castings and to establish their limited quantitative characteristics. …”
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Highway subgrade stability prediction model based on depth separation convolutional fusion network by Yubian Wang

“…The improved depth separation convolution model proposed in this paper innovatively adopts the vector space form of adjacent hypervoxels in dealing with the edge position of subgrade defects and an accurate segmentation feature scheme. …”
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Depression Detection in Social Media: A Comprehensive Review of Machine Learning and Deep Learning Techniques by Waleed Bin Tahir, Shah Khalid, Sulaiman Almutairi, Mohammed Abohashrh, Sufyan Ali Memon, Jawad Khan

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FilletCam AI: A handheld tool for precise fillet color profiling of Atlantic salmon and rainbow trout by Rakesh Ranjan, Harsh Shroff, Kata Sharrer, Scott Tsukuda, Christopher Good

“…Overall, the developed research prototype shows promise as a valuable digital tool for the fish processing and retail industries.…”
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Hybrid Transformer-Based Large Language Models for Word Sense Disambiguation in the Low-Resource Sesotho sa Leboa Language by Hlaudi Daniel Masethe, Mosima Anna Masethe, Sunday O. Ojo, Pius A. Owolawi, Fausto Giunchiglia

“…Additionally, the performance of baseline and improved machine learning models for a sequence-based natural language processing (NLP) task was assessed and compared. The baseline models included RNN-LSTM, BiGRU, LSTMLM, DeBERTa, and DistilBERT, with accuracies of 61%, 79%, 74%, 70%, and 64%, respectively. …”
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Unravelling the spatiotemporal trade-offs and synergies among hydrological ecosystem services in a large floodplain lake by Bing Li, Guishan Yang, Rongrong Wan, David P. Hamilton, Xueran Wang

“…Results showed that hydrological processes and topographical gradients regulated the ES dynamics and interactions in Poyang Lake across time and space. …”
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Quantification of Subsurface Hydrological Connectivity Using Wavelet Coherence Analysis by REN Ruijie, Fan Bihang, ZHANG Yaling, WANG Erqing, YANG Ruxin, HAN Xiaole, LIU Jintao, GUO Li

“…All analyses excluded the Cone of Influence (COI) boundaries to eliminate edge effects.Results and Discussions1)Vertical subsurface hydrological process connectivity was significantly higher than lateral connectivity across all slope positions and aspects (<italic>p</italic>&lt; 0.05). …”
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Stochastic Graph-Based Models of Tumor Growth and Cellular Interactions by José Alberto Rodrigues

“…In this study, we develop a graph-theoretic framework to model the tumor microenvironment, where nodes represent different cell types, and edges denote their interactions. The temporal evolution of the tumor microenvironment is governed by fundamental biological processes, including proliferation, apoptosis, migration, and angiogenesis, which we model using differential equations with stochastic effects. …”
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Crop row centerline extraction method based on regional feature point clustering by Baofeng Ji, Hang Wang, Chunhong Dong, Song Chen, Hongtao Chen, Fazhan Tao, Ji Zhang, Huitao Fan

“…To address the issues of low accuracy and high processing time in traditional machine vision methods for crop row detection due to varying crop types, growth backgrounds, and changes in the number of crop rows, this study proposes a crop row centerline extraction method based on regional feature point clustering. …”
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