Bi-directional virtual search algorithm for efficient and collision-free path planning in autonomous robots navigating static and dynamic environments by M.D. Yeshwanth Kumar, K. Rajchandar

“…This study proposes an efficient and adaptable path-planning model for autonomous mobile robots operating in both static and dynamic grid-based environments. …”
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Long-time coherent accumulation algorithms for reflected signal with non-zero higher derivatives of the range to radar target in the spectral domain by S. V. Kozlov, Van Cuong Le

“…The simulation results confirming the operability of the proposed algorithms are presented.…”
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Parametrizing analog multi-compartment neurons with genetic algorithms [version 2; peer review: 1 approved, 2 approved with reservations] by Raphael Stock, Eric Müller, Jakob Kaiser, Sebastian Schmitt, Johannes Schemmel

“…Results and conclusions The algorithm successfully replicated the desired EPSP attenuation behavior in both single and multi-objective searches illustrating the applicability of genetic algorithms to parameterize analog neuromorphic hardware.…”
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Modified Algorithm for Calculating the Parameters of Maneuvers of Coplanar Meeting of Spacecraft in a Near-Circular Orbit Using Low-Thrust Engines by Andrey A. Baranov, Adilson P. Olivio

“…A modified algorithm is presented for solving the problem of spacecraft rendezvous in a near-circular orbit. …”
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Bidders Recommender for Public Procurement Auctions Using Machine Learning: Data Analysis, Algorithm, and Case Study with Tenders from Spain by Manuel J. García Rodríguez, Vicente Rodríguez Montequín, Francisco Ortega Fernández, Joaquín M. Villanueva Balsera

“…This paper develops a pioneering algorithm to recommend potential bidders using a machine learning method, particularly a random forest classifier. …”
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Simulating and Verifying a 2D/3D Laser Line Sensor Measurement Algorithm on CAD Models and Real Objects by Rok Belšak, Janez Gotlih, Timi Karner

“…Notably, the algorithm effectively handles complex geometric features, such as holes and grooves, and offers flexibility in generating point cloud data in both local and global coordinate systems. …”
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Reducing Computational Time in Pixel-Based Path Planning for GMA-DED by Using Multi-Armed Bandit Reinforcement Learning Algorithm by Rafael P. Ferreira, Emil Schubert, Américo Scotti

“…A testbed was set up to compare experimentally the performance of both algorithm versions. The results showed that the reduced processing time reached with the Advanced-Pixel strategy did not affect the performance gains of the Pixel strategy. …”
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A Combined Approach Of Adasyn And Tomeklink For Anomaly Network Intrusion Detection System Using Some Selected Machine Learning Algorithms by Nasiru Ige Salihu, Muhammed Nazeer Musa, Awujola J. Olalekan

“…Four supervised machine learning algorithms (Random Forest, J48, Multilayer Perceptron, and Bagging) were assessed on both imbalanced and balanced datasets. …”
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Reconstruction of Three-Dimensional Object from Two-Dimensional Images by Utilizing Distance Regularized Level Algorithm and Mesh Object Generation by Samera Shams Hussei, Sukaina Sh Altyar, Lubab Ahmed Tawfeeq, Eman S. Harba

“…The results show good accuracy of the reconstructed object in both details and their measurements which are related to the success in the reconstruction of algorithm that yields good three-dimensional meshes object.…”
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Experimental Implementation of an Algorithm for Real Time Compensation of Phase Current Sensors DC Offset in Field Oriented Controlled PMSM Drives by Ciro Attaianese, Matilde D'Arpino, Mauro Di Monaco, Luigi Pio Di Noia

“…The method uses equations derived from the analytically closed form solution of the steady-state d-q axes model of PMSM, taking into account the full FOC dynamics and DC offset faults of the phase current sensors. The algorithm allows for detecting, isolating, and estimating the fault conditions by identifying the phase current offsets, both when using three sensors and two current sensors. …”
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THE COMPARISON OF 2D DOSE PATIENT-SPECIFIC QUALITY ASSURANCE BETWEEN MONTE CARLO-CONVOLUTION AND MODIFIED CLARKSON INTEGRATION ALGORITHM by Akbar Azzi, Supriyanto Ardjo Pawiro, Terry Mart

“…The linac log file information can be used and calculated into a 2D dose distribution using both MC and MCI methods, providing high-accuracy results.…”
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A Novel Anomaly Forecasting in Time‐Series Data: Feedback Connection between Forecasting and Detecting Algorithms with Applications to Power Systems by Hyung Tae Choi, Hae Yeon Park, Taewan Kim, Jung Hoon Kim

“…The main idea of this article is to introduce a feedback connection to combine several algorithms with respect to the forecasting and the detecting in a single algorithm. …”
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An Improved Hybrid Ant Colony Optimization and Genetic Algorithm for Multi-Map Path Planning of Rescuing Robots in Mine Disaster Scenario by Jingrui Zhang, Zhenhong Xu, Houde Liu, Xiaojun Zhu, Bin Lan

“…Finally, the feasibility and effectiveness of the proposed hybrid algorithm are validated through simulations involving both single and multiple mine disaster maps. …”
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A radiogenomics study on 18F-FDG PET/CT in endometrial cancer by a novel deep learning segmentation algorithm by Xuanyi Li, Weijun Shi, Qianwen Zhang, Xinhui Lin, Hongzan Sun

“…The combined PET + CT model demonstrated superior predictive power for both genes, with AUCs of 0.8146 and 0.8102 for MMR, and 0.8833 and 0.8150 for TP53 in training and test sets, respectively. …”
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A MapReduce-Based Parallel Frequent Pattern Growth Algorithm for Spatiotemporal Association Analysis of Mobile Trajectory Big Data by Dawen Xia, Xiaonan Lu, Huaqing Li, Wendong Wang, Yantao Li, Zili Zhang

“…Next, we incorporate SF into Frequent Pattern growth (FP-growth) algorithm and then implement the optimized FP-growth algorithm on a MapReduce framework. …”
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Extending WSN Lifetime with Enhanced LEACH Protocol in Autonomous Vehicle Using Improved K-Means and Advanced Cluster Configuration Algorithms by Cheolhee Yoon, Seongsoo Cho, Yeonwoo Lee

“…Thus, this paper proposes an algorithm that takes into account both the residual energy of sensor nodes and the distance between the cluster’s central point to the base station (BS), which ultimately enhances the network’s lifetime. …”
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Assessing land degradation in lower gangetic west bengal using GIS-based soft computing and advanced machine learning algorithms by Gopal Chowdhury, Ashis Kumar Saha

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Human crime activity recognition and shooting weapon detection in video frames using the contour approximation algorithm, and FastDTW classifier by Y. V. K. Durga Bhavani, V. B. Pagi

“…The Contour Approximation Algorithm (CAA) quantifies the Compressed Freeman Chain Code (CFCC) from CFCC1 to CFCC7 for both the human activity recognized Region of Interest (ROI), encompassing the LEFT_WRIST and RIGHT_WRIST landmarks and the ROI of the weapon template. …”
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Prediction of Treatment Recommendations Via Ensemble Machine Learning Algorithms for Non-Small Cell Lung Cancer Patients in Personalized Medicine by Hojin Moon, Lauren Tran, Andrew Lee, Taeksoo Kwon, Minho Lee

“…Results: The developed novel prediction algorithm demonstrates the ability to support complex clinical decision-making processes in the treatment of NSCLC. …”
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Research on Maximum Likelihood Decoding Algorithm and Channel Characteristics Optimization for 4FSK Ultraviolet Communication System Based on Poisson Distribution by Li Kuang, Yingkai Zhao, Kangjian Li, Xingfa Wang, Linyi Li, Huishi Zhu, Weijie Zhang, Jianguo Liu

“…Hardware implementation and field tests validate the decoding algorithm and LDPC-optimized 4FSK system. Under non-line-of-sight (NLOS) conditions (10–45° transmit elevation angle), stable 60 m communication with BER < 10⁻³ is achieved. …”
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