Harmonic Path Integral Diffusion by Hamidreza Behjoo, Michael Chertkov

“…Formulated as a Stochastic Optimal Control problem, H-PID balances control effort and accuracy through a unique three-level integrable structure: Top Level: Potential, force, and gauge terms combine to form a linearly solvable Path Integral Control system based on Green functions. …”
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Modeling of settlement of shallow-founded rocking structures using explainable physics-guided machine learning by Sivapalan Gajan, Christopher Kantor

“…To shed light on the explainability of ML and PGML models, Shapley Additive Explanations (SHAP values) are used to decipher and interpret the model predictions and their dependency on input features. It is found that PGML models, especially physics-guided gradient boosting and random forest regression, improve the prediction accuracy when compared to their purely data-driven ML counterparts by combining the knowledge extracted from experimental data with the mechanics of the problem considered. …”
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High resolution descriptors for UAV mapping in biodiversity conservation - A case study of sandy steppe habitat renewal. by Maja Arok, Branko Brkljač, Predrag Lugonja, Bojana Ivošević, Milan Vukotić, Tijana Nikolić Lugonja

“…Despite high resolution imaging, the method solves a challenging problem of UAV vegetation mapping in the case of limited spectral and spatial information in the image (by using only RGB camera and multitemporal approach). …”
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Accelerating Training of Convolutional Neural Networks With Hessian-Free Optimization for Detecting Alzheimer’s Disease in Brain MRI by Marios Pafitis, Maria Constantinou, Chris Christodoulou

“…Convolutional neural network (CNN) classifiers, which perform feature extraction from brain magnetic resonance imaging (MRI) data and classify them as healthy or diseased, are very promising in aiding the diagnosis of neurological disorders. …”
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Towards Explainable Graph Embeddings for Gait Assessment Using Per-Cluster Dimensional Weighting by Chris Lochhead, Robert B. Fisher

“…There is a “black box” problem with existing machine learning models, where healthcare professionals are expected to “trust” the model making diagnoses without understanding its underlying reasoning. …”
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Circular saw blade wear status prediction based on generative adversarial network and CNN-LSTM model. by Chao Zeng, Chengchao Wang, Xueqin Xiong, Xiangjiang Wang, Sheng Xiao

“…The main challenges include deficiency of data acquisition, signal features extracting complex process, and insufficient robustness of models. …”
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Variations in Lorica Morphology and Element Composition in the Euglenoid Trachelomonas hispida var. coronata Under the Influence of Fe and Mn Supply by Małgorzata Poniewozik, Mateusz Kudlak, Emil Zięba

“…The specimens of this variety, apart from their species-specific features, such as an ellipsoidal lorica covered with strong, sharp spines, have a crown consisting of long spines surrounding the apical pore opening. …”
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“We Need to Think about the Grammar”: Practices for Opening Explanations on Language and Changing their Linguistic Focus by Mark Romig

“…In a nutshell, openings involve some problematization of prior talk, cores provide a candidate solution to said problem, and closings involve acceptance of that candidate solution. …”
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A New Cooperative Anomaly Detection Method for Stacker Running Track of Automated Storage and Retrieval System in Industrial Environment by Darong Huang, Mengting Lin, Lanyan Ke, Zhenping Deng

“…In addition, a cooperative detection method based on PCNN and wavelet transform theory is carried out based on the space-time distribution feature of the vibration of the stacker orbits in the industrial environment. …”
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FINITE-ELEMENT MODELLING OF PIEZOELECTRIC ENERGY STORAGE DEVICE BASED ON CANTILEVER by Arkady Nikolayevich Solovyev, Duong Le Van

“…These results are also presented graphically that allows a des igner to select reasonable feature sizes and the mix of ma terials to optimize the device.…”
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Conformalons: a new class of black hole mimickers by Leonardo Modesto, Ali Akil, Cosimo Bambi

“…Therefore, for such vacuum solutions the surface $$r = 2 M$$ r = 2 M becomes an asymptotic region of the Universe. As a general feature, all conformalons show a gravitational blueshift instead of a gravitational redshift at the unattainable Schwarzschild event horizon, hence avoiding the Trans-Planckian problem in the Hawking evaporation process. …”
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Statistical considerations in the analysis of minirhizotron data and a review of current practice in agronomic research by Simon Riley, Edzard vanSanten

“…Alongside these advantages and opportunities, however, minirhizotron data also feature a number of idiosyncrasies with potentially important implications for their analysis, including (i) doubly repeated measures in time and space, (ii) non‐normal data with a potentially large number of zeros, and (iii) data subjected to spatial aggregation and, thus, the modifiable areal unit problem. …”
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The Application of a Marine Weather Data Reconstruction Model Based on Deep Super-Resolution in Ship Route Optimization by Shangfu Li, Junfu Yuan, Zhizheng Wu

“…In addition, the attention mechanism is integrated into the model to dynamically adjust the weights of different weather features, which further enhances the attention to key features. …”
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Domain adaptive English aspect word extraction method based on bidirectional long and short-term memory network and multi-head attention mechanism by Tianxiao Wang

“…Secondly, by parallel aspect extraction and aspect emotion classification task channel, it uses the BERT, bidirectional long and short term memory networks (Bi-LSTM) and multi-head self-attention to extract deeper semantic information, near and far feature information. Finally, conditional random field (CRF) classifier and Softmax classifier are used for classification. …”
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Merab Mamardashvili: Event of Thought and Pedagogic Practice by D. G. Ryndin

“…The article presents an attempt to analyze the inner structure of Merab Mamardashvili’s oral philosophical speech, that can be considered a distinctive feature of the series of lection courses, which he held in the late 70-ies – beginning of 80-ies mainly for the audience of non-philosophers. …”
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Temporal Relational Graph Convolutional Network Approach to Financial Performance Prediction by Brindha Priyadarshini Jeyaraman, Bing Tian Dai, Yuan Fang

“…Financial knowledge graphs (FKGs) offer a structured representation for tackling this problem by representing complex financial relationships and concepts. …”
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CEEMDAN-IHO-SVM: A Machine Learning Research Model for Valve Leak Diagnosis by Ruixue Wang, Ning Zhao

“…Due to the complex operating environment of valves, when a fault occurs inside a valve, the vibration signal generated by the fault is easily affected by the environmental noise, making the extraction of fault features difficult. To address this problem, this paper proposes a feature extraction method based on the combination of Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) and Fuzzy Entropy (FN). …”
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Collaborative Optimization Strategy for Dependent Task Offloading in Vehicular Edge Computing by Xiting Peng, Yandi Zhang, Xiaoyu Zhang, Chaofeng Zhang, Wei Yang

“…The integration of LSTM and a self-attention mechanism into the LT-TD3 network boosts its capability for feature extraction and representation. Additionally, considering task dependency, a topological sorting algorithm is employed to assign priorities to subtasks, thereby improving the efficiency of task offloading. …”
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An Intelligent Decision-Making Approach for Multi-Ship Traffic Conflict Mitigation from the Perspective of Maritime Surveillance by Shaobo Wang, Yiyang Zou, Xiaohui Wang

“…In order to solve the problem of ship navigation safety supervision under multi-ship conflict scenarios, it is urgent to build an intelligent conflict mitigation decision-making model. …”
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To not nurture a war – education against violence (Girard - Patočka) by Krzysztof Maliszewski

“…After a critical introduction to the contemporary reaction of education to violence, he first outlines Girard's concept of the mimetic mechanism, then emphasizes three ideas present in it (with references to the nowadays): violence as an anthropological feature embedded in the human condition, unawareness of one's own violence and unanimity of the persecuting crowd. …”
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