Ground Segmentation Algorithm for Sloped Terrain and Sparse LiDAR Point Cloud by Victor Jimenez, Jorge Godoy, Antonio Artunedo, Jorge Villagra

“…Some works address these issues using Markov Random Fields and Belief Propagation, but these rely on local geometric features uniquely. This article presents a strategy for ground segmentation in LiDAR point clouds composed by two main steps: (i) First, an initial classification is performed dividing the points in small groups and analyzing geometric features between them. …”
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A Two-Step Projected Iterative Algorithm for Tropospheric Water Vapor Tomography by Shangyi Liu, Kefei Zhang, Suqin Wu, Wenyuan Zhang, Longjiang Li, Moufeng Wan, Jiaqi Shi, Minghao Zhang, Andong Hu

“…To address this, a new tomographic algorithm, named two-step projected iterative algorithm (TSPIA), is proposed. …”
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Unsustainable artificial intelligence and algorithmically facilitated emissions: The case for emissions-reduction-by-design by Jutta Haider, Malte Rödl, James White

“…A main argument advanced in the article is that algorithmic and environmental harms are inextricably linked, but neither research nor policy has the terminology to discuss and address this. …”
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Multivariate machine learning algorithms for energy demand forecasting and load behavior analysis by Farhan Hussain, M. Hasanuzzaman, Nasrudin Abd Rahim

“…This article presents deep learning frameworks for predicting electricity demand in the Western region of Bangladesh, utilizing Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) algorithms. …”
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Performance and improvement of deep learning algorithms based on LSTM in traffic flow prediction by Wei Xu, Eric Blancaflor, Mideth Abisado

“…This article discussed the enhancement of traffic flow (TF) prediction using a hybrid LSTM-BiGRU-Attention model aimed at improving the accuracy of traditional LSTM models. …”
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Research on basketball footwork recognition based on a convolutional neural network algorithm by Weili Bao, Yong Bai

“…Methods: A traditional CNN algorithm was improved to a dual-model CNN (DMCNN) algorithm, where convolutional feature extraction was performed separately on both the acceleration and angular velocity data of footwork. …”
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Commercial Vehicle Ride Comfort Optimization Based on Intelligent Algorithms and Nonlinear Damping by Shuilong He, Keren Chen, Enyong Xu, Wei Wang, Zhansi Jiang

“…To improve the reliability of ride comfort optimization and analysis, a ride comfort optimization method based on nonlinear damping and intelligent algorithms is proposed. The sum of the frequency-weighted RMS of the driver seat acceleration, the RMS of dynamic tyre load, and suspension working space is taken as the objective function in this article, using nonlinear damping coefficients and stiffness of suspension as design variables. …”
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RISK MANAGEMENT ALGORITHM FOR ENSURING THE SANITARY SAFETY OF THE POPULATION IN THE AREA OF THE OIL REFINERY by M. A. Fomenko, G. A. Fomenko, E. A. Skuratova

“…The article reveals the main features and characteristics of the algorithm of actions to ensure environmental safety of the population in the areas of oil refineries based on the mechanism of health risk assessment at all stages of the life cycle of environmentally hazardous production facilities. …”
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Analysis of algorithms for detecting traffic incidents on highways using stationary vehicle detectors by D. V. Navoi, D. V. Kapski, N. A. Filippova, I. N. Pugachev

“…This article discusses algorithms that use data from stationary vehicle detectors. …”
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User Recruitment Algorithm for Maximizing Quality under Limited Budget in Mobile Crowdsensing by Weijin Jiang, Pingping Chen, Wanqing Zhang, Yongxia Sun, Chen Junpeng, Qing Wen

“…In the mobile crowdsensing task assignment, under the premise that the data platform does not know the user’s perceived quality or cost value, how to establish a suitable user recruitment mechanism is the critical issue that this article needs to solve. It is necessary to learn the user’s perceived quality in the execution p. …”
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MOBCSA: Multi-Objective Binary Cuckoo Search Algorithm for Features Selection in Bioinformatics by Hudhaifa Mohammed Abdulwahab, S. Ajitha, Mufeed Ahmed Naji Saif, Belal Abdullah Hezam Murshed, Fahd A. Ghanem

“…However, most of the current CSA-based FS techniques deal with gene selection problems as a single objective rather than adopting a multi-objective mechanism. This article proposes the Multi-Objective Binary Cuckoo Search Algorithm (MOBCSA) for gene selection. …”
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Improving the segmentation of the vertebrae using a multi-stage machine learning algorithm by Vladyslav Koniukhov

“…The subjects of this article are algorithms for the segmentation of X-ray images of various qualities. …”
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Oil and Gas Industry Companies’ Classification and Ordering by the Level of Investment Attractiveness Algorithm by Chernova Natalia L., Serhiienko Olena A., Huz Ostap B.

“…Investment development of industries is an important factor in their overall development, therefore the issue of classification and ordering of companies in the oil and gas industry by the level of investment attractiveness becomes particularly relevant. The aim of the article is the construction and practical implementation of an algorithm for the classification and ordering of companies in the oil and gas industry according to the level of investment attractiveness, the application of which will increase the efficiency of decisions regarding the formation of appropriate investment portfolios. …”
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Robust Image Steganography Approach Based on Edge Detection Combined With CNN Algorithm by Rana Al-Rawashdeh, Md Mahfuzur Rahman, Mahmood Niazi

“…., using the canny or sobel algorithm), and then the secret data is embedded inside the edge-detected cover image using a deep learning approach, and finally, the created stego image is sent to the receiver. …”
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Refining management strategies for Lennox–Gastaut syndrome: Updated algorithms and practical approaches by Stéphane Auvin, Alexis Arzimanoglou, Mercè Falip, Pasquale Striano, J. Helen Cross

“…The authors are experts in treating people with LGS and this article provides up‐to‐date guidance and advice on how best to care for those with the condition.…”
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Work, Identity, and Paradoxes. The Intertwining of New Technologies, Algorithm Logic, and Individual Experiences by Joanna Wygnańska

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APPLICATION OF THE SOFTWARE TOOLS EXPERIMENTAL DESIGN FOR THE GENETIC APPROXIMATION ALGORITHM PARAMETER OPTIMIZATION by Vitaly V. VOLKOV

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TF-IDF-Enhanced Genetic Algorithm Untuk Extractive Automatic Text Summarization by Dhimas Anjar Prabowo, Muhammad Fhadli, Mochammad Ainun Najib, Handika Agus Fauzi, Imam Cholissodin

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DIFFERENTIAL AND LINEAR CRYPTOANALYSIS METHODS ELEMENTS FOR ENCRYPTION ALGORITHM BASED ON DYNAMIC CHAOS by A. V. Sidorenko, L. A. Zhukovets

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ROOT-FINDING ALGORITHM FOR UNIVARIATE POLYNOMIALS WITH COEFFICIENTS FROM K[X,Y] by A.E. MAEVSKIY

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