ECGNet: High-Precision ECG Classification Using Deep Learning and Advanced Activation Functions by Muhammad Abubakar, Ahsan Raza, Arfan Ali Nagra, Anas Bilal, Ahmad Alshammari, Monir Abdullah, Sahraoui Dhelim

“…The proposed AELU (Advanced Exponential Linear Unit) activation, with a learning rate of 0.001, addresses the vanishing gradient issues in ReLU and Sigmoid function, allowing the absolute values of the small negative gradient to be preserved, thereby introducing higher nonlinearity in the output and higher model flexibility. …”
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A Novel Algorithm for Adaptive Detection and Tracking of Extended Targets Using Millimeter-Wave Imaging Radar by Ge Zhang, Weimin Shi, Xiaofeng Shen, Qilong Miao, Chenfei Xie, Lu Chen

“…Compared to existing ET tracking algorithms, the proposed SPS method demonstrates superior universality in accommodating diverse scattering point distributions and integrates detection and tracking into a unified process, thereby significantly improving information utilization efficiency. The effectiveness of the algorithm is validated through extensive simulations and real-world data collected using a millimeter-wave (mmWave) imaging radar operating in the Linear Frequency Modulated Continuous Wave (LFMCW) mode.…”
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Deep TPS-PSO: Hybrid Deep Feature Extraction and Global Optimization for Precise 3D MRI Registration by Gayathri Ramasamy, Tripty Singh, Xiaohui Yuan, Ganesh R Naik

“…This article presents TPS-PSO, a hybrid deformable image registration framework integrating deep learning, non-linear transformation modeling, and global optimization for accurate inter-subject, intra-modality 3D brain MRI alignment. …”
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Optimized Method for Generating and Acquiring GPS Gold Codes by Khaled Rouabah, Salim Attia, Rachid Harba, Philippe Ravier, Sabrina Boukerma

“…We propose a simpler and faster Gold codes generator, which can be efficiently initialized to any desired code, with a minimum delay. …”
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Groundwater Storage Estimation in the Saskatchewan River Basin Using GRACE/GRACE-FO Gravimetric Data and Machine Learning by Mohamed Hamdi, Anas El Alem, Kalifa Goita

“…The prediction model was developed using a machine-learning approach based on multiple linear regression to estimate GWS variations as a function of various environmental parameters. …”
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Electrodeposition of Au Nanoparticles on 2D Layered Materials and Their Applications in Electrocatalysis of Nitrite by Oana Elena Carp, Mirela-Fernanda Zaltariov, Mariana Pinteala, Adina Arvinte

“…The morphological and electrochemical data demonstrate the efficiency of the electrodeposition process and the preferability of gold nanoparticles for certain attachment sites depending on the nature of the material used as a substrate and the deposition method used. …”
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Assessing the Ethanologenic Potential of Xylose-Fermenting Yeasts Scheffersomyces stipitis UCM Y-2810 by Daria Antonenko, Olena Mokrousova, Anna Oleshko, Olena Budyakova, Ihor Hretskyi, Marina Fomina

“…The application of the Box–Behnken design revealed that the statistically significant factors influencing ethanologenesis efficiency were xylose concentration, yeast cultivation duration, and the linear-quadratic interaction between these two factors. …”
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Hydrolyzed Karaya Gum: Gelatin Complex Coacervates for Microencapsulation of Soybean Oil and Curcumin by My Lan Nguyen Le, Hang Nga Le Thi, Vinh Tien Nguyen

“…Increasing the shell:core mass ratio from 1 to 4 resulted in a linear increase in encapsulation efficiencies for both soybean oil and curcumin. …”
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High-Performance Two-Stage DC/DC Converter Based on LADRC-PI Hybrid Control for PEM Electrolyzer Hydrogen Production by Qingshuai Yu, Zhenao Sun, Yetong Han, Tuanlong Zhang, Rongxing Zhang, Muhua Lin

“…The subsequent three-phase LLC stage operates at a fixed resonant frequency, achieving inherent output current ripple suppression through multi-phase cancellation while maintaining high conversion efficiency. A dual-loop control architecture incorporating linear active disturbance rejection control (LADRC) with PI compensation is developed to improve transient response compared to conventional PI-based methods. …”
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Review on velocity slip with thermal features of irregular heat transport enhancement of hybrid nanofluids by Mudassar Qamar, Masood Khan, Muhammad Yasir, A.S. Shflot, M.Y. Malik

“…The classical transformation is employed to alter the flow model of a hybrid nanofluid in the form of non-linear ODEs. The produced model is tackled numerically through the MATLAB solver bvp4c function. …”
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Local corner smoothing based on deep learning for CNC machine tools by Bai Jiang, Rong Sun, Ze-long Li, Liang Xu, Huang Liao, Xiao-yan Teng, Bing Li

“…Abstract Most of toolpaths for machining is composed of series of short linear segments (G01 command), which limits the feedrate and machining quality. …”
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Equilibrium and kinetic study for the adsorption of p-nitrophenol from wastewater using olive cake based activated carbon by N.T. Abdel-Ghani, E.S.A. Rawash, G.A. El-Chaghaby

“…The intraparticle diffusion mechanism also showed a good fit to the experimental data, showing two distinct linear parts assuming that more than one step could be involved in the adsorption of nitrophenol by the activated carbon. …”
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Managing Surcharge Risk in Strategic Fleet Deployment: A Partial Relaxed MIP Model Framework with a Case Study on China-Built Ships by Yanmeng Tao, Ying Yang, Shuaian Wang

“…We formulate the problem as a bi-objective mixed-integer programming model and prove that the ship chartering constraint matrix is totally unimodular, enabling the reformulation of the model into a partially relaxed MIP that preserves optimality while improving computational efficiency. We further analyze key mathematical properties showing that the Pareto frontier consists of a finite union of continuous, piecewise linear segments but is generally non-convex with discontinuities. …”
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Optimal Design Method of Integrated Energy Systems Considering Staged Planning and Equipment Replacement by Lei ZOU, Yiming TANG, Zhuping LIU, Zhengyong WU, Chao FANG, Chaoqun WANG, Fushuan WEN

“…As an important physical carrier of energy internet, an integrated energy system is of great significance for improving regional comprehensive energy efficiency, ensuring energy safety and realizing energy conservation and emission reduction. …”
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A study of an air-breathing electrodeless plasma thruster discharge by J. Zhou, F. Taccogna, P. Fajardo, E. Ahedo

“…At optimum power, the thrust efficiency for N2 and O surpasses that of Xe, which is caused by the excess of neutral re-ionization and the associated inelastic and wall losses. …”
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An Image-Based Technique for Measuring Velocity and Shape of Air Bubbles in Two-Phase Vertical Bubbly Flows by Giulio Tribbiani, Lorenzo Capponi, Tommaso Tocci, Martina Mengoni, Marco Marrazzo, Gianluca Rossi

“…Accurate knowledge of bubble velocity, shape, and volume is crucial as these parameters directly influence the efficiency of phase interaction and the mixing process performance. …”
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Three-Stage Robust Model for Resilient DERs Planning in Distribution Networks by Zun Guo, Ming Zhou, Jianxiao Wang, Zhaoyuan Wu, Gengyin Li

“…To simultaneously improve the economic efficiency and resilience of distribution networks, this paper proposes a three-stage robust planning model for siting and sizing distributed wind turbines, battery storages, and dispatchable generators (e.g., diesel generators) in distribution systems. …”
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Causal Physics-Infused Hybrid Learning (CPIHL) Framework for Next-Gen Battery Health Forecasting by Sahar Qaadan, Aiman Alshare, Rami Alazrai, Alexander Popp, Benedikt Schmuelling

“…The model incorporates the effects of temperature and voltage on internal resistance, effectively capturing the non-linear electrochemical behaviors that drive battery degradation. …”
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Air pressure forecasting for the Mutriku oscillating‐water‐column wave power plant: Review and case study by Jorge Marques Silva, Susana M. Vieira, Duarte Valério, João C. C. Henriques, Paul D. Sclavounos

“…Abstract The high variability and unpredictability of renewable energy resources require optimization of the energy extraction, by operating at the best efficiency point, which can be achieved through optimal control strategies. …”
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Vibrator Rack Pose Estimation for Monitoring the Vibration Quality of Concrete Using Improved YOLOv8-Pose and Vanishing Points by Bingyu Ren, Xiaofeng Zheng, Tao Guan, Jiajun Wang

“…This method integrates the Linear Spatial Kernel Aggregation (LSKA) module into the You Only Look Once (YOLO) framework to accurately detect the keypoints of the rack and then employs the vanishing point theorem to estimate the rotation angle of the rack without any 3D datasets. …”
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