A Lightweight Classification Algorithm for External Sources of Interference in IEEE 802.15.4-Based Wireless Sensor Networks Operating at the 2.4 GHz by Sven Zacharias, Thomas Newe, Sinead O'Keeffe, Elfed Lewis

“…Furthermore, it has a maximum runtime of merely one second. The algorithm is extensively tested in a radio frequency anechoic chamber and in real world scenarios. …”
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Multi-Objective Improved Differential Evolution Algorithm-Based Smart Home Energy Management System Considering Energy Storage System, Photovoltaic, and Electric Vehicle by Mina GhasemiGarpachi, Moslem Dehghani, Mokhtar Aly, Jose Rodriguez

“…Also, by penetration of ESSs and PHEVs, the energy is bought at a low price-time, and then used for demand response and sold to the upstream in high-price periods. …”
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Study on Multi-Objective Optimization of Construction of Yellow River Grand Bridge by Jing Hu, Jinke Ji, Mengyuan Wang, Qingfu Li

“…The optimization result is 108 days earlier than the construction period specified in the contract, which is 9.612 million yuan less than the maximum cost, 6.3% higher than the minimum quality level, 11.1% lower than the maximum environmental pollution level, 4.8% higher than the minimum resource-saving level, and 3.36 million tons lower than the maximum carbon emission level. …”
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Self-adaptive multi-population quadratic approximation guided jaya optimization applied to economic load dispatch problems with or without valve-point effects by Sukriti Patty, Rajeev Das, Dharmadas Mandal, Provas Kumar Roy

“…Key findings include: 1) SMP-JaQA achieved the lowest generation cost of 111,490 $/hr for the 10-unit system, reducing costs by up to $2030 compared to other methods; 2) For the 38-unit system, SMP-JaQA provided a $5–$8/hr cost reduction, achieving 9,417,230.62$/hr, the lowest operational cost; 3) A significant difference of 2952.93$/hr is observed between SMP-JaQA and GA-API for the 40-unit system; 4) SMP-JaQA reduces costs by $59.44/hr for the 110-unit system; 5) For the 140-unit system, cost reductions of $1234.66/hr, $1040.89/hr, and $836.24/hr are achieved compared to SDE, GWO, and HHO, respectively; 6) A maximum reduction of $104.31/hr is noted for 160 unit system.Experimental results highlight SMP-JaQA's efficiency, robustness, and adaptability in solving complex, large-scale ELD problems while maintaining low computational costs. …”
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Prediction of birthweight with early and mid-pregnancy antenatal markers utilising machine learning and explainable artificial intelligence by Manohar Pavanya, Krishnaraj Chadaga, Vennila J, Akhila Vasudeva, Bhamini Krishna Rao, Srikanth Prabhu, Shashikala K Bhat

“…Abstract Low birthweight (LBW) is a significant health challenge worldwide, as these neonates experience both short- and long-term disabilities. …”
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Sub-Nanowatt Ultrasonic Bio-Telemetry Using B-Scan Imaging by Sri Harsha Kondapalli, Shantanu Chakrabartty

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A four-primary-color micro-LED display with wide color gamut, low blue light hazard, and promise to improve working efficiency in the working conditions by Peiyu Sun, Min Min, Qingfeng Wu, Weijun Huang, Qing Xiao, Wei Xiao, Chaodan Zheng

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Low Voltage Ride-Through Capability of Grid-Connected PV Systems: A Comparative Study of Grid-Following and Grid-Forming Converters Under Current Limits by Zainab M. Almesri, Hussain A. Hussain, Rashad M. Kamel

“…A detailed model of the overall grid-connected PV system is first developed, including the PV array with its parameters extracted from the datasheet, Maximum Power Point Tracking (MPPT) algorithm, power converter topology, modulation technique, converter control structure (GFM or GFL), and the filter. …”
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A real-time system for monitoring and classification of human falls on stairs using 2.4 GHz XBee3 micro modules with a tri-axial accelerometer and KNN algorithms by Apidet Booranawong, Sittiporn Sukveeraphan, Liangrui Pan, Nattha Jindapetch, Pornchai Phukpattaranont, Hiroshi Saito

“…Second, using the measured data, the signal vector magnitude (SVM) calculation, signal filtering using an exponentially weighted moving average (EWMA), feature extraction using the mean, maximum, interquartile range (IQR), standard deviation (STDEV), variance, and peak-to-peak (PTP) amplitude, and classification using the K-nearest neighbors (KNN) algorithm are applied. …”
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Harnessing greylag goose optimization for efficient MPPT and seven-level inverter in renewable energy systems by K. Rajaram, R. Kannan

“…RESs require interfaces to regulate the power generation. Maximum power point tracking (MPPT) is a technique employed in solar photovoltaic (PV) systems to modify operational parameters to ensureoptimal extraction of power from solar panels. …”
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Trapezoidal back projection for positron emission tomography reconstruction by Dóra Varnyú, Krisztián Paczári, László Szirmay-Kalos

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A Novel Low Temperature Cofired-Cordierite Ceramic Substrate-Based Compact Ultra-Wideband Circularly Polarized Array Antenna for C-Band Remote Sensing Application by Subuh Pramono, Josaphat Tetuko Sri Sumantyo, Muhammad Hamka Ibrahim, Ayaka Takahashi, Yuki Yoshimoto, Hisato Kashihara, Cahya Edi Santosa, Steven Gao, Koichi Ito

“…The back projection algorithm is applied to convert the received data into the scattering images and samples the maximum scattering intensities from the scattering images that are presented in scattering matrices. …”
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Bus frequency optimization in a large-scale multi-modal transportation system: integrating 3D-MFD and dynamic traffic assignment by Kai Yuan, Dandan Cui, Jiancheng Long

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Prediction of old goaf residual subsidence integrating EDS-InSAR with EsLSTM in the Loess Plateau, China by Fei Ma, Fei Ma, Qingbin Zhang, Lichun Sui

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Progressive noise photons removal from ICESAT-2 data based on the characteristics of different types of noise by Zhenyang Hui, Li Zhang, Shuanggen Jin, Wenbo Chen, Penggen Cheng, Yao Yevenyo Ziggah

“…Specifically, isolated noise photons are automatically identified using a multi-thresholding strategy based on the maximum between-clustering variance algorithm without requiring parameter tuning. …”
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Construction of enhanced MRI-based radiomics models using machine learning algorithms for non-invasive prediction of IL7R expression in high-grade gliomas and its prognostic value... by Jie Zhou

“…For selecting the most relevant features, we utilized the Minimum Redundancy Maximum Relevance (mRMR) and Recursive Feature Elimination (RFE) algorithms. …”
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The Influence of Process and Slag Parameters on the Liquid Slag Layer in Continuous Casting Mold for Large Billets by Zhijun Ding, Chao Wang, Xin Wang, Pengcheng Xiao, Liguang Zhu, Shuhuan Wang

“…In the continuous casting of special steel blooms, low casting speeds result in slow renewal of the molten steel surface in the mold, adversely affecting mold flux melting and liquid slag layer supply, which may lead to surface cracks, slag entrapment, and breakout incidents. …”
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Ultrasonic Signal Processing Method for Dynamic Burning Rate Measurement Based on Improved Wavelet Thresholding and Extreme Value Feature Fitting by Wenlong Wei, Xiaolong Yan, Juan Cui, Ruizhi Wang, Yongqiu Zheng, Chenyang Xue

“…Additionally, an extreme value feature fitting algorithm is introduced for accurate echo signal localization, even in low signal-to-noise ratio (SNR) conditions. …”
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Facilitating automated fact-checking: a machine learning based weighted ensemble technique for claim detection by Md. Rashadur Rahman, Rezaul Karim, Mohammad Shamsul Arefin, Pranab Kumar Dhar, Gahangir Hossain, Tetsuya Shimamura

“…This paper proposes a novel ensemble machine learning framework for the effective detection of claims in a low-resource language like Bangla, a critical initial step in the automated fact-checking process. …”
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Joint Adaptive Assessment of the State of Charge of Lithium Batteries at Varying Temperatures by Xuejuan Zhao, Zhigang Zhang, Xinyang Liu, Yuanxiao Cai

“…Through testing at various temperatures and working conditions and a comparison with the conventional joint method, the efficacy of the algorithm presented in this study is confirmed. The findings demonstrate that the maximum root mean square error is kept at 1.57% and that the joint VFFRLS-AEKF technique suggested in this paper can effectively predict the lithium battery SOC. …”
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