A 3D FEM Mesoscale Numerical Analysis of Concrete Tensile Strength Behaviour by Chao Guo, Zhengran Lu

“…Aggregates were generated based on dividing the existing geometrical element algorithms to randomize arbitrary spheres. Simultaneously, randomizations of the maximum aggregate size and uniform distributions of aggregate particles were also considered. …”
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Discriminative graph regularized representation learning for recognition. by Jinshan Qi, Rui Xu

“…A kernel version of DGRL, called KDGRL, is also established for dealing with complex nonlinear data by using the kernel trick. …”
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Predictors of evacuation behavior: dataset on respondents’ route choice and web interaction by Dajana Snopková, Martin Tancoš, Lukáš Herman, Vojtěch Juřík

“…Abstract Empirical data on human evacuation behavior are invaluable for adjusting and training computational algorithms that simulate evacuation processes, including agent-based modeling. …”
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An Electrochemical Impedance Spectrum-Based State of Health Differential Indicator with Reduced Sensitivity to Measurement Errors for Lithium–Ion Batteries by Jaber Abu Qahouq

“…This supports the future development of more accurate and faster online and offline SOH estimation algorithms and systems that have a higher immunity to impedance measurement shift/offset (error). …”
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Optimizing Photovoltaic Power Prediction Using Computational Methods and Artificial Neural Networks by Cempaka Amalin Mahadzir, Ahmad Fateh Mohamad Nor, Siti Amely Jumaat, Noor Syahirah Ahmad Safawi

“…The aim of this research is to develop ANN algorithms that anticipate solar power output and enhance the structure of them by incorporating the derating factor due to dirt (kdirt) into account. …”
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A Review of Discrete Element Method Applications in Soil–Plant Interactions: Challenges and Opportunities by Yuyuan Tian, Zhiwei Zeng, Yuan Xing

“…The review also identifies key future research directions, including the incorporation of environmental factors such as air and water, and the exploration of residue management for carbon storage and erosion prevention. …”
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Identity Roles and Sociality on TikTok: Performance in Hereditary Cancer Content (#BRCA and #Lynchsyndrome) by Hannah Ditchfield, Stefania Vicari

“…This article contributes to knowledge on experiences of social media and hereditary cancer by shedding light on the kinds of identity performance that become most visible through ways of sociality shaped by powerful multimodal and algorithmic platforms such as TikTok. In so doing, it also provides unprecedented insight into what content users are exposed to when seeking information and support in relation to a hereditary cancer diagnosis on TikTok.…”
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Monthly Electricity Generatıon Forecast in Solar Power Plants with LSTM by Ali Hakan Isık, Ömer Çetin

“…It is foreseen that studies will also be implemented with other renewable energy sources such as wind, geothermal, hydraulic energy data in the coming stages.…”
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A mechanism for value-sensitive decision-making. by Darren Pais, Patrick M Hogan, Thomas Schlegel, Nigel R Franks, Naomi E Leonard, James A R Marshall

“…We propose that the model, and the significant role of the values of the alternatives, may describe other decision-making systems, including intracellular regulatory circuits, and simple neural circuits, and may provide guidance in the design of decision-making algorithms for artificial systems, particularly those functioning without centralised control.…”
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Paradigm of tunable clustering using Binarization of Consensus Partition Matrices (Bi-CoPaM) for gene discovery. by Basel Abu-Jamous, Rui Fa, David J Roberts, Asoke K Nandi

“…Conventional binary and fuzzy clustering do not embrace the biological reality that some genes may be irrelevant for a problem and not be assigned to a cluster, while other genes may participate in several biological functions and should simultaneously belong to multiple clusters. Also, these algorithms cannot generate tight clusters that focus on their cores or wide clusters that overlap and contain all possibly relevant genes. …”
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Experimental performance analysis of lightweight block ciphers and message authentication codes for wireless sensor networks by Sooyeon Shin, Minwoo Kim, Taekyoung Kwon

“…In this article, we provide experimental performance analysis of several lightweight block ciphers and message authentication codes to help for choosing better algorithms for wireless sensor networks in terms of efficiency. …”
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When AI Becomes a Shopping Advisor: A Study on the Impact of Generative AI Review on Consumer Purchase Decision by Ke Lei, Yixuan Liu

“…This technology, grounded in big data and sophisticated machine learning algorithms, seamlessly integrates users’ historical behavior data with real-time demand information. …”
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Advancing pancreatic cancer management: the role of artificial intelligence in diagnosis and therapy by Dilber Uzun Ozsahin, Natacha Usanase, Ilker Ozsahin

“…Simultaneously, AI algorithms may also be used to forecast the duration of survival, the likelihood of recurrence, the cancer metastasis, and the response to treatment, all of which can impact the prognosis. …”
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Optimizing Wheat Yields: AI and IoT Techniques for Continuous Agricultural Monitoring by Nandy Manish, Afzal Md

“…This data is analyzed using AI algorithms developed predictive models and actionable insights. …”
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Intelligent Beam-Hopping-Based Grant-Free Random Access in Secure IoT-Oriented Satellite Networks by Zhongliang Deng, Yicheng Liao

“…Also, a kind of activity mechanism is proposed based on the constraints of the spatio-temporal distribution of devices. …”
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The Discriminants of Long and Short Duration Failures in Fulfillment Sortation Equipment: A Machine Learning Approach by Abed Mutemi, Fernando Bacao

“…Under a variety of hyperparameter configurations, we test and compare the outcomes of eight different machine learning classification algorithms, seven individual classifiers, and a stacked ensemble. …”
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Quantum DeepONet: Neural operators accelerated by quantum computing by Pengpeng Xiao, Muqing Zheng, Anran Jiao, Xiu Yang, Lu Lu

“…Furthermore, we show that our quantum DeepONet can also be informed by physics, minimizing its reliance on extensive data collection. …”
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A New Signal Processing Method for Time-of-Flight and Center Frequency Estimation by Olgirdas Tumšys

“…Together with the ToF, the center frequency of the signal was also determined. The proposed method was adapted to the processing of experimental signals obtained during various ultrasound investigations. …”
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Semantic Segmentation-Driven Knowledge Distillation-Based Infrared Visible Image Fusion Framework by Xingshuo Wang

“…However, many existing fusion algorithms overly emphasize visual quality and traditional statistical evaluation metrics while neglecting the requirements of real-world applications, especially in high-level vision tasks. …”
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On-Chip Reconfigurable Hardware Accelerators for Popcount Computations by Valery Sklyarov, Iouliia Skliarova, João Silva

“…The paper suggests two types of hardware accelerators that are (1) designed in FPGAs and (2) implemented in Zynq-7000 all programmable systems-on-chip with partitioning of algorithms that use popcounts between software of ARM Cortex-A9 processing system and advanced programmable logic. …”
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