Multiobjective, trust-aware, artificial hummingbird algorithm-based secure clustering and routing with mobile sink for wireless sensor networks by Anil Kumar Jemla Naik, Manjunatha Parameswarappa, Mohan Naik Ramachandra

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Optimizing Supplier Selection for a Construction Project by a Cash-Flow Approach Using a Hybrid Metaheuristic Algorithm by Seyyed Esmaeil Najafi, Soheil Salahshour, Bijan Rahmani Parchikolaei

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Multi-objective optimization of grinding process parameters for complicated worm space surface based on the grey wolf optimization algorithm by Jiongkang Ren, Shisong Wang, Keqi Ren

“…Grinding is a critical method for enhancing the quality of worm tooth surfaces, and its process optimization has long been a significant research focus; however, existing methods are insufficient in addressing the nonlinearity and complexity inherent in the grinding of complex surfaces. …”
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Aquaculture Prediction Model Based on Improved Water Quality Parameter Data Prediction Algorithm under the Background of Big Data by Yuan Jiang, Fei Yan

“…The parameters of PCA-BP water quality prediction model were optimized by genetic algorithm, the threshold and weight of BP neural network were determined, and an improved PCA-BP water quality prediction model was constructed. …”
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A modified and extended genetic algorithm for optimal distributed generation grid-integration solutions in direct current power grids by Carlos D. Zuluaga-Ríos

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Transformer–BiLSTM Fusion Neural Network for Short-Term PV Output Prediction Based on NRBO Algorithm and VMD by Xiaowei Fan, Ruimiao Wang, Yi Yang, Jingang Wang

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Discrete Dynamic Modeling Analysis of Engineering Management and Quality Optimization Innovation Mode Based on Big Data Intelligent Algorithm by Xiaowen Zhuang, Chuanbao Wu

“…Based on the above situation, this paper puts forward the research on discrete dynamic modeling of engineering management and optimization innovation mode based on big data intelligent algorithm. …”
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Maximum Power Point Determination of Bifacial PV Using Multi-Verse Optimization Algorithm Applied on Different Cell Models by Najdoska Angela, Cvetkovski Goga

“…The optimal power point is determined by using a novel multi-verse optimization (MVO) algorithm as the optimization tool. In this research work the MPPT of bifacial PV modules is determined by using the following three PV cell models: ideal single diode model, real single diode model, and two-diode model of PV cell. …”
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Fusion of Rough Set Theory, Genetic Algorithm-Backpropagation Neural Networks and Shapley Additive Explanations for the Design of Bamboo Furniture by Zhongchen Huang, Li Ye

“…However, the cognitive gap between designers and consumers often hinders market recognition for bamboo furniture. Therefore, a research framework based on Kansei Engineering (KE) is proposed in this study. …”
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Assessing the performance of the Asian/Pacific islander identification algorithm to infer Hmong ethnicity from electronic health records in California by Susan L Stewart, May Ying N Ly, Katherine K Kim

“…The applicability of the NAPIIA to a multitude of Asian subgroups can advance Asian health disparity research by enabling researchers to disaggregate Asian data and unmask health challenges of different Asian subgroups.…”
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Construction and control parameter matching method of hydraulic pile hammer surrogate model combining transfer algorithm and knowledge embedding by Hongqi Jiang, Xiao Jiang

“…On this basis, the model introduces physics knowledge embedding technology, adds inequality constraints based on physical laws to the loss function, and introduces transfer learning algorithms to maintain high accuracy of the model under limited data conditions. …”
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A Fast Independent Component Analysis Algorithm for Geochemical Anomaly Detection and Its Application to Soil Geochemistry Data Processing by Bin Liu, Si Guo, Youhua Wei, Zedong Zhan

“…A fast independent component analysis algorithm (FICAA) is introduced to process geochemical data for anomaly detection. …”
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Optimizing Curriculum Vitae Concordance: A Comparative Examination of Classical Machine Learning Algorithms and Large Language Model Architectures by Mohammed Maree, Wala’a Shehada

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An Extensive Analysis of Power Quality Improvement in a Three-Stage 15-Level Inverter Using Various ANN Algorithms by K. Sakthivel, S. Albert Alexander

“…The number of switches is lowered by using a better Pulse Width Modulation (PWM) method, and Artificial Neural Network (ANN) algorithms help with finding faults. The research integrates both PWM and ANN techniques to enhance the power quality of multilevel inverters (MLIs). …”
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The analysis of international communication value assessment of Chinese mythology themed animated films in belt and road under BPNN algorithm by Nan Zhang, Ellen Zhu

“…With the promotion of the “Belt and Road” initiative, how to scientifically assess their international communication value has become a current research hotspot. The innovation of this work lies in integrating the Backpropagation Neural Network (BPNN) algorithm from artificial intelligence techniques with the Bidirectional Long Short-Term Memory (BiLSTM) algorithm. …”
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Multi-Layer Perceptron Neural Network Utilizing Adaptive Best-Mass Gravitational Search Algorithm to Classify Sonar Dataset by Mohammad Reza MOSAVI, Mohammad KHISHE, Mohammad Jafar NASERI, Gholam Reza PARVIZI, Mehdi AYAT

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Early warning strategies for corporate operational risk: A study by an improved random forest algorithm using FCM clustering. by Xini Fang

“…To enhance the accuracy and response speed of the risk early warning system, this study develops a novel early warning system that combines the Fuzzy C-Means (FCM) clustering algorithm and the Random Forest (RF) model. Firstly, based on operational risk theory, market risk, research and development risk, financial risk, and human resource risk are selected as the primary indicators for enterprise risk assessment. …”
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The Elitist Non-Dominated Sorting Crisscross Algorithm (Elitist NSCA): Crisscross-Based Multi-Objective Neural Architecture Search by Zhihui Chen, Ting Lan, Dan He, Zhanchuan Cai

“…In recent years, neural architecture search (NAS) has been proposed for automatically designing neural network architectures, which searches for network architectures that outperform novel human-designed convolutional neural network (CNN) architectures. Related research has always been a hot topic. This paper proposes a multi-objective evolutionary algorithm called the elitist non-dominated sorting crisscross algorithm (elitist NSCA) and applies it to neural architecture search, which considers two optimization objectives: the accuracy and network parameters. …”
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Prediction of Crop Yield by Support Vector Machine Coupled with Deep Learning Algorithm Procedures in Lower Kulfo Watershed of Ethiopia by Abebe Temesgen Ayalew, Tarun Kumar Lohani

“…In RNN, LSTM, and SVM algorithms, the accuracy is determined as 96% which is comparatively preferable as compared to other machine learning procedures under different feature and crop types. …”
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Fixed-Time Cooperative Tracking Control With Novel Finite-Time Parameter Estimation Algorithm for Nonlinear Multi-Agent Systems by Ibrahim Bako Abdulhamid, Muhammad Nasiruddin Mahyuddin

“…The fixed-time convergence of the consensus error to zero, which is aided by the salient feature of the parameter estimation algorithm, is analyzed rigorously via Lyapunov analysis. …”
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