High-granularity Dual-readout Calorimeter: Evolution of a Classic Prototype by Akchurin Nural, Cash James, Damgov Jordan, Delashaw Xander, Lamichhane Kamal, Harris Miles, Kelley Mitch, Kunori Shuichi, Mergate-Cacace Harold, Peltola Timo, Schneider Odin, Sewell Julian

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Neural-Driven heuristic for strip packing trained with Black-Box optimization by Mariusz Kaleta, Tomasz Śliwiński

“…In this paper, we propose a neural-driven constructive heuristic that leverages a lightware neural network trained via black-box optimization to dynamically evaluate item placement decisions. …”
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Temporal evolution of fibroblast responses following salivary gland ductal ligation injury by Joey R. Tavarez, Joey R. Tavarez, James Kenney, Sergo Gabunia, Deirdre A. Nelson, Melinda Larsen, Melinda Larsen

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Pattern memory cannot be completely and truly realized in deep neural networks by Tingting Li, Ruimin Lyu, Zhenping Xie

“…Abstract The unknown boundary issue, between superior computational capability of deep neural networks (DNNs) and human cognitive ability, has becoming crucial and foundational theoretical problem in AI evolution. …”
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Acoustic emission localization model of concrete material based on convolutional neural network by DENG Yongdong, ZHOU Jingren, LU Xiang, CHEN Jiangkang

“…In this paper, a convolutional neural network-based acoustic emission localization model is constructed by taking the cylindrical concrete specimen as the experimental object, taking the 3D coordinates of eight sensors and the propagation time difference as input, and the 3D coordinate position of the acoustic emission source as output. …”
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Digital security risk identification and model construction of smart city based on deep learning by Zhilei Zhao

“…With the widespread application of advanced technologies in smart cities, the rapid development of IIoT has become an important force in promoting its evolution, but at the same time, the expansion of the attack surface has also brought many security risks. …”
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Analyzing crises in global financial indices using Recurrent Neural Network based Autoencoder. by Mimusa Azim Mim, Md Kamrul Hasan Tuhin, Ashadun Nobi

“…To explore the network structure, we construct threshold networks based on the middle-layer weights for each year and examine key topological metrics, such as entropy, average clustering coefficient, and average shortest path length, providing new insights into the dynamic evolution of global stock market interconnections. …”
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Universal logical quantum photonic neural network processor via cavity-assisted interactions by Jasvith Raj Basani, Murphy Yuezhen Niu, Edo Waks

“…We establish a quantum control framework to prepare and perform universal logical operations on arbitrary multimode multi-photon states using a quantum photonic neural network. Central to our approach is the optical nonlinearity, which is realized through strong light-matter interaction with a three-level Λ atomic system. …”
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Hijacking homeostasis: the brain-body neural circuitry in tumor pathogenesis and emerging therapeutic frontiers by Yong-Fei Wang, Zi-Kai Dong, Wei-Lin Jin

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Predictive Control for an Ankle Rehabilitation Robot Using Differential Evolution Optimization Algorithm-Based Fuzzy NARX Model by Shenglong Xie, Haiming Zhong, Yuntang Li, Su'an Xu, Wenyuan Liu, Shiyuan Bian, Shiwu Zhang

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A survey of backdoor attacks and defences: From deep neural networks to large language models by Ling-Xin Jin, Wei Jiang, Xiang-Yu Wen, Mei-Yu Lin, Jin-Yu Zhan, Xing-Zhi Zhou, Maregu Assefa Habtie, Naoufel Werghi

“…Deep neural networks (DNNs) have found extensive applications in safety-critical artificial intelligence systems, such as autonomous driving and facial recognition systems. …”
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Physics-Informed Neural Network for monitoring the sulfate ion adsorption process using particle filter by WANCLEY O. PEDRUZZI, CARLOS EDUARDO R. DALLA, WELLINGTON B. DA SILVA, DAMARIS GUIMARÃES, VERSIANE A. LEÃO, JULIO CESAR S. DUTRA

“…The results shows physic-informed neural network capability in solving the proposed model and its uses as an evolution model for sequential estimation.…”
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Spatiotemporal fusion knowledge tracking model based on spatiotemporal graph and fourier graph neural network by Yinquan Liu, Weidong Ji, Guohui Zhou

“…To solve the problem of uncertain spatiotemporal compatibility, this paper proposes a knowledge tracing model that unifies spatiotemporal information - Spatiotemporal Fourier Knowledge Tracing(STFKT). The model constructs spatiotemporal graphs by integrating information from the time dimension and the spatial dimension through information extracted from the cognitive and behavioral perspectives, resolves the compatibility problem between the two, and processes spatiotemporal dependencies features in the frequency domain through Fourier Graph Neural Network (FourierGNN) to capture complex spatiotemporal relationships, and improve computational efficiency and accurate modeling of spatiotemporal features. …”
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Regulation of BBB function and pathological evolution of PD by microenvironment “spatiotemporal gradient”: unique advantages of microfluidic chips by Sixun Yu, Lingli Jiang, Min Song, Tao Yang, Ma Yuan, Xin Chen, Haifeng Shu

“…This review examines the advancements of microfluidic chips in reproducing in vivo dynamic microenvironment gradients, regulating BBB function, and elucidating the pathological evolution of PD. It delves into the fundamental principles of microfluidic technology, gradient generation and control methodologies, and provides examples of BBB organoid models and PD pathological environment simulations constructed on this platform. …”
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Toward a thermodynamic theory of evolution: a theoretical perspective on information entropy reduction and the emergence of complexity by Carlos Mendoza Montano

“…Empirical support is drawn from diverse domains, including autocatalytic networks in prebiotic chemistry, genome streamlining in microbial evolution, predictive coding in neural systems, and ecosystem-level energy-information coupling. …”
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Fast2Vec, a modified model of FastText that enhances semantic analysis in topic evolution by Ayu Pertiwi, Azhari Azhari, Sri Mulyana

“…However, these topics often require manual interpretation, which poses challenges in constructing semantics topic evolution, mainly when topics contain negations, synonyms, or rare terms. …”
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Dynamics of recurrent neural networks with piecewise linear activation function in the context-dependent decision-making task by Kononov, Roman Andreevich, Maslennikov, O.  V., Nekorkin, Vladimir Isaakovich

“…Methods. An ensemble of neural networks with piecewise linear activation functions was constructed. …”
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Lifetime prediction of epoxy coating using convolutional neural networks and post processing image recognition methods by Fandi Meng, Yufan Chen, Jianning Chi, Huan Wang, Fuhui Wang, Li Liu

“…Initially, a targeted image recognition approach containing convolutional neural network (CNN) and post-processing was constructed for the crack area detection. …”
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Design and implementation of classical literature sentiment analysis system based on ensemble learning and graph neural network by Qianru Gao, Jiachen Huang

“…However, due to the long history and evolution of language, how to accurately grasp its connotation, especially its emotional color, has always been a dilemma for researchers. …”
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Evolution and model prediction of mechanical ventilation temperature field in high-geotemperature tunnels: Experimental analysis and machine learning by Feng Huang, Song Wang, Shuping Jiang, Dong Yang, Zheng Hu, Aichen Zheng

“…These significantly affect construction progress and personnel safety. Therefore, based on a self-developed ventilation and cooling test platform for high-geotemperature tunnels, the evolution laws and prediction of the temperature field in tunnel under mechanical ventilation were studied. …”
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