Predictors of Length-of-Stay Among Transcatheter Aortic Valve Replacement Patients Using a Supervised Machine Learning Algorithm by Gregory L. Judson, MD, Jeff Luck, PhD, Skye Lawrence, BA, Rakan Khaki, MPH, Harsh Agrawal, MD, Krishan Soni, MD, Kirsten Tolstrup, MD, Vijayadithyan Jaganathan, MD, Vaikom S. Mahadevan, MD

“…Objectives: This study aimed to develop a novel machine learning (ML) algorithm that would facilitate the understanding of the predictors of early and late hospital discharge in patients who have undergone TAVR. …”
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Large Language Model Approach for Zero-Shot Information Extraction and Clustering of Japanese Radiology Reports: Algorithm Development and Validation by Yosuke Yamagishi, Yuta Nakamura, Shouhei Hanaoka, Osamu Abe

“…ObjectiveThis study aimed to develop and evaluate an algorithm that uses large language models (LLMs) to extract information from Japanese lung cancer radiology reports and perform clustering analysis. …”
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Estimating Daily Reference Crop Evapotranspiration in Northeast China Using Optimized Empirical Models Based on Heuristic Intelligence Algorithms by Zongyang Li, Zhengxin Zhao, Liwen Xing, Lu Zhao, Ningbo Cui, Huanjie Cai

“…By using the least square method (LSM) and three population heuristic intelligent algorithms—a genetic algorithm (GA), a particle swarm optimization algorithm (PSO), and a differential evolution algorithm (DE)—the parameters of eleven kinds of models were optimized, respectively, and the ETo estimation model suitable for northeast China was selected. …”
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Identifying major depressive disorder among US adults living alone using stacked ensemble machine learning algorithms by Zhao Chen, Hao Liu, Yao Zhang, Fei Xing, Jiabao Jiang, Zhou Xiang, Zhou Xiang, Xin Duan, Xin Duan

“…We constructed a SEML model for MDD detection, incorporating three conventional machine learning algorithms as base models and a Neural Network (NN) as the meta-model. …”
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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

“…Resource use and costs for both models were obtained from the cost-effectiveness literature and NHS reference cost schedule. …”
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Using Optimization Algorithms for Effective Missing-Data Imputation: A Case Study of Tabular Data Derived from Video Surveillance by Mahmoud M. Eid, Kamal ElDahshan, Abdelatif H. Abouali, Alaa Tharwat

“…The first set uses synthetic datasets to compare four optimization algorithms—Particle Swarm Optimization (PSO), Grey Wolf Optimization (GWO), Whale Optimization Algorithm (WOA), and the Sine–Cosine Algorithm (SCA)—to determine which one best identifies features related to the target feature. …”
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Non-unit protection method for boundary-component-free MTDC systems using normalized backward traveling waves by Fan Xie, Le Liu, Zhiguo Hao, Ting Wang, Songhao Yang, Aleksandra Lekić, Marjan Popov

“…Then, the derivative-free conjugate gradient algorithm is utilized for amplitude fitting and normalization calculation. …”
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ON THE CHOICE OF THE OPTIMAL POINTS OF OPENING IN CITY POWER GRIDS IN THE CONDITIONS OF THE SMART GRID by M. I. Fursanov, A. A. Zоlotoy

“…Therefore, the accounting of such generating sources becomes necessary as one of the objectives of managing the modes of urban electric networks (both traditional ones and the ones in the SMART GRID conditions). …”
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A new stochastic multi-objective model for the optimal management of a PV/wind integrated energy system with demand response, P2G, and energy storage devices by Hossein Faramarzi, Navid Ghaffarzadeh, Farhad Shahnia

“…Non-dominated sorting genetic algorithm III (NSGA-III) is employed to efficiently search for the optimal solutions. …”
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Utilizing LSTM-GRU for IOT-Based Water Level Prediction Using Multi-Variable Rainfall Time Series Data by Indrastanti Ratna Widiasari, Rissal Efendi

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Optimized and Routed Wiring Harness Based on Zonal Clustering Concept Using AI in the Automotive Industry by Md Sanowar Hossain, Hafiz Abdul Quddus, Ziya Cevahir, Alexander Jesser

“…A methodology integrating K-means clustering with dynamic grid-based routing algorithms (A* and Bresenham’s line algorithm) is applied to optimize the wiring harness layout across the vehicle’s zones, covering six key domains (comfort, chassis, drive assist, infotainment, system, and powertrain). …”
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An Aliasing Measure of Factor Effects in Three-Level Regular Designs by Qiuying Chen, Zhiming Li, Zhi Li

“…For three-level regular designs, the confounding from the perspectives of both factor and component effects leads to different results. …”
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Development of a PYTHON library for a mathematical model of nuclear reactor kinetics by Aleksei G. Goryunov, Danil D. Kachanov, Kirill D. Kachanov

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<p><strong>Evaluation of geostatistical method and hybrid artificial neural network with imperialist competitive algorithm for predicting distribution pattern of <em>Tetranychus</e... by Alireza Shabaninejad, Bahram Tafaghodinia, Nooshin Zandi-Sohani

“…In general, it can be concluded that the ANN with imperialist competitive algorithm approach with combining latitude and longitude can forecast pest density with sufficient accuracy. …”
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Solution of Bin Packing Instances in Falkenauer T Class: Not So Hard by György Dósa, András Éles, Angshuman Robin Goswami, István Szalkai, Zsolt Tuza

“…In theory, both operating modes are guaranteed to find a solution. …”
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Research of the Finite State Machine with Programmable Logic as a Part of Digital Information and Control System Based on FPGA by Barkalov A., Titarenko L., Zeleneva I., Hrushko S.

“…Advantages and disadvantages of both models were determined according to the peculiarities of the information and control system algorithms, and, it was proved that the FSM model with a programmable logic matched these peculiarities in a greater degree. …”
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Intelligent Dynamic Multi-Dimensional Heterogeneous Resource Scheduling Optimization Strategy Based on Kubernetes by Jialin Cai, Hui Zeng, Feifei Liu, Junming Chen

“…Experimental results showed that, under low-load conditions, our method reduced task response times by 31–36%, increased throughput by 20–50%, and boosted resource utilization by over 20% compared to both the default Kubernetes scheduler and the Kubernetes Container Scheduling Strategy (KCSS) algorithm. …”
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LPBSA: Pre-clinical data analysis using advanced machine learning models for disease prediction by Dana R. Hamad, Tarik A. Rashid

“…The algorithm was tested on six preclinical datasets (one is related to diabetes, two are related to heart disease, and three are related to COVID-19). …”
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New Quantum Cryptanalysis of Binary Elliptic Curves by Kyungbae Jang, Vikas Srivastava, Anubhab Baksi, Santanu Sarkar, Hwajeong Seo

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Optimizing Equivalent Property-Damage-Only (EPDO) Prediction Models with Genetic Algorithms: A Case Study on Roundabout Geometric Characteristics by Hossein Samadi, Omid Rahmani, Khaled Shaaban, Amir Saman Abdollahzadeh Nasiri, Mehrzad Hasanvand

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