Mapping sugarcane plantations in Northeast Thailand using multi-temporal data from multi-sensors and machine-learning algorithms by Savittri Ratanopad Suwanlee, Surasak Keawsomsee, Emma Izquierdo-Verdiguier, Jaturong Som-Ard, Alvaro Moreno-Martinez, Vorraveerukorn Veerachit, Jantima Polpinij, Kanokporn Rattanasuteerakul

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Risk Assessment and Spatial Zoning of Rainstorm and Flood Hazards in Mountainous Cities Using the Random Forest Algorithm and the SCS Model by Zixin Xie, Bo Shu

“…Through the Random Forest (RF) algorithm and the Soil Conservation Service (SCS) model, this study aimed to assess and demarcate rainstorm and flood hazard risks in Huangshan City. …”
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Developing Shuffled Frog-Leaping Algorithm (SFLA) Method to Solve Power Load-Constrained TCRTO Problems in Civil Engineering by Xingyu Tao, Heng Li, Chao Mao, Chen Wang, Jeffrey Boon Hui Yap, Samad Sepasgozar, Sara Shirowzhan, Timothy Rose

“…It is extensively acknowledged that excessive on-site electricity power load often causes power failure across a construction site and surrounding residential zones and can result in unforeseen schedule delay, construction quality problems, life inconvenience, and even property loss. However, energy management, such as power load optimization, has long been ignored in construction scheduling. …”
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Evaluation Modeling of Electric Bus Interior Sound Quality Based on Two Improved XGBoost Algorithms Using GS and PSO by Enlai ZHANG, Yi CHEN, Liang SU, Ruoyu ZHONGLIAN, Xianyi CHEN, Shangfeng JIANG

“…There is no doubt that traffic noise has become one of the main sources of urban noise, and the electric bus, as an important means of transport frequently used by people in daily life, has a direct impact on the psychological and auditory health of passengers due to its interior noise characteristics. …”
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Improving the Analytical Method of Convergence Using Runge-Kutta Optimization Algorithm for Solving Fractional-Order Nonlinear Differential Equations by Shwan Abdal, Kais Ibraheem

“…Among these algorithms is the bird flock algorithm (HAM-PSO). In this research, the Runge-Kutta algorithm (HAM-OBE) was used to improve the results of the homotopy method. …”
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Chemometric and meta-heuristic algorithms to find optimal wavelengths and predict ‘Red Delicious’ apples traits using Vis-NIR by Mahsa S. Razavi, Vali Rasouli Sharabiani, Mohammad Tahmasebi, Silvia Grassi, Mariusz Szymanek

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Decoding basic emotional states through integration of an fNIRS-based brain-computer interface with supervised learning algorithms. by Ayşenur Eser, Sinem Burcu Erdoğan

“…Three class classification performances of all algorithms were above 90% in terms of accuracy, sensitivity, specificity, F-1 score and precision metrics while two class accuracy performances of all algorithms were above 93% in terms of each performance metric. …”
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Online Traffic Crash Risk Inference Method Using Detection Transformer and Support Vector Machine Optimized by Biomimetic Algorithm by Bihui Zhang, Zhuqi Li, Bingjie Li, Jingbo Zhan, Songtao Deng, Yi Fang

“…The algorithm is developed by combining the Whale Optimization Algorithm (WOA) and Simulated Annealing (SA), resulting in a Hybrid Bionic Intelligent Optimization Algorithm. …”
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New Comprehensive Clinical Classification of the Dry Eye Syndrome Severity 2024. Part 2. Treatment Algorithm — the Opinion of Ophthalmologists by А. V. Trubilin, V. N. Trubilin, E. G. Poluninа, E. A. Kasparova, D. V. Andzhelova, K. A. Mirzabekova, Yu. V. Evstigneeva, K. V. Chinenova, I. A. Leshenko

“…Given the high level of expert agreement in the assessment (Randolph kappa coefficient above 0.6) when compiling the algorithm, it can be recommended for use in a wide ophthalmological practice, including primary outpatient care.…”
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Research on multi-algorithm and explainable AI techniques for predictive modeling of acute spinal cord injury using multimodal data by Jiaojiao Tai, Linbang Wang, Yijun Xie, Yang Li, Hua Fu, Xiaowen Ma, Haiyan Li, Xinying Li, Ziqiang Yan, Jingkun Liu

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How to use learning curves to evaluate the sample size for malaria prediction models developed using machine learning algorithms by Sophie G. Zaloumis, Megha Rajasekhar, Julie A. Simpson

“…Data were simulated based on a previously published in vivo parasite gene expression dataset, which contained transcriptomes of 1043 P. falciparum isolates from patients with acute malaria, of which 29% (299/1043) were from slow clearing infections (parasite clearance half-life > 5 h). Learning curves were produced for two machine learning algorithms, sparse Partial Least Squares-Discriminant Analysis plus Support Vector Machines (sPLSDA + SVMs) and random forests. …”
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Coffee Leaf Rust Disease Detection and Implementation of an Edge Device for Pruning Infected Leaves via Deep Learning Algorithms by Raka Thoriq Araaf, Arkar Minn, Tofael Ahamed

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THE USE OF QALY AS AN INTEGRAL MEASURE OF EFFECTIVENESS IN THE EVALUATION OF MEDICAL TECHNOLOGIES by N. Z. Musina, V. K. Fedyaeva

“…This report addresses the ways of calculating QALY (Quality-adjusted life-year). OutsideRussia, a standardized methodology to calculate QALY is in use; such an approach makes it possible to apply this universal criterion of effectiveness to the evaluation of new health technologies. …”
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Software with artificial intelligence-derived algorithms for detecting and analysing lung nodules in CT scans: systematic review and economic evaluation by Julia Geppert, Peter Auguste, Asra Asgharzadeh, Hesam Ghiasvand, Mubarak Patel, Anna Brown, Surangi Jayakody, Emma Helm, Dan Todkill, Jason Madan, Chris Stinton, Daniel Gallacher, Sian Taylor-Phillips, Yen-Fu Chen

“…Morbidity; mortality; health-related quality of life; patients’ acceptance of use of the software. …”
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Research on the application of data mining based on digital economy in customer segmentation management by Zhang Chenglin

“…Especially after entering the era of big data, with the continuous development of social economy and science and technology, all walks of life are facing increasing pressure of market competition, and customer groups are showing a diversified trend. …”
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An Improved Routing Protocol for Optimum Quality of Service in Device-to-Device and Energy Efficiency in 5G/B5G by Sanusi Mohammad Bunu, Omar Younis Alani, Mohammad Saraee

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Empirical Study of Differentiated Learning Using The Moodle Platform on Personalized Informatics Subjects in Vocational High Schools by Jajang Kusnendar, Deni Darmawan, Rusman Rusman, Indriyani Rachman

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Energy-Efficient Computation Offloading and Resource Allocation in SWIPT-Based MEC Networks by E. Xuefei, Zhonggui Ma, Kaihang Yu

“…The second part adjusts the offloading decision by comparing the energy consumption of the two computation modes, and the third part proposes the integer Bat algorithm to assign sub-channel. The simulation results show that the energy efficiency of the binary offloading algorithm proposed in this article is 11% higher than the approximate algorithm based on the binary offloading KKT algorithm, and the relationship between various preset parameters and energy efficiency in the network is discussed.…”
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Automated Facial Animation Using Marker Point for Motion Extraction by Mehran Syed, Zeeshan Bhatti, Azar Akbar Memon, Zia Ahmed Shaikh, Ahmed Muhammad Sheikh, Nisar Ahmed Memon

“… In this research work, an automated 3D face expression generation technique is presented, which is extracted from real life video of face motion. The face expression is extracted from real human face using Huff-transform algorithm to gate the value of x coordinate and y coordinate, Covariance Matrix for detecting face marker points and Mahalanobis Distance to calculate the distance of each marker points within frames. …”
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Crossover operators for molecular graphs with an application to virtual drug screening by Nico Domschke, Bruno J. Schmidt, Thomas Gatter, Richard Golnik, Paul Eisenhuth, Fabian Liessmann, Jens Meiler, Peter F. Stadler

“…Abstract Genetic algorithms are a powerful method to solve optimization problems with complex cost functions over vast search spaces that rely in particular on recombining parts of previous solutions. …”
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