Efficient Computation of Collatz Sequence Stopping Times: A Novel Algorithmic Approach by Eyob Solomon Getachew, Beakal Gizachew Assefa

“…The Collatz conjecture, which posits that any positive integer will eventually reach 1 through a specific iterative process, is a classic unsolved problem in mathematics. This research focuses on designing an efficient algorithm to compute the stopping time of numbers in the Collatz sequence, achieving significant computational improvements. …”
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Neighbor satellite load based low orbit satellite distributed routing algorithm by Mingchuan YANG, Guanchang XUE, Qingyi LI

“…Satellites are highly flexible and maneuverable, and they are not easily affected by ground factors, which has led to the rapid development of space satellite technology.Satellite networks always have load congestion problem as the load increases, making routing algorithms a core issue in the field of satellite network research.Based on the problems of congestion mitigation, signaling overhead, and algorithm complexity, the distributed routing algorithm for local load balancing of LEO (low earth orbit) satellite networks was deeply studied.The network model was constructed based on the Iridium satellite system and a distributed routing algorithm based on the load status of neighbor satellite (DRNL) was proposed, which included such as load status update of neighbor nodes, load balancing and routing decision.It had a certain degree of portability and could adapt to other polar or near polar orbit constellation.The simulation results based on the OPNET show that the DRNL can better adapt to the heavier network loads state, alleviate satellite congestion, obtain lower delay and packet loss.…”
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An Online Tool for Correcting Performance Measures of Electronic Phenotyping Algorithms for Verification Bias by Ajay Bhasin, Sue Bielinski, Abel N. Kho, Nicholas Larson, Laura J. Rasmussen-Torvik

“… Objectives Computable or electronic phenotypes of patient conditions are becoming more commonplace in quality improvement and clinical research. During phenotyping algorithm validation, standard classification performance measures (i.e., sensitivity, specificity, positive predictive value, negative predictive value, and accuracy) are often employed. …”
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Neighborhood conditional mutual information entropy attribute reduction algorithm for hybrid data by Haibo LAN

“…Attribute reduction is an important research content of the rough set theory.Its main purpose is to eliminate irrelevant attributes in information systems, reduce data dimensions and improve data knowledge discovery performance.However, most of the attribute reduction methods based on a rough set do not consider the dependence between attributes, which makes the final attribute reduction result have some redundant attributes.An attribute reduction algorithm based on neighborhood conditional mutual information entropy was proposed.Firstly, based on the traditional neighborhood entropy, a hybrid neighborhood mutual information entropy model and a hybrid neighborhood conditional mutual information entropy model were proposed for hybrid data.Then, the two entropy models were used to evaluate the attribute dependence and attribute heuristic search of the hybrid information system, and an attribute reduction algorithm was designed.Finally, through the experimental analysis of UCI data sets, it was proved that the algorithm had higher attribute reduction performance.…”
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Encapsulation of anticancer drugs into carbon nanotubes: Heuristic algorithm approach and mathematical model. by Kanes Sumetpipat, Duangkamon Baowan

“…This research combines mathematical derivation and optimization techniques to investigate the non-covalent encapsulation of chemotherapy drugs (fluorouracil, proflavine, methylene blue, and doxorubicin) within carbon nanotubes, aiming to improve targeted drug delivery in cancer therapy. …”
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Automatic strip layout design in progressive dies using the grouping genetic algorithm by Mehran Afshari, Behrooz Arezoo

“…The performance of the present algorithm is compared with the methods of other researchers and the results indicate that the proposed algorithm performance is improved in the tested cases.…”
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An image processing technique for optimizing industrial defect detection using dehazing algorithms. by Xuanyi Zhao, Xiaohan Dou, Gengpei Zhang

“…In recent years, the demand for efficient and accurate defect detection algorithms in industrial production has been increasing. …”
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Construction of Graduate Behavior Dynamic Model Based on Dynamic Decision Tree Algorithm by Fen Yang

“…With the research of machine learning technology and big data intelligent processing technology in engineering application becoming more and more mature, people gradually combine machine learning technology and big data intelligent processing technology. …”
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Intelligent chlorination in water distribution networks: Integrating genetic algorithm and EPANET fusion

“…The primary goal of chlorination, a chemical treatment process employed in water distribution networks (WDNs), is to safeguard public health by disinfecting potable water. This research delves into the hydraulic and qualitative analysis of WDNs in the Golestan district of Ahwaz city, Iran, utilizing a demand-based methodology integrating genetic algorithm (GA) and Environmental Protection Agency Network Evaluation Tool (EPANET) simulation software. …”
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NEURAL NETWORK ALGORITHM SAFE OVERFLIGHT AERIAL OBSTACLES AND PROHIBITED LAND AREAS by D. A. Mikhaylin

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Neighbor satellite load based low orbit satellite distributed routing algorithm by Mingchuan YANG, Guanchang XUE, Qingyi LI

“…Satellites are highly flexible and maneuverable, and they are not easily affected by ground factors, which has led to the rapid development of space satellite technology.Satellite networks always have load congestion problem as the load increases, making routing algorithms a core issue in the field of satellite network research.Based on the problems of congestion mitigation, signaling overhead, and algorithm complexity, the distributed routing algorithm for local load balancing of LEO (low earth orbit) satellite networks was deeply studied.The network model was constructed based on the Iridium satellite system and a distributed routing algorithm based on the load status of neighbor satellite (DRNL) was proposed, which included such as load status update of neighbor nodes, load balancing and routing decision.It had a certain degree of portability and could adapt to other polar or near polar orbit constellation.The simulation results based on the OPNET show that the DRNL can better adapt to the heavier network loads state, alleviate satellite congestion, obtain lower delay and packet loss.…”
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On the Effectiveness of Nature-Inspired Metaheuristic Algorithms for Performing Phase Equilibrium Thermodynamic Calculations by Seif-Eddeen K. Fateen, Adrian Bonilla-Petriciolet

“…The search for reliable and efficient global optimization algorithms for solving phase stability and phase equilibrium problems in applied thermodynamics is an ongoing area of research. …”
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A 3D sensor based deflection correction algorithm for belt layer by Su Ming, Fan Wenqiang, Xiao Dong

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Three-Axes Mems Calibration Using Kalman Filter and Delaunay Triangulation Algorithm by Anwer Sabah Ahmed, Qais Al-Gayem

“…MEMS-IMUs are widely used in research, industry, and commerce. A proper calibration technique must reduce their innate errors. …”
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Comparison of Levenberg-Marquardt and Bayesian Regularization Learning Algorithms for Daily Runoff Forecasting by Aslı BOR, Merve OKAN

“…Our findings indicate that the estimated capability of the Bayesian Regularization algorithm were close to with Levenberg-Marquardt algorithm for training and testing, respectively. …”
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Recent Progress in Data-Driven Intelligent Modeling and Optimization Algorithms for Industrial Processes by Sheng Du, Zixin Huang, Li Jin, Xiongbo Wan

“…Contributions to this Special Issue highlight innovative research in advancements in work-sampling data analysis, data-driven process choreography discovery, intelligent ship scheduling for maritime rescue, process variability monitoring, hybrid optimization algorithms for economic emission dispatches, and intelligent controlled oscillations in smart structures. …”
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Coordinated Control of PV Generation and EVs Charging Based on Improved DECell Algorithm by Guo Zhao, Xueliang Huang, Hao Qiang

“…By integrating the meshing method into differential evolution cellular (DECell) genetic algorithm, an improved differential evolution cellular (IDECell) genetic algorithm was presented to solve the multiobjective optimization model. …”
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Classifying High School Scholarship Recipients Using the K-Nearest Neighbor Algorithm by Ica Dwi Yulisa, Gusmelia Testiana, Imamulhakim Syahid Putra

“…This study aims to examine how this method could help in the selection process to determine who is eligible to receive the scholarship, and it also aims to evaluate the algorithm's performance with the optimal K value. The findings of this research showed that the classification method using K-Nearest Neighbor is the potential to be applied in a case such as this. …”
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VIO/GPS Fusion Positioning Algorithm of Substation Inspection Robot Based on EKF by ZHANG Guifeng, ZHANG Zhongxuan, ZHOU Chaorong, YU Zhilong

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Haar Cascade Classifier and Adaboost Algorithm for Face Detection with the Viola-Jones Method by Mohammad Saichu Nidom

“…The implications of this research can be applied to create more effective security and facial recognition applications and pave the way for further study in optimizing object detection algorithms. …”
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