Energy Demand Response in a Food-Processing Plant: A Deep Reinforcement Learning Approach by Philipp Wohlgenannt, Sebastian Hegenbart, Elias Eder, Mohan Kolhe, Peter Kepplinger

“…By leveraging the adaptive, self-learning capabilities of RL, energy costs in the investigated plant are effectively decreased. The RL algorithm was compared with the well-established optimization method Mixed Integer Linear Programming (MILP), and both were benchmarked against a reference scenario without DR. …”
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Structural Parameter Design of Magnetic Pulse Welding Coil for Dissimilar Metal Joints: Numerical Simulation, Parameter Optimization, and Experiments by Yangfan Qin, Changhui Ji, Hao Jiang, Yuefan Jiang, Junjia Cui, Guangyao Li

“…Moreover, 30 kJ of discharge energy should be needed to achieve the failure mode of base material failure with the original coil, while only 15 kJ should be applied to the optimized coil. …”
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Molecular Identification of Snapper (Perciformes: Lutjanidae) Landed at Pondokdadap Fishing Port of Sendang Biru, Malang, Indonesia by Sapto Andriyono, Novian Aji Pradana, Laksmi Sulmartiwi, Andi Aliah Hidayani, Md. Jobaidul Alam, Adrian Damora, Ahasan Habib

“…Based on the results of the compilation of the phylogenetic tree, it can be seen that the L. bengalensis sample is closely related to L. rufolineatus while L. gibbus, and L. erythropterus each form a separate clade from the two previous Lutjanus species. …”
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Bladder drainage methods for acute urinary retention due to benign prostatic hyperplasia: patient-preference analysis by A. I. Volnukhin, D. Yu. Pushkar, V. A. Malkhasyan

“…Among the 200 patients, 151 (75.5 %) preferred intermittent catheterization, while 40 (25.5 %) chose an indwelling urinary catheter. …”
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Tomato classification with YOLOv8: Enhancing automated sorting and quality assessment by Viviana Moya, Michael Guerra, Karina Pazmiño, Faruk Abedrabbo, Fernando A. Chicaiza, David Pozo-Espín

“…This study presents the design and implementation of an automated system for sorting and measuring kidney tomatoes using a YOLOv8 model with a size estimation algorithm. The proposed system integrates computer vision and deep learning with a physical sorting mechanism to categorize tomatoes into three classes: green, red, and damaged, while also determining their size. …”
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DIFshilling: A Diffusion Model for Shilling Attacks by Weizhi Chen, Xingkong Ma, Bo Liu

“…Unlike traditional methods, DIFshilling is independent of the specific recommendation algorithm, making it highly transferable across various RSs. …”
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Relational model of public-private partnership in railway transport by N. F. Sirina, V. P. Pershin

“…Positive dynamics of socially oriented indicators, unaccounted in the agreement of the parties, reflect the presence of benefits from joint activities and positive relational effect, while negative change — about its absence.Based on the studies performed, a mechanism for controlling operating costs based on an integral assessment has been proposed, which makes it possible to analyze the actual direct costs of partners and compare deviations from the established standards. …”
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Flexible self-rectifying synapse array for energy-efficient edge multiplication in electrocardiogram diagnosis by Younghyun Lee, Hakseung Rhee, Geunyoung Kim, Woon Hyung Cheong, Do Hoon Kim, Hanchan Song, Sooyeon Narie Kay, Jongwon Lee, Kyung Min Kim

“…Then, we design a neural network training algorithm through hardware-aware approaches and conduct real-time edge ECG diagnosis. …”
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Amismart an advanced metering infrastructure for power consumption monitoring and forecasting in smart buildings by Sarah Hadri, Mehdi Najib, Mohamed Bakhouya, Youssef Fakhri, Mohamed El aroussi, Zaradatcht Taifour, Jaafar Gaber

“…A single Machine learning algorithm using Long Short-Term Memory (LSTM) and hybrid Machine learning algorithms (CNN-LSTM), and ensembles machine learning approaches including eXtreme Gradient Boosting Machine (XGBoost) and Random Forest (RF). …”
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A Robust Game Approach for On Spot Price Cloud Markets in Microservice-Based Applications by Hamta Sedghani, Mauro Passacantando, Riccardo Lancellotti, Mina Zolfy Lighvan, Danilo Ardagna

“…Furthermore, we propose a best-reply algorithm to identify a robust GNE, ensuring that the solution remains feasible even under the worst-case scenarios of uncertain parameters. …”
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Machine learning and AVO class II workflow for hydrocarbon prospectivity in the Messinian offshore Nile Delta Egypt by Nadia Abd-Elfattah, Aia Dahroug, Manal El Kammar, Ramy Fahmy

“…The workflow integrates seismic spectral decomposition and machine learning algorithms to identify subtle anomalies, including low seismic amplitude gas sand and background amplitude water sand. …”
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Huffman coding-based data reduction and quadristego logic for secure image steganography by Irsyad Fikriansyah Ramadhan, Ntivuguruzwa Jean De La Croix, Tohari Ahmad, Andre Uzamurengera

“…To address these challenges, this study proposes a novel steganographic algorithm integrating two key innovations: (1) Enhancement of stego image quality via stego image’s segmentation into four images, reducing concentration-induced distortions, and (2) optimization of data embedding through Huffman coding through a lossless compression minimizing the embedding-induced distortions while maximizing payload capacity. …”
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Optimal Power Flow for High Spatial and Temporal Resolution Power Systems with High Renewable Energy Penetration Using Multi-Agent Deep Reinforcement Learning by Liangcai Zhou, Long Huo, Linlin Liu, Hao Xu, Rui Chen, Xin Chen

“…A heterogeneous multi-agent proximal policy optimization (H-MAPPO) DRL algorithm is introduced for multi-area power systems. …”
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PyAMARES, an Open-Source Python Library for Fitting Magnetic Resonance Spectroscopy Data by Jia Xu, Michael Vaeggemose, Rolf F. Schulte, Baolian Yang, Chu-Yu Lee, Christoffer Laustsen, Vincent A. Magnotta

“…<b>Background/Objectives</b>: Magnetic resonance spectroscopy (MRS) is a valuable tool for studying metabolic processes in vivo. While numerous quantification methods exist, the advanced method for accurate, robust, and efficient spectral fitting (AMARES) is among the most used. …”
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Classification and Physical Characteristic Analysis of Fermi-GBM Gamma-Ray Bursts Based on Deep Learning by Jia-Ming Chen, Ke-Rui Zhu, Zhao-Yang Peng, Li Zhang

“…The analysis also shows that most GRBs associated with kilonovae belong to the S type, while those associated with supernovae are predominantly L type, with few exceptions. …”
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Genetic Diversity in the Capsid Protein-Coding Region of HIV-1 Circulating in Benguela, Angola: Implications for Primary Resistance to the Novel Capsid Inhibitor Lenacapavir by Gonçalo Queirós, Lesya Yefimenko, Filomena M. Pereira, João Piedade

“…Primary resistance mutations to LEN were identified using Stanford University’s HIVdb algorithm. Among the 80 successfully sequenced samples, 13 different genetic forms/subtypes were identified, with unique recombinant forms (URFs) (37.5%, 30/80) and subtype C (31.25%, 25/80) being the most prevalent. …”
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A Multi-Spatial Scale Ocean Sound Speed Prediction Method Based on Deep Learning by Yu Liu, Benjun Ma, Zhiliang Qin, Cheng Wang, Chao Guo, Siyu Yang, Jixiang Zhao, Yimeng Cai, Mingzhe Li

“…The core concept involves accounting for the coupling effects among various spatial scales while extracting temporal and spatial information from the data and assigning appropriate weights to different spatiotemporal entities. …”
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Potential of solar-induced chlorophyll fluorescence for monitoring long-term dynamics of soil salinity in Central Asia the Xinjiang Region China by Kuangda Cui, Kuangda Cui, Jianli Ding, Jianli Ding, Jinjie Wang, Jinjie Wang, Jiao Tan, Jiao Tan, Lijing Han, Jiangtao Li, Jiangtao Li

“…Using a random forest algorithm, soil salinity was classified into five levels based on satellite data and ground references from 2000–2020. …”
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Real-time prediction of HFNC treatment failure in acute hypoxemic respiratory failure using machine learning by Xiaojie Li, Chunliang Jiang, Qingyan Xie, Huiquan Wang, Jiameng Xu, Guanjun Liu, Panpan Chang, Guang Zhang

“…The soft-voting ensemble algorithm achieved an optimal predictive performance with an AUC of 0.839 (95% CI 0.786–0.889) for the all-features model, while logistic regression using common features achieved an AUC of 0.767 (95% CI 0.704–0.825), outperforming ROX and mROX indices. …”
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Multiplicity and stability of solutions in transport phenomena of non-Newtonian Carreau nanofluid with nonlinear Rosseland thermal approximations and neural prediction by Puneet Rana, Xinyi Zhu, Ioan Pop

“…To analyse the relationship between the three Nusselt numbers and various controlling parameters, artificial neural network (ANN) training algorithms are utilized and compared, incorporating five input variables. …”
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