Characterization and control of Shape Memory Alloy-based actuators for heavy payloads displacement by Dorin Copaci, Andres Lopez Palenzuela, Luis Moreno, Santiago Martínez, Carlos Balaguer

“…Additionally, various heating methods for Shape Memory Alloys wires are analyzed: direct heating by Joule effect and external heating. …”
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Enhancing PV feed-in power forecasting through federated learning with differential privacy using LSTM and GRU by Pascal Riedel, Kaouther Belkilani, Manfred Reichert, Gerd Heilscher, Reinhold von Schwerin

“…Data-driven methods facilitate efficient supply and demand management in smart grids, but predicting solar power remains challenging due to weather dependence and data privacy restrictions. …”
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Development of a data-driven urban immunity assessment model: providing a new benchmark for urban governance under public health emergencies by Peng Cui, Peng Cui, Saiya Cao, Ruize Qin, Fan Zhang

“…Therefore, this project draws inspiration from the principles of the human immune system, introduces the concept of urban immunity to characterize the level of urban governance under PHEs, and follows the approach of “feature decoding → mechanism analysis → spatiotemporal measurement → trend prediction → model optimization → decision output.” It refines the theoretical framework of urban immunity, analyzes urban immune response mechanisms, develops an immunity indicator system, assesses the spatiotemporal patterns of urban immunity, and builds a decision-making model using intelligent optimization methods to generate optimized solutions for different scenarios. …”
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Aero Engine Component Fault Diagnosis Using Multi-Hidden-Layer Extreme Learning Machine with Optimized Structure by Shan Pang, Xinyi Yang, Xiaofeng Zhang

“…Meanwhile it controls the model complexity and needs far less hidden nodes than multi-hidden-layer ELM, thus saving computer memory and making it more efficient to implement. All these advantages make our method an effective and reliable tool for engine component fault diagnosis tool.…”
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State of Charge Estimation for Lithium-Ion Battery Based on Fractional-Order Kreisselmeier-Type Adaptive Observer by Tomoki Murakami, Hiromitsu Ohmori

“…Firstly, we constructed a fractional-order battery model that includes pseudo-capacitance and determined the values of the circuit elements offline using the least squares method from actual input–output data based on the driving profile of an automobile. …”
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Web‐based application for threatened woodland caribou population modeling by Daniel R. Eacker, Mark Hebblewhite, Robin Steenweg, Mike Russell, Amy Flasko, Dave Hervieux

“…We expect our software will contribute to efficient monitoring of woodland caribou and help in the assessment of recovery actions for this species. © 2019 The Authors. …”
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Application of Concentration-Area fractal modeling and artificial neural network to identify Cu, Zn±Pb geochemical anomalies in Hashtjin area, NW of Iran by Ali Imamalipour, Hamed Ebrahimi, Amir reza Abdollahpur

“…The results obtained from applying the fractal method to the output of the deep autoencoder method indicated a potentially favorable area for the mineralization with approximately 9,047,500 m² In the predictive map obtained in the northeast of the studied area, an area with high mineralization potential is introduced, which is geologically represented by the Upper Jurassic (Lar Formation) and Cretaceous formation controlled by, fault boundaries and in the northeastern part of the Hashtjin. …”
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Comparative analysis of machine learning algorithms for money laundering detection by Sunday Adeola Ajagbe, Simphiwe Majola, Pragasen Mudali

“…The findings underscore the potential of ML algorithms capability to combat money laundering and indeed enhance anti-money efforts and offer financial institutions a powerful, resource-efficient method for fraud detection in large-scale transaction environments.…”
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Longitudinal Hierarchical Control of Autonomous Vehicle Based on Deep Reinforcement Learning and PID Algorithm by Jialu Ma, Pingping Zhang, Yixian Li, Yuhang Gao, Jiandong Zhao

“…Results demonstrate that the longitudinal control method proposed herein adeptly manages vehicle speed and following distance, thus satisfying the safety requirements of AVs.…”
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Optimum Control Strategy and Performance Simulation of a Constant Temperature and Humidity Air-conditioning System by Li Shen, Shen Jia, Zhang Xuejun, Zheng Youming

“…The system is energy-efficient with a rate of 30% under low temperature high humidity condition and about 50% under high temperature and low humidity condition, compared with the conventional system.…”
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“Optimizing the Optimization”: A Hybrid Evolutionary-Based AI Scheme for Optimal Performance by Agathoklis A. Krimpenis, Loukas Athanasakos

“…Optimization algorithms for solving technological and scientific problems often face long convergence times and high computational costs due to numerous input/output parameters and complex calculations. This study focuses on proposing a method for minimizing response times for such algorithms across various scientific fields, including the design and manufacturing of high-performance, high-quality components. …”
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State-Flow Control Based Multistage Constant-Current Battery Charger for Electric Two-Wheeler by P. Balamurugan, Prakhar Agarwal, Devashish Khajuria, Devbrat Mahapatra, S. Angalaeswari, L. Natrayan, Wubishet Degife Mammo

“…The results show that the proposed charging technique with a state flow control approach gives effective and efficient output with reduced THD. Simulation results disclose that the desired parameters are controllable, stable, and effective within the operational limits.…”
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A Deep-Neural-Network-Based Surrogate Model for DC/AC Converter Topology Selection Using Multi-Domain Simulations by Gabriel Avila Saccol, Van-Hai Bui, Wencong Su

“…Results are presented to demonstrate the feasibility of the proposed method.…”
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Sustainable development of bioenergy and soil enhancement based on Kemiri Sunan (Reutealis trisperma) oil and bioprocessing waste by Sulistyo Joko, Dewi Irra Chrisyanti

“…The study employed a bioprocessing method that includes oil extraction and bioprocessing of solid waste into soil enhancers through enzymatic composting fermentation. …”
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Fuzzy Systems Based Voltage Control of Buck Converter for Vehicles with 48V E/E Architecture by KARADENIZ Ahmet Mehmet, KOCAK Nuri Furkan

“…This paper investigates the efficiency of PID and Fuzzy Logic Control approaches as a voltage control method in vehicles with 48V E/E architecture. …”
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Topology of non-inductive DC/DC converters with galvanic isolated circuits by V. P. Babenko, V. K. Bityukov

“…It is proved that the charge pumping method is simple and effective at low load currents (mA units), when both the voltage transfer coefficient from input to output and efficiency are high, and are approaching to “one”. …”
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Designing a supply chain resilience assessment model with the approach of NDEA(case of study: government hospitals of Yazd province) by Mohsen Shafiei Nikabadi, Fereshteh Bahrami

“…Data envelopment analysis is a mathematical programming approach, one of the non-parametric methods of evaluating the performance and ranking of homogeneous decision-making units (Pratab Singh et al., 2022) which is also used for relative evaluation using multiple inputs and outputs. …”
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Suppress or Not to Suppress … CRAFT It: A Targeted Metabolomics Case Study Extracting Essential Biomarker Signals Directly from the Full ¹H NMR Spectra of Horse Serum Sa... by James Chen, Ayelet Yablon, Christina Metaxas, Matheus Guedin, Joseph Hu, Kenith Conover, Merrill Simpson, Sarah L. Ralston, Krish Krishnamurthy, István Pelczer

“…Relatively complicated, yet very efficient experimental methods have been introduced recently (DIRE, JEDI) to suppress the rest of the spectrum, thus allowing measurement of these integrals of interest. …”
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Feature fusion ensemble classification approach for epileptic seizure prediction using electroencephalographic bio-signals by Yazeed Alkhrijah, Yazeed Alkhrijah, Shehzad Khalid, Shehzad Khalid, Syed Muhammad Usman, Amina Jameel, Muhammad Zubair, Haya Aldossary, Aamir Anwar, Saad Arif

“…It is then fed into three classifiers, including support vector machines, random forest, and long short-term memory (LSTM) units. The output of these classifiers is then fed into the model-agnostic meta learner ensemble classifier with LSTM as the base classifier for the final prediction of interictal and preictal states.ResultsThe proposed methodology is trained and tested on the publicly available CHB-MIT dataset while achieving 99.34% sensitivity, 98.67% specificity, and a false positive alarm rate of 0.039.DiscussionThe proposed method not only outperforms the existing methods in terms of sensitivity and specificity but is also computationally efficient, making it suitable for real-time epileptic seizure prediction systems.…”
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Influence of Microwave Thermohydrolysis on Biomass Digestion by Anna Nowicka, Magda Dudek, Marcin Dębowski, Marek Markowski, Ireneusz Białobrzewski, Marcin Zieliński

“…This study analyzed the effects of thermohydrolysis on the anaerobic conversion efficiency of lignocellulosic biomass, comparing conventional and microwave heating methods. …”
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