Optimized Subset Selection for Matrices and its Application in Hyperspectral Band Selection by Songyi Xiao, Liangliang Zhu, Xinwen Zhu, Xiurui Geng

“…In addition, we propose a method for automatically determining the optimal number of bands. Experiments conducted on both publicly available and Gaofen-5 satellite hyperspectral datasets demonstrate the superiority and stability of our proposed algorithms in terms of classification accuracy and computational efficiency.…”
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Modeling and Optimization of Vehicle Suspension Employing a Nonlinear Fluid Inerter by Yujie Shen, Long Chen, Yanling Liu, Xiaoliang Zhang

“…So, parameters of the suspension system including the spring stiffness and the damping coefficient are optimized by means of QGA (quantum genetic algorithm), which combines the genetic algorithm and quantum computing. …”
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Sinh-Cosh Optimization-Based Efficient Clustering for Big Data Applications by Lahbib Khrissi, Mohammed Es-Sabry, Nabil El Akkad, Hassan Satori, Saad Aldosary, Walid El-Shafai

“…Data clustering is a pivotal aspect of data mining, attracting significant attention in the exploration of cluster analysis through optimization algorithms. However, challenges arise in the application of optimization-based techniques, stemming from the non-linear nature of the objective function and the complexities inherent in the search space. …”
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Reinforcement Learning Agent for Multi-Objective Online Process Parameter Optimization of Manufacturing Processes by Akshay Paranjape, Nahid Quader, Lars Uhlmann, Benjamin Berkels, Dominik Wolfschläger, Robert H. Schmitt, Thomas Bergs

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Event-Triggered Fault-Tolerant ADRC for Variable-Load Quadrotor with Prescribed Performance by Zhichen Li, Qiaoran Wang, Huaicheng Yan

“…Additionally, a particle swarm optimization (PSO) algorithm is employed for online parameter tuning, improving adaptability. …”
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A study on the prediction of mountain slope displacement using a hybrid deep learning model by Yuyang Ma, Xiangxiang Hu, Yuhang Liu, Yaya Shi, Zhiyuan Yu, Xinmin Wang, Liangbai Hu, Shuailing Liu, Dongdong Pang

“…Abstract To address the challenges of large prediction errors and limited reliability in conventional modeling approaches, this study proposes a hybrid framework that integrates optimization and deep learning techniques. The method employs an Improved Whale Optimization Algorithm (IWOA) to fine-tune parameters for GNSS data fitting, ensuring accurate signal feature extraction. …”
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A de-noising method for photoplethysmographic signals based on CoatiOA-VMD-WT by Zhang Baolin, Yi Gang, Tang Xin

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A Comparative study of Fuzzy Logic, Incremental Conductance and P & O MPPT Algorithms for Solar Energy System by Muhammad Imran, Mohammad Ahsan Shehzad, Abdul Wajid

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Cloud-edge hybrid deep learning framework for scalable IoT resource optimization by Umesh Kumar Lilhore, Sarita Simaiya, Yogesh Kumar Sharma, Anjani Kumar Rai, S. M. Padmaja, Khan Vajid Nabilal, Vimal Kumar, Roobaea Alroobaea, Hamed Alsufyani

“…Abstract In the dynamic environment of the Internet of Things (IoT), edge and cloud computing play critical roles in analysing and storing data from numerous connected devices to produce valuable insights. …”
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Comparative study of indirect and direct feature extraction algorithms in classifying tea varieties using near-infrared spectroscopy by Xuefan Zhou, Xiaohong Wu, Bin Wu

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An Improved Particle Swarm Optimization for Solving Bilevel Multiobjective Programming Problem by Tao Zhang, Tiesong Hu, Yue Zheng, Xuning Guo

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Improving the performance of machine learning algorithms for detection of individual pests and beneficial insects using feature selection techniques by Rabiu Aminu, Samantha M. Cook, David Ljungberg, Oliver Hensel, Abozar Nasirahmadi

“…The concept of explainable artificial intelligence was adopted by incorporating permutation feature importance ranking and Shapley Additive explanations values to identify the feature set that optimized a model's performance while reducing computational complexity. …”
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Non-variational quantum random access optimization with alternating operator ansatz by Zichang He, Rudy Raymond, Ruslan Shaydulin, Marco Pistoia

“…Abstract Solving hard optimization problems is one of the most promising application domains for quantum computers due to the ubiquity of such problems in industry and the availability of broadly applicable theoretical quantum speedups. …”
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Quantum behaved Intelligent Variant of Gravitational Search Algorithm with Deep Neural Networks for Human Activity Recognition by Sonika Jindal, Monika Sachdeva, Alok K. S. Kushwaha

“…The proposed intelligent variant is termed as INQGSA which optimizes the features by using the advantageous attributes of quantum computing (QC) and intelligent gravitational search algorithm (INGSA). …”
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Hierarchical Clustering as a Dimension Reduction Technique for Markowitz Portfolio Optimization by Anatoliy Y. Poletaev, Elena M. Spiridonova

“…Clustering is widely used in computer science, a lot of algorithms and computational methods have been developed for it. …”
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Machine Learning for Chinese Corporate Fraud Prediction: Segmented Models Based on Optimal Training Windows by Chang Chuan Goh, Yue Yang, Anthony Bellotti, Xiuping Hua

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Rate optimization using low complex methods with reconfigurable intelligent surfaces by Saber Hassouna, Muhammad Ali Jamshed, Masood Ur Rehman, Muhammad Ali Imran, Qammer H. Abbasi

“…The data rate or its equivalent channel power is maximized by proposing different low-complex algorithms. The strongest tap maximization (STM) and power methods are compared with the semidefinite relaxation (SDR) method in terms of computational complexity and data rate performance. …”
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Artificial Intelligence and Nature-Inspired Techniques on Optimal Biodiesel Production: A Review—Recent Trends by Christos Kyriklidis, Aikaterini Koutouvou, Konstantinos Moustakas, Vayos Karayannis, Constantinos Tsanaktsidis

“…Artificial intelligence and nature-inspired techniques are particularly capable of searching for optimal fuels in complex optimization fields. The current study concerns a recent review of biodiesel production approaches based on evolutionary computation methods. …”
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Numerical modeling and neural network optimization for advanced solar panel efficiency by Udit Mamodiya, Indra Kishor, Mohammed Amin Almaiah, Monia Hamdi, Rami Shehab, Tayseer Alkhdour

“…Conventionally, such optimization techniques—MPPT (Maximum Power Point Tracking) along with heuristic algorithms—suffer significantly from slow adaptability and track sub optimality under dynamic environments. …”
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Frequency Regulation of Interconnected Power System Using Black Widow Optimization by Preeti Dahiya, Akshay Kumar Saha

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