Optimizing Hyperspectral Desertification Monitoring Through Metaheuristic-Enhanced Wavelet Packet Noise Reduction and Feature Band Selection by Weichao Liu, Jiapeng Xiao, Rongyuan Liu, Yan Liu, Yunzhu Tao, Tian Zhang, Fuping Gan, Ping Zhou, Yuanbiao Dong, Qiang Zhou

“…Our results indicate that PSO effectively automates the search for optimal WP decomposition parameters, preserving essential spectral information while efficiently reducing high-frequency spectral noise. The Genetic Algorithm (GA) was also found to be effective in extracting feature bands relevant to land desertification, which enhances the classification accuracy of the model. …”
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A comparative study of ensemble learning algorithms for the classification of landslide activity using vegetation anomalies indicator (VAI): a case study of Kundasang, Sabah by Mohd Radhie Mohd Salleh, Muhammad Zulkarnain Abdul Rahman, Zamri Ismail, Mohd Faisal Abdul Khanan, Radzuan Sa’ari, Ahmad Razali Yusoff

“…This study explores the effectiveness of ensemble learning algorithms in classifying landslide activities using Vegetation Anomalies Indicator (VAI) within Kundasang, Sabah, Malaysia. …”
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On the Extended Simple Equations Method (SEsM) for Obtaining Numerous Exact Solutions to Fractional Partial Differential Equations: A Generalized Algorithm and Several Applications by Elena V. Nikolova

“…Based on these methodological enhancements, a generalized SEsM algorithm has been developed to derive exact solutions of systems of FNPDEs. …”
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Analyzing Blockchain Consensus Mechanisms for Internet of Things Networks by Maxim Melnikov, Elena Igonina

“…A carefully selected algorithm, based on which the consensus of transactions occurs, can provide the network with such properties as fault tolerance and immutability. …”
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A laboratory feasibility study using a computer algorithm for anastomosis segmentation of epicardial ultrasonography images from distal coronary artery bypass anastomoses by Alex Skovsbo Jørgensen, Martin Siemienski Andersen, Lasse Riis Østergaard, Samuel Emil Schmidt, Dorte Nøhr, Jan Jesper Andreasen

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Validity of algorithms for identifying mild traumatic brain injury in the French national emergency department database OSCOUR: a retrospective multicentre validation study protoco... by Nozar Aghakhani, Fleur Lorton, Louis-Marie Paget, Anne Gallay, Nathalie Beltzer, Cécile Forgeot, Maurice Raphael

“…Algorithms to be tested will be based on International Classification of Diseases (ICD)-10 codes.Methods and analysis We will perform a multicentre validation study of algorithms for identifying mTBI in OSCOUR. …”
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Adaptive multilevel attention deeplabv3+ with heuristic based frame work for semantic segmentation of aerial images using improved golden jackal optimization algorithm by Anilkumar P, Venugopal P, Satheesh Kumar S, Jagannadha Naidu K

“…To put more weights on relevant features squeeze and excitation units has been included in the decoder section of deeplabv3+. …”
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Toward a Clinical Decision Support System for Monitoring Therapeutic Antituberculosis Medical Drugs in Tanzania (Project TuberXpert): Protocol for an Algorithm' Development and Imp... by Yann Thoma, Annie E Cathignol, Yuan J Pétermann, Margaretha L Sariko, Bibie Said, Chantal Csajka, Monia Guidi, Stellah G Mpagama

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Research on scenario recognition for THz channels based on mRMR-GA by HAO Xinyu, LIAO Xi, WANG Yang, LIN Feng, LUO Jiao, ZHANG Jie

“…The crossover and mutation operations of channel characteristics were executed by the genetic algorithm (GA), and the optimal feature parameters with high scenario relevance were selected using the minimum redundancy maximum relevance (mRMR) criterion. …”
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Incorporating Intelligence in Multiple-Attribute Decision-Making using Algorithmic Framework and Double-Valued Neutrosophic Sets: Varied Applications to Employment Quality Evaluati... by Qiuyan Zhao, Wentao Li

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Trajectory analysis using data mining techniques by Gary Reyes

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LSTM-Based NLP Chatbot for Fish E-Marketplace at BBI Cangkiran Mijen by Tri Agus Wahyudi, Riana Defi Mahadji Putri, Ulfah Mediaty Arief, Vera Noviana Sulistyawan

“…Testing results indicate that the system demonstrates good functionality, is compatible across multiple devices and web browsers, and received positive feedback from users regarding ease of interaction and the relevance of chatbot responses. Algorithm validation results show an accuracy of 97%, precision of 94%, and recall of 95%.…”
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Development and Application of a Software Tool to Support the Teaching of Formal Languages by A. P. Sergushicheva, E. N. Davydova

“…The issue of training specialists in the field of information technology is still relevant, and the variety of programming languages is so great that it is not always possible to guess which of them will be in demand in professional activities. …”
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Formation of private performance criteria A-CDM taking into account the interests of the participants in the decision-making process in a dynamic environment by G. N. Lebedev, V. B. Malygin

“…The relevance of the choice is dictated by the presence of conflicting interests of stakeholders. …”
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Algorithm for phase distribution in power supply systems of single-phase electric receivers according to the criterion of minimization of the coefficient of load ununiformity of th... by A. A. Pesterev, S. S. Kostinskiy

“…RELEVANCE. Unbalance of loads adversely affects both the work of consumers and the electrical network itself. …”
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State of Health Estimation for Lithium-Ion Batteries Based on TCN-RVM by Yu Zhao, Yonghong Xu, Yidi Wei, Liang Tong, Yiyang Li, Minghui Gong, Hongguang Zhang, Baoying Peng, Yinlian Yan

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Joint User and Beam Selection in Millimeter Wave Networks by Santosh Kumar Singh, Satyabrata Sahu, Ayushi Thawait, Prasanna Chaporkar, Gaurav S. Kasbekar

“…Using detailed simulations, we demonstrate that the performance of our proposed greedy heuristics is close to that of the asymptotically optimal algorithms and superior to that of the most relevant algorithms proposed in prior work.…”
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Improving appendix cancer prediction with SHAP-based feature engineering for machine learning models: a prediction study by Ji Yoon Kim

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A New Algorithm Based on the Phytoplankton Absorption Coefficient for Red Tide Monitoring in the East China Sea via a Geostationary Ocean Color Imager (GOCI) by Xiaohui Xu, Yaqin Huang, Jian Chen, Zhi Zeng

“…The results indicate that this algorithm can effectively determine the occurrence locations of red tides and extract relevant information about them.…”
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Attitude-Predictive Control of Large-Diameter Shield Tunneling: PCA-SVR Machine Learning Algorithm Application in a Case Study of the Zhuhai Xingye Express Tunnel by Hui Li, Yijun Tan, Decheng Zeng, Dong Su, Shiye Qiao

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