Scale-Invariant Feature Transform Algorithm with Fast Approximate Nearest Neighbor by Ekhlas Khalaf Gbash, Suha Mohammed Saleh

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Scanning Micromirror Calibration Method Based on PSO-LSSVM Algorithm Prediction by Yan Liu, Xiang Cheng, Tingting Zhang, Yu Xu, Weijia Cai, Fengtian Han

“…The decision factor (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msup><mi>R</mi><mn>2</mn></msup></mrow></semantics></math></inline-formula>) for this model at the <i>x</i>-axis reaches a value of 0.9947.…”
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Hybridization of metaheuristic algorithms for resource scheduling in distributed robotic control system by P. Anand Raj, M. Rajakumaran, S. Palani Murugan, S. Senthilkumar

“…Additionally, the Improved Elephant Herd Optimization (IEHO) algorithm is employed for optimal route selection, leveraging genetic operators to enhance exploration and exploitation capabilities. …”
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A modelling framework based on MDP to coordinate farmers' disease control decisions at a regional scale. by Anne-France Viet, Stéphane Krebs, Olivier Rat-Aspert, Laurent Jeanpierre, Catherine Belloc, Pauline Ezanno

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Purchasing Prediction Using Machine Learning Algorithms for Optimizing Inventory Management by Reza Hamdi Prayetno, Rani Destika Purba, Kyrene Wirawan, Kelvin Sweet, Evta Indra

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A new binary grasshopper optimization algorithm for feature selection problem by Haouassi Hichem, Merah Elkamel, Mehdaoui Rafik, Maarouk Toufik Mesaaoud, Chouhal Ouahiba

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How machine learning is embedded to support clinician decision making: an analysis of FDA-approved medical devices by Enrico Coiera, Farah Magrabi, David Lyell, Jessica Chen, Parina Shah

“…Devices commonly assisted with diagnostic (n=35) and triage (n=10) tasks. Twenty-three devices were assistive, providing decision support but left clinicians to make important decisions including diagnosis. …”
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Model and Algorithm of the Robust Generation Schedule Based on Confidence Risk Measurement by Pengfei LI, Yanqiu HOU, Jiaxin ZOU, Shujie ZHANG, Pai LI, Jikeng LIN

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Density Peaks Clustering Algorithm Based on Neighborhood Radius and Membership Degree by Fuxiang Li, Tingting Jiang, Jia Wei, Shu Li, Yunxiao Shan

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Computer-Aided Quantum Algorithms for Real-Time Energy Market Trading by Jinghui Wu, Wenjun Zhu, Yun Xu, Kangan Shu, Wei Yang

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Random Oversampling-Based Diabetes Classification via Machine Learning Algorithms by G. R. Ashisha, X. Anitha Mary, E. Grace Mary Kanaga, J. Andrew, R. Jennifer Eunice

“…The proposed approach considers ML algorithms such as random forest, gradient boosting models, light gradient boosting classifiers, and decision trees, as they are widely used classification algorithms for diabetes prediction. …”
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Parameter Identification of Permanent Magnet Synchronous Motor Based on LSOSMO Algorithm by Songcan Zhang, Zhuangzhuang Zhou, Yi Pu, Yan Li, Yingxi Xu

“…First, the logistic sinusoidal chaotic mapping strategy was used to enhance the uniformity of the initial population of the spider monkey optimization (SMO) algorithm. Then, in the local leader stage and the local leader decision stage of the SMO, the dynamic probability adaptive T-distribution method and opposition-based learning strategy are used to replace the greedy selection strategy, increase the position disturbance, and balance the global search and local search ability of the algorithm, so as to improve the performance and convergence speed of the algorithm. …”
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Meta-transformer: leveraging metaheuristic algorithms for agricultural commodity price forecasting by G. H. Harish Nayak, Md. Wasi Alam, B. Samuel Naik, B. S. Varshini, G. Avinash, Rajeev Ranjan Kumar, Mrinmoy Ray, K. N. Singh

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Optimized Negative Selection Algorithm for Image Classification in Multimodal Biometric System by Monsurat Omolara Balogun, Latifat Adeola Odeniyi, Elijah Olusola Omidiora, Stephen Olatunde Olabiyisi, Adeleye Samuel Falohun

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A big data analysis algorithm for massive sensor medical images by Sarah A. Alzakari, Nuha Alruwais, Shaymaa Sorour, Shouki A. Ebad, Asma Abbas Hassan Elnour, Ahmed Sayed

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Integration of Architectural and Cytologic Driven Image Algorithms for Prostate Adenocarcinoma Identification by Jason Hipp, James Monaco, L. Priya Kunju, Jerome Cheng, Yukako Yagi, Jaime Rodriguez-Canales, Michael R. Emmert-Buck, Stephen Hewitt, Michael D. Feldman, John E. Tomaszewski, Mehmet Toner, Ronald G. Tompkins, Thomas Flotte, David Lucas, John R. Gilbertson, Anant Madabhushi, Ulysses Balis

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Crop Type Classification by DESIS Hyperspectral Imagery and Machine Learning Algorithms by Nizom Farmonov, Khilola Amankulova, Jozsef Szatmari, Alireza Sharifi, Dariush Abbasi-Moghadam, Seyed Mahdi Mirhoseini Nejad, Laszlo Mucsi

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Comparison of algorithms for multi-objective optimization of radio technical device characteristics by A. V. Smirnov

“…One of the compared algorithms comprises the Third Evolution Step of Generalized Differential Evolution (GDE3) population-based algorithm for searching the full approximation of the Pareto set simultaneously, while the other three algorithms minimize the scalar objective function to find only one element of the Pareto set in a single search cycle: these comprise Multistart Pattern Search (MSPS), Multistart Sequential Quadratic Programming (MSSQP) method and Particle Swarm Optimization (PSO) algorithms.Results. …”
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Dataset resulting from the user study on comprehensibility of explainable AI algorithms by Szymon Bobek, Paloma Korycińska, Monika Krakowska, Maciej Mozolewski, Dorota Rak, Magdalena Zych, Magdalena Wójcik, Grzegorz J. Nalepa

“…Abstract This paper introduces a dataset that is the result of a user study on the comprehensibility of explainable artificial intelligence (XAI) algorithms. The study participants were recruited from 149 candidates to form three groups representing experts in the domain of mycology (DE), students with a data science and visualization background (IT) and students from social sciences and humanities (SSH). …”
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Enhancing Automated Maneuvering Decisions in UCAV Air Combat Games Using Homotopy-Based Reinforcement Learning by Yiwen Zhu, Yuan Zheng, Wenya Wei, Zhou Fang

“…In the field of real-time autonomous decision-making for Unmanned Combat Aerial Vehicles (UCAVs), reinforcement learning is widely used to enhance their decision-making capabilities in high-dimensional spaces. …”
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