Optimizing Planar Antenna Arrays Using Genetic Algorithms for Enhanced Radar Performance in Direction of Arrival Estimation by Methq Kadhum Alnoori, Malik Jasim Farhan, Enas F. Rawashdeh

“…This work describes a new methodology using GAs to obtain an optimal configuration of the antenna elements, allowing a considerable reduction in computational complexity. Using the ESPRIT algorithm for azimuth and elevation angle estimation, the proposed approach achieves an RMSE as low as 0.2 degrees under an SNR of 20 dB. …”
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Energy management strategy for methanol hybrid commercial vehicles based on improved dung beetle algorithm optimization. by Zhihao Li, Ping Xiao, Jiabao Pan, Wenjun Pei, Aoning Lv

“…This integration compensates for the traditional dung beetle algorithm's tendency to fall into local optima and enhances its global search capability. …”
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A novel algorithm for optimizing genset operations to minimize fuel consumption in remote diesel-RES microgrids by Issam Matragi, Alain Maiboom, Xavier Tauzia, Bruno Moricet, Yoann Thevenoux

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Electrical Fault Diagnosis Method for Tunneling Equipment Based on Fault Simulation and Optimized Particle Swarm Algorithm by Huan Zou, Xueping Zhang, Xin Wang, Yu Li

“…With 34.5% reduction in hardware resource consumption (0.9 W power, 57 MB memory), 1% false alarm/missed detection rate, and 27.9 ms response latency, the solution enables practical edge deployment. …”
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Integrating Bioengineering and Machine Learning: A Multi-Algorithm Approach to Enhance Agricultural Sustainability and Resource Efficiency by Senthil G.A., Prabha R., Asha R.M., Suganthi S.U., Sridevi S.

“…The novel research incorporates high-level machine learning algorithms for optimizing agricultural performance regarding sustainability and resource efficiencies. …”
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Hybrid Automata-Based Control Framework for Real-Time Optimization in Space-Based Solar Power Transmission by Patil Ankita, Ranjan Mritunjay, Deore Kalyani, Sonje Pranjal, Patil Kiran, Patil Rutuja

“…SBSP systems suffer from some serious challenges, such as beam angle error deviations, power transmission efficiency reduction, atmospheric disturbance, and space debris impact. …”
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Machine Learning-Based Seismic Response Prediction for Nuclear Power Plant Structures Considering Aging Deterioration by Hyunsu Kim, Soyeon Lee, Junsu Jang, Sihyeon An

“…Given that aging deterioration significantly influences the structural behavior of reinforced concrete (RC) nuclear power plant (NPP) structures, it is crucial to incorporate changes in the material properties of NPPs for accurate prediction of seismic responses. …”
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Water desalination using waste heat recovery of thermal power plant in tropical climate; optimization by AI by Ehsanolah Assareh, Mohammad Firoozzadeh, Mohammad Zoghi, Ali Zare, Yasaman Ghazi, Ali Shahin-Banna

“…This innovative system aims to optimize cost reduction, minimize CO2 emissions, and maximize both net output power & energy efficiency, simultaneously. …”
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medAL-suite: A software solution for creating and deploying complex clinical decision support algorithms by Ludovico Gennaro Cobuccio, Vincent Faivre, Rainer Tan, Alan Vonlanthen, Fenella Beynon, Emmanuel Barchichat, Alain Fresco, Quentin Girard, Sinan Ucak, Sylvain Schaufelberger, Ibrahim Evans Mtebene, Peter Agrea, Emmanuel Kalisa, Gillian A. Levine, Martin Norris, Sabine Renggli, Alix Miauton, Lisa Cleveley, Kristina Keitel, Julien Thabard, Valérie D’Acremont, Alexandra V. Kulinkina

“…Over 300,000 pediatric outpatient consultations have been completed in Rwanda and Tanzania to date using the digital algorithm. Discussion The medAL-suite focused on democratized development, process-centric design, point-of-care utility, touch-screen interface, low cost, and low power consumption to contribute to sustainable digital systems in low-resource settings. …”
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Autonomous Detection of Mineral Phases in a Rock Sample Using a Space-prototype LIMS Instrument and Unsupervised Machine Learning by Salome Gruchola, Peter Keresztes Schmidt, Marek Tulej, Andreas Riedo, Klaus Mezger, Peter Wurz

“…Autonomous isolation of mineral phases within the acquired mass spectrometric data is achieved with two dimensionality reduction techniques: uniform manifold approximation and projection (UMAP) and density-preserving variation of UMAP (densMAP), and the density-based clustering algorithm Hierarchical Density-Based Spatial Clustering of Applications with Noise (HDBSCAN). …”
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Emotion recognition with a Randomized CNN-multihead-attention hybrid model optimized by evolutionary intelligence algorithm by Syed Muhammad Salman Bukhari, Muhammad Hamza Zafar, Syed Kumayl Raza Moosavi, Filippo Sanfilippo

“…The synergy between the RCNN’s fixed-weight feature extraction and FTTA’s optimization capabilities demonstrates a powerful solution for emotion recognition systems. …”
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Consumer-Centric Rate Design for Peak Time Energy Demand Coincidence Reduction at Domestic Sector Level-A Smart Energy Service for Residential Demand Response by Swathi G, Srinivasa Varma P, Sudha Rani Donepudi, Ramash Kumar K

“…There is a great scope for peak demand coincidence reduction at the customer level, especially in the residential sector through Residential Demand Response programs. …”
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A Golden Jackal based optimal operation and optimization of a virtual power plant involving renewable resources by Anubhav Kumar Pandey, Chaima Mansour, Nandini K. K., Vinay Kumar Jadoun, Jayalakshmi N. S.

“…In particular, there is a reduction in cost by 2.1% and 0.62% when compared with the salp swarm algorithm and beluga whale algorithm followed by 2.12% and 1.18% in emission. …”
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Power Enhancement under Partial Shading Condition Using a Two-Step Optimal PV Array Reconfiguration by Mohamad Hossien Nahidan, Mehdi Niroomand, Behzad Mirzaeian Dehkordi

“…As a result, a mismatch between the modules, a reduction in the power generated, and the hotspot phenomenon will be observed. …”
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Hybrid GOA and PSO optimization for load frequency control in renewable multi source dual area power systems by Muhammad Zubair Yameen, Abdul Khalique Junejo, Zhigang Lu, Rizwan Aziz Siddiqui, Fayez F. M. El-Sousy, Ibtisam Naveed

“…These fluctuations can compromise the reliability and quality of power delivered to end-users. To address these challenges, this paper proposes a novel Proportional-Integral-Derivative (PID) controller optimized using a hybrid Grasshopper Optimization Algorithm-Particle Swarm Optimization (GOA-PSO) approach. …”
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Design of Low-Power Structural FIR Filter Using Data-Driven Clock Gating and Multibit Flip-Flops by Lamjed Touil, Abdelaziz Hamdi, Ismail Gassoumi, Abdellatif Mtibaa

“…The combination of these methods into a single algorithm enables further power saving of the FIR filter. …”
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Adaptive multi-agent reinforcement learning for dynamic pricing and distributed energy management in virtual power plant networks by Jian-Dong Yao, Wen-Bin Hao, Zhi-Gao Meng, Bo Xie, Jian-Hua Chen, Jia-Qi Wei

“…This paper presents a novel approach to dynamic pricing and distributed energy management in virtual power plant (VPP) networks using multi-agent reinforcement learning (MARL). …”
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Gravitational Search Algorithm and Selection Approach for Optimal Distribution Network Configuration Based on Daily Photovoltaic and Loading Variation by Koong Gia Ing, H. Mokhlis, H. A. Illias, M. M. Aman, J. J. Jamian

“…GSA based proposed method is also compared with Evolutionary Programming (EP) to examine the effectiveness of GSA algorithm. Obtained results show that the proposed optimal daily configuration method is able to improve the distribution network performance in term of its power loss reduction, number of switching minimization and voltage profile improvement.…”
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Optimizing PAPR performance for 6G OTFS waveform using adaptive genetic PTS method for Rician fading channels by Arun Kumar, Aziz Nanthaamornphong, Nishant Gaur

“…Abstract This paper proposes a novel method for reducing the peak-to-average power ratio (PAPR) in orthogonal time–frequency space (OTFS) modulation over Rician fading channels using an adaptive genetic algorithm-based partial transmit sequence (AGA-PTS) technique. …”
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A Device for the Rapid Detection of Benzodiazepines and Synthetic Cannabinoids via Fluorescence Spectroscopy and Machine Learning by A. Power, M. Gardner, C. Pudney

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