Bathymetry and Agricultural Crop Studies From ICESat‐2: The Density‐Dimension Algorithm by Xiaomei Lu, Yongxiang Hu, Ali Omar, Charles R. Trepte

“…Abstract The Density‐Dimension Algorithm (DDA) was originally developed to retrieve land surface, vegetation canopy, and sea ice freeboard heights from the photon clouds measured by the multi‐beamed micropulse lidar flying aboard NASA's Ice, Cloud, and land Elevation Satellite‐2 (ICESat‐2) mission. …”
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Energy-Efficient Node Selection Algorithms with Correlation Optimization in Wireless Sensor Networks by Hongju Cheng, Zhihuang Su, Daqiang Zhang, Jaime Lloret, Zhiyong Yu

“…In this paper, we firstly propose a new Cover Sets Balance (CSB) algorithm to choose a set of active nodes with the partially ordered tuple (data coverage range, residual energy). …”
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Lessons Learned from the CYK Algorithm for Parsing-based Verification of Hierarchical Plans by Simona Ondrčková, Roman Barták, Pascal Bercher, Gregor Behnke

“…In this paper, we ask whether the ideas from the CYK algorithm can be extended to a more general parsing-based approach that covers all planning domains, i.e., including partially ordered ones. …”
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Optimal IIR filter design using Gravitational Search Algorithm with Wavelet Mutation by S.K. Saha, R. Kar, D. Mandal, S.P. Ghoshal

“…This paper presents a global heuristic search optimization technique, which is a hybridized version of the Gravitational Search Algorithm (GSA) and Wavelet Mutation (WM) strategy. …”
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A Robust Sidelobe Cancellation Algorithm Based on Beamforming Vector Norm Constraint by Qing Wang, Huanding Qin, Kai Yang, Hao Wu, Fangmin He, Jin Meng

“…In this paper, we propose a robust SLC algorithm based on beamforming vector norm constraint. …”
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Robust Algorithm for Calculating the Alignment of Guide Rolls in Slab Continuous Casting Machines by Robert Rosenthal, Nils Albersmann, Mohieddine Jelali

“…The algorithms are based on geometry and trigonometry or the gradient descent optimization algorithm. …”
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A modified algorithm of 'forward-backward' solving the identification of automata Markov models by A.R. Nurutdinova

“…This problem can be applied to solve a wide range of problems of identification of Markov chains, including partially hidden ones.…”
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Evaluation of Automated Object-Detection Algorithms for Koala Detection in Infrared Aerial Imagery by Laith A. H. Al-Shimaysawee, Anthony Finn, Delene Weber, Morgan F. Schebella, Russell S. A. Brinkworth

“…Koalas are also small and often partially or fully occluded by canopy, tree stems, or branches, or the background is highly complex. …”
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Amending the algorithm of aerosol–radiation interactions in WRF-Chem (v4.4) by J. Feng, C. Zhao, C. Zhao, C. Zhao, C. Zhao, C. Zhao, C. Zhao, Q. Du, Z. Yang, C. Jin

“…Furthermore, the amendment of the algorithm partially corrects the wind field and temperature simulation bias compared to the reanalysis data. …”
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Remaining Useful Life Estimation through Deep Learning Partial Differential Equation Models: A Framework for Degradation Dynamics Interpretation Using Latent Variables by Sergio Cofre-Martel, Enrique Lopez Droguett, Mohammad Modarres

“…For the past decade, researchers have explored the application of deep learning (DL) regression algorithms to predict the system’s health state behavior based on sensor readings from the monitoring system. …”
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Airway Management Failure after Delayed Extubation in a Patient with Oral Malignant Melanoma Who Underwent Partial Mandibulectomy and Reconstruction with a Free Flap by Min A. Kwon, Jaegyok Song, Seokkon Kim, Pyeung-wha Oh, Minji Kang

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Ultra-Compact Broadband In-Line Mode Converter Based on a Width-Modulated Silicon Waveguide by Ze Chen, Tianying Lin, Xiaoping Liu, Haibin Lv

“…Its modulation profile is designed by using the particle swarm optimization algorithm. This device has a simulated conversion efficiency of about −0.174 dB and an insertion loss less than 0.153 dB within 100-nm wavelength bandwidth from 1500 nm to 1600 nm. …”
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Quantitatively Detecting Camellia Oil Products Adulterated by Rice Bran Oil and Corn Oil Using Raman Spectroscopy: A Comparative Study Between Models Utilizing Machine Learning Alg... by Henan Liu, Sijia Ma, Ni Liang, Xin Wang

“…In this study, rice bran oil and corn oil, whose Raman spectra both hold great similarities with camellia oil, are blended with camellia oil, and the concentration of each composition is predicted by models with varying feature extraction methods and regression algorithms. Back propagation neural network (BPNN), which has been rarely investigated in previous work, is used to construct regression models, the performances of which are compared with models using random forest (RF) and partial least squares regression (PLSR). …”
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Techno-Economic Feasibility Analysis of Hybrid Renewable Energy System By Using Particle Optimization Technique for the Rural Border Areas in Iraq : Case Study by Husam Salim, Jabbar Rashed

“…This study made use of the MATLAB-based three different types of Particle Swarm Optimization algorithms(PSO),namely,(Modified PSO, Canonical-PSO and Hierarchical PSO with Time-varying Acceleration Coefficients (HPSO-TVAC) When designing a HES, it is important to strike a balance between the three goals of Cost Of Energy (COE), Reliability (REL), and maximizing the value of Renewable Energy Penetration (REP). …”
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Complexity Reduction in the Use of Evolutionary Algorithms to Function Optimization: A Variable Reduction Strategy by Guohua Wu, Witold Pedrycz, Haifeng Li, Dishan Qiu, Manhao Ma, Jin Liu

“…Discovering and utilizing problem domain knowledge is a promising direction towards improving the efficiency of evolutionary algorithms (EAs) when solving optimization problems. …”
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Ship Formation and Route Optimization Design Based on Improved PSO and D-P Algorithm by Peilong Xu, Dan Lan, Haolin Yang, Shengtian Zhang, Hyeonseok Kim, Incheol Shin

“…The particle swarm algorithm introduces dynamic adaptive parameter adjustment and the cross mutation strategy of genetic algorithm, while the Douglas-Peucker algorithm integrates density-based noise application spatial clustering algorithm to improve model performance. …”
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Revolutionizing sleep disorder diagnosis: A Multi-Task learning approach optimized with genetic and Q-Learning techniques by Soraya Khanmohmmadi, Toktam Khatibi, Golnaz Tajeddin, Elham Akhondzadeh, Amir Shojaee

“…The weights for this combination were optimized using the genetic algorithm and the Q-learning algorithm, aiming to minimize loss and maximize accuracy. …”
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Comparative stable walking gait optimization for small-sized biped robot using meta-heuristic optimization algorithms by Tran Thien Huan, Ho Pham Huy Anh

“…The efficiency of the proposed method is compared with the GA-Genetic Algorithm, PSO-Particle Swarm Optimization and Modified Differential Evolution algorithm (MDE). …”
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Detection of network anomaly based on hybrid intelligence techniques by Shahbaa Khaleel, Karam mahdi saleh

“…This research focuses on finding out how to make an Intrusion Detection Systems environment learn the preferences and work practices of a security officer, In this research hybrid intelligence system is designed and developed for network intrusion detection, where the research was presented four methods for network anomaly detection using clustering technology and dependence on artificial intelligence techniques, which include a Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) to develop and improve the performance of intrusion detection system. …”
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Optimizing capacitor bank placement in distribution networks using a multi-objective particle swarm optimization approach for energy efficiency and cost reduction by Mehrdad Ahmadi Kamarposhti, Raymond Ghandour, Mahmoud Abdel-Aty, Mohamed Hafez, Mohanad Alfiras, Shawkat Alkhazaleh, Ilhami Colak, Ahmed Solyman

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