Fault detection in beam structure using adaptive immune based approach by Sasmita Sahu, Shakti P. Jena

“…Later one such method has been developed in the concepts of adaptive immune based technique (Adaptive Clonal Section Algorithm-ACSA) which is the combination of an artificial immune (Clonal Selection Algorithm) and Regression Analysis (RA). …”
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Energy-Efficient Scheduling for Resilient Container-Supply Hybrid Flow Shops Under Transportation Constraints and Stochastic Arrivals by Huaixia Shi, Huaqiang Si, Jiyun Qin

“…Although dynamic, energy-efficient container-supply hybrid flow shops have attracted increasing attention, most existing research overlooks how transportation within container production affects makespan, resilience, and sustainability. …”
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Improving IR drop effect and power noise using digital OLED power in AMOLED display by Sanguk Lee, Byungmun Kang, DaeEun Kim

“…We employed a predictive control and IR drop compensation algorithm to supply power to the AMOLED, thus improving panel uniformity. …”
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A Comprehensive Approach to Synthetic Distribution Grid Generation: Erdős–Rényi to Barabási-Albert by Mohammad Shahraeini

“…To address these limitations and push the research forward, the new algorithm utilizes the Barabási-Albert model to provide more control over the structural features of the generated graphs through the introduction of a novel tuning parameter known as the “richness index”. …”
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Development of a multi-level feature fusion model for basketball player trajectory tracking by Tao Wang

“…Finally, a new trajectory tracking model was designed by combining the object detection model and the athlete identity recognition model. The research results indicated that in the object detection experiment, the detection time of the proposed object detection algorithm was always below 0.4 s, and its average accuracy reached up to 0.63. …”
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Design of artwork resource management system based on block classification coding and bit plane rearrangement by Xiaomeng Xia

“…To address these issues, this article proposes an innovative algorithm that integrates watermarking and compression for artwork images, namely the Block Classification Coding—Bit Plane Rearrangement—Integrated Compression and Watermark Embedding (BCC-BPR-ICWE) algorithm. …”
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Leveraging Dual Timestamps to Enhance Process Model Construction Using Time-Infused Inductive Miner by Yutika Amelia Effendi, Minsoo Kim

“…This approach enhances the algorithm’s ability to understand parallel structures within process models. …”
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Double Sigmoid Activation Function for Fault Detection in Wind Turbine Generator using Artificial Neural Network by NOOR FAZLIANA FADZAIL, Samila Mat Zali, Ernie Che Mid

“…The activation function has gained popularity in the research community since it is the most crucial component of the artificial neural network (ANN) algorithm. …”
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Inverse Kinematics of a 7-Degree-of-Freedom Robotic Arm Based on Deep Reinforcement Learning and Damped Least Squares by Shusheng Yu, Gongquan Tan

“…As we advance towards the future of the smart manufacturing industry, our research focuses on enhancing manipulator technology. …”
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Iterative Optimization and Economic Analysis of Photovoltaic Power Generation Forecasting under Haze Conditions by Wei CHEN, Jing REN, Xinfang WU, Wenying YU, Yongsheng LIU

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Multi-Source Causal Invariance for Cuffless Blood Pressure Estimation Based on Photoplethysmography Signal Features by Yiliu Xu, Zhaoming He, Hao Wang

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Spammer group detection based on cascading and clustering of core figures by Qianqian Jiang, Chunrong Zhang, Ning Li, Dickson K. W. Chiu, Xianwen Fang, Shujuan Ji

“…Thus, this research proposes a spammer group detection algorithm based on cascading and clustering of core figures. …”
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A Rattle Signal Denoising and Enhancing Method Based on Wavelet Packet Decomposition and Mathematical Morphology Filter for Vehicle by Linyuan Liang, Shuming Chen, Peiran Li

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An Improved Correlation Filtering Method for Tracking Maritime Small Targets of GF-4 Staring Satellite Sequence Images by Deyang Zhang, Yao Xu, Haimin Hu

“…Using the target information, the dark-channel background modeling method and multi-scale Retinex illumination algorithm are improved to achieve target enhancement. …”
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Performance of pelican optimizer for energy losses minimization via optimal photovoltaic systems in distribution feeders. by Zuhair Alaas, Ghareeb Moustafa, Hany Mansour

“…Ensuring optimal placement of photovoltaic (PV) energy systems is crucial for achieving maximum efficiency and reliability in power distribution networks. This research introduces the Pelican Optimizer (PO) algorithm to optimally integrate solar PV systems to radial electrical distribution grids. …”
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Improved Remote Photoplethysmography Using Machine Learning-Based Filter Bank by Jukyung Lee, Hyosung Joo, Jihwan Woo

“…In this study, we propose a machine learning-based filter bank (MLFB) noise reduction algorithm to improve the quality of rPPG signals. The MLFB algorithm determines the optimal spectral band for extracting information on cardiovascular activity and reconstructing an rPPG signal using a support vector machine. …”
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Multidisciplinary Design Optimization and Analysis of Hydrazine Monopropellant Propulsion System by Amirhossein Adami, Mahdi Mortazavi, Mehran Nosratollahi, Mohammadreza Taheri, Jalal Sajadi

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Assessing the Impact of the MOOC Learning Platform on the Comprehensive Development of English Teachers at College Level under “Double First-Rate” by Utilization of the SWOT Analys... by Wenjuan He

“…This paper first proposes a MOOC learning recommendation algorithm based on the learning sequence and similarity distance analysis as well as evaluates its accuracy. …”
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Comprehensive Performance Assessment of Multi-Neural Ensemble Model for Mortality Prediction in ICU by M. Fathima Begum, Subhashini Narayan

“…In comparison to prior deep learning-driven mortality classification research, we designed a comprehensive structure that encompasses a novel feature pre-processing methods and stacking ensemble algorithm for classification.…”
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Kernel-FastICA-Based Nonlinear Blind Source Separation for Anti-Jamming Satellite Communications by Xiya Sun, Changqing Li, Jiong Li, Qi Su

“…The algorithm transforms nonlinear separation tasks into high-dimensional, linear independent-component-analysis problems through kernel learning methodology. …”
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