Inverse Synthetic Aperture Radar Sparse Imaging Recovery Technique Based on Improved Alternating Direction Method of Multipliers by Hongxing Hao, Wenjie Zhu, Ronghuan Yu, Desheng Liu

“…The algorithm accelerates the convergence of the algorithm by dynamically adjusting iterative parameters in the iterative process. …”
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Flood control data push method of large reservoir based on artificial intelligence technology by Fei He, Xueming Li

“…By constructing a multi-objective flood control data push model and combining with convolutional neural network algorithm, the data transmission from the database to the data stream and then to the model is realized. …”
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Synthesis and characterization of hematite nanomaterials imprinted with acetone, ethanol and methanol for AI-Based IoT gas sensor arrays by Rana M. Abdelghani, Abd El-Hady B. Kashyout, Iman Morsi, Taha Elsayed Taha, Naglaa F. Soliman, Walid El-Shafai

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Fitting of nonnegative physical models based on statistical divergence: application to thermally stimulated depolarization currents by Yasunobu Ando, Shusuke Kasamatsu, Suguru Iwasaki, Yumi Tanaka

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Big data-based optimized model of building design in the context of rural revitalization by Wang Lei

“…Rural revitalization policy is an important strategic measure of the country, and optimizing the design of public buildings is an important step in achieving rural revitalization. The research innovatively focuses on energy consumption in public buildings and introduces a novel multi-objective particle swarm optimization algorithm (BBMOPSO-A [backbone multi-objective particle swarm optimization algorithm]), which is designed to address the characteristics of building energy consumption (BEC, the total amount of energy consumed in the operation of a building). …”
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Early Detection of Alzheimer’s Disease via Machine Learning-Based Microwave Sensing: An Experimental Validation by Leonardo Cardinali, Valeria Mariano, David O. Rodriguez-Duarte, Jorge A. Tobón Vasquez, Rosa Scapaticci, Lorenzo Crocco, Francesca Vipiana

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Predicting Optimum Moisture Content by the individual and hybrid approach of machine learning by Yinghui Yang, Yahui Dai, Qunting Yang

“…Machine learning offers a promising alternative by enabling the creation of advanced predictive models and algorithms that can improve the accuracy and efficiency of OMC predictions compared to traditional empirical methods. …”
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Explainable Predictive Factors for Inter-Agency Partnership Success by Nicola Drago, Goncalo Afonso Braz, Tullio Vardanega

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Wireless Sensor Networks Focusing on Predicting Average Localization Error through Machine Learning Applications by Ioanna Gounari, Mattheos Kanzilieris

“…These findings highlight the competitive advantage of the DTRT model in this context. This research offers valuable insights into the effectiveness of different ML algorithms for predicting ALE in WSNs. …”
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Improved performance of single sided axial flux for reduction in cogging torque (IMPACT) by Ahmed Dawood, Junaid Ikram, Muhammad Bilal Riaz, Khurram Saleem Alimgeer, Shumaila Javeed

“…For high efficiency, stator sided iron must be unsaturated and torque ripples are nearby zero. Research aims to design and optimize Single Sided Slotless AFPM machines. …”
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Super-Twisting MRAS Observer-Based Non-linear Direct Flux and Torque Control for Induction Motor Drives by Ammar Abdelkarim, Belaroussi Oussama, Benakcha Meryem, Zemmit Abderrahim, Ameid Tarek

“…This research paper proposes a novel design of an efficient combined sliding mode observer (SMO) for induction motor flux and speed estimation. …”
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Framework for truck–RPAS hybrid models in last-mile delivery by Armin Mahmoodi, Leila Hashemi, Jeremy Laliberte

“…High-quality Pareto-optimal solutions are produced by the non-dominated sorting genetic algorithm II, which methodically manages trade-offs between the conflicting goals. …”
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Data-driven Detection and Identification of Line Parameters with PMU and Unsynchronized SCADA Measurements in Distribution Grids by Jinping Sun, Qifang Chen, Mingchao Xia

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Optimization of Integrated Energy System Coupled with Power-to-Gas and Carbon Capture and Storage Equipment under Demand Response Incentive by Yuefen GAO, Chengbo YUN, Fanpeng KONG, Xuesong WANG

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Machine Learning and Deep Learning Models for Dengue Diagnosis Prediction: A Systematic Review by Daniel Cristobal Andrade Girón, William Joel Marín Rodriguez, Flor de María Lioo-Jordan, Jose Luis Ausejo Sánchez

“…In response to this crisis, there has been a notable increase in research employing machine learning and deep learning algorithms to anticipate diagnosis in patients with suspected dengue. …”
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Advancing overbreak prediction in drilling and blasting tunnel using MVO, SSA and HHO-based SVM models with interpretability analysis by Yulin Zhang, Jian Zhou, Jialu Li, Biao He, Danial Jahed Armaghani, Shuai Huang

“…To address these limitations, this research proposes three innovative hybrid models that integrate metaheuristic optimization algorithms with support vector machine (SVM): multi-verse optimizer-SVM (MVO-SVM), salp swarm algorithm-SVM (SSA-SVM), and Harris’s Hawk optimization-SVM (HHO-SVM). …”
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Analysis of the existing approaches to in-flight aircraft rerouting by M. A. Kiselev, Yu. S. Kalyuzhny, A. V. Karpov, Yu. V. Petrov

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Study on an interpretable prediction model for pile bearing capacity based on SHAP and BP neural networks by Shunbo Li, Mingwei Hai, Qi Zhang, Bin Zhou, Miao Wang, Zhuo Zhao

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Cognitive load assessment through EEG: A dataset from arithmetic and Stroop tasksMendeley Data by Ali Nirabi, Faridah Abd Rahman, Mohamed Hadi Habaebi, Khairul Azami Sidek, Siti Yusoff

“…The proposed dataset serves as a valuable resource for advancing research in the realm of brain-computer interfaces and offers insights into identifying EEG patterns associated with stress.The proposed dataset serves as a valuable resource for researchers, offering insights into identifying EEG patterns that correlate with different stress states. …”
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A Trusted Sharing Strategy for Electricity in Multi-Virtual Power Plants Based on Dual-Chain Blockchain by Wei Huang, Chao Zheng, Xuehao He, Xiaojie Liu, Suwei Zhai, Guobiao Lin, Shi Su, Chenyang Zhao, Qian Ai

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